Open-source AI Trading OS, agent trading, and vibe trading, with Jev System One integration. Research, build Python strategies, backtest, and paper/live trade across crypto, stocks, and forex. Launch your own multi-tenant trading SaaS with built-in user management, billing, payments, and settlement.
hn-oracle
Can a typed decision model find every prediction ever made on Hacker News, with calibrated probabilities, for under $3,000? A pre-registered pilot with Jev.
Project facts
- Relationship to Jev
- Jev application
- Evidence
- Documented
- Language
- Python
- License
- MIT
- Origin
- Original repository
- Repository status
- Not archived
- Created
- 2026-09-23
- GitHub stars
- 0
- Evidence checked
- 2026-09-24T08:40:10.508Z
- Metadata checked
- 2026-09-24T08:40:10.508Z
- Check status
- current
Stars measure the whole repository, including work unrelated to Jev.
Evidence and scope
Documented records the linked documentation or source. JevHunt has not independently run or benchmarked this project.
On 2026-09-23 I ran Jev (`jev-1.13.0`) on 20 real comments from the uniform sample, one per request, then again with 16 per request, plus 5 comments asked 3 times with a random nonce. That's 37 requests for well under a cent. With no labels yet, none of this is a result; it's a check that the instrument works and a first read on where to look.
Evidence commit: 5d41baf5450cd1221b515457c4690b3d0014a75b
Discovered through: github-search.
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