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openJev-verdict-2.0

Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)

Details

External ID
1377115777
Source
GITHUB
Company
—
Product
openJev-verdict-2.0
Website domain
github.io
Launched
Sept. 19, 2026
Cohort
—
Upvotes
276
Upvotes percentile
0.9751473225723802
Tags
agentic-ai, brier-score, calibration, decision-engine, deep-learning, encoder, jev, machine-learning, modernbert, non-autoregressive, onnx, openjev, rlcd, selective-prediction, structured-outputs, system-one, text-classification, typesafe-ai, uncertainty-quantification, webgpu
Fetched at
Sept. 23, 2026, 5:02 p.m.
Updated at
Sept. 23, 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
non-autoregressive decision model for structured outputs
Manually corrected
False

Could you build this?

No This project is a custom-trained, non-autoregressive neural network decision model requiring specialized ML research, architecture design, and specific calibrated benchmark training.

What it would actually take: Building this requires designing a custom 151M-parameter non-autoregressive transformer or BERT-style architecture, curating a specialized dataset of typed decision trees, and training it using PyTorch with calibration loss functions (temperature scaling, Brier score optimization). This requires deep machine learning research expertise, GPU compute clusters, and non-autoregressive decoding theory.

Competitors

Other products that read as similar to this one — 410 launches clear the similarity bar, closest 8 shown.

Attention rank: #29 of 411 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 319 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.