ninelens
NineLens is an open-source baseball intelligence platform combining schedules, rosters, player profiles, box scores, season stats, and Statcast data into searchable player and team profiles, leaderboards, trends, benchmarks, game analysis, situational insights, and side-by-side comparisons: built for deeper research and better baseball decisions
What XERJ indexed
Snapshot
The whole repository at commit afb03d9f71 (2026-10-13). main is 98 commits ahead.
Selected work
“Refactored innings to outs calculations”. 10 files, 293 lines in backend.
Licence
The repository
LICENSE file checked at the pinned commit; the author agreed to inclusion.
The XERJ corpus
The author agreed by email on 2026-10-27. Same terms as the repository. Answers name the repo, the commit and the file:line.
selected for the XERJ Corpus Hublicence clearedsuggested use: adapt with attribution
baseballbaseball-analyticsbaseball-statisticsstatcastbaseball-datasabermetricsanalyticsmlb
Example questions
- How does ninelens implement baseball?
- Where does ninelens handle “Refactored innings to outs calculations”?
- What does backend do in ninelens?
Inside the indexed corpus
- Languages by size: Ruby 52.7%, Vue 21.6%, JavaScript 17.5%, HTML 5.5%, CSS 2.4%.
- On GitHub since 2026-06-04, last push 2026-10-30, 408 commits on main.
- The pin is 98 commits behind main; the corpus answers from the pinned code, not the newest.
Licence on GitHub and in the corpus
GitHub reported MIT for timothyf/ninelens on 2026-10-29, and the LICENSE file at commit afb03d9f71 was reviewed as MIT. They match, so answers from this corpus carry the same terms as the live repository.
Contributors
Timothy Fisher (@timothyf) has 1 selected repository on the hub.
Using XERJ with ninelens
- Search an OpenAPI spec so an agent can find endpoints The hub files it under API design and specification.
- Best grep alternative for AI coding agents (2026)
- Ask questions about a GitHub repo without cloning it
- Index a reference library for a coding agent
The prompt
Paste it into your AI agent. It clones timothyf/ninelens at the pinned commit and indexes it on your machine.
Search the GitHub repository timothyf/ninelens with XERJ (https://hub.xerj.org/corpus/timothyf--ninelens). Run these in a shell, in order, and check each result before the next: 1. xerj --help (success: it prints usage). If xerj is missing: curl -fsSL https://xerj.org/get | sh 2. git clone https://github.com/timothyf/ninelens ninelens && git -C ninelens checkout afb03d9f717e3cc2d2d1d419c1ba95b09cbf268f 3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data 4. xerj autoindex ./ninelens --url http://127.0.0.1:9200 --prefix ninelens --progress plain 5. xerj autoindex map --url http://127.0.0.1:9200 Then answer my question from the indexed files and cite the ax_path of every hit. Query syntax: https://xerj.org/llms.txt Licence: MIT. Keep the copyright notice and credit the authors.
Related
Timothy FisherAPI design and specification corporaduckdbxerj-columnarfluentdsebasclarkv/baseball-analyzerfetijashari/permission_forgeClickHouse/ClickHouse
Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.