From dce5cddaa7a668c36bf4f1be2f0a21d607ca1a81 Mon Sep 17 00:00:00 2001 From: deus_machinea Date: Sat, 18 Oct 2025 03:51:23 +0530 Subject: [PATCH 1/5] Add Bytebell grant application Updated team name and payment details, revised project overview, and adjusted pricing structure. Enhanced user stories and deliverables for upcoming milestones. --- bytebell.ai | 470 ++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 470 insertions(+) create mode 100644 bytebell.ai diff --git a/bytebell.ai b/bytebell.ai new file mode 100644 index 00000000000..d44112db541 --- /dev/null +++ b/bytebell.ai @@ -0,0 +1,470 @@ +# Bytebell - Context Copilot for Polkadot Ecosystem + +- **Team Name:** Bytebell AI Private Limited +- **Payment Details:** + - **DOT**: 1NY6JBh7KqtWiFVC11fZhoyTH8vEXoJFJRiBFBWoh6kj7GP + +- **Level:** 2 + +# Bytebell - Developer Copilot for Polkadot Ecosystem + +## Project Overview :page_facing_up: + +### Overview + +**Tagline:** Unified context for the entire Polkadot stack—code, governance, and community, with receipts. + +Bytebell is a developer copilot that prevents technical knowledge from scattering across your organization. We're building Polkadot ecosystem support so developers can query across substrate codebases, parachain documentation, governance discussions, and technical specifications—all in one place, with every answer tied to exact file, line, branch, and release. + +Right now, Polkadot developers waste hours digging through substrate repos, parachain docs, and forum threads trying to piece together how things actually work. A runtime upgrade discussion lives in a governance post. The actual implementation is spread across three repos. Best practices exist only in someone's head or a Discord thread from six months ago. New parachain teams spend weeks just trying to understand the context they need. + +We're interested in this because we've felt this pain building in the Web3 space. I spent years at Polygon and Biconomy dealing with fragmented infrastructure knowledge. Every new engineer took months to get productive because context was everywhere and nowhere. We built Bytebell to solve this—and Polkadot's technical depth makes it the perfect ecosystem to prove the value of unified, verifiable context. + +### Project Details + +**What we're building:** + +A Polkadot-native deployment of Bytebell that ingests: +- Substrate core repos and pallets +- Parachain codebases (Moonbeam, Astar, Acala, etc.) +- Polkadot Forum discussions and governance proposals +- Technical RFCs and specification documents +- Key ecosystem documentation sites + +**Core features:** +- Version-aware context graph linking code to discussions to specs +- Multi-agent retrieval that searches across all sources in parallel +- Receipt-based answers (file path, line number, commit hash, discussion link) +- Permission-aware access (respects private repos for teams) +- Works via web interface, MCP client, and coming soon - IDE plugins + +**Technology stack:** +- VoltAgent framework (our multi-agent orchestration system) +- Vector embeddings for semantic search +- Graph database for relationship mapping +- SLMs and LLMs +- Permission inheritance from GitHub/GitLab + +**What we already have:** +- Working product serving other ecosystems (ZK, Ethereum, SEI) +- 5 paying customers at $1200/month +- Proven ingestion pipeline for code, docs, PDFs, and discussions +- Multi-agent architecture that reduces hallucinations to near zero + +**What we're NOT building:** +- A blockchain indexer (we query existing infrastructure) +- A code review tool or CI/CD system +- A general chatbot (we only answer with verified sources) +- Token-gated features or tokenomics + +**Prior work:** +- Live deployment: https://zk.bytebell.ai (try it with ZK rollup questions) +- GitHub: https://github.com/ByteBell + +### Ecosystem Fit + +**Where we fit:** +Bytebell sits between developers and the fragmented Polkadot knowledge base. We're infrastructure for knowledge access—making the entire ecosystem's technical context queryable and verifiable. + +**Target audience:** +- Parachain development teams building on Substrate +- New developers onboarding to Polkadot +- DevRel teams at parachains and ecosystem projects +- Core protocol contributors navigating complex codebases +- Governance participants researching technical proposals + +**Needs we meet:** +1. **Faster onboarding** - New devs can ask questions and get cited answers instead of spending weeks reading docs +2. **Cross-repo context** - Understanding how pallets interact across different parachains +3. **Governance clarity** - Linking proposals to actual implementation and discussion history +4. **Reduced knowledge silos** - When experienced devs leave, their knowledge stays accessible +5. **Better technical decisions** - Complete context from code, specs, and community discussions + +**Evidence of need:** +We've spoken to 30+ teams in Web3. The pattern is consistent: +- Web3 learning curve is notoriously steep (forum discussions full of "where do I even start") +- Onboarding developers repeatedly ask the same questions across multiple channels +- Every parachain maintains its own partial documentation, none comprehensive +- Senior devs spend 15-20% of time answering repeated questions +- Onboarding new engineers takes 3-6 months before first meaningful PR + +Specific data points: +- Polkadot Forum has thousands of discussions with valuable context scattered across threads +- Substrate documentation site gets 50K+ visits monthly but conversion to actual developers is low +- Multiple teams have told us "if we could search all our context at once, we'd save days per sprint" + +**Similar projects in ecosystem:** +Not really. There are general AI coding assistants (Cursor, GitHub Copilot) but they: +- Work on single repos, not cross-ecosystem context +- Don't understand Substrate-specific patterns +- Hallucinate frequently because they lack version awareness +- Can't connect governance discussions to actual code + +Polkadot has great documentation sites (docs.substrate.io, wiki.polkadot.network) but they're: +- Static and hard to search across +- Disconnected from actual code implementations +- Don't capture community knowledge from forums/discussions +- No way to filter by runtime version or specific parachain + +**Similar projects in other ecosystems:** +We're aware of some documentation aggregators and AI coding tools, but none combine: +- Version-aware knowledge graphs +- Receipt-based verification (refuse to answer without proof) +- Cross-source context (code + docs + discussions) +- On-chain state awareness +- Permission governance + +The closest might be Mintlify or Gitbook for docs, but they don't handle code repositories or community discussions, and they don't provide the graph structure that makes context compound over time. + +## Team :busts_in_silhouette: + +### Team members + +- Saurav Verma (Co-Founder & CEO) [https://github.com/deusmachinea] +- CJ (Co-founder, Head of Engineering) [https://github.com/dev-cj] +- Nitesh (Team) [https://github.com/nitesh32] +- Lovanshu (Team) [https://github.com/bharatsachya] +- Sharvit (Team) [https://github.com/sharvitKashikar] +- Kavish (Team) [https://github.com/dranzer-17] + +### Contact + +- **Contact Name:** Saurav Verma +- **Contact Email:** saurav@bytebell.ai +- **Linkedin:** https://www.linkedin.com/in/saurav1verma/ + +### Legal Structure + +- **Registered Address:** New Delhi, India + +### Team's experience + +**Saurav Verma:** +- IIT Delhi, Class of 2008 +- VP Engineering at Polygon (handling millions of daily transactions) +- Built scalability systems at Biconomy (10M+ requests/day) +- Worked with Government of India launching 10+ digital projects +- Previous startup exit in 2012 +- 15+ years shipping production systems at scale + +**CJ:** +- 8+ years in ML and blockchain infrastructure +- Built production systems handling high-frequency trading data +- Previous work on AI agent frameworks +- Deep experience with vector databases and semantic search + +Together we've built multiple projects (QCI, ama.fans, Uniping) and have learned the hard way what users actually pay for versus what's just interesting tech. We're past the "build cool things" phase—we're focused on solving real problems that teams will pay to fix. + +We haven't applied for W3F grants previously, but we've been in the Polkadot ecosystem for years. I've debugged Substrate nodes, helped teams with runtime upgrades, and spent enough time in the forums to know where the pain points are. + +### Team Code Repos + +- https://github.com/ByteBell + +Note: Some of our core infrastructure is currently private as we're in active development with paying customers. We'll open source relevant components as part of this grant. + +### Team LinkedIn Profiles + +- https://www.linkedin.com/in/saurav1verma/ (Saurav) +- https://www.linkedin.com/in/chaitanyajatoliya/ (Chaitanya) + +## Development Status :open_book: + +We've already built the core Bytebell platform and have it running in production for other ecosystems: + +**Live deployments:** +- ZK Ecosystem: https://zk.bytebell.ai +- Ethereum Ecosystem: https://ethereum.bytebell.ai + +**Current status:** +- 5 paying customers at $1500/month +- 13 completed or active pilots +- Hundreds of queries processed weekly +- v2.0 shipped, moving to v3.0 + +**Relevant prior research:** +- We've analyzed context window limitations in LLMs: https://nrehiew.github.io/blog/long_context/ ad context rot +- Built multi-agent systems for reducing hallucinations +- Developed version-aware ingestion for multiple git hosting platforms +- Created permission inheritance from identity providers + +**Why this grant:** +We want to build Polkadot-specific features that make sense for the ecosystem but wouldn't be covered by our standard subscription model: +- Substrate pallet-aware parsing +- Polkadot Forum and governance integration +- Parachain-specific best practices corpus + + +## Development Roadmap :nut_and_bolt: + +### Overview + +- **Total Estimated Duration:** 3 months + 9 months maintenance +- ** Average Full-Time Equivalent (FTE): 1.5 FTE +- **Total Costs:** 30,000 DAI +- **DOT %:** 0% (requesting full payment in DAI) + +### Milestone 1 — Substrate Parser & Ecosystem Documentation Integration + +- **Estimated duration:** 1 month +- **FTE:** 2.5 +- **Costs:** 15,000 DAI + +**User Stories:** +- "How do I configure a custom pallet in my Substrate runtime?" +- "Show me examples of pallets that implement the on_initialize hook" +- "What's the difference between StorageMap and StorageDoubleMap and when should I use each?" +- "How do I add the Balances pallet to my runtime and configure it?" +- "What pallets does Moonbeam use for EVM compatibility?" + +**Deliverables:** + +| Number | Deliverable | Specification | +| -----: | ----------- | ------------- | +| **0a.** | License | Apache 2.0 | +| **0b.** | Documentation | Complete setup guide for integrating Bytebell's embeddable component into documentation sites. Tutorial showing how to query across Substrate pallets with source citations. | +| **0c.** | Testing Guide | Unit tests for: Substrate project parsing, pallet dependency extraction, runtime configuration tracking, FRAME macro recognition. Guide covers local testing procedures and validation steps. | +| **0d.** | Article | Technical writeup on parsing Substrate's architecture and maintaining version-accurate context across runtime upgrades. Audience: Polkadot SDK developers. | +| 1. | Substrate-Aware Ingestion Engine | Custom parser understanding Substrate project structure: pallet organization, runtime configs, FRAME patterns, trait implementations. Extracts relationships between pallets, maps dispatchable calls to implementations, tracks storage items and hooks. | +| 2. | Extended Documentation Corpus | Index comprehensive Polkadot ecosystem resources: Polkadot Wiki, docs.polkadot.com, Substrate documentation, parachain-specific guides (Moonbeam, Astar, Acala, HydraDX, Phala), technical RFCs, and community tutorials. Total: 100+ documents with receipts to exact sections. | +| 3. | Embeddable Query Widget | JavaScript component for documentation sites with sub-2 second response times. Features: receipt-backed answers, source highlighting, configurable styling, mobile responsive. Handles 20+ concurrent users without performance degradation. | +| 4. | Content Management Dashboard | Admin panel for documentation maintainers: add/update/remove indexed sources, trigger re-indexing of specific repositories, monitor indexing status, view citation accuracy metrics. New resources indexed within 10 minutes of submission. | + +**Acceptance Criteria:** +- Widget successfully embedded on Polkadot documentation sites with <2s initial load +- Admin dashboard enables content updates with re-indexing completed in <10 minutes +- Extended corpus covers 100+ documents with ≥99% citation accuracy rate +- System maintains performance with 20+ simultaneous users querying different topics + +--- + +### Milestone 2 — Runtime Version Tracking & Developer Workflow Integration + +- **Estimated duration:** 1 month +- **FTE:** 2 +- **Costs:** 7,000 DAI + +**User Stories:** +- "What changed in the Staking pallet between runtime 9430 and 9340?" +- "How does nomination pool work in the latest Polkadot runtime version?" +- "Show me all the code changes related to OpenGov in the last 3 months" +- "Which runtime version introduced XCM v3 and what breaking changes did it include?" +- "How do I upgrade my parachain runtime without a hard fork?" + +**Deliverables:** + +| Number | Deliverable | Specification | +| -----: | ----------- | ------------- | +| **0a.** | License | Apache 2.0 | +| **0b.** | Documentation | Guide for setting up MCP client integration with popular development environments. Documentation on querying by runtime version, filtering by block ranges, and interpreting on-chain context in answers. Tutorial on automated documentation workflows. | +| **0c.** | Testing Guide | Integration tests for: RPC node connectivity, runtime version extraction, block/extrinsic lookups, automated documentation regeneration workflows, real-time GitHub sync. Tests verify correct version binding in citations. | +| **0d.** | Article | Case study showing how runtime version awareness prevents outdated answers, with examples of queries that span multiple Polkadot runtime upgrades. Technical audience. | +| 1. | Model Context Protocol Server | MCP-compliant server for Polkadot ecosystem queries. Integrates with Claude Desktop, Cursor IDE, and other MCP-compatible tools. Responds to queries within 3 seconds. Auto-detects Substrate code contexts and provides relevant parachain-specific information. | +| 2. | Runtime Version Intelligence | Track runtime versions from on-chain data via RPC integration. Map code changes to specific runtime upgrades. Answer queries like "how did staking work in runtime 9430" or "what changed between runtime 1002000 and 1002001". Include runtime version, block height, and upgrade proposal references in citations. | +| 3. | Real-Time Repository Ingestion | Continuous GitHub ingestion pipeline for Polkadot core repos, Substrate, Cumulus, and major parachains. Incremental indexing updates within 5 minutes of new commits, PRs, or issues. Support for querying specific branches, commit ranges, and PR diffs. Integration with GitHub API for metadata (authors, timestamps, linked issues, review comments). | +| 4. | Automated Documentation Pipeline | GitHub Actions workflows triggering on pushes to monitored branches (main, develop, release/*). Auto-regenerate API references, code examples, and integration guides when underlying code changes. Webhook-based triggers for real-time updates. Documentation generated within 15 minutes of commit. | +| 5. | Governance Proposals | When answering questions about protocol functionality, include: links to governance proposals that enacted changes. Example citation: "Nomination pools introduced in runtime 9340 (block 13,654,321, Referendum 241)". | + +**Acceptance Criteria:** +- MCP server integrates successfully with Cursor and Claude Desktop, <3s query response time +- Automated documentation generation completes within 15 minutes of code commits to tracked branches +- Generated docs include tested code examples validated against current codebase version +- Webhook triggers fire successfully for ≥95% of qualifying commits +- Runtime version tracking accurately identifies behavior changes across 10+ major upgrades +- New commits indexed and queryable within 5 minutes of repository push +- Bytebell accurately answers questions about PRs merged in the last 48 hours +- System processes 100+ repository updates daily without indexing queue buildup + +--- + +### Milestone 3 — Analytics Dashboard & User Insights + +- **Estimated duration:** 1 month +- **FTE:** 0.5 +- **Costs:** 4,000 DAI + +**User Stories:** + +- "As a DevRel manager, I want to see which topics developers ask about most frequently so I can prioritize documentation improvements for high-impact areas." +- "As a Polkadot ecosystem lead, I want real-time analytics showing query patterns as they happen so I can respond quickly to emerging developer confusion or breaking changes." +- "As a grants committee member, I want to filter queries by parachain, time period, and topic so I can understand which parts of the ecosystem need more developer support." +- "As a technical writer, I want to identify documentation gaps where developers consistently ask questions without finding good answers so I know which guides to create next." +- "As a community manager, I want to see geographic distribution of queries so I can plan regional developer workshops and focus outreach efforts where engagement is highest." +- "As a core contributor, I want to export detailed query data including timestamps, topics, and citation rates so I can analyze developer behavior patterns for research purposes." +- "As a developer advocate, I want to log in with my GitHub account to access personalized analytics and track queries from developers in my region or working on specific parachains." +- "As a product manager, I want to compare query acceptance rates and satisfaction scores across different documentation sections so I can measure content quality objectively." +- "As an ecosystem researcher, I want to identify trending questions that spike suddenly so I can detect when runtime upgrades or protocol changes are causing developer friction." +- "As a parachain maintainer, I want to see which queries about my parachain remain unanswered so I can improve our documentation and support materials." + +**Deliverables:** + +| Number | Deliverable | Specification | +| -----: | ----------- | ------------- | +| **0a.** | License | Apache 2.0 | +| **0b.** | Documentation | Analytics dashboard user guide covering all metrics, filters, and export options. Privacy policy documentation for user tracking and data retention. | +| **0c.** | Testing Guide | Performance tests for dashboard under load (10,000+ queries). Tests for authentication flows, data export functionality, and real-time updates. Privacy control validation. | +| **0d.** | Article | Insights report analyzing first 30 days of query patterns: top topics, knowledge gaps identified, geographic distribution, citation effectiveness. Recommendations for documentation improvements. | +| 1. | Comprehensive Analytics Platform | Dashboard displaying: query volume and trends over time, topic clustering and frequency analysis, geographic user distribution (based on timezone/IP), session metrics (duration, queries per session, return rates), most frequently asked questions, unanswered query patterns, citation click-through rates, answer acceptance and feedback scores, parachain-specific query breakdowns. Real-time updates with configurable date ranges and cohort filters. | +| 2. | User Authentication System | Optional login via GitHub OAuth and email/password. Anonymous usage tracking with privacy controls. Authenticated users can save query history and preferences. <5 second authentication flow. Compliant with GDPR and data privacy regulations. | +| 3. | Knowledge Gap Intelligence | Automated identification of: top 30 most-asked questions, queries with low citation rates (potential documentation gaps), topics with high search volume but limited indexed content, trending questions (spike detection), comparative analysis across parachains and protocol features. | +| 4. | Exportable Reporting | Generate reports in CSV and JSON formats including: complete query logs with timestamps, citation sources and click-through data, user engagement metrics and session data, topic clusters and frequency counts, geographic distribution summaries. Reports generated on-demand or scheduled automatically. | + +**Acceptance Criteria:** +- Analytics dashboard processes 15,000+ queries with <3s load time for any view +- Top 30 most-asked questions identified automatically with ≥90% accuracy +- GitHub OAuth authentication completes in <5 seconds with proper error handling +- Geographic analytics show user distribution across ≥20 countries during pilot +- Exportable reports include all specified metrics with granular filtering options +- Dashboard identifies ≥10 clear documentation gaps based on query patterns +- Real-time updates reflect new queries within 30 seconds + +--- + +### Milestone 4 — Maintenance & Ecosystem Impact Assessment + +- **Estimated duration:** 9 months +- **FTE:** 0.5 +- **Costs:** 4,000 DAI + +**User Stories:** +- "As ecosystem leadership, I want a comprehensive impact report demonstrating ROI and developer satisfaction to justify continued investment." +- "As a potential adopter in another ecosystem, I want quantified benefits and case studies to evaluate Bytebell for our project." +- "As the grants committee, I want evidence of developer adoption, usage patterns, and measurable outcomes to assess project success." + +**Deliverables:** + +| Number | Deliverable | Specification | +| -----: | ----------- | ------------- | +| **0a.** | License | Apache 2.0 | +| **0b.** | Documentation | Complete operational guide for Polkadot ecosystem teams to manage Bytebell independently. Includes: infrastructure requirements, scaling guidelines, maintenance procedures, troubleshooting workflows, cost projections. | +| **0c.** | TTesting Guide | Stress tests demonstrating system stability under production load. Uptime monitoring validation. Performance benchmarks for various query types and load scenarios. | +| **0d.** | Article | Public impact report with key findings, case studies, and future roadmap. Additional internal comprehensive report for W3F with detailed metrics, cost analysis, and sustainability recommendations. | +| 1. | Complete Impact Assessment | Report including: total queries processed, unique active users, query resolution rate and accuracy, average time-to-answer vs traditional support channels (forum posts), documentation gap analysis with prioritized recommendations, developer satisfaction survey results (NPS, CSAT scores), time-to-first-contribution metrics for new developers, support ticket deflection rates for covered topics. Includes 3-4 detailed case studies of parachain teams or individual developers showing concrete onboarding acceleration and productivity improvements. | +| 2. | Production-Ready System | Polkadot.bytebell.ai deployed with 99.5% uptime over final 9 months. Production monitoring, logging, and alerting infrastructure. Automated backup and disaster recovery procedures. Load balancing supporting 100+ concurrent users. Performance optimizations ensuring <4s p95 latency for complex queries. | +| 3. | Sustainability Plan | Detailed document covering: projected infrastructure costs at various usage scales (100, 500, 1000+ daily active users), recommended maintenance schedule and staffing requirements, monitoring and alerting best practices, suggested update cadence for indexed content, cost reduction strategies and optimization opportunities, path to community-managed operations. | +| 4. | Knowledge Transfer Package | Complete handoff materials enabling Polkadot ecosystem teams to operate independently: administrative guides and operational runbooks, troubleshooting documentation and FAQ, training session recordings for key personnel, direct support channel for first 90 days post-delivery, open-sourced components (Substrate parser, MCP server) with contribution guidelines. | + +**Acceptance Criteria:** +- System successfully handled ≥30,000 total queries with ≥92% citation accuracy rate +- Average query resolution time <4s (p95 latency) for production traffic +- Documented case studies show median time-to-first-PR for new contributors reduced by ≥25% +- Developer satisfaction survey shows ≥75% would recommend Bytebell to other Polkadot developers +- System maintained 99.5% uptime during final 3-month period +- Support ticket volume for indexed topics reduced by ≥35% in participating teams +- Complete documentation enables ecosystem teams to maintain and operate Bytebell independently +- Sustainability plan includes realistic cost projections validated against actual usage data +- Geographic reach spans ≥25 countries based on query analytics +- Knowledge transfer completed with at least 2 ecosystem team members trained + +**What "Maintenance + Automatic Feature Rollout" Means**: +During these 9 months, the Bytebell team will: + +- Monitor system performance and uptime (99.5%+ target) +- Respond to bug reports and technical issues +- **Automatically deploy new features developed for our core platform, including**: + +- **Team context features**: Workspace-specific knowledge graphs, team permission management +- **Enhanced user histories**: Personalized query history, learning patterns, context carryover between sessions +- **Custom-trained models**: Polkadot/Substrate-specific fine-tuned models for improved accuracy +- **Advanced retrieval techniques**: As we improve our RAG pipeline, Polkadot deployment benefits automatically +Any other product improvements shipped to our production platform + +**Community Engagement Requirements**: + +- Active Telegram group maintained with Polkadot core developers, parachain teams, and community members +- Weekly engagement summary reports +- Monthly community calls to review feedback and discuss upcoming features +- Quarterly developer satisfaction surveys +- Direct channel for urgent issues and feature requests +--- + +## Future Plans + +**Short term (3-6 months post-grant):** +- Gather feedback and iterate on Substrate-specific features +- Ship IDE plugins (VS Code, IntelliJ) with Polkadot-aware features +- Present at Sub0 or Polkadot Decoded to drive adoption + +**Long-term maintenance:** + +We're building Bytebell as a sustainable SaaS business. During the 12-month grant period, the Polkadot deployment will be completely free for the entire ecosystem. During this period, all parachain teams, individual developers, core contributors, and community members will have unrestricted access to the full feature set—including private repo integration, analytics, and priority support—at no cost. +After the initial grant-funded year, we'll transition to a sustainable model: + +Free tier: Public repos and ecosystem docs (always free for individual developers) +Team tier ($1200/month): Private repos, team analytics, priority support for commercial parachain teams +Enterprise: Custom deployments, SSO, SLAs for larger organizations + +However, we're committed to keeping the core Polkadot ecosystem deployment accessible. Educational institutions, open-source projects, and individual developers will continue to have free access beyond the first year. + +**Growth strategy**: + +Start with parachain DevRel teams (they feel this pain most) +Expand to core protocol contributors +Partner with Polkadot educational programs (Polkadot Blockchain Academy, etc.) +Build corpus of "best practices" that compound as more teams use it +Open source the Substrate parser and some core components to drive adoption + +**Free Access Period (Months 1-12)** +During the 12-month grant period, the Polkadot deployment will be completely free for the entire ecosystem. This includes: + +- All parachain teams (commercial and non-commercial) +- Individual developers +- Core protocol contributors +- Community members +- Educational institutions +- General Public + +Full feature access at no cost: + +- Private repository integration +- Analytics dashboard +- Priority support +- All Substrate-specific features +- Unlimited queries + +**Transition to Sustainable Model (Month 13 onwards)** +**Starting Month 13 (after grant completion)**, we'll introduce a tiered pricing model: +**Free Tier (Always Free)**: + +- Public repositories and ecosystem documentation +- Community forum integration +- Basic analytics +- For: Individual developers, students, open-source projects +- Total 10 million tokens per month + +**Team Tier ($1,500/month)**: + +- Private repository integration +- Team analytics and insights +- Priority support +- Advanced features +- For: Commercial parachain teams and startups +- Total 200 million tokens per month + + +**Team's long-term vision:** +We believe every ecosystem needs a unified context layer. Polkadot is perfect because of its technical depth and the challenge of understanding how everything connects. If we nail this, we prove the model works for any complex technical ecosystem. Long term, we want Bytebell to be infrastructure—the layer that makes organizational knowledge queryable, verifiable, and useful for both humans and AI agents. + +## Additional Information :heavy_plus_sign: + +**How did you hear about the Grants Program?** +Through the Polkadot ecosystem. I've been following Substrate development for years and have seen grant announcements on the forum. + +**Additional context:** + +We've already invested 8 months building Bytebell and have paying customers. This grant isn't about proving the concept—it's about making Bytebell work specifically for Polkadot's unique needs. The Substrate-specific features we're building (pallet awareness, runtime version tracking, on-chain context) wouldn't make sense for our Ethereum or ZK customers, but they're critical for Polkadot. + +We're also committed to giving back to the ecosystem. Parts of our Substrate parser and the MCP server will be open sourced so other tools can build on them. + +**Why we're a good bet:** +- We've already shipped a working product (not vaporware) +- We have paying customers proving people want this +- We've built in Web3 infrastructure before (Polygon, Biconomy) +- We're realistic about timelines and scope +- We know how to take brittle systems to production scale + +**What we need:** +Funding to focus on Polkadot integration for 3 months. We'll continue maintaining our existing customer deployments, but this grant lets us dedicate engineering time to ecosystem-specific features that benefit everyone. + +Happy to answer any questions or do a live demo of the current system. Just reach out to saurav@bytebell.ai. +``` From dee9819b9c310e1fc65d1dda0c646b1baf91e25b Mon Sep 17 00:00:00 2001 From: deus_machinea Date: Sat, 18 Oct 2025 03:58:17 +0530 Subject: [PATCH 2/5] File in applications folder --- applications/bytebell.md | 470 +++++++++++++++++++++++++++++++++++++++ 1 file changed, 470 insertions(+) create mode 100644 applications/bytebell.md diff --git a/applications/bytebell.md b/applications/bytebell.md new file mode 100644 index 00000000000..d44112db541 --- /dev/null +++ b/applications/bytebell.md @@ -0,0 +1,470 @@ +# Bytebell - Context Copilot for Polkadot Ecosystem + +- **Team Name:** Bytebell AI Private Limited +- **Payment Details:** + - **DOT**: 1NY6JBh7KqtWiFVC11fZhoyTH8vEXoJFJRiBFBWoh6kj7GP + +- **Level:** 2 + +# Bytebell - Developer Copilot for Polkadot Ecosystem + +## Project Overview :page_facing_up: + +### Overview + +**Tagline:** Unified context for the entire Polkadot stack—code, governance, and community, with receipts. + +Bytebell is a developer copilot that prevents technical knowledge from scattering across your organization. We're building Polkadot ecosystem support so developers can query across substrate codebases, parachain documentation, governance discussions, and technical specifications—all in one place, with every answer tied to exact file, line, branch, and release. + +Right now, Polkadot developers waste hours digging through substrate repos, parachain docs, and forum threads trying to piece together how things actually work. A runtime upgrade discussion lives in a governance post. The actual implementation is spread across three repos. Best practices exist only in someone's head or a Discord thread from six months ago. New parachain teams spend weeks just trying to understand the context they need. + +We're interested in this because we've felt this pain building in the Web3 space. I spent years at Polygon and Biconomy dealing with fragmented infrastructure knowledge. Every new engineer took months to get productive because context was everywhere and nowhere. We built Bytebell to solve this—and Polkadot's technical depth makes it the perfect ecosystem to prove the value of unified, verifiable context. + +### Project Details + +**What we're building:** + +A Polkadot-native deployment of Bytebell that ingests: +- Substrate core repos and pallets +- Parachain codebases (Moonbeam, Astar, Acala, etc.) +- Polkadot Forum discussions and governance proposals +- Technical RFCs and specification documents +- Key ecosystem documentation sites + +**Core features:** +- Version-aware context graph linking code to discussions to specs +- Multi-agent retrieval that searches across all sources in parallel +- Receipt-based answers (file path, line number, commit hash, discussion link) +- Permission-aware access (respects private repos for teams) +- Works via web interface, MCP client, and coming soon - IDE plugins + +**Technology stack:** +- VoltAgent framework (our multi-agent orchestration system) +- Vector embeddings for semantic search +- Graph database for relationship mapping +- SLMs and LLMs +- Permission inheritance from GitHub/GitLab + +**What we already have:** +- Working product serving other ecosystems (ZK, Ethereum, SEI) +- 5 paying customers at $1200/month +- Proven ingestion pipeline for code, docs, PDFs, and discussions +- Multi-agent architecture that reduces hallucinations to near zero + +**What we're NOT building:** +- A blockchain indexer (we query existing infrastructure) +- A code review tool or CI/CD system +- A general chatbot (we only answer with verified sources) +- Token-gated features or tokenomics + +**Prior work:** +- Live deployment: https://zk.bytebell.ai (try it with ZK rollup questions) +- GitHub: https://github.com/ByteBell + +### Ecosystem Fit + +**Where we fit:** +Bytebell sits between developers and the fragmented Polkadot knowledge base. We're infrastructure for knowledge access—making the entire ecosystem's technical context queryable and verifiable. + +**Target audience:** +- Parachain development teams building on Substrate +- New developers onboarding to Polkadot +- DevRel teams at parachains and ecosystem projects +- Core protocol contributors navigating complex codebases +- Governance participants researching technical proposals + +**Needs we meet:** +1. **Faster onboarding** - New devs can ask questions and get cited answers instead of spending weeks reading docs +2. **Cross-repo context** - Understanding how pallets interact across different parachains +3. **Governance clarity** - Linking proposals to actual implementation and discussion history +4. **Reduced knowledge silos** - When experienced devs leave, their knowledge stays accessible +5. **Better technical decisions** - Complete context from code, specs, and community discussions + +**Evidence of need:** +We've spoken to 30+ teams in Web3. The pattern is consistent: +- Web3 learning curve is notoriously steep (forum discussions full of "where do I even start") +- Onboarding developers repeatedly ask the same questions across multiple channels +- Every parachain maintains its own partial documentation, none comprehensive +- Senior devs spend 15-20% of time answering repeated questions +- Onboarding new engineers takes 3-6 months before first meaningful PR + +Specific data points: +- Polkadot Forum has thousands of discussions with valuable context scattered across threads +- Substrate documentation site gets 50K+ visits monthly but conversion to actual developers is low +- Multiple teams have told us "if we could search all our context at once, we'd save days per sprint" + +**Similar projects in ecosystem:** +Not really. There are general AI coding assistants (Cursor, GitHub Copilot) but they: +- Work on single repos, not cross-ecosystem context +- Don't understand Substrate-specific patterns +- Hallucinate frequently because they lack version awareness +- Can't connect governance discussions to actual code + +Polkadot has great documentation sites (docs.substrate.io, wiki.polkadot.network) but they're: +- Static and hard to search across +- Disconnected from actual code implementations +- Don't capture community knowledge from forums/discussions +- No way to filter by runtime version or specific parachain + +**Similar projects in other ecosystems:** +We're aware of some documentation aggregators and AI coding tools, but none combine: +- Version-aware knowledge graphs +- Receipt-based verification (refuse to answer without proof) +- Cross-source context (code + docs + discussions) +- On-chain state awareness +- Permission governance + +The closest might be Mintlify or Gitbook for docs, but they don't handle code repositories or community discussions, and they don't provide the graph structure that makes context compound over time. + +## Team :busts_in_silhouette: + +### Team members + +- Saurav Verma (Co-Founder & CEO) [https://github.com/deusmachinea] +- CJ (Co-founder, Head of Engineering) [https://github.com/dev-cj] +- Nitesh (Team) [https://github.com/nitesh32] +- Lovanshu (Team) [https://github.com/bharatsachya] +- Sharvit (Team) [https://github.com/sharvitKashikar] +- Kavish (Team) [https://github.com/dranzer-17] + +### Contact + +- **Contact Name:** Saurav Verma +- **Contact Email:** saurav@bytebell.ai +- **Linkedin:** https://www.linkedin.com/in/saurav1verma/ + +### Legal Structure + +- **Registered Address:** New Delhi, India + +### Team's experience + +**Saurav Verma:** +- IIT Delhi, Class of 2008 +- VP Engineering at Polygon (handling millions of daily transactions) +- Built scalability systems at Biconomy (10M+ requests/day) +- Worked with Government of India launching 10+ digital projects +- Previous startup exit in 2012 +- 15+ years shipping production systems at scale + +**CJ:** +- 8+ years in ML and blockchain infrastructure +- Built production systems handling high-frequency trading data +- Previous work on AI agent frameworks +- Deep experience with vector databases and semantic search + +Together we've built multiple projects (QCI, ama.fans, Uniping) and have learned the hard way what users actually pay for versus what's just interesting tech. We're past the "build cool things" phase—we're focused on solving real problems that teams will pay to fix. + +We haven't applied for W3F grants previously, but we've been in the Polkadot ecosystem for years. I've debugged Substrate nodes, helped teams with runtime upgrades, and spent enough time in the forums to know where the pain points are. + +### Team Code Repos + +- https://github.com/ByteBell + +Note: Some of our core infrastructure is currently private as we're in active development with paying customers. We'll open source relevant components as part of this grant. + +### Team LinkedIn Profiles + +- https://www.linkedin.com/in/saurav1verma/ (Saurav) +- https://www.linkedin.com/in/chaitanyajatoliya/ (Chaitanya) + +## Development Status :open_book: + +We've already built the core Bytebell platform and have it running in production for other ecosystems: + +**Live deployments:** +- ZK Ecosystem: https://zk.bytebell.ai +- Ethereum Ecosystem: https://ethereum.bytebell.ai + +**Current status:** +- 5 paying customers at $1500/month +- 13 completed or active pilots +- Hundreds of queries processed weekly +- v2.0 shipped, moving to v3.0 + +**Relevant prior research:** +- We've analyzed context window limitations in LLMs: https://nrehiew.github.io/blog/long_context/ ad context rot +- Built multi-agent systems for reducing hallucinations +- Developed version-aware ingestion for multiple git hosting platforms +- Created permission inheritance from identity providers + +**Why this grant:** +We want to build Polkadot-specific features that make sense for the ecosystem but wouldn't be covered by our standard subscription model: +- Substrate pallet-aware parsing +- Polkadot Forum and governance integration +- Parachain-specific best practices corpus + + +## Development Roadmap :nut_and_bolt: + +### Overview + +- **Total Estimated Duration:** 3 months + 9 months maintenance +- ** Average Full-Time Equivalent (FTE): 1.5 FTE +- **Total Costs:** 30,000 DAI +- **DOT %:** 0% (requesting full payment in DAI) + +### Milestone 1 — Substrate Parser & Ecosystem Documentation Integration + +- **Estimated duration:** 1 month +- **FTE:** 2.5 +- **Costs:** 15,000 DAI + +**User Stories:** +- "How do I configure a custom pallet in my Substrate runtime?" +- "Show me examples of pallets that implement the on_initialize hook" +- "What's the difference between StorageMap and StorageDoubleMap and when should I use each?" +- "How do I add the Balances pallet to my runtime and configure it?" +- "What pallets does Moonbeam use for EVM compatibility?" + +**Deliverables:** + +| Number | Deliverable | Specification | +| -----: | ----------- | ------------- | +| **0a.** | License | Apache 2.0 | +| **0b.** | Documentation | Complete setup guide for integrating Bytebell's embeddable component into documentation sites. Tutorial showing how to query across Substrate pallets with source citations. | +| **0c.** | Testing Guide | Unit tests for: Substrate project parsing, pallet dependency extraction, runtime configuration tracking, FRAME macro recognition. Guide covers local testing procedures and validation steps. | +| **0d.** | Article | Technical writeup on parsing Substrate's architecture and maintaining version-accurate context across runtime upgrades. Audience: Polkadot SDK developers. | +| 1. | Substrate-Aware Ingestion Engine | Custom parser understanding Substrate project structure: pallet organization, runtime configs, FRAME patterns, trait implementations. Extracts relationships between pallets, maps dispatchable calls to implementations, tracks storage items and hooks. | +| 2. | Extended Documentation Corpus | Index comprehensive Polkadot ecosystem resources: Polkadot Wiki, docs.polkadot.com, Substrate documentation, parachain-specific guides (Moonbeam, Astar, Acala, HydraDX, Phala), technical RFCs, and community tutorials. Total: 100+ documents with receipts to exact sections. | +| 3. | Embeddable Query Widget | JavaScript component for documentation sites with sub-2 second response times. Features: receipt-backed answers, source highlighting, configurable styling, mobile responsive. Handles 20+ concurrent users without performance degradation. | +| 4. | Content Management Dashboard | Admin panel for documentation maintainers: add/update/remove indexed sources, trigger re-indexing of specific repositories, monitor indexing status, view citation accuracy metrics. New resources indexed within 10 minutes of submission. | + +**Acceptance Criteria:** +- Widget successfully embedded on Polkadot documentation sites with <2s initial load +- Admin dashboard enables content updates with re-indexing completed in <10 minutes +- Extended corpus covers 100+ documents with ≥99% citation accuracy rate +- System maintains performance with 20+ simultaneous users querying different topics + +--- + +### Milestone 2 — Runtime Version Tracking & Developer Workflow Integration + +- **Estimated duration:** 1 month +- **FTE:** 2 +- **Costs:** 7,000 DAI + +**User Stories:** +- "What changed in the Staking pallet between runtime 9430 and 9340?" +- "How does nomination pool work in the latest Polkadot runtime version?" +- "Show me all the code changes related to OpenGov in the last 3 months" +- "Which runtime version introduced XCM v3 and what breaking changes did it include?" +- "How do I upgrade my parachain runtime without a hard fork?" + +**Deliverables:** + +| Number | Deliverable | Specification | +| -----: | ----------- | ------------- | +| **0a.** | License | Apache 2.0 | +| **0b.** | Documentation | Guide for setting up MCP client integration with popular development environments. Documentation on querying by runtime version, filtering by block ranges, and interpreting on-chain context in answers. Tutorial on automated documentation workflows. | +| **0c.** | Testing Guide | Integration tests for: RPC node connectivity, runtime version extraction, block/extrinsic lookups, automated documentation regeneration workflows, real-time GitHub sync. Tests verify correct version binding in citations. | +| **0d.** | Article | Case study showing how runtime version awareness prevents outdated answers, with examples of queries that span multiple Polkadot runtime upgrades. Technical audience. | +| 1. | Model Context Protocol Server | MCP-compliant server for Polkadot ecosystem queries. Integrates with Claude Desktop, Cursor IDE, and other MCP-compatible tools. Responds to queries within 3 seconds. Auto-detects Substrate code contexts and provides relevant parachain-specific information. | +| 2. | Runtime Version Intelligence | Track runtime versions from on-chain data via RPC integration. Map code changes to specific runtime upgrades. Answer queries like "how did staking work in runtime 9430" or "what changed between runtime 1002000 and 1002001". Include runtime version, block height, and upgrade proposal references in citations. | +| 3. | Real-Time Repository Ingestion | Continuous GitHub ingestion pipeline for Polkadot core repos, Substrate, Cumulus, and major parachains. Incremental indexing updates within 5 minutes of new commits, PRs, or issues. Support for querying specific branches, commit ranges, and PR diffs. Integration with GitHub API for metadata (authors, timestamps, linked issues, review comments). | +| 4. | Automated Documentation Pipeline | GitHub Actions workflows triggering on pushes to monitored branches (main, develop, release/*). Auto-regenerate API references, code examples, and integration guides when underlying code changes. Webhook-based triggers for real-time updates. Documentation generated within 15 minutes of commit. | +| 5. | Governance Proposals | When answering questions about protocol functionality, include: links to governance proposals that enacted changes. Example citation: "Nomination pools introduced in runtime 9340 (block 13,654,321, Referendum 241)". | + +**Acceptance Criteria:** +- MCP server integrates successfully with Cursor and Claude Desktop, <3s query response time +- Automated documentation generation completes within 15 minutes of code commits to tracked branches +- Generated docs include tested code examples validated against current codebase version +- Webhook triggers fire successfully for ≥95% of qualifying commits +- Runtime version tracking accurately identifies behavior changes across 10+ major upgrades +- New commits indexed and queryable within 5 minutes of repository push +- Bytebell accurately answers questions about PRs merged in the last 48 hours +- System processes 100+ repository updates daily without indexing queue buildup + +--- + +### Milestone 3 — Analytics Dashboard & User Insights + +- **Estimated duration:** 1 month +- **FTE:** 0.5 +- **Costs:** 4,000 DAI + +**User Stories:** + +- "As a DevRel manager, I want to see which topics developers ask about most frequently so I can prioritize documentation improvements for high-impact areas." +- "As a Polkadot ecosystem lead, I want real-time analytics showing query patterns as they happen so I can respond quickly to emerging developer confusion or breaking changes." +- "As a grants committee member, I want to filter queries by parachain, time period, and topic so I can understand which parts of the ecosystem need more developer support." +- "As a technical writer, I want to identify documentation gaps where developers consistently ask questions without finding good answers so I know which guides to create next." +- "As a community manager, I want to see geographic distribution of queries so I can plan regional developer workshops and focus outreach efforts where engagement is highest." +- "As a core contributor, I want to export detailed query data including timestamps, topics, and citation rates so I can analyze developer behavior patterns for research purposes." +- "As a developer advocate, I want to log in with my GitHub account to access personalized analytics and track queries from developers in my region or working on specific parachains." +- "As a product manager, I want to compare query acceptance rates and satisfaction scores across different documentation sections so I can measure content quality objectively." +- "As an ecosystem researcher, I want to identify trending questions that spike suddenly so I can detect when runtime upgrades or protocol changes are causing developer friction." +- "As a parachain maintainer, I want to see which queries about my parachain remain unanswered so I can improve our documentation and support materials." + +**Deliverables:** + +| Number | Deliverable | Specification | +| -----: | ----------- | ------------- | +| **0a.** | License | Apache 2.0 | +| **0b.** | Documentation | Analytics dashboard user guide covering all metrics, filters, and export options. Privacy policy documentation for user tracking and data retention. | +| **0c.** | Testing Guide | Performance tests for dashboard under load (10,000+ queries). Tests for authentication flows, data export functionality, and real-time updates. Privacy control validation. | +| **0d.** | Article | Insights report analyzing first 30 days of query patterns: top topics, knowledge gaps identified, geographic distribution, citation effectiveness. Recommendations for documentation improvements. | +| 1. | Comprehensive Analytics Platform | Dashboard displaying: query volume and trends over time, topic clustering and frequency analysis, geographic user distribution (based on timezone/IP), session metrics (duration, queries per session, return rates), most frequently asked questions, unanswered query patterns, citation click-through rates, answer acceptance and feedback scores, parachain-specific query breakdowns. Real-time updates with configurable date ranges and cohort filters. | +| 2. | User Authentication System | Optional login via GitHub OAuth and email/password. Anonymous usage tracking with privacy controls. Authenticated users can save query history and preferences. <5 second authentication flow. Compliant with GDPR and data privacy regulations. | +| 3. | Knowledge Gap Intelligence | Automated identification of: top 30 most-asked questions, queries with low citation rates (potential documentation gaps), topics with high search volume but limited indexed content, trending questions (spike detection), comparative analysis across parachains and protocol features. | +| 4. | Exportable Reporting | Generate reports in CSV and JSON formats including: complete query logs with timestamps, citation sources and click-through data, user engagement metrics and session data, topic clusters and frequency counts, geographic distribution summaries. Reports generated on-demand or scheduled automatically. | + +**Acceptance Criteria:** +- Analytics dashboard processes 15,000+ queries with <3s load time for any view +- Top 30 most-asked questions identified automatically with ≥90% accuracy +- GitHub OAuth authentication completes in <5 seconds with proper error handling +- Geographic analytics show user distribution across ≥20 countries during pilot +- Exportable reports include all specified metrics with granular filtering options +- Dashboard identifies ≥10 clear documentation gaps based on query patterns +- Real-time updates reflect new queries within 30 seconds + +--- + +### Milestone 4 — Maintenance & Ecosystem Impact Assessment + +- **Estimated duration:** 9 months +- **FTE:** 0.5 +- **Costs:** 4,000 DAI + +**User Stories:** +- "As ecosystem leadership, I want a comprehensive impact report demonstrating ROI and developer satisfaction to justify continued investment." +- "As a potential adopter in another ecosystem, I want quantified benefits and case studies to evaluate Bytebell for our project." +- "As the grants committee, I want evidence of developer adoption, usage patterns, and measurable outcomes to assess project success." + +**Deliverables:** + +| Number | Deliverable | Specification | +| -----: | ----------- | ------------- | +| **0a.** | License | Apache 2.0 | +| **0b.** | Documentation | Complete operational guide for Polkadot ecosystem teams to manage Bytebell independently. Includes: infrastructure requirements, scaling guidelines, maintenance procedures, troubleshooting workflows, cost projections. | +| **0c.** | TTesting Guide | Stress tests demonstrating system stability under production load. Uptime monitoring validation. Performance benchmarks for various query types and load scenarios. | +| **0d.** | Article | Public impact report with key findings, case studies, and future roadmap. Additional internal comprehensive report for W3F with detailed metrics, cost analysis, and sustainability recommendations. | +| 1. | Complete Impact Assessment | Report including: total queries processed, unique active users, query resolution rate and accuracy, average time-to-answer vs traditional support channels (forum posts), documentation gap analysis with prioritized recommendations, developer satisfaction survey results (NPS, CSAT scores), time-to-first-contribution metrics for new developers, support ticket deflection rates for covered topics. Includes 3-4 detailed case studies of parachain teams or individual developers showing concrete onboarding acceleration and productivity improvements. | +| 2. | Production-Ready System | Polkadot.bytebell.ai deployed with 99.5% uptime over final 9 months. Production monitoring, logging, and alerting infrastructure. Automated backup and disaster recovery procedures. Load balancing supporting 100+ concurrent users. Performance optimizations ensuring <4s p95 latency for complex queries. | +| 3. | Sustainability Plan | Detailed document covering: projected infrastructure costs at various usage scales (100, 500, 1000+ daily active users), recommended maintenance schedule and staffing requirements, monitoring and alerting best practices, suggested update cadence for indexed content, cost reduction strategies and optimization opportunities, path to community-managed operations. | +| 4. | Knowledge Transfer Package | Complete handoff materials enabling Polkadot ecosystem teams to operate independently: administrative guides and operational runbooks, troubleshooting documentation and FAQ, training session recordings for key personnel, direct support channel for first 90 days post-delivery, open-sourced components (Substrate parser, MCP server) with contribution guidelines. | + +**Acceptance Criteria:** +- System successfully handled ≥30,000 total queries with ≥92% citation accuracy rate +- Average query resolution time <4s (p95 latency) for production traffic +- Documented case studies show median time-to-first-PR for new contributors reduced by ≥25% +- Developer satisfaction survey shows ≥75% would recommend Bytebell to other Polkadot developers +- System maintained 99.5% uptime during final 3-month period +- Support ticket volume for indexed topics reduced by ≥35% in participating teams +- Complete documentation enables ecosystem teams to maintain and operate Bytebell independently +- Sustainability plan includes realistic cost projections validated against actual usage data +- Geographic reach spans ≥25 countries based on query analytics +- Knowledge transfer completed with at least 2 ecosystem team members trained + +**What "Maintenance + Automatic Feature Rollout" Means**: +During these 9 months, the Bytebell team will: + +- Monitor system performance and uptime (99.5%+ target) +- Respond to bug reports and technical issues +- **Automatically deploy new features developed for our core platform, including**: + +- **Team context features**: Workspace-specific knowledge graphs, team permission management +- **Enhanced user histories**: Personalized query history, learning patterns, context carryover between sessions +- **Custom-trained models**: Polkadot/Substrate-specific fine-tuned models for improved accuracy +- **Advanced retrieval techniques**: As we improve our RAG pipeline, Polkadot deployment benefits automatically +Any other product improvements shipped to our production platform + +**Community Engagement Requirements**: + +- Active Telegram group maintained with Polkadot core developers, parachain teams, and community members +- Weekly engagement summary reports +- Monthly community calls to review feedback and discuss upcoming features +- Quarterly developer satisfaction surveys +- Direct channel for urgent issues and feature requests +--- + +## Future Plans + +**Short term (3-6 months post-grant):** +- Gather feedback and iterate on Substrate-specific features +- Ship IDE plugins (VS Code, IntelliJ) with Polkadot-aware features +- Present at Sub0 or Polkadot Decoded to drive adoption + +**Long-term maintenance:** + +We're building Bytebell as a sustainable SaaS business. During the 12-month grant period, the Polkadot deployment will be completely free for the entire ecosystem. During this period, all parachain teams, individual developers, core contributors, and community members will have unrestricted access to the full feature set—including private repo integration, analytics, and priority support—at no cost. +After the initial grant-funded year, we'll transition to a sustainable model: + +Free tier: Public repos and ecosystem docs (always free for individual developers) +Team tier ($1200/month): Private repos, team analytics, priority support for commercial parachain teams +Enterprise: Custom deployments, SSO, SLAs for larger organizations + +However, we're committed to keeping the core Polkadot ecosystem deployment accessible. Educational institutions, open-source projects, and individual developers will continue to have free access beyond the first year. + +**Growth strategy**: + +Start with parachain DevRel teams (they feel this pain most) +Expand to core protocol contributors +Partner with Polkadot educational programs (Polkadot Blockchain Academy, etc.) +Build corpus of "best practices" that compound as more teams use it +Open source the Substrate parser and some core components to drive adoption + +**Free Access Period (Months 1-12)** +During the 12-month grant period, the Polkadot deployment will be completely free for the entire ecosystem. This includes: + +- All parachain teams (commercial and non-commercial) +- Individual developers +- Core protocol contributors +- Community members +- Educational institutions +- General Public + +Full feature access at no cost: + +- Private repository integration +- Analytics dashboard +- Priority support +- All Substrate-specific features +- Unlimited queries + +**Transition to Sustainable Model (Month 13 onwards)** +**Starting Month 13 (after grant completion)**, we'll introduce a tiered pricing model: +**Free Tier (Always Free)**: + +- Public repositories and ecosystem documentation +- Community forum integration +- Basic analytics +- For: Individual developers, students, open-source projects +- Total 10 million tokens per month + +**Team Tier ($1,500/month)**: + +- Private repository integration +- Team analytics and insights +- Priority support +- Advanced features +- For: Commercial parachain teams and startups +- Total 200 million tokens per month + + +**Team's long-term vision:** +We believe every ecosystem needs a unified context layer. Polkadot is perfect because of its technical depth and the challenge of understanding how everything connects. If we nail this, we prove the model works for any complex technical ecosystem. Long term, we want Bytebell to be infrastructure—the layer that makes organizational knowledge queryable, verifiable, and useful for both humans and AI agents. + +## Additional Information :heavy_plus_sign: + +**How did you hear about the Grants Program?** +Through the Polkadot ecosystem. I've been following Substrate development for years and have seen grant announcements on the forum. + +**Additional context:** + +We've already invested 8 months building Bytebell and have paying customers. This grant isn't about proving the concept—it's about making Bytebell work specifically for Polkadot's unique needs. The Substrate-specific features we're building (pallet awareness, runtime version tracking, on-chain context) wouldn't make sense for our Ethereum or ZK customers, but they're critical for Polkadot. + +We're also committed to giving back to the ecosystem. Parts of our Substrate parser and the MCP server will be open sourced so other tools can build on them. + +**Why we're a good bet:** +- We've already shipped a working product (not vaporware) +- We have paying customers proving people want this +- We've built in Web3 infrastructure before (Polygon, Biconomy) +- We're realistic about timelines and scope +- We know how to take brittle systems to production scale + +**What we need:** +Funding to focus on Polkadot integration for 3 months. We'll continue maintaining our existing customer deployments, but this grant lets us dedicate engineering time to ecosystem-specific features that benefit everyone. + +Happy to answer any questions or do a live demo of the current system. Just reach out to saurav@bytebell.ai. +``` From 7b839dbc90348b7ebfbbb02086ab5abbff1bab49 Mon Sep 17 00:00:00 2001 From: deus_machinea Date: Sat, 18 Oct 2025 03:58:59 +0530 Subject: [PATCH 3/5] Delete bytebell.ai --- bytebell.ai | 470 ---------------------------------------------------- 1 file changed, 470 deletions(-) delete mode 100644 bytebell.ai diff --git a/bytebell.ai b/bytebell.ai deleted file mode 100644 index d44112db541..00000000000 --- a/bytebell.ai +++ /dev/null @@ -1,470 +0,0 @@ -# Bytebell - Context Copilot for Polkadot Ecosystem - -- **Team Name:** Bytebell AI Private Limited -- **Payment Details:** - - **DOT**: 1NY6JBh7KqtWiFVC11fZhoyTH8vEXoJFJRiBFBWoh6kj7GP - -- **Level:** 2 - -# Bytebell - Developer Copilot for Polkadot Ecosystem - -## Project Overview :page_facing_up: - -### Overview - -**Tagline:** Unified context for the entire Polkadot stack—code, governance, and community, with receipts. - -Bytebell is a developer copilot that prevents technical knowledge from scattering across your organization. We're building Polkadot ecosystem support so developers can query across substrate codebases, parachain documentation, governance discussions, and technical specifications—all in one place, with every answer tied to exact file, line, branch, and release. - -Right now, Polkadot developers waste hours digging through substrate repos, parachain docs, and forum threads trying to piece together how things actually work. A runtime upgrade discussion lives in a governance post. The actual implementation is spread across three repos. Best practices exist only in someone's head or a Discord thread from six months ago. New parachain teams spend weeks just trying to understand the context they need. - -We're interested in this because we've felt this pain building in the Web3 space. I spent years at Polygon and Biconomy dealing with fragmented infrastructure knowledge. Every new engineer took months to get productive because context was everywhere and nowhere. We built Bytebell to solve this—and Polkadot's technical depth makes it the perfect ecosystem to prove the value of unified, verifiable context. - -### Project Details - -**What we're building:** - -A Polkadot-native deployment of Bytebell that ingests: -- Substrate core repos and pallets -- Parachain codebases (Moonbeam, Astar, Acala, etc.) -- Polkadot Forum discussions and governance proposals -- Technical RFCs and specification documents -- Key ecosystem documentation sites - -**Core features:** -- Version-aware context graph linking code to discussions to specs -- Multi-agent retrieval that searches across all sources in parallel -- Receipt-based answers (file path, line number, commit hash, discussion link) -- Permission-aware access (respects private repos for teams) -- Works via web interface, MCP client, and coming soon - IDE plugins - -**Technology stack:** -- VoltAgent framework (our multi-agent orchestration system) -- Vector embeddings for semantic search -- Graph database for relationship mapping -- SLMs and LLMs -- Permission inheritance from GitHub/GitLab - -**What we already have:** -- Working product serving other ecosystems (ZK, Ethereum, SEI) -- 5 paying customers at $1200/month -- Proven ingestion pipeline for code, docs, PDFs, and discussions -- Multi-agent architecture that reduces hallucinations to near zero - -**What we're NOT building:** -- A blockchain indexer (we query existing infrastructure) -- A code review tool or CI/CD system -- A general chatbot (we only answer with verified sources) -- Token-gated features or tokenomics - -**Prior work:** -- Live deployment: https://zk.bytebell.ai (try it with ZK rollup questions) -- GitHub: https://github.com/ByteBell - -### Ecosystem Fit - -**Where we fit:** -Bytebell sits between developers and the fragmented Polkadot knowledge base. We're infrastructure for knowledge access—making the entire ecosystem's technical context queryable and verifiable. - -**Target audience:** -- Parachain development teams building on Substrate -- New developers onboarding to Polkadot -- DevRel teams at parachains and ecosystem projects -- Core protocol contributors navigating complex codebases -- Governance participants researching technical proposals - -**Needs we meet:** -1. **Faster onboarding** - New devs can ask questions and get cited answers instead of spending weeks reading docs -2. **Cross-repo context** - Understanding how pallets interact across different parachains -3. **Governance clarity** - Linking proposals to actual implementation and discussion history -4. **Reduced knowledge silos** - When experienced devs leave, their knowledge stays accessible -5. **Better technical decisions** - Complete context from code, specs, and community discussions - -**Evidence of need:** -We've spoken to 30+ teams in Web3. The pattern is consistent: -- Web3 learning curve is notoriously steep (forum discussions full of "where do I even start") -- Onboarding developers repeatedly ask the same questions across multiple channels -- Every parachain maintains its own partial documentation, none comprehensive -- Senior devs spend 15-20% of time answering repeated questions -- Onboarding new engineers takes 3-6 months before first meaningful PR - -Specific data points: -- Polkadot Forum has thousands of discussions with valuable context scattered across threads -- Substrate documentation site gets 50K+ visits monthly but conversion to actual developers is low -- Multiple teams have told us "if we could search all our context at once, we'd save days per sprint" - -**Similar projects in ecosystem:** -Not really. There are general AI coding assistants (Cursor, GitHub Copilot) but they: -- Work on single repos, not cross-ecosystem context -- Don't understand Substrate-specific patterns -- Hallucinate frequently because they lack version awareness -- Can't connect governance discussions to actual code - -Polkadot has great documentation sites (docs.substrate.io, wiki.polkadot.network) but they're: -- Static and hard to search across -- Disconnected from actual code implementations -- Don't capture community knowledge from forums/discussions -- No way to filter by runtime version or specific parachain - -**Similar projects in other ecosystems:** -We're aware of some documentation aggregators and AI coding tools, but none combine: -- Version-aware knowledge graphs -- Receipt-based verification (refuse to answer without proof) -- Cross-source context (code + docs + discussions) -- On-chain state awareness -- Permission governance - -The closest might be Mintlify or Gitbook for docs, but they don't handle code repositories or community discussions, and they don't provide the graph structure that makes context compound over time. - -## Team :busts_in_silhouette: - -### Team members - -- Saurav Verma (Co-Founder & CEO) [https://github.com/deusmachinea] -- CJ (Co-founder, Head of Engineering) [https://github.com/dev-cj] -- Nitesh (Team) [https://github.com/nitesh32] -- Lovanshu (Team) [https://github.com/bharatsachya] -- Sharvit (Team) [https://github.com/sharvitKashikar] -- Kavish (Team) [https://github.com/dranzer-17] - -### Contact - -- **Contact Name:** Saurav Verma -- **Contact Email:** saurav@bytebell.ai -- **Linkedin:** https://www.linkedin.com/in/saurav1verma/ - -### Legal Structure - -- **Registered Address:** New Delhi, India - -### Team's experience - -**Saurav Verma:** -- IIT Delhi, Class of 2008 -- VP Engineering at Polygon (handling millions of daily transactions) -- Built scalability systems at Biconomy (10M+ requests/day) -- Worked with Government of India launching 10+ digital projects -- Previous startup exit in 2012 -- 15+ years shipping production systems at scale - -**CJ:** -- 8+ years in ML and blockchain infrastructure -- Built production systems handling high-frequency trading data -- Previous work on AI agent frameworks -- Deep experience with vector databases and semantic search - -Together we've built multiple projects (QCI, ama.fans, Uniping) and have learned the hard way what users actually pay for versus what's just interesting tech. We're past the "build cool things" phase—we're focused on solving real problems that teams will pay to fix. - -We haven't applied for W3F grants previously, but we've been in the Polkadot ecosystem for years. I've debugged Substrate nodes, helped teams with runtime upgrades, and spent enough time in the forums to know where the pain points are. - -### Team Code Repos - -- https://github.com/ByteBell - -Note: Some of our core infrastructure is currently private as we're in active development with paying customers. We'll open source relevant components as part of this grant. - -### Team LinkedIn Profiles - -- https://www.linkedin.com/in/saurav1verma/ (Saurav) -- https://www.linkedin.com/in/chaitanyajatoliya/ (Chaitanya) - -## Development Status :open_book: - -We've already built the core Bytebell platform and have it running in production for other ecosystems: - -**Live deployments:** -- ZK Ecosystem: https://zk.bytebell.ai -- Ethereum Ecosystem: https://ethereum.bytebell.ai - -**Current status:** -- 5 paying customers at $1500/month -- 13 completed or active pilots -- Hundreds of queries processed weekly -- v2.0 shipped, moving to v3.0 - -**Relevant prior research:** -- We've analyzed context window limitations in LLMs: https://nrehiew.github.io/blog/long_context/ ad context rot -- Built multi-agent systems for reducing hallucinations -- Developed version-aware ingestion for multiple git hosting platforms -- Created permission inheritance from identity providers - -**Why this grant:** -We want to build Polkadot-specific features that make sense for the ecosystem but wouldn't be covered by our standard subscription model: -- Substrate pallet-aware parsing -- Polkadot Forum and governance integration -- Parachain-specific best practices corpus - - -## Development Roadmap :nut_and_bolt: - -### Overview - -- **Total Estimated Duration:** 3 months + 9 months maintenance -- ** Average Full-Time Equivalent (FTE): 1.5 FTE -- **Total Costs:** 30,000 DAI -- **DOT %:** 0% (requesting full payment in DAI) - -### Milestone 1 — Substrate Parser & Ecosystem Documentation Integration - -- **Estimated duration:** 1 month -- **FTE:** 2.5 -- **Costs:** 15,000 DAI - -**User Stories:** -- "How do I configure a custom pallet in my Substrate runtime?" -- "Show me examples of pallets that implement the on_initialize hook" -- "What's the difference between StorageMap and StorageDoubleMap and when should I use each?" -- "How do I add the Balances pallet to my runtime and configure it?" -- "What pallets does Moonbeam use for EVM compatibility?" - -**Deliverables:** - -| Number | Deliverable | Specification | -| -----: | ----------- | ------------- | -| **0a.** | License | Apache 2.0 | -| **0b.** | Documentation | Complete setup guide for integrating Bytebell's embeddable component into documentation sites. Tutorial showing how to query across Substrate pallets with source citations. | -| **0c.** | Testing Guide | Unit tests for: Substrate project parsing, pallet dependency extraction, runtime configuration tracking, FRAME macro recognition. Guide covers local testing procedures and validation steps. | -| **0d.** | Article | Technical writeup on parsing Substrate's architecture and maintaining version-accurate context across runtime upgrades. Audience: Polkadot SDK developers. | -| 1. | Substrate-Aware Ingestion Engine | Custom parser understanding Substrate project structure: pallet organization, runtime configs, FRAME patterns, trait implementations. Extracts relationships between pallets, maps dispatchable calls to implementations, tracks storage items and hooks. | -| 2. | Extended Documentation Corpus | Index comprehensive Polkadot ecosystem resources: Polkadot Wiki, docs.polkadot.com, Substrate documentation, parachain-specific guides (Moonbeam, Astar, Acala, HydraDX, Phala), technical RFCs, and community tutorials. Total: 100+ documents with receipts to exact sections. | -| 3. | Embeddable Query Widget | JavaScript component for documentation sites with sub-2 second response times. Features: receipt-backed answers, source highlighting, configurable styling, mobile responsive. Handles 20+ concurrent users without performance degradation. | -| 4. | Content Management Dashboard | Admin panel for documentation maintainers: add/update/remove indexed sources, trigger re-indexing of specific repositories, monitor indexing status, view citation accuracy metrics. New resources indexed within 10 minutes of submission. | - -**Acceptance Criteria:** -- Widget successfully embedded on Polkadot documentation sites with <2s initial load -- Admin dashboard enables content updates with re-indexing completed in <10 minutes -- Extended corpus covers 100+ documents with ≥99% citation accuracy rate -- System maintains performance with 20+ simultaneous users querying different topics - ---- - -### Milestone 2 — Runtime Version Tracking & Developer Workflow Integration - -- **Estimated duration:** 1 month -- **FTE:** 2 -- **Costs:** 7,000 DAI - -**User Stories:** -- "What changed in the Staking pallet between runtime 9430 and 9340?" -- "How does nomination pool work in the latest Polkadot runtime version?" -- "Show me all the code changes related to OpenGov in the last 3 months" -- "Which runtime version introduced XCM v3 and what breaking changes did it include?" -- "How do I upgrade my parachain runtime without a hard fork?" - -**Deliverables:** - -| Number | Deliverable | Specification | -| -----: | ----------- | ------------- | -| **0a.** | License | Apache 2.0 | -| **0b.** | Documentation | Guide for setting up MCP client integration with popular development environments. Documentation on querying by runtime version, filtering by block ranges, and interpreting on-chain context in answers. Tutorial on automated documentation workflows. | -| **0c.** | Testing Guide | Integration tests for: RPC node connectivity, runtime version extraction, block/extrinsic lookups, automated documentation regeneration workflows, real-time GitHub sync. Tests verify correct version binding in citations. | -| **0d.** | Article | Case study showing how runtime version awareness prevents outdated answers, with examples of queries that span multiple Polkadot runtime upgrades. Technical audience. | -| 1. | Model Context Protocol Server | MCP-compliant server for Polkadot ecosystem queries. Integrates with Claude Desktop, Cursor IDE, and other MCP-compatible tools. Responds to queries within 3 seconds. Auto-detects Substrate code contexts and provides relevant parachain-specific information. | -| 2. | Runtime Version Intelligence | Track runtime versions from on-chain data via RPC integration. Map code changes to specific runtime upgrades. Answer queries like "how did staking work in runtime 9430" or "what changed between runtime 1002000 and 1002001". Include runtime version, block height, and upgrade proposal references in citations. | -| 3. | Real-Time Repository Ingestion | Continuous GitHub ingestion pipeline for Polkadot core repos, Substrate, Cumulus, and major parachains. Incremental indexing updates within 5 minutes of new commits, PRs, or issues. Support for querying specific branches, commit ranges, and PR diffs. Integration with GitHub API for metadata (authors, timestamps, linked issues, review comments). | -| 4. | Automated Documentation Pipeline | GitHub Actions workflows triggering on pushes to monitored branches (main, develop, release/*). Auto-regenerate API references, code examples, and integration guides when underlying code changes. Webhook-based triggers for real-time updates. Documentation generated within 15 minutes of commit. | -| 5. | Governance Proposals | When answering questions about protocol functionality, include: links to governance proposals that enacted changes. Example citation: "Nomination pools introduced in runtime 9340 (block 13,654,321, Referendum 241)". | - -**Acceptance Criteria:** -- MCP server integrates successfully with Cursor and Claude Desktop, <3s query response time -- Automated documentation generation completes within 15 minutes of code commits to tracked branches -- Generated docs include tested code examples validated against current codebase version -- Webhook triggers fire successfully for ≥95% of qualifying commits -- Runtime version tracking accurately identifies behavior changes across 10+ major upgrades -- New commits indexed and queryable within 5 minutes of repository push -- Bytebell accurately answers questions about PRs merged in the last 48 hours -- System processes 100+ repository updates daily without indexing queue buildup - ---- - -### Milestone 3 — Analytics Dashboard & User Insights - -- **Estimated duration:** 1 month -- **FTE:** 0.5 -- **Costs:** 4,000 DAI - -**User Stories:** - -- "As a DevRel manager, I want to see which topics developers ask about most frequently so I can prioritize documentation improvements for high-impact areas." -- "As a Polkadot ecosystem lead, I want real-time analytics showing query patterns as they happen so I can respond quickly to emerging developer confusion or breaking changes." -- "As a grants committee member, I want to filter queries by parachain, time period, and topic so I can understand which parts of the ecosystem need more developer support." -- "As a technical writer, I want to identify documentation gaps where developers consistently ask questions without finding good answers so I know which guides to create next." -- "As a community manager, I want to see geographic distribution of queries so I can plan regional developer workshops and focus outreach efforts where engagement is highest." -- "As a core contributor, I want to export detailed query data including timestamps, topics, and citation rates so I can analyze developer behavior patterns for research purposes." -- "As a developer advocate, I want to log in with my GitHub account to access personalized analytics and track queries from developers in my region or working on specific parachains." -- "As a product manager, I want to compare query acceptance rates and satisfaction scores across different documentation sections so I can measure content quality objectively." -- "As an ecosystem researcher, I want to identify trending questions that spike suddenly so I can detect when runtime upgrades or protocol changes are causing developer friction." -- "As a parachain maintainer, I want to see which queries about my parachain remain unanswered so I can improve our documentation and support materials." - -**Deliverables:** - -| Number | Deliverable | Specification | -| -----: | ----------- | ------------- | -| **0a.** | License | Apache 2.0 | -| **0b.** | Documentation | Analytics dashboard user guide covering all metrics, filters, and export options. Privacy policy documentation for user tracking and data retention. | -| **0c.** | Testing Guide | Performance tests for dashboard under load (10,000+ queries). Tests for authentication flows, data export functionality, and real-time updates. Privacy control validation. | -| **0d.** | Article | Insights report analyzing first 30 days of query patterns: top topics, knowledge gaps identified, geographic distribution, citation effectiveness. Recommendations for documentation improvements. | -| 1. | Comprehensive Analytics Platform | Dashboard displaying: query volume and trends over time, topic clustering and frequency analysis, geographic user distribution (based on timezone/IP), session metrics (duration, queries per session, return rates), most frequently asked questions, unanswered query patterns, citation click-through rates, answer acceptance and feedback scores, parachain-specific query breakdowns. Real-time updates with configurable date ranges and cohort filters. | -| 2. | User Authentication System | Optional login via GitHub OAuth and email/password. Anonymous usage tracking with privacy controls. Authenticated users can save query history and preferences. <5 second authentication flow. Compliant with GDPR and data privacy regulations. | -| 3. | Knowledge Gap Intelligence | Automated identification of: top 30 most-asked questions, queries with low citation rates (potential documentation gaps), topics with high search volume but limited indexed content, trending questions (spike detection), comparative analysis across parachains and protocol features. | -| 4. | Exportable Reporting | Generate reports in CSV and JSON formats including: complete query logs with timestamps, citation sources and click-through data, user engagement metrics and session data, topic clusters and frequency counts, geographic distribution summaries. Reports generated on-demand or scheduled automatically. | - -**Acceptance Criteria:** -- Analytics dashboard processes 15,000+ queries with <3s load time for any view -- Top 30 most-asked questions identified automatically with ≥90% accuracy -- GitHub OAuth authentication completes in <5 seconds with proper error handling -- Geographic analytics show user distribution across ≥20 countries during pilot -- Exportable reports include all specified metrics with granular filtering options -- Dashboard identifies ≥10 clear documentation gaps based on query patterns -- Real-time updates reflect new queries within 30 seconds - ---- - -### Milestone 4 — Maintenance & Ecosystem Impact Assessment - -- **Estimated duration:** 9 months -- **FTE:** 0.5 -- **Costs:** 4,000 DAI - -**User Stories:** -- "As ecosystem leadership, I want a comprehensive impact report demonstrating ROI and developer satisfaction to justify continued investment." -- "As a potential adopter in another ecosystem, I want quantified benefits and case studies to evaluate Bytebell for our project." -- "As the grants committee, I want evidence of developer adoption, usage patterns, and measurable outcomes to assess project success." - -**Deliverables:** - -| Number | Deliverable | Specification | -| -----: | ----------- | ------------- | -| **0a.** | License | Apache 2.0 | -| **0b.** | Documentation | Complete operational guide for Polkadot ecosystem teams to manage Bytebell independently. Includes: infrastructure requirements, scaling guidelines, maintenance procedures, troubleshooting workflows, cost projections. | -| **0c.** | TTesting Guide | Stress tests demonstrating system stability under production load. Uptime monitoring validation. Performance benchmarks for various query types and load scenarios. | -| **0d.** | Article | Public impact report with key findings, case studies, and future roadmap. Additional internal comprehensive report for W3F with detailed metrics, cost analysis, and sustainability recommendations. | -| 1. | Complete Impact Assessment | Report including: total queries processed, unique active users, query resolution rate and accuracy, average time-to-answer vs traditional support channels (forum posts), documentation gap analysis with prioritized recommendations, developer satisfaction survey results (NPS, CSAT scores), time-to-first-contribution metrics for new developers, support ticket deflection rates for covered topics. Includes 3-4 detailed case studies of parachain teams or individual developers showing concrete onboarding acceleration and productivity improvements. | -| 2. | Production-Ready System | Polkadot.bytebell.ai deployed with 99.5% uptime over final 9 months. Production monitoring, logging, and alerting infrastructure. Automated backup and disaster recovery procedures. Load balancing supporting 100+ concurrent users. Performance optimizations ensuring <4s p95 latency for complex queries. | -| 3. | Sustainability Plan | Detailed document covering: projected infrastructure costs at various usage scales (100, 500, 1000+ daily active users), recommended maintenance schedule and staffing requirements, monitoring and alerting best practices, suggested update cadence for indexed content, cost reduction strategies and optimization opportunities, path to community-managed operations. | -| 4. | Knowledge Transfer Package | Complete handoff materials enabling Polkadot ecosystem teams to operate independently: administrative guides and operational runbooks, troubleshooting documentation and FAQ, training session recordings for key personnel, direct support channel for first 90 days post-delivery, open-sourced components (Substrate parser, MCP server) with contribution guidelines. | - -**Acceptance Criteria:** -- System successfully handled ≥30,000 total queries with ≥92% citation accuracy rate -- Average query resolution time <4s (p95 latency) for production traffic -- Documented case studies show median time-to-first-PR for new contributors reduced by ≥25% -- Developer satisfaction survey shows ≥75% would recommend Bytebell to other Polkadot developers -- System maintained 99.5% uptime during final 3-month period -- Support ticket volume for indexed topics reduced by ≥35% in participating teams -- Complete documentation enables ecosystem teams to maintain and operate Bytebell independently -- Sustainability plan includes realistic cost projections validated against actual usage data -- Geographic reach spans ≥25 countries based on query analytics -- Knowledge transfer completed with at least 2 ecosystem team members trained - -**What "Maintenance + Automatic Feature Rollout" Means**: -During these 9 months, the Bytebell team will: - -- Monitor system performance and uptime (99.5%+ target) -- Respond to bug reports and technical issues -- **Automatically deploy new features developed for our core platform, including**: - -- **Team context features**: Workspace-specific knowledge graphs, team permission management -- **Enhanced user histories**: Personalized query history, learning patterns, context carryover between sessions -- **Custom-trained models**: Polkadot/Substrate-specific fine-tuned models for improved accuracy -- **Advanced retrieval techniques**: As we improve our RAG pipeline, Polkadot deployment benefits automatically -Any other product improvements shipped to our production platform - -**Community Engagement Requirements**: - -- Active Telegram group maintained with Polkadot core developers, parachain teams, and community members -- Weekly engagement summary reports -- Monthly community calls to review feedback and discuss upcoming features -- Quarterly developer satisfaction surveys -- Direct channel for urgent issues and feature requests ---- - -## Future Plans - -**Short term (3-6 months post-grant):** -- Gather feedback and iterate on Substrate-specific features -- Ship IDE plugins (VS Code, IntelliJ) with Polkadot-aware features -- Present at Sub0 or Polkadot Decoded to drive adoption - -**Long-term maintenance:** - -We're building Bytebell as a sustainable SaaS business. During the 12-month grant period, the Polkadot deployment will be completely free for the entire ecosystem. During this period, all parachain teams, individual developers, core contributors, and community members will have unrestricted access to the full feature set—including private repo integration, analytics, and priority support—at no cost. -After the initial grant-funded year, we'll transition to a sustainable model: - -Free tier: Public repos and ecosystem docs (always free for individual developers) -Team tier ($1200/month): Private repos, team analytics, priority support for commercial parachain teams -Enterprise: Custom deployments, SSO, SLAs for larger organizations - -However, we're committed to keeping the core Polkadot ecosystem deployment accessible. Educational institutions, open-source projects, and individual developers will continue to have free access beyond the first year. - -**Growth strategy**: - -Start with parachain DevRel teams (they feel this pain most) -Expand to core protocol contributors -Partner with Polkadot educational programs (Polkadot Blockchain Academy, etc.) -Build corpus of "best practices" that compound as more teams use it -Open source the Substrate parser and some core components to drive adoption - -**Free Access Period (Months 1-12)** -During the 12-month grant period, the Polkadot deployment will be completely free for the entire ecosystem. This includes: - -- All parachain teams (commercial and non-commercial) -- Individual developers -- Core protocol contributors -- Community members -- Educational institutions -- General Public - -Full feature access at no cost: - -- Private repository integration -- Analytics dashboard -- Priority support -- All Substrate-specific features -- Unlimited queries - -**Transition to Sustainable Model (Month 13 onwards)** -**Starting Month 13 (after grant completion)**, we'll introduce a tiered pricing model: -**Free Tier (Always Free)**: - -- Public repositories and ecosystem documentation -- Community forum integration -- Basic analytics -- For: Individual developers, students, open-source projects -- Total 10 million tokens per month - -**Team Tier ($1,500/month)**: - -- Private repository integration -- Team analytics and insights -- Priority support -- Advanced features -- For: Commercial parachain teams and startups -- Total 200 million tokens per month - - -**Team's long-term vision:** -We believe every ecosystem needs a unified context layer. Polkadot is perfect because of its technical depth and the challenge of understanding how everything connects. If we nail this, we prove the model works for any complex technical ecosystem. Long term, we want Bytebell to be infrastructure—the layer that makes organizational knowledge queryable, verifiable, and useful for both humans and AI agents. - -## Additional Information :heavy_plus_sign: - -**How did you hear about the Grants Program?** -Through the Polkadot ecosystem. I've been following Substrate development for years and have seen grant announcements on the forum. - -**Additional context:** - -We've already invested 8 months building Bytebell and have paying customers. This grant isn't about proving the concept—it's about making Bytebell work specifically for Polkadot's unique needs. The Substrate-specific features we're building (pallet awareness, runtime version tracking, on-chain context) wouldn't make sense for our Ethereum or ZK customers, but they're critical for Polkadot. - -We're also committed to giving back to the ecosystem. Parts of our Substrate parser and the MCP server will be open sourced so other tools can build on them. - -**Why we're a good bet:** -- We've already shipped a working product (not vaporware) -- We have paying customers proving people want this -- We've built in Web3 infrastructure before (Polygon, Biconomy) -- We're realistic about timelines and scope -- We know how to take brittle systems to production scale - -**What we need:** -Funding to focus on Polkadot integration for 3 months. We'll continue maintaining our existing customer deployments, but this grant lets us dedicate engineering time to ecosystem-specific features that benefit everyone. - -Happy to answer any questions or do a live demo of the current system. Just reach out to saurav@bytebell.ai. -``` From 4c3ef0b83f3858a186b349479b63b229fb9cbd23 Mon Sep 17 00:00:00 2001 From: deus_machinea Date: Thu, 23 Oct 2025 02:41:00 +0530 Subject: [PATCH 4/5] Updated bytebell.md Integrated all suggested changes --- applications/bytebell.md | 194 +++++++++++++++++++++++++++++++++------ 1 file changed, 165 insertions(+), 29 deletions(-) diff --git a/applications/bytebell.md b/applications/bytebell.md index d44112db541..a938b9d18b6 100644 --- a/applications/bytebell.md +++ b/applications/bytebell.md @@ -1,24 +1,132 @@ -# Bytebell - Context Copilot for Polkadot Ecosystem +# Bytebell - Developer Copilot for Polkadot Ecosystem - **Team Name:** Bytebell AI Private Limited - **Payment Details:** - **DOT**: 1NY6JBh7KqtWiFVC11fZhoyTH8vEXoJFJRiBFBWoh6kj7GP - + - **Payment Address (USDT - AssetHub)**: 1NY6JBh7KqtWiFVC11fZhoyTH8vEXoJFJRiBFBWoh6kj7GP + - **Currency**: USDT/DOT (50/50) - **Level:** 2 -# Bytebell - Developer Copilot for Polkadot Ecosystem ## Project Overview :page_facing_up: ### Overview -**Tagline:** Unified context for the entire Polkadot stack—code, governance, and community, with receipts. +### Why Bytebell Deserves Your Attention + +#### The Problem is Costing Polkadot Developers 5+ Hours Every Week + +**Current Reality for Polkadot Developers:** +- Context for Web3 ecosystems is scattered across **GitHub repositories, technical blogs, forum discussions, research papers, documentation sites, and architectural diagrams** +- The average Polkadot developer spends **5+ hours per week** just searching for information +- New developers take **3-6 months** to become productive in the Polkadot ecosystem +- Senior developers spend **15-20% of their time** answering the same repeated questions +- Fortune 500 companies lose **$47 million annually** per enterprise due to fragmented knowledge + +#### Bytebell's Solution: 95% Reduction in Context Search Time + +**What Bytebell Delivers:** +- **Single searchable source** that ingests everything: code repositories, documentation, forums, research papers, architectural images, and governance discussions +- **Sub-1-minute answers** with exact citations (file, line, branch, release) replacing 5+ hours of manual searching per week +- **95% reduction in onboarding time**: New developers become productive in days instead of months +- **Zero hallucinations**: We refuse to answer without verified sources—every response includes receipts + +#### Immediate Impact for Polkadot Ecosystem + +**Time Savings:** +- **5 hours → 15 minutes per week** per developer for context discovery +- **3-6 months → 1 week** for new developer onboarding +- **80% reduction** in repetitive questions to senior developers + +**Cost Savings (Per 50-Developer Team):** +- Current cost: **$2.3 million/year** lost to scattered knowledge +- Bytebell cost: **$18,000/year** (free during 12-month grant period) +- **Net savings: $2.28 million/year** +- **ROI: 12,600%** + +#### What Makes This Different + +**Web3-Native Context Awareness:** +- Links answers to **on-chain state**: runtime versions, block heights, governance proposals, upgrade referendums +- Tracks **Substrate-specific patterns**: pallet relationships, FRAME macros, runtime configurations +- Connects **code to governance**: "This feature was introduced in runtime 9340 (Referendum 241, block 13,654,321)" + +**Polkadot Wallet Integration:** +- Developers can **authenticate with Polkadot wallets** for premium features +- **Pay-per-query model** for extended usage beyond free tier +- Drives **DOT utility** within the developer ecosystem +- Creates sustainable model aligned with Polkadot's tokenomics + +#### Proven Traction + +**Already Live with Paying Customers:** +- **$7,000 MRR** across 5 paying customers +- **99% answer accuracy** (verified by customers) +- **< 1 week time to value** (setup to first answer) +- **97% customer retention** (customers depend on it, don't just use it) + +**Live Ecosystem Deployments:** +- **ZK Ecosystem**: https://zk.bytebell.ai +- **Ethereum Ecosystem**: https://ethereum.bytebell.ai +- **450+ queries daily** across live deployments -Bytebell is a developer copilot that prevents technical knowledge from scattering across your organization. We're building Polkadot ecosystem support so developers can query across substrate codebases, parachain documentation, governance discussions, and technical specifications—all in one place, with every answer tied to exact file, line, branch, and release. +#### What We're Building for Polkadot -Right now, Polkadot developers waste hours digging through substrate repos, parachain docs, and forum threads trying to piece together how things actually work. A runtime upgrade discussion lives in a governance post. The actual implementation is spread across three repos. Best practices exist only in someone's head or a Discord thread from six months ago. New parachain teams spend weeks just trying to understand the context they need. +**3-Month Core Development:** +1. **Month 1**: Substrate parser + documentation integration → 100+ sources indexed +2. **Month 2**: Runtime version tracking + MCP integration → Version-aware context +3. **Month 3**: Analytics dashboard → Identify knowledge gaps + +**9-Month Maintenance + Feature Evolution:** +- **99.5% uptime** with production monitoring +- **Automatic rollout** of new features developed for core platform +- **Community engagement**: Weekly reports, monthly calls, quarterly surveys + +#### The Ask: $30,000 for 12 Months + +**Budget Breakdown:** +- **Engineering**: $17,000 (Substrate parsing, version tracking, analytics) +- **Infrastructure**: $7,000 (Cloud, databases, vector stores, indexing pipelines) +- **Customer Success**: $6,000 (Developer onboarding, documentation, support) + + +#### Why We'll Succeed + +**Battle-Tested Team:** +- **Saurav Verma**: VP Engineering at Polygon (millions of daily transactions), Infrastructure at Biconomy (10M+ requests/day) +- **16+ years** of production systems at scale +- **Already shipped** working product serving other ecosystems +- **Proven** multi-agent architecture that eliminates hallucinations + +**We're Not Building from Zero:** +- Core platform exists and is generating revenue +- Polkadot-specific features are **extensions**, not experiments +- We know exactly what works (and what doesn't) from 8 months of customer feedback + +#### Long-Term Vision: Sustainable Beyond Grant + +**Free Access Period (Months 1-12):** +- **Entire Polkadot ecosystem** gets free access during grant period +- All features unlocked: private repos, analytics, priority support + +**Post-Grant Sustainability (Month 13+):** +- **Free tier**: Public repos, ecosystem docs (always free for individual developers) +- **Team tier**: $1,500/month for commercial parachain teams +- **Educational institutions and open-source projects**: Free forever + +**Polkadot Wallet Payment Integration:** +- Developers pay with **DOT** for queries beyond free limits +- Creates organic DOT demand within developer community +- Aligns incentives: better Bytebell → more DOT utility + +#### The Bottom Line + +**Every hour a Polkadot developer spends searching for context is an hour not spent building.** + +Bytebell transforms **5+ hours of weekly search time into 15 minutes**, accelerates onboarding from **3-6 months to 1 week**, and creates a **permanent knowledge layer** that compounds in value as the ecosystem grows. + +**This is infrastructure that pays for itself 126x over in the first year alone.** -We're interested in this because we've felt this pain building in the Web3 space. I spent years at Polygon and Biconomy dealing with fragmented infrastructure knowledge. Every new engineer took months to get productive because context was everywhere and nowhere. We built Bytebell to solve this—and Polkadot's technical depth makes it the perfect ecosystem to prove the value of unified, verifiable context. ### Project Details @@ -37,6 +145,11 @@ A Polkadot-native deployment of Bytebell that ingests: - Receipt-based answers (file path, line number, commit hash, discussion link) - Permission-aware access (respects private repos for teams) - Works via web interface, MCP client, and coming soon - IDE plugins +- Complete Polkadot knowledge corpus (100+ sources) +- MCP integration (Cursor, Claude Desktop, Windsurf) +- Analytics dashboard for ecosystem insights +- Docker images for self-hosting +- Free access for entire ecosystem during grant period **Technology stack:** - VoltAgent framework (our multi-agent orchestration system) @@ -130,17 +243,18 @@ The closest might be Mintlify or Gitbook for docs, but they don't handle code re ### Contact - **Contact Name:** Saurav Verma +- **Website:** https://www.bytebell.ai - **Contact Email:** saurav@bytebell.ai - **Linkedin:** https://www.linkedin.com/in/saurav1verma/ ### Legal Structure -- **Registered Address:** New Delhi, India +- **Registered Legal Entity:** Bytebell Technology Private Limited +- **Registered Address:** India ### Team's experience **Saurav Verma:** -- IIT Delhi, Class of 2008 - VP Engineering at Polygon (handling millions of daily transactions) - Built scalability systems at Biconomy (10M+ requests/day) - Worked with Government of India launching 10+ digital projects @@ -188,6 +302,7 @@ We've already built the core Bytebell platform and have it running in production - Developed version-aware ingestion for multiple git hosting platforms - Created permission inheritance from identity providers + **Why this grant:** We want to build Polkadot-specific features that make sense for the ecosystem but wouldn't be covered by our standard subscription model: - Substrate pallet-aware parsing @@ -200,15 +315,15 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu ### Overview - **Total Estimated Duration:** 3 months + 9 months maintenance -- ** Average Full-Time Equivalent (FTE): 1.5 FTE -- **Total Costs:** 30,000 DAI -- **DOT %:** 0% (requesting full payment in DAI) +- **Average Full-Time Equivalent (FTE):** 1.5 FTE +- **Total Costs:** 30,000 USD +- **DOT %:** 50% (15,000 USD in DOT, 15,000 USD in USDT) ### Milestone 1 — Substrate Parser & Ecosystem Documentation Integration - **Estimated duration:** 1 month - **FTE:** 2.5 -- **Costs:** 15,000 DAI +- **Costs:** 15,000 USDT **User Stories:** - "How do I configure a custom pallet in my Substrate runtime?" @@ -224,15 +339,19 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu | **0a.** | License | Apache 2.0 | | **0b.** | Documentation | Complete setup guide for integrating Bytebell's embeddable component into documentation sites. Tutorial showing how to query across Substrate pallets with source citations. | | **0c.** | Testing Guide | Unit tests for: Substrate project parsing, pallet dependency extraction, runtime configuration tracking, FRAME macro recognition. Guide covers local testing procedures and validation steps. | -| **0d.** | Article | Technical writeup on parsing Substrate's architecture and maintaining version-accurate context across runtime upgrades. Audience: Polkadot SDK developers. | +| **0d.** | Docker | Final production-ready Cloud version, as we wouldn't be able to provide a Docker image at this time, will provide in mid-2026. You wouldn't need Docker because everything will be available on the cloud. For a private on-premises setup, we would need time till mid 2026, and that would move our focus away from the current problem. The cloud version will have | +|| |Pre-indexed sample Substrate repository, docs, blogs, forums +|| | Documentation showing how to add new repositories and configure parsing rules, +|| | Health check endpoint and basic monitoring. +| **0e.** | Article | Technical writeup on parsing Substrate's architecture and maintaining version-accurate context across runtime upgrades. Audience: Polkadot SDK developers. | | 1. | Substrate-Aware Ingestion Engine | Custom parser understanding Substrate project structure: pallet organization, runtime configs, FRAME patterns, trait implementations. Extracts relationships between pallets, maps dispatchable calls to implementations, tracks storage items and hooks. | | 2. | Extended Documentation Corpus | Index comprehensive Polkadot ecosystem resources: Polkadot Wiki, docs.polkadot.com, Substrate documentation, parachain-specific guides (Moonbeam, Astar, Acala, HydraDX, Phala), technical RFCs, and community tutorials. Total: 100+ documents with receipts to exact sections. | | 3. | Embeddable Query Widget | JavaScript component for documentation sites with sub-2 second response times. Features: receipt-backed answers, source highlighting, configurable styling, mobile responsive. Handles 20+ concurrent users without performance degradation. | | 4. | Content Management Dashboard | Admin panel for documentation maintainers: add/update/remove indexed sources, trigger re-indexing of specific repositories, monitor indexing status, view citation accuracy metrics. New resources indexed within 10 minutes of submission. | **Acceptance Criteria:** -- Widget successfully embedded on Polkadot documentation sites with <2s initial load -- Admin dashboard enables content updates with re-indexing completed in <10 minutes +- Widget successfully embedded on Polkadot documentation sites within 2s initial load +- Admin dashboard enables content updates with re-indexing completed in less than 10 minutes - Extended corpus covers 100+ documents with ≥99% citation accuracy rate - System maintains performance with 20+ simultaneous users querying different topics @@ -242,7 +361,7 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu - **Estimated duration:** 1 month - **FTE:** 2 -- **Costs:** 7,000 DAI +- **Costs:** 7,000 USD in DOT **User Stories:** - "What changed in the Staking pallet between runtime 9430 and 9340?" @@ -258,7 +377,11 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu | **0a.** | License | Apache 2.0 | | **0b.** | Documentation | Guide for setting up MCP client integration with popular development environments. Documentation on querying by runtime version, filtering by block ranges, and interpreting on-chain context in answers. Tutorial on automated documentation workflows. | | **0c.** | Testing Guide | Integration tests for: RPC node connectivity, runtime version extraction, block/extrinsic lookups, automated documentation regeneration workflows, real-time GitHub sync. Tests verify correct version binding in citations. | -| **0d.** | Article | Case study showing how runtime version awareness prevents outdated answers, with examples of queries that span multiple Polkadot runtime upgrades. Technical audience. | +| **0d.** | Docker | We will not provide docker image at this stage but will provide a cloud version that will have: +|| | Runtime version tracking module, +|| | MCP server integration, +|| | Sample queries demonstrating version-aware context retrieval | +| **0e.** | Article | Case study showing how runtime version awareness prevents outdated answers, with examples of queries that span multiple Polkadot runtime upgrades. Technical audience. | | 1. | Model Context Protocol Server | MCP-compliant server for Polkadot ecosystem queries. Integrates with Claude Desktop, Cursor IDE, and other MCP-compatible tools. Responds to queries within 3 seconds. Auto-detects Substrate code contexts and provides relevant parachain-specific information. | | 2. | Runtime Version Intelligence | Track runtime versions from on-chain data via RPC integration. Map code changes to specific runtime upgrades. Answer queries like "how did staking work in runtime 9430" or "what changed between runtime 1002000 and 1002001". Include runtime version, block height, and upgrade proposal references in citations. | | 3. | Real-Time Repository Ingestion | Continuous GitHub ingestion pipeline for Polkadot core repos, Substrate, Cumulus, and major parachains. Incremental indexing updates within 5 minutes of new commits, PRs, or issues. Support for querying specific branches, commit ranges, and PR diffs. Integration with GitHub API for metadata (authors, timestamps, linked issues, review comments). | @@ -266,7 +389,7 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu | 5. | Governance Proposals | When answering questions about protocol functionality, include: links to governance proposals that enacted changes. Example citation: "Nomination pools introduced in runtime 9340 (block 13,654,321, Referendum 241)". | **Acceptance Criteria:** -- MCP server integrates successfully with Cursor and Claude Desktop, <3s query response time +- MCP server integrates successfully with Cursor and Claude Desktop, less than 3s query response time - Automated documentation generation completes within 15 minutes of code commits to tracked branches - Generated docs include tested code examples validated against current codebase version - Webhook triggers fire successfully for ≥95% of qualifying commits @@ -281,7 +404,7 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu - **Estimated duration:** 1 month - **FTE:** 0.5 -- **Costs:** 4,000 DAI +- **Costs:** 4,000 USD in DOT **User Stories:** @@ -303,16 +426,23 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu | **0a.** | License | Apache 2.0 | | **0b.** | Documentation | Analytics dashboard user guide covering all metrics, filters, and export options. Privacy policy documentation for user tracking and data retention. | | **0c.** | Testing Guide | Performance tests for dashboard under load (10,000+ queries). Tests for authentication flows, data export functionality, and real-time updates. Privacy control validation. | -| **0d.** | Article | Insights report analyzing first 30 days of query patterns: top topics, knowledge gaps identified, geographic distribution, citation effectiveness. Recommendations for documentation improvements. | +| **0e.** | Article | Case study showing how runtime version awareness prevents outdated answers, with examples of queries that span multiple Polkadot runtime upgrades. Technical audience. | +| **0d.** | Docker | No Docker yet but cloud deployment with analytics dashboard including: +|| | Complete analytics platform with sample data, +|| | User authentication system configured, +|| | Export functionality for reports, +|| | Documentation for deploying and customizing the dashboard, +|| | API documentation for integrating with external monitoring tools. | +| **0e.** | Article | Insights report analyzing first 30 days of query patterns: top topics, knowledge gaps identified, geographic distribution, citation effectiveness. Recommendations for documentation improvements. | | 1. | Comprehensive Analytics Platform | Dashboard displaying: query volume and trends over time, topic clustering and frequency analysis, geographic user distribution (based on timezone/IP), session metrics (duration, queries per session, return rates), most frequently asked questions, unanswered query patterns, citation click-through rates, answer acceptance and feedback scores, parachain-specific query breakdowns. Real-time updates with configurable date ranges and cohort filters. | -| 2. | User Authentication System | Optional login via GitHub OAuth and email/password. Anonymous usage tracking with privacy controls. Authenticated users can save query history and preferences. <5 second authentication flow. Compliant with GDPR and data privacy regulations. | +| 2. | User Authentication System | Optional login via GitHub OAuth and email/password. Anonymous usage tracking with privacy controls. Authenticated users can save query history and preferences. less than 5 second authentication flow. Compliant with GDPR and data privacy regulations. | | 3. | Knowledge Gap Intelligence | Automated identification of: top 30 most-asked questions, queries with low citation rates (potential documentation gaps), topics with high search volume but limited indexed content, trending questions (spike detection), comparative analysis across parachains and protocol features. | | 4. | Exportable Reporting | Generate reports in CSV and JSON formats including: complete query logs with timestamps, citation sources and click-through data, user engagement metrics and session data, topic clusters and frequency counts, geographic distribution summaries. Reports generated on-demand or scheduled automatically. | **Acceptance Criteria:** -- Analytics dashboard processes 15,000+ queries with <3s load time for any view +- Analytics dashboard processes 15,000+ queries with less than 3s load time for any view - Top 30 most-asked questions identified automatically with ≥90% accuracy -- GitHub OAuth authentication completes in <5 seconds with proper error handling +- GitHub OAuth authentication completes in less than 5 seconds with proper error handling - Geographic analytics show user distribution across ≥20 countries during pilot - Exportable reports include all specified metrics with granular filtering options - Dashboard identifies ≥10 clear documentation gaps based on query patterns @@ -324,7 +454,7 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu - **Estimated duration:** 9 months - **FTE:** 0.5 -- **Costs:** 4,000 DAI +- **Costs:** 4,000 USD in DOT **User Stories:** - "As ecosystem leadership, I want a comprehensive impact report demonstrating ROI and developer satisfaction to justify continued investment." @@ -337,16 +467,22 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu | -----: | ----------- | ------------- | | **0a.** | License | Apache 2.0 | | **0b.** | Documentation | Complete operational guide for Polkadot ecosystem teams to manage Bytebell independently. Includes: infrastructure requirements, scaling guidelines, maintenance procedures, troubleshooting workflows, cost projections. | -| **0c.** | TTesting Guide | Stress tests demonstrating system stability under production load. Uptime monitoring validation. Performance benchmarks for various query types and load scenarios. | -| **0d.** | Article | Public impact report with key findings, case studies, and future roadmap. Additional internal comprehensive report for W3F with detailed metrics, cost analysis, and sustainability recommendations. | +| **0c.** | Testing Guide | Stress tests demonstrating system stability under production load. Uptime monitoring validation. Performance benchmarks for various query types and load scenarios. | +| **0d.** | Docker | The final production-ready cloud version, as well as the Docker image that you can deploy on-premises or anywhere in the cloud, is available. Please note that if you would like to host the Polkadot developer copilot in-house, we would need GPUs installed at your premises. +|| 1 | Complete Bytebell system optimized for Polkadot ecosystem, +|| 2 | All milestones integrated, +|| 3 | Full documentation for self-hosting and maintenance, +|| 4 |Deployment configurations for cloud and on-premises setups, +|| 5 |Backup and disaster recovery procedures. Image suitable for long-term ecosystem deployment. | +| **0e.** | Article | Public impact report with key findings, case studies, and future roadmap. Additional internal comprehensive report for W3F with detailed metrics, cost analysis, and sustainability recommendations. | | 1. | Complete Impact Assessment | Report including: total queries processed, unique active users, query resolution rate and accuracy, average time-to-answer vs traditional support channels (forum posts), documentation gap analysis with prioritized recommendations, developer satisfaction survey results (NPS, CSAT scores), time-to-first-contribution metrics for new developers, support ticket deflection rates for covered topics. Includes 3-4 detailed case studies of parachain teams or individual developers showing concrete onboarding acceleration and productivity improvements. | -| 2. | Production-Ready System | Polkadot.bytebell.ai deployed with 99.5% uptime over final 9 months. Production monitoring, logging, and alerting infrastructure. Automated backup and disaster recovery procedures. Load balancing supporting 100+ concurrent users. Performance optimizations ensuring <4s p95 latency for complex queries. | +| 2. | Production-Ready System | Polkadot.bytebell.ai deployed with 99.5% uptime over final 9 months. Production monitoring, logging, and alerting infrastructure. Automated backup and disaster recovery procedures. Load balancing supporting 100+ concurrent users. Performance optimizations ensuring less than 4s p95 latency for complex queries. | | 3. | Sustainability Plan | Detailed document covering: projected infrastructure costs at various usage scales (100, 500, 1000+ daily active users), recommended maintenance schedule and staffing requirements, monitoring and alerting best practices, suggested update cadence for indexed content, cost reduction strategies and optimization opportunities, path to community-managed operations. | | 4. | Knowledge Transfer Package | Complete handoff materials enabling Polkadot ecosystem teams to operate independently: administrative guides and operational runbooks, troubleshooting documentation and FAQ, training session recordings for key personnel, direct support channel for first 90 days post-delivery, open-sourced components (Substrate parser, MCP server) with contribution guidelines. | **Acceptance Criteria:** - System successfully handled ≥30,000 total queries with ≥92% citation accuracy rate -- Average query resolution time <4s (p95 latency) for production traffic +- Average query resolution time less than 3s (p95 latency) for production traffic - Documented case studies show median time-to-first-PR for new contributors reduced by ≥25% - Developer satisfaction survey shows ≥75% would recommend Bytebell to other Polkadot developers - System maintained 99.5% uptime during final 3-month period From e2fbc06e13b8fd19f5b58c0aadaac9f4d443e9c9 Mon Sep 17 00:00:00 2001 From: deusmachinea Date: Tue, 11 Nov 2025 16:21:25 +0530 Subject: [PATCH 5/5] Fixing the errors stated by the Polkadot team --- applications/bytebell.md | 350 ++++++++++++++------------------------- 1 file changed, 121 insertions(+), 229 deletions(-) diff --git a/applications/bytebell.md b/applications/bytebell.md index a938b9d18b6..72a503f33c0 100644 --- a/applications/bytebell.md +++ b/applications/bytebell.md @@ -10,135 +10,39 @@ ## Project Overview :page_facing_up: -### Overview - -### Why Bytebell Deserves Your Attention - -#### The Problem is Costing Polkadot Developers 5+ Hours Every Week - -**Current Reality for Polkadot Developers:** -- Context for Web3 ecosystems is scattered across **GitHub repositories, technical blogs, forum discussions, research papers, documentation sites, and architectural diagrams** -- The average Polkadot developer spends **5+ hours per week** just searching for information -- New developers take **3-6 months** to become productive in the Polkadot ecosystem -- Senior developers spend **15-20% of their time** answering the same repeated questions -- Fortune 500 companies lose **$47 million annually** per enterprise due to fragmented knowledge - -#### Bytebell's Solution: 95% Reduction in Context Search Time - -**What Bytebell Delivers:** -- **Single searchable source** that ingests everything: code repositories, documentation, forums, research papers, architectural images, and governance discussions -- **Sub-1-minute answers** with exact citations (file, line, branch, release) replacing 5+ hours of manual searching per week -- **95% reduction in onboarding time**: New developers become productive in days instead of months -- **Zero hallucinations**: We refuse to answer without verified sources—every response includes receipts - -#### Immediate Impact for Polkadot Ecosystem - -**Time Savings:** -- **5 hours → 15 minutes per week** per developer for context discovery -- **3-6 months → 1 week** for new developer onboarding -- **80% reduction** in repetitive questions to senior developers - -**Cost Savings (Per 50-Developer Team):** -- Current cost: **$2.3 million/year** lost to scattered knowledge -- Bytebell cost: **$18,000/year** (free during 12-month grant period) -- **Net savings: $2.28 million/year** -- **ROI: 12,600%** - -#### What Makes This Different - -**Web3-Native Context Awareness:** -- Links answers to **on-chain state**: runtime versions, block heights, governance proposals, upgrade referendums -- Tracks **Substrate-specific patterns**: pallet relationships, FRAME macros, runtime configurations -- Connects **code to governance**: "This feature was introduced in runtime 9340 (Referendum 241, block 13,654,321)" - -**Polkadot Wallet Integration:** -- Developers can **authenticate with Polkadot wallets** for premium features -- **Pay-per-query model** for extended usage beyond free tier -- Drives **DOT utility** within the developer ecosystem -- Creates sustainable model aligned with Polkadot's tokenomics - -#### Proven Traction - -**Already Live with Paying Customers:** -- **$7,000 MRR** across 5 paying customers -- **99% answer accuracy** (verified by customers) -- **< 1 week time to value** (setup to first answer) -- **97% customer retention** (customers depend on it, don't just use it) - -**Live Ecosystem Deployments:** -- **ZK Ecosystem**: https://zk.bytebell.ai -- **Ethereum Ecosystem**: https://ethereum.bytebell.ai -- **450+ queries daily** across live deployments +RFP reference: none +Follow up grant reference: none -#### What We're Building for Polkadot +### Tagline +Receipts first developer copilot for Polkadot that answers with exact citations. -**3-Month Core Development:** -1. **Month 1**: Substrate parser + documentation integration → 100+ sources indexed -2. **Month 2**: Runtime version tracking + MCP integration → Version-aware context -3. **Month 3**: Analytics dashboard → Identify knowledge gaps +### Brief description +Bytebell is a developer copilot that unifies code, docs, repos, forums, PDFs, and chats into a version aware graph and returns answers with receipts from the exact file and line, updated on every new commit. -**9-Month Maintenance + Feature Evolution:** -- **99.5% uptime** with production monitoring -- **Automatic rollout** of new features developed for core platform -- **Community engagement**: Weekly reports, monthly calls, quarterly surveys +### Why we are building this -#### The Ask: $30,000 for 12 Months +Developers lose time hunting for scattered context. We want to give Polkadot teams a single place to ask technical questions and get verified answers tied to real code and chain state. We already run paid Web3 copilots and you can check live deployments at ethereum.bytebell.ai and zktech.bytebell.ai. We also shipped an MVP copilot for Polkadot at polkadot.bytebell.ai. -**Budget Breakdown:** -- **Engineering**: $17,000 (Substrate parsing, version tracking, analytics) -- **Infrastructure**: $7,000 (Cloud, databases, vector stores, indexing pipelines) -- **Customer Success**: $6,000 (Developer onboarding, documentation, support) +This grant will fund concrete upgrades that Polkadot teams would want: +1. Propose documentation changes automatically on every new git push +2. Ingest Notion workspaces +3. Ingest forum threads in real time +4. Advanced chat analytics in the admin panel that show what questions are asked and from where +5. Automatic detection of documentation gaps and suggestions for fixes -#### Why We'll Succeed -**Battle-Tested Team:** -- **Saurav Verma**: VP Engineering at Polygon (millions of daily transactions), Infrastructure at Biconomy (10M+ requests/day) -- **16+ years** of production systems at scale -- **Already shipped** working product serving other ecosystems -- **Proven** multi-agent architecture that eliminates hallucinations - -**We're Not Building from Zero:** -- Core platform exists and is generating revenue -- Polkadot-specific features are **extensions**, not experiments -- We know exactly what works (and what doesn't) from 8 months of customer feedback - -#### Long-Term Vision: Sustainable Beyond Grant - -**Free Access Period (Months 1-12):** -- **Entire Polkadot ecosystem** gets free access during grant period -- All features unlocked: private repos, analytics, priority support - -**Post-Grant Sustainability (Month 13+):** -- **Free tier**: Public repos, ecosystem docs (always free for individual developers) -- **Team tier**: $1,500/month for commercial parachain teams -- **Educational institutions and open-source projects**: Free forever - -**Polkadot Wallet Payment Integration:** -- Developers pay with **DOT** for queries beyond free limits -- Creates organic DOT demand within developer community -- Aligns incentives: better Bytebell → more DOT utility - -#### The Bottom Line - -**Every hour a Polkadot developer spends searching for context is an hour not spent building.** - -Bytebell transforms **5+ hours of weekly search time into 15 minutes**, accelerates onboarding from **3-6 months to 1 week**, and creates a **permanent knowledge layer** that compounds in value as the ecosystem grows. - -**This is infrastructure that pays for itself 126x over in the first year alone.** - - -### Project Details +## Project Details **What we're building:** -A Polkadot-native deployment of Bytebell that ingests: +A Polkadot-native Developer Copilot that ingests: - Substrate core repos and pallets -- Parachain codebases (Moonbeam, Astar, Acala, etc.) -- Polkadot Forum discussions and governance proposals +- Polkadot codebase - Technical RFCs and specification documents - Key ecosystem documentation sites + **Core features:** - Version-aware context graph linking code to discussions to specs - Multi-agent retrieval that searches across all sources in parallel @@ -159,30 +63,41 @@ A Polkadot-native deployment of Bytebell that ingests: - Permission inheritance from GitHub/GitLab **What we already have:** -- Working product serving other ecosystems (ZK, Ethereum, SEI) -- 5 paying customers at $1200/month +- Working product serving other ecosystems (Glue, daAI, SEI) - Proven ingestion pipeline for code, docs, PDFs, and discussions -- Multi-agent architecture that reduces hallucinations to near zero +- Multi-agent architecture that reduces hallucinations < 4% + +**PoC/MVP or other relevant prior work or research on the topic** +https://github.com/ByteBell/edge-framework +This is the open-source GitHub repository that you can install and run local AI models on Apple M-series chips machines with more than 16GB RAM. +We also designed an on-device code copilot that works only with on-device AI. + +**What your project is not or will not provide** + +- Not a blockchain indexer +- Not a code review or CI CD system +- Not a general chatbot that answers without sources +- Not a Token gated features or tokenomics +- Not a on-premises database hosting inside the reviewer environment +- Not a private customer data or proprietary datasets +- Provide a website widget that will answer anything related to Polkadot technology. +- Provide a web chatbot that will answer anything related to Polkadot technology. +- Provide an admin panel to see history, chat analytics, sources indexed on the Developer copilot. -**What we're NOT building:** -- A blockchain indexer (we query existing infrastructure) -- A code review tool or CI/CD system -- A general chatbot (we only answer with verified sources) -- Token-gated features or tokenomics **Prior work:** -- Live deployment: https://zk.bytebell.ai (try it with ZK rollup questions) +- Live deployment: https://zktech.bytebell.ai (try it with ZK rollup questions), ethereum.bytebell.ai - GitHub: https://github.com/ByteBell ### Ecosystem Fit **Where we fit:** -Bytebell sits between developers and the fragmented Polkadot knowledge base. We're infrastructure for knowledge access—making the entire ecosystem's technical context queryable and verifiable. +We sit between developers and the Polkadot knowledge base as enterprise AI for trusted knowledge access so the entire ecosystem becomes queryable and verifiable. **Target audience:** - Parachain development teams building on Substrate - New developers onboarding to Polkadot -- DevRel teams at parachains and ecosystem projects +- DevRel teams across ecosystem projects - Core protocol contributors navigating complex codebases - Governance participants researching technical proposals @@ -197,16 +112,15 @@ Bytebell sits between developers and the fragmented Polkadot knowledge base. We' We've spoken to 30+ teams in Web3. The pattern is consistent: - Web3 learning curve is notoriously steep (forum discussions full of "where do I even start") - Onboarding developers repeatedly ask the same questions across multiple channels -- Every parachain maintains its own partial documentation, none comprehensive - Senior devs spend 15-20% of time answering repeated questions -- Onboarding new engineers takes 3-6 months before first meaningful PR +- Onboarding new engineers takes 2-5 months before first meaningful PR Specific data points: - Polkadot Forum has thousands of discussions with valuable context scattered across threads - Substrate documentation site gets 50K+ visits monthly but conversion to actual developers is low - Multiple teams have told us "if we could search all our context at once, we'd save days per sprint" -**Similar projects in ecosystem:** +**Are there any other projects similar to yours in the Substrate / Polkadot / Kusama ecosystem?** Not really. There are general AI coding assistants (Cursor, GitHub Copilot) but they: - Work on single repos, not cross-ecosystem context - Don't understand Substrate-specific patterns @@ -219,7 +133,13 @@ Polkadot has great documentation sites (docs.substrate.io, wiki.polkadot.network - Don't capture community knowledge from forums/discussions - No way to filter by runtime version or specific parachain -**Similar projects in other ecosystems:** +**If not, please indicate why such a project might not have been possible, successful, or attempted.** +- Constantly changing Substrate versions without file path and line binding made answers drift and broke trust. +- No unified permissions across private repos, docs, and forums blocked real adoption. +- No receipts based, cross source graph with automated freshness, so assistants hallucinated and went stale. + + +**Are there any projects similar to yours in related ecosystems?** We're aware of some documentation aggregators and AI coding tools, but none combine: - Version-aware knowledge graphs - Receipt-based verification (refuse to answer without proof) @@ -227,7 +147,7 @@ We're aware of some documentation aggregators and AI coding tools, but none comb - On-chain state awareness - Permission governance -The closest might be Mintlify or Gitbook for docs, but they don't handle code repositories or community discussions, and they don't provide the graph structure that makes context compound over time. +The closest might be Mintlify or Gitbook for docs, but they don't handle code repositories or community discussions, and they don't provide the graph structure that makes context compound over time. Kapa.ai is almost similar but does not ingest any code repositories which is almost 50% of importance in Technical information gaps. ## Team :busts_in_silhouette: @@ -254,20 +174,37 @@ The closest might be Mintlify or Gitbook for docs, but they don't handle code re ### Team's experience -**Saurav Verma:** +#### Saurav - VP Engineering at Polygon (handling millions of daily transactions) - Built scalability systems at Biconomy (10M+ requests/day) - Worked with Government of India launching 10+ digital projects - Previous startup exit in 2012 - 15+ years shipping production systems at scale -**CJ:** -- 8+ years in ML and blockchain infrastructure -- Built production systems handling high-frequency trading data -- Previous work on AI agent frameworks -- Deep experience with vector databases and semantic search +#### Chaitanya +8+ years in machine learning and blockchain infrastructure, have shipped production systems that handle high frequency trading data, and have hands on experience building AI agent frameworks. Also have deep expertise with vector databases and semantic search, which lets us design reliable retrieval and reasoning pipelines end to end. + + -Together we've built multiple projects (QCI, ama.fans, Uniping) and have learned the hard way what users actually pay for versus what's just interesting tech. We're past the "build cool things" phase—we're focused on solving real problems that teams will pay to fix. +#### Nitesh +Senior Engineer +Bachelor of Engineering in Computer Science +Full stack developer who writes clean functional code and balances quality with speed. Thoughtful specs help Nitesh ship fast and keep standards high. + +#### Lovanshu +Engineer +Bachelor of Engineering, Computer Science +Full stack developer with strong machine learning and data analysis experience. Projects include WiseTrader where CNN and LSTM models were used for stock prediction with high accuracy. Skilled with TensorFlow, Keras, and Scikit learn. + +#### Sharvit +Engineer +B Tech Computer Science and Engineering +Enjoys modern web stacks such as MERN and PERN and is drawn to AI, LLMs, and intelligent systems. Hackathons and open discussions fuel curiosity. Writes meaningful code and keeps learning every day. + +#### Kavish +Engineer +B Tech Artificial Intelligence +Machine learning and deep learning engineer with a strong full stack base. Turns ideas into intelligent systems and scalable applications. We haven't applied for W3F grants previously, but we've been in the Polkadot ecosystem for years. I've debugged Substrate nodes, helped teams with runtime upgrades, and spent enough time in the forums to know where the pain points are. @@ -279,8 +216,12 @@ Note: Some of our core infrastructure is currently private as we're in active de ### Team LinkedIn Profiles -- https://www.linkedin.com/in/saurav1verma/ (Saurav) -- https://www.linkedin.com/in/chaitanyajatoliya/ (Chaitanya) +- Saurav - https://www.linkedin.com/in/saurav1verma/ +- Chaitanya - https://www.linkedin.com/in/chaitanyajatoliya/ +- Nitesh - https://www.linkedin.com/in/nitesh32 +- Lovanshu - https://www.linkedin.com/in/lovgarg/ +- Sharvit - https://www.linkedin.com/in/sharvit-kashikar-ab866a24b/ +- Kavish - https://www.linkedin.com/in/kavish-shah-937590281/ ## Development Status :open_book: @@ -319,11 +260,11 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu - **Total Costs:** 30,000 USD - **DOT %:** 50% (15,000 USD in DOT, 15,000 USD in USDT) -### Milestone 1 — Substrate Parser & Ecosystem Documentation Integration +### Milestone 1 — Core Polkadot integration and version awareness -- **Estimated duration:** 1 month -- **FTE:** 2.5 -- **Costs:** 15,000 USDT +- **Estimated duration:** 2 month +- **FTE:** 2 to 2.5 +- **Costs:** 20,000 USD **User Stories:** - "How do I configure a custom pallet in my Substrate runtime?" @@ -331,6 +272,7 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu - "What's the difference between StorageMap and StorageDoubleMap and when should I use each?" - "How do I add the Balances pallet to my runtime and configure it?" - "What pallets does Moonbeam use for EVM compatibility?" +- "Which runtime version introduced XCM v3 and what breaking changes did it include?" **Deliverables:** @@ -339,72 +281,32 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu | **0a.** | License | Apache 2.0 | | **0b.** | Documentation | Complete setup guide for integrating Bytebell's embeddable component into documentation sites. Tutorial showing how to query across Substrate pallets with source citations. | | **0c.** | Testing Guide | Unit tests for: Substrate project parsing, pallet dependency extraction, runtime configuration tracking, FRAME macro recognition. Guide covers local testing procedures and validation steps. | -| **0d.** | Docker | Final production-ready Cloud version, as we wouldn't be able to provide a Docker image at this time, will provide in mid-2026. You wouldn't need Docker because everything will be available on the cloud. For a private on-premises setup, we would need time till mid 2026, and that would move our focus away from the current problem. The cloud version will have | -|| |Pre-indexed sample Substrate repository, docs, blogs, forums -|| | Documentation showing how to add new repositories and configure parsing rules, -|| | Health check endpoint and basic monitoring. +| **0d.** | Docker | Provide a full Docker containers UI to manage everything. The containers connect to Bytebell cloud APIs for indexing, storage, chunking, metadata generation, and chat analytics. From this UI you can index new sources, remove sources, run the container on your premises, and your team can ask technical questions with Bytebell. Includes all polkadot technical stack and deployment docs. | | **0e.** | Article | Technical writeup on parsing Substrate's architecture and maintaining version-accurate context across runtime upgrades. Audience: Polkadot SDK developers. | | 1. | Substrate-Aware Ingestion Engine | Custom parser understanding Substrate project structure: pallet organization, runtime configs, FRAME patterns, trait implementations. Extracts relationships between pallets, maps dispatchable calls to implementations, tracks storage items and hooks. | -| 2. | Extended Documentation Corpus | Index comprehensive Polkadot ecosystem resources: Polkadot Wiki, docs.polkadot.com, Substrate documentation, parachain-specific guides (Moonbeam, Astar, Acala, HydraDX, Phala), technical RFCs, and community tutorials. Total: 100+ documents with receipts to exact sections. | -| 3. | Embeddable Query Widget | JavaScript component for documentation sites with sub-2 second response times. Features: receipt-backed answers, source highlighting, configurable styling, mobile responsive. Handles 20+ concurrent users without performance degradation. | -| 4. | Content Management Dashboard | Admin panel for documentation maintainers: add/update/remove indexed sources, trigger re-indexing of specific repositories, monitor indexing status, view citation accuracy metrics. New resources indexed within 10 minutes of submission. | +| 2. | Extended Documentation Corpus | Index comprehensive Polkadot ecosystem resources: Polkadot Wiki, docs.polkadot.com, Substrate documentation, technical RFCs, and community tutorials. Total: 1000+ documents with receipts to exact sections. | +| 3. | Embeddable Query Widget | A widget component for documentation sites with sub-2 second response times. Features: receipt-backed answers, source highlighting, configurable styling, mobile responsive. Handles 20+ concurrent users without performance degradation. | +| 4. | Content Management Dashboard | Admin panel for documentation maintainers: add/update/remove indexed sources, trigger re-indexing of specific repositories, monitor indexing status, view citation accuracy metrics. New resources indexed within 30 minutes of submission. You will be able to access the admin panel at app.bytebell.ai with user credentials given to you at the start of the Milestone. | +| 5. | Automated Documentation Pipeline | GitHub Actions workflows triggering on pushes to monitored branches (main, develop, release/*). Auto-regenerate API references, code examples, and integration guides when underlying code changes. Webhook-based triggers for real-time updates. Documentation generated within 15 minutes of commit. +| 6. | Governance Proposals | When answering questions about protocol functionality, include: links to governance proposals that enacted changes. Example citation: "Nomination pools introduced in runtime 9340 (block 13,654,321, Referendum 241)". | +| 7. | MCP-compliant server | Integrates with Claude Desktop, Cursor IDE, and other MCP-compatible tools. Responds to queries within 3 seconds. Auto-detects Substrate code contexts and provides relevant parachain-specific information. **Acceptance Criteria:** - Widget successfully embedded on Polkadot documentation sites within 2s initial load - Admin dashboard enables content updates with re-indexing completed in less than 10 minutes - Extended corpus covers 100+ documents with ≥99% citation accuracy rate - System maintains performance with 20+ simultaneous users querying different topics - ---- - -### Milestone 2 — Runtime Version Tracking & Developer Workflow Integration - -- **Estimated duration:** 1 month -- **FTE:** 2 -- **Costs:** 7,000 USD in DOT - -**User Stories:** -- "What changed in the Staking pallet between runtime 9430 and 9340?" -- "How does nomination pool work in the latest Polkadot runtime version?" -- "Show me all the code changes related to OpenGov in the last 3 months" -- "Which runtime version introduced XCM v3 and what breaking changes did it include?" -- "How do I upgrade my parachain runtime without a hard fork?" - -**Deliverables:** - -| Number | Deliverable | Specification | -| -----: | ----------- | ------------- | -| **0a.** | License | Apache 2.0 | -| **0b.** | Documentation | Guide for setting up MCP client integration with popular development environments. Documentation on querying by runtime version, filtering by block ranges, and interpreting on-chain context in answers. Tutorial on automated documentation workflows. | -| **0c.** | Testing Guide | Integration tests for: RPC node connectivity, runtime version extraction, block/extrinsic lookups, automated documentation regeneration workflows, real-time GitHub sync. Tests verify correct version binding in citations. | -| **0d.** | Docker | We will not provide docker image at this stage but will provide a cloud version that will have: -|| | Runtime version tracking module, -|| | MCP server integration, -|| | Sample queries demonstrating version-aware context retrieval | -| **0e.** | Article | Case study showing how runtime version awareness prevents outdated answers, with examples of queries that span multiple Polkadot runtime upgrades. Technical audience. | -| 1. | Model Context Protocol Server | MCP-compliant server for Polkadot ecosystem queries. Integrates with Claude Desktop, Cursor IDE, and other MCP-compatible tools. Responds to queries within 3 seconds. Auto-detects Substrate code contexts and provides relevant parachain-specific information. | -| 2. | Runtime Version Intelligence | Track runtime versions from on-chain data via RPC integration. Map code changes to specific runtime upgrades. Answer queries like "how did staking work in runtime 9430" or "what changed between runtime 1002000 and 1002001". Include runtime version, block height, and upgrade proposal references in citations. | -| 3. | Real-Time Repository Ingestion | Continuous GitHub ingestion pipeline for Polkadot core repos, Substrate, Cumulus, and major parachains. Incremental indexing updates within 5 minutes of new commits, PRs, or issues. Support for querying specific branches, commit ranges, and PR diffs. Integration with GitHub API for metadata (authors, timestamps, linked issues, review comments). | -| 4. | Automated Documentation Pipeline | GitHub Actions workflows triggering on pushes to monitored branches (main, develop, release/*). Auto-regenerate API references, code examples, and integration guides when underlying code changes. Webhook-based triggers for real-time updates. Documentation generated within 15 minutes of commit. | -| 5. | Governance Proposals | When answering questions about protocol functionality, include: links to governance proposals that enacted changes. Example citation: "Nomination pools introduced in runtime 9340 (block 13,654,321, Referendum 241)". | - -**Acceptance Criteria:** - MCP server integrates successfully with Cursor and Claude Desktop, less than 3s query response time - Automated documentation generation completes within 15 minutes of code commits to tracked branches - Generated docs include tested code examples validated against current codebase version -- Webhook triggers fire successfully for ≥95% of qualifying commits -- Runtime version tracking accurately identifies behavior changes across 10+ major upgrades -- New commits indexed and queryable within 5 minutes of repository push -- Bytebell accurately answers questions about PRs merged in the last 48 hours -- System processes 100+ repository updates daily without indexing queue buildup --- -### Milestone 3 — Analytics Dashboard & User Insights +### Milestone 2 — Analytics Dashboard & User Insights - **Estimated duration:** 1 month - **FTE:** 0.5 -- **Costs:** 4,000 USD in DOT +- **Costs:** 4,000 USD **User Stories:** @@ -426,23 +328,16 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu | **0a.** | License | Apache 2.0 | | **0b.** | Documentation | Analytics dashboard user guide covering all metrics, filters, and export options. Privacy policy documentation for user tracking and data retention. | | **0c.** | Testing Guide | Performance tests for dashboard under load (10,000+ queries). Tests for authentication flows, data export functionality, and real-time updates. Privacy control validation. | -| **0e.** | Article | Case study showing how runtime version awareness prevents outdated answers, with examples of queries that span multiple Polkadot runtime upgrades. Technical audience. | -| **0d.** | Docker | No Docker yet but cloud deployment with analytics dashboard including: -|| | Complete analytics platform with sample data, -|| | User authentication system configured, -|| | Export functionality for reports, -|| | Documentation for deploying and customizing the dashboard, -|| | API documentation for integrating with external monitoring tools. | -| **0e.** | Article | Insights report analyzing first 30 days of query patterns: top topics, knowledge gaps identified, geographic distribution, citation effectiveness. Recommendations for documentation improvements. | -| 1. | Comprehensive Analytics Platform | Dashboard displaying: query volume and trends over time, topic clustering and frequency analysis, geographic user distribution (based on timezone/IP), session metrics (duration, queries per session, return rates), most frequently asked questions, unanswered query patterns, citation click-through rates, answer acceptance and feedback scores, parachain-specific query breakdowns. Real-time updates with configurable date ranges and cohort filters. | -| 2. | User Authentication System | Optional login via GitHub OAuth and email/password. Anonymous usage tracking with privacy controls. Authenticated users can save query history and preferences. less than 5 second authentication flow. Compliant with GDPR and data privacy regulations. | -| 3. | Knowledge Gap Intelligence | Automated identification of: top 30 most-asked questions, queries with low citation rates (potential documentation gaps), topics with high search volume but limited indexed content, trending questions (spike detection), comparative analysis across parachains and protocol features. | -| 4. | Exportable Reporting | Generate reports in CSV and JSON formats including: complete query logs with timestamps, citation sources and click-through data, user engagement metrics and session data, topic clusters and frequency counts, geographic distribution summaries. Reports generated on-demand or scheduled automatically. | +| **0d.** | Docker | Provide a full Docker containers UI to manage everything. The containers connect to Bytebell cloud APIs for indexing, storage, chunking, metadata generation, and chat analytics. From this UI you can index new sources, remove sources, run the container on your premises, and your team can ask technical questions with Bytebell. Includes all the polkadot technical stack and deployment docs. The new image will have the analytics dashboard, chat analytics and knowledge gap intelligence. +| **0e.** | Article | Insights report analyzing first 30 days of query patterns: top topics, knowledge gaps identified, geographic distribution, citation effectiveness. Recommendations for documentation improvements. API documentation for integrating with external monitoring tools.| +| 1. | Comprehensive Analytics Platform | Dashboard displaying: query volume and trends over time, topic clustering and frequency analysis, geographic user distribution (based on timezone/IP), session metrics (duration, queries per session, return rates), most frequently asked questions, unanswered query patterns, citation click-through rates, answer acceptance and feedback scores. Real-time updates with configurable date ranges and cohort filters. | +| 2. | Knowledge Gap Intelligence | Automated identification of: top 30 most-asked questions, queries with low citation rates (potential documentation gaps), topics with high search volume but limited indexed content, trending questions (spike detection), comparative analysis across parachains and protocol features. | +| 3. | Exportable Reporting | Generate reports in CSV and JSON formats including: complete query logs with timestamps, citation sources and click-through data, user engagement metrics and session data, topic clusters and frequency counts, geographic distribution summaries. Reports generated on-demand or scheduled automatically. | **Acceptance Criteria:** -- Analytics dashboard processes 15,000+ queries with less than 3s load time for any view + +- Analytics dashboard processes queries with less than 3s load time for any view - Top 30 most-asked questions identified automatically with ≥90% accuracy -- GitHub OAuth authentication completes in less than 5 seconds with proper error handling - Geographic analytics show user distribution across ≥20 countries during pilot - Exportable reports include all specified metrics with granular filtering options - Dashboard identifies ≥10 clear documentation gaps based on query patterns @@ -450,13 +345,14 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu --- -### Milestone 4 — Maintenance & Ecosystem Impact Assessment +### Milestone 3 — Maintenance & Ecosystem Impact Assessment - **Estimated duration:** 9 months - **FTE:** 0.5 -- **Costs:** 4,000 USD in DOT +- **Costs:** 6,000 USD **User Stories:** + - "As ecosystem leadership, I want a comprehensive impact report demonstrating ROI and developer satisfaction to justify continued investment." - "As a potential adopter in another ecosystem, I want quantified benefits and case studies to evaluate Bytebell for our project." - "As the grants committee, I want evidence of developer adoption, usage patterns, and measurable outcomes to assess project success." @@ -468,28 +364,23 @@ We want to build Polkadot-specific features that make sense for the ecosystem bu | **0a.** | License | Apache 2.0 | | **0b.** | Documentation | Complete operational guide for Polkadot ecosystem teams to manage Bytebell independently. Includes: infrastructure requirements, scaling guidelines, maintenance procedures, troubleshooting workflows, cost projections. | | **0c.** | Testing Guide | Stress tests demonstrating system stability under production load. Uptime monitoring validation. Performance benchmarks for various query types and load scenarios. | -| **0d.** | Docker | The final production-ready cloud version, as well as the Docker image that you can deploy on-premises or anywhere in the cloud, is available. Please note that if you would like to host the Polkadot developer copilot in-house, we would need GPUs installed at your premises. -|| 1 | Complete Bytebell system optimized for Polkadot ecosystem, -|| 2 | All milestones integrated, -|| 3 | Full documentation for self-hosting and maintenance, -|| 4 |Deployment configurations for cloud and on-premises setups, -|| 5 |Backup and disaster recovery procedures. Image suitable for long-term ecosystem deployment. | +| **0d.** | Docker | Milestone specific modules included inside the containers UI are monitoring and alerting, analytics and export, impact reporting with templated KPI dashboards and PDF or CSV export, backup and restore, configuration manager for sources schedules and retention, privacy controls with redaction and data purge, release snapshot and diff viewer for version aware answers,, and health and diagnostics with status checks added on top of the docker image provided at Milestone 2 | | **0e.** | Article | Public impact report with key findings, case studies, and future roadmap. Additional internal comprehensive report for W3F with detailed metrics, cost analysis, and sustainability recommendations. | -| 1. | Complete Impact Assessment | Report including: total queries processed, unique active users, query resolution rate and accuracy, average time-to-answer vs traditional support channels (forum posts), documentation gap analysis with prioritized recommendations, developer satisfaction survey results (NPS, CSAT scores), time-to-first-contribution metrics for new developers, support ticket deflection rates for covered topics. Includes 3-4 detailed case studies of parachain teams or individual developers showing concrete onboarding acceleration and productivity improvements. | +| 1. | Complete Impact Assessment | Report including: total queries processed, unique active users, query resolution rate and accuracy, average time-to-answer vs traditional support channels (forum posts), documentation gap analysis with prioritized recommendations, developer satisfaction survey results (NPS, CSAT scores), time-to-first-contribution metrics for new developers, support ticket deflection rates for covered topics. Includes 3-4 detailed case studies of individual developers showing concrete onboarding acceleration and productivity improvements. | | 2. | Production-Ready System | Polkadot.bytebell.ai deployed with 99.5% uptime over final 9 months. Production monitoring, logging, and alerting infrastructure. Automated backup and disaster recovery procedures. Load balancing supporting 100+ concurrent users. Performance optimizations ensuring less than 4s p95 latency for complex queries. | | 3. | Sustainability Plan | Detailed document covering: projected infrastructure costs at various usage scales (100, 500, 1000+ daily active users), recommended maintenance schedule and staffing requirements, monitoring and alerting best practices, suggested update cadence for indexed content, cost reduction strategies and optimization opportunities, path to community-managed operations. | | 4. | Knowledge Transfer Package | Complete handoff materials enabling Polkadot ecosystem teams to operate independently: administrative guides and operational runbooks, troubleshooting documentation and FAQ, training session recordings for key personnel, direct support channel for first 90 days post-delivery, open-sourced components (Substrate parser, MCP server) with contribution guidelines. | **Acceptance Criteria:** -- System successfully handled ≥30,000 total queries with ≥92% citation accuracy rate + +- System successfully handled queries with ≥96% citation accuracy rate - Average query resolution time less than 3s (p95 latency) for production traffic - Documented case studies show median time-to-first-PR for new contributors reduced by ≥25% - Developer satisfaction survey shows ≥75% would recommend Bytebell to other Polkadot developers -- System maintained 99.5% uptime during final 3-month period - Support ticket volume for indexed topics reduced by ≥35% in participating teams - Complete documentation enables ecosystem teams to maintain and operate Bytebell independently - Sustainability plan includes realistic cost projections validated against actual usage data -- Geographic reach spans ≥25 countries based on query analytics +- Geographic reach countries based on query analytics - Knowledge transfer completed with at least 2 ecosystem team members trained **What "Maintenance + Automatic Feature Rollout" Means**: @@ -497,13 +388,12 @@ During these 9 months, the Bytebell team will: - Monitor system performance and uptime (99.5%+ target) - Respond to bug reports and technical issues -- **Automatically deploy new features developed for our core platform, including**: +- Automatically deploy new features developed for our core platform - **Team context features**: Workspace-specific knowledge graphs, team permission management - **Enhanced user histories**: Personalized query history, learning patterns, context carryover between sessions - **Custom-trained models**: Polkadot/Substrate-specific fine-tuned models for improved accuracy - **Advanced retrieval techniques**: As we improve our RAG pipeline, Polkadot deployment benefits automatically -Any other product improvements shipped to our production platform **Community Engagement Requirements**: @@ -517,24 +407,25 @@ Any other product improvements shipped to our production platform ## Future Plans **Short term (3-6 months post-grant):** + - Gather feedback and iterate on Substrate-specific features - Ship IDE plugins (VS Code, IntelliJ) with Polkadot-aware features - Present at Sub0 or Polkadot Decoded to drive adoption **Long-term maintenance:** -We're building Bytebell as a sustainable SaaS business. During the 12-month grant period, the Polkadot deployment will be completely free for the entire ecosystem. During this period, all parachain teams, individual developers, core contributors, and community members will have unrestricted access to the full feature set—including private repo integration, analytics, and priority support—at no cost. +We're building Bytebell as a sustainable SaaS business. During the 12-month grant period, the Polkadot deployment will be completely free for the entire ecosystem. During this period, Polkadot, individual developers, core contributors, and community members will have unrestricted access to the full feature set—including private repo integration, analytics, and priority support—at no cost. After the initial grant-funded year, we'll transition to a sustainable model: Free tier: Public repos and ecosystem docs (always free for individual developers) -Team tier ($1200/month): Private repos, team analytics, priority support for commercial parachain teams +Team tier ($999/month): Private repos, team analytics, priority support for commercial Polkadot team Enterprise: Custom deployments, SSO, SLAs for larger organizations However, we're committed to keeping the core Polkadot ecosystem deployment accessible. Educational institutions, open-source projects, and individual developers will continue to have free access beyond the first year. **Growth strategy**: -Start with parachain DevRel teams (they feel this pain most) +Start with Polkadot DevRel teams (they feel this pain most) Expand to core protocol contributors Partner with Polkadot educational programs (Polkadot Blockchain Academy, etc.) Build corpus of "best practices" that compound as more teams use it @@ -543,7 +434,7 @@ Open source the Substrate parser and some core components to drive adoption **Free Access Period (Months 1-12)** During the 12-month grant period, the Polkadot deployment will be completely free for the entire ecosystem. This includes: -- All parachain teams (commercial and non-commercial) +- Polkadot (commercial and non-commercial) - Individual developers - Core protocol contributors - Community members @@ -568,13 +459,12 @@ Full feature access at no cost: - For: Individual developers, students, open-source projects - Total 10 million tokens per month -**Team Tier ($1,500/month)**: +**Team Tier ($999/month)**: - Private repository integration - Team analytics and insights - Priority support - Advanced features -- For: Commercial parachain teams and startups - Total 200 million tokens per month @@ -588,12 +478,15 @@ Through the Polkadot ecosystem. I've been following Substrate development for ye **Additional context:** -We've already invested 8 months building Bytebell and have paying customers. This grant isn't about proving the concept—it's about making Bytebell work specifically for Polkadot's unique needs. The Substrate-specific features we're building (pallet awareness, runtime version tracking, on-chain context) wouldn't make sense for our Ethereum or ZK customers, but they're critical for Polkadot. +We've already invested 8 months building Bytebell and have paying customers. This grant isn't about proving the concept—it's about making Bytebell work specifically for Polkadot's unique needs and developing more features to help technical teams to move fast. The Substrate-specific features we're building (pallet awareness, runtime version tracking, on-chain context) wouldn't make sense for our Ethereum or ZK customers, but they're critical for Polkadot. We're also committed to giving back to the ecosystem. Parts of our Substrate parser and the MCP server will be open sourced so other tools can build on them. **Why we're a good bet:** -- We've already shipped a working product (not vaporware) +- We've already shipped a working product (not vaporware) i.e + ethereum.bytebell.ai [36+ github repos, 1000+ pages blogs, ZK research papers 200+] + modular.bytebell.ai [16+ github repos, 1000+ pages blogs, 15+ third party packages] + - We have paying customers proving people want this - We've built in Web3 infrastructure before (Polygon, Biconomy) - We're realistic about timelines and scope @@ -603,4 +496,3 @@ We're also committed to giving back to the ecosystem. Parts of our Substrate par Funding to focus on Polkadot integration for 3 months. We'll continue maintaining our existing customer deployments, but this grant lets us dedicate engineering time to ecosystem-specific features that benefit everyone. Happy to answer any questions or do a live demo of the current system. Just reach out to saurav@bytebell.ai. -```