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system-one-open

Open replica of TypeSafe's Jev: typed calibrated decisions in one forward pass, on Gemma 4 E2B / Gemma 3 270M (Modal)

Details

External ID
1374004718
Source
GITHUB
Company
—
Product
system-one
Website domain
github.com
Launched
Sept. 17, 2026
Cohort
—
Upvotes
25
Upvotes percentile
0.6742890084550346
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
single-pass calibrated decision framework for lightweight llms
Manually corrected
False

Could you build this?

Partial Setting up Modal pipelines and serving open models is straightforward, but fine-tuning Gemma models to achieve calibrated single-pass decision-making requires specialized statistical calibration data and training scripts.

What it would actually take: A full reproduction requires setting up Modal serverless GPU infrastructure hosting fine-tuned Gemma checkpoints (270M and 2B parameters). The challenging part is the calibrated probability estimation and constrained decoding mechanism (replicating TypeSafe's Jev framework) which relies on conformal prediction, Platt scaling, or specific logit calibration techniques over domain-specific structured outputs. It requires machine learning expertise in calibrated uncertainty estimation and structured LLM outputs.

Competitors

Other products that read as similar to this one — 1305 launches clear the similarity bar, closest 8 shown.

Attention rank: #465 of 1306 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 321 days after the earliest competitor.

Other launches for this product

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