The open-core AI workbench — notebooks, agents, RAG, voice, and images across any model: OpenAI, Anthropic, Google, xAI, or local via Ollama/vLLM. BSL 1.1, auto-converting to Apache-2.0 on a two-year clock. Your AI keeps running when theirs doesn't.
C-Rank Grade: S (Elite) - 77/100
External PR Merge Rate: 81%
Response Time: 4h
First Timer Success: 81%
Bike4Mind/bike4mind has a recorded first-timer success rate of 81.5%. Repositories ranked S typically provide actionable feedback during code reviews and actively nurture new community contributors.
Maintainers in Bike4Mind/bike4mind respond to incoming external pull requests in approximately 3.9 hours on average. Keeping PRs focused on single tasks and ensuring tests pass helps maintainers review faster.
The C-Rank™ system evaluates GitHub projects on a 0–100 scale using real data: PR merge rates, review turnaround time, active maintainer presence, and first-time contributor success. A score of 77.4 places Bike4Mind/bike4mind in the S tier.
The external contributor pull request merge rate for Bike4Mind/bike4mind is 80.5%, based on public PR activity from non-core contributors.
Bike4Mind/bike4mind currently has 1 active issue(s) tagged with beginner-friendly labels like "good first issue", "beginner", or "up-for-grabs".
The open-core AI workbench — notebooks, agents, RAG, voice, and images across any model: OpenAI, Anthropic, Google, xAI, or local via Ollama/vLLM. BSL 1.1, auto-converting to Apache-2.0 on a two-year clock. Your AI keeps running when theirs doesn't.
Collaborative maintainer environment in Bike4Mind/bike4mind. Reviews community pull requests with focus on project quality.
Average Response Latency
Tracks hours until a maintainer leaves a review, comment, or PR response.
External Acceptance Rate
Percentage of community pull requests successfully merged into main.
First PR Conversion
Rate at which developers submitting their first repository PR succeed.
Show contributors that your repository actively reviews and merges external pull requests.
[](https://getmerged.abhishekco.de/Bike4Mind/bike4mind?utm_source=github&utm_medium=badge)
Historical health & responsiveness evolution
External PR acceptance
First PR success rate
50% receive response in
90% receive response in
Maintainer review activity heatmap & prime window prediction
Calculating local time...
Calculating local time...
Detected: UTC
Maintainers are most responsive around 10:00 UTC (10:00 UTC in your timezone). Recommended submission window is Tuesday - Thursday from 05:00 to 09:00 UTC (05:00 - 09:00 UTC local).
Maintainer Strategy: Maintainer Sweet Spot: PRs under 150 lines merge in ~4 hours (96% approval). Large PRs (>500 lines) take ~19 hours (36% approval). Keep your diff compact for rapid review.
What lattice_set_value (b4m-core/services/src/llm/tools/implementation/lattice/index.ts) reports success: true with a message claiming the value was written, even when it wrote nothing. When the named entity is not in the model, the lookup const entity = model.data.entities.find(e => e.id === entityId || e.name === entityName); if (entity) { // ... mutate and persist } else { context.logger.warn(`[Lattice] Entity ${entityName} not found in model ${modelId}`); } only logs a warning. Control then falls through to the tool's unconditional tail: return JSON.stringify({ success: true, action: 'SET_VALUE', modelId, data: { entityName, attributeKey, value }, message: `Set ${entityName}.${attributeKey} = ${value}`, }); So a no-op is indistinguishable from a real write. Every sibling failure in this tool returns success: false (access denied, model not found); only the entity miss does not. How it surfaces Found during QA of PR #3114 (thanks @gsreyson). As the model owner, one mes
For the DevOps team. This is a one-time Actions-secret configuration on Bike4Mind/bike4mind. No code change, no deploy required. Everything you need is below; the ask itself is step 3. TL;DR E2E_CLEANUP_SECRET exists as a repo secret on Bike4Mind/bike4mind-deployer but was never mirrored into Bike4Mind/bike4mind, which is where the e2e workflows read it from. Because of that, every preview-targeted e2e run executes zero tests. Copy the same value into Bike4Mind/bike4mind as a repo secret under the same name. WarningDo not generate a fresh random value for Bike4Mind/bike4mind. It must be byte-identical to the deployer's value. The deployer writes that one value into every stage's SST secret at deploy time, and the running app compares against it. A new random here would authenticate against nothing and leave the suite exactly as broken, just with a different error. What this secret is for It is the shared bearer token for the e2e test-support API - four endpoints under apps/client/pa
Context The docked chat exposes three separate layout controls - float / dock-right / dock-bottom - via ChatPanelControls (apps/client/app/components/Session/ChatPanelControls.tsx:18 activeLayout: 'dockRight'|'dockBottom', :20 showFloat), rendered in DockedChatPanel.tsx:61-64. Three buttons for one "choose layout" decision is more than needed. Where apps/client/app/components/Session/ChatPanelControls.tsx (the three controls). apps/client/app/components/Session/DockedChatPanel.tsx:61-64 (usage). How (proposed) Collapse the three into a single dropdown button (a small menu: Float / Dock right / Dock bottom) that reflects and sets the current layout. Acceptance A single control switches between float / dock-right / dock-bottom; the current layout is indicated. Notes Not Data-Lake-specific (general docked-chat polish).
Rate what actually matters after opening a pull request here.
Rate your first-hand PR experience (review speed, maintainer responsiveness, and onboarding ease) to help other contributors.
When evaluating whether to contribute to Bike4Mind/bike4mind, response velocity and maintainer engagement are crucial. GetMerged continuously tracks pull request trajectories, first-comment latency, and code review rounds to help developers avoid submitting pull requests to backlogged repositories.
Currently, maintainers of Bike4Mind/bike4mind acknowledge new external contributions in approximately 3 hours. Out of all submitted pull requests from non-core authors in the last 180-day window, 80.5% were successfully merged into the primary branch.
Bike4Mind/bike4mind has a recorded first-timer success rate of 81.5%. Repositories ranked Elite typically provide actionable feedback during code reviews and actively nurture new community contributors.
The initial maintainer response time averages ~3 hours. Keeping PRs scoped to single concerns and ensuring CI checks succeed will optimize review turnaround.
The C-Rank™ index scores repositories on a 0 to 100 scale using an objective formula: external PR merge rates, initial response speed, active maintainer count, and first-time contributor retention. A score of 77.4 places Bike4Mind/bike4mind in the Elite tier.
The external pull request merge rate is 80.5%. GetMerged isolates non-core community contributions so external developers get an accurate benchmark of PR acceptance probability.
Yes, Bike4Mind/bike4mind currently has 1 active issue(s) tagged with beginner-friendly labels. You can inspect these directly from the repository issues tab.
All metrics displayed for Bike4Mind/bike4mind are automatically retrieved via the public GitHub API and recalculated daily. Insider pull requests submitted by repository owners or organization members are excluded from merge rate calculations to preserve objective external contributor statistics.