Turn ideas into PRs with GitRank experiment generation
GitRank is your experiment autopilot that transforms research papers into tested implementations. It asynchronously surfaces high-potential ideas from ArXiv and other sources, then automatically generates containers, tests, and draft PRs so your team can evaluate what works and iterate faster.Why GitRank?
Traditional development workflows force you to context-switch between research and implementation. You find promising papers but lack time to test them all. Building environments and validating new codebases becomes a bottleneck that limits the number of ideas you can explore. GitRank changes this by:- Eliminating setup friction: Containerized reproductions of findings with Dockerfiles and pre-built images.
- Compounding progress: Each experiment builds on the last, creating institutional knowledge.
- Maintaining flow state: Asynchronous PR generation means you can focus on strategic testing instead of wrangling implementations.
Getting Started
Prerequisites
- GitHub repository with write access
- GitHub PAT token with write access
- Docker installed (for local testing)

The schedule runs daily. Paper matching relies on the Role and Interests fields in your profile—update them under Settings → Profile and the next day’s feed will reflect the change.
- Details tab – Find resource links, get high level summaries.
- Chat tab – ask questions, request summaries, or extract code snippets.

GitRank-eligible papers have pre-validated environments that we’ve verified build successfully. We’re continuously processing more papers - check back regularly for new additions.


Key Features
Proactive Discovery
GitRank doesn’t wait for you to search. It continuously surfaces relevant research and pre-validates implementations so you have a pipeline of tested ideas ready to evaluate.Repository-Aware Implementation
Unlike generic code generation, GitRank understands your:- Code structure and conventions
- Existing dependencies and tooling
- Project context and constraints
Team Collaboration
- Shared experiment board: See all active and completed experiments
- Async workflows: Team members can pick up and iterate on any experiment
- Knowledge persistence: Insights and learnings compound across experiments
What’s next?
Coming soon to Remyx:- Topic filters & mute tags: Control exactly what appears in your feed
- Citation graph: Visualize paper connections and research lineage
- Container registry integration: Deploy experiments directly to your infrastructure
- PR-based Agent collaboration: Iterate on experiments with AI assistance directly in GitHub
- Experiments board for end-to-end workflows
- Evaluation to benchmark new ideas fast
- Finetune when you’re ready to specialise a model