jev-capability-atlas
Independent, evidence-based map of when TypeSafe's Jev actually holds up vs. breaks down — real API-call receipts, not a leaderboard. 中文為主的雙語 repo。
Details
- External ID
- 1376451596
- Source
- GITHUB
- Company
- —
- Product
- jev-capability-atlas
- Website domain
- github.com
- Launched
- Sept. 18, 2026
- Cohort
- —
- Upvotes
- 24
- Upvotes percentile
- 0.6626313092492954
- Tags
- ai-agents, benchmark, calibration, jev, llm-evaluation, machine-learning, typesafe, zh-tw
- Fetched at
- Sept. 22, 2026, 5:02 p.m.
- Updated at
- Sept. 22, 2026, 5:02 p.m.
Enrichment
- Theme
- decision model runtimes and tools
- Vertical
- Horizontal
- Function
- Observability & eval
- Audience
- Developer
- AI stance
- AI-native
- Project type
- Hobby / open-source project
- Normalized one-liner
- capability benchmarks and failure analysis for typesafe jev
- Manually corrected
- False
Could you build this?
Yes It is an evaluation map and bilingual documentation repository capturing API call logs and capability receipts, which is easily assembled and maintained with AI assistance.
Competitors
Other products that read as similar to this one — 209 launches clear the similarity bar, closest 8 shown.
Attention rank: #111 of 210 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 165 days after the earliest competitor.
- awesome-jev-usecases · github · 2026-09-17 · 15 upvotes · similarity 0.55
- jev-cookbook · github · 2026-09-19 · 20 upvotes · similarity 0.52
- jev-suite · github · 2026-09-22 · 33 upvotes · similarity 0.51
- jev-search · github · 2026-09-17 · 363 upvotes · similarity 0.51
- awesome-jev · github · 2026-09-18 · 106 upvotes · similarity 0.51
- jeview · github · 2026-09-21 · 53 upvotes · similarity 0.51
- awesome-jev-usecases · github · 2026-09-18 · 16 upvotes · similarity 0.50
- awesome-jev · github · 2026-09-22 · 441 upvotes · similarity 0.50
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.