vibecap

Free Open-Source caption maker. Powered by Groq Whisper for transcription and FFmpeg for audio extraction and caption

A new way for AI to search for data
View on GitHub
1GitHub stars

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit b4a5355a22.

Selected work

Amr Hasanain
@amrhasanain

Licence

The repository

Apache-2.0

LICENSE file checked at the pinned commit; the author agreed to inclusion.

The XERJ corpus

Apache-2.0, with credit

The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-31. 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

clicli-toolffmpeggroqgroq-whisperopensourcepythonpython3

Example questions

The prompt

Paste it into your AI agent. It clones amrhasanain/vibecap at the pinned commit and indexes it on your machine.

Search the GitHub repository amrhasanain/vibecap with XERJ (https://hub.xerj.org/corpus/amrhasanain--vibecap).
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/amrhasanain/vibecap vibecap && git -C vibecap checkout b4a5355a222db0c8e13f8577b0ee4c61ffc06048
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./vibecap --url http://127.0.0.1:9200 --prefix vibecap --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: Apache-2.0. Keep the copyright notice and credit the authors.

Related

Selected work and consent: the XERJ registry.