jev-calibrate
Calibrate Jev questions against your own labels: tune criteria on labelled examples, confirm on a held-out set, get a verdict per question. Unofficial.
Details
- External ID
- 1379612416
- Source
- GITHUB
- Company
- —
- Product
- jev-calibrate
- Website domain
- github.com
- Launched
- Sept. 21, 2026
- Cohort
- —
- Upvotes
- 32
- Upvotes percentile
- 0.7396233666410453
- Tags
- calibration, classification, cli, evals, holdout, jev, llm-evaluation, openrouter, typesafe, typescript
- Fetched at
- Sept. 25, 2026, 5:02 p.m.
- Updated at
- Sept. 25, 2026, 5:02 p.m.
Enrichment
- Theme
- local AI inference and runtimes
- Vertical
- Horizontal
- Function
- Observability & eval
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- evaluation calibration tool for jev questions
- Manually corrected
- False
Could you build this?
Yes This is a prompt tuning and evaluation harness that runs labeled datasets against an LLM/question engine, calculates performance metrics, and verifies outputs on a test split.
Competitors
Other products that read as similar to this one — 104 launches clear the similarity bar, closest 8 shown.
Attention rank: #42 of 105 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 15 days after the earliest competitor.
- Jev Config Generator · ph · 2026-09-29 · 1 upvotes · similarity 0.51
- jevk5 · github · 2026-09-22 · 111 upvotes · similarity 0.45
- SelfJev · ph · 2026-09-30 · 72 upvotes · similarity 0.44
- jevmeter · github · 2026-09-17 · 78 upvotes · similarity 0.44
- open-jev · github · 2026-09-20 · 33 upvotes · similarity 0.44
- jev-reviewer · github · 2026-09-18 · 32 upvotes · similarity 0.44
- open-medical-jev · github · 2026-09-25 · 38 upvotes · similarity 0.43
- TraceDocs · ph · 2026-09-30 · 1 upvotes · similarity 0.42
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a observability & eval tool for Media & entertainment yet.