FahadBinHussain /

SpotStory

Python desktop and web app that generates visual story images from Spotify track information

A new way for AI to search for data
View on GitHub
0GitHub stars
19commits on main
0forks

Python 66.1%, HTML 33.9% · created 2025-01-18 · last push 2026-05-22

What XERJ indexed

Snapshot

Whole repository

The whole repository at commit 9cfb7c14b5. It is the newest commit on main.

Selected work

Fahad
@FahadBinHussain

Licence

The repository

MIT

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

The XERJ corpus

MIT, with credit

The owner added it on hub.xerj.org after signing in with GitHub, on 2026-10-29. 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

creative-toolsdesktop-appimage-generationmusicpythonspotify

Example questions

The prompt

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

Search the GitHub repository FahadBinHussain/SpotStory with XERJ (https://hub.xerj.org/corpus/fahadbinhussain--spotstory).
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/FahadBinHussain/SpotStory SpotStory && git -C SpotStory checkout 9cfb7c14b5cf6f60d99dece6184a5de545d7ea3a
3. Start a local node and leave it running: xerj --insecure --data-dir ./xerj-data
4. xerj autoindex ./SpotStory --url http://127.0.0.1:9200 --prefix spotstory --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

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Stats: GitHub API, fetched 2026-10-29. Selected work and consent: the XERJ registry.