rizzo-flow
The open, local take on Jev: typed decisions from an LLM, without generating a single token
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GITHUB · launched Sep 21, 2026 · 455 upvotes (top 2%) · 1 view
Niche: machine learning developer tools · 303 launches, 11 in the last 7 days ▼ -45% · Explore this niche →
Category and tags
- Horizontal
- Agent / copilot
- Developer
- AI-native
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 303 launches in machine learning developer tools →
Could you build this?
Yes Classifying or constraining LLM decisions without sampling tokens (by computing single-forward-pass log probabilities over restricted token vocabularies using llama.cpp or vLLM) is straightforward to build via existing local inference libraries.
Competitors
Other products that read as similar to this one : 2922 launches clear the similarity bar, closest 8 shown.
Attention rank: #48 of 2923 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 327 days after the earliest competitor.
- jevals · hn · 2026-09-20 · 47 upvotes · similarity 0.80
- awesome-jev-typesafe · github · 2026-09-18 · 129 upvotes · similarity 0.76
- litjev · github · 2026-09-17 · 36 upvotes · similarity 0.76
- AnyJev · github · 2026-09-21 · 648 upvotes · similarity 0.75
- sarvam-jev · github · 2026-09-18 · 50 upvotes · similarity 0.74
- Gutsy · hn · 2026-10-06 · 7 upvotes · similarity 0.73
- system-one-open · github · 2026-09-17 · 25 upvotes · similarity 0.72
- hermes-nerve · github · 2026-09-18 · 13 upvotes · similarity 0.72
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.