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.
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.
Navigate to the Papers tab to see today’s recommendations.
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.
Click the “View” button in any paper to open the interactive explorer:
Details tab – Find resource links, get high level summaries.
When available, the paper viewer will include a “Configure Experiment” button which will enable you to run a GitRank experiment. Click to configure and move the experiment card to the “Launch” column to expand additional details before launching a job.
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.
The experiment card will be able to be launched once you’ve included your target repo in which to create a PR. Make sure to store your write-enabled Github PAT token under “Account” (username button in bottom left menu) > “API Access”.
Once complete, move the experiment to the “Ship” column to view the results. If the PR generation is successful, you will see a preview of the PR changes in the viewer, along with a link to the PR in Github. If the experiment partially completes, it will include the Dockerfile which recreates the environment of the experimental codebase from the selected paper.
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.