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OpenJev

OpenJev: Open-source alternative to TypeSafe Jev. Typed probabilistic decision API (Choice, Noul, Score) powered by open LLMs & constrained logprob calibration.

Details

External ID
1377725938
Source
GITHUB
Company
—
Product
OpenJev
Website domain
github.com
Launched
Sept. 20, 2026
Cohort
—
Upvotes
27
Upvotes percentile
0.6958109146810146
Tags
—
Fetched at
Sept. 24, 2026, 5:02 p.m.
Updated at
Sept. 24, 2026, 5:02 p.m.

Enrichment

Theme
decision model runtimes and tools
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
open-source typed probabilistic decision api using open llms
Manually corrected
False

Could you build this?

Partial A basic wrapper around open-weights LLMs for classification is straightforward, but implementing exact constrained logprob extraction and mathematical confidence calibration across diverse open models requires non-trivial inference engineering.

What it would actually take: Requires an inference server setup (vLLM, TGI, or llama.cpp) exposing token-level log probabilities, structured decoding engines (like Outlines or Guidance), and statistical temperature scaling/isotonic regression calibration modules. Vibe coders can handle the API interface, but low-level logprob extraction and calibration math require ML systems expertise.

Competitors

Other products that read as similar to this one — 387 launches clear the similarity bar, closest 8 shown.

Attention rank: #191 of 388 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 246 days after the earliest competitor.

Other launches for this product

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