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litjev

Turn any off-the-shelf LLM into a Jev -like decision layer

Details

External ID
1374794531
Source
GITHUB
Company
—
Product
litjev
Website domain
github.com
Launched
Sept. 17, 2026
Cohort
—
Upvotes
36
Upvotes percentile
0.7620420189597745
Tags
—
Fetched at
Sept. 21, 2026, 5:02 p.m.
Updated at
Sept. 21, 2026, 5:02 p.m.

Enrichment

Theme
decision model runtimes and tools
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
decision layer adapter for large language models
Manually corrected
False

Could you build this?

Partial Wrapping standard LLM APIs to output typed schemas and calibrated confidence scores is codeable, but implementing true logit-level calibration or non-autoregressive decision layers requires machine learning expertise.

What it would actually take: Requires ML systems knowledge to extract token logit distributions from open-weight LLM runtimes (vLLM, Ollama), apply temperature scaling or Platt scaling for uncertainty calibration, and enforce strict grammar-based decoding (via GBNF or Outlines) to guarantee typed outputs.

Competitors

Other products that read as similar to this one — 1494 launches clear the similarity bar, closest 8 shown.

Attention rank: #348 of 1495 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 323 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a model & infra tool for Fintech yet.