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open-jev-typed-decision-engine

Open reproduction of TypeSafe Jev: a 150M typed decision engine (noul/choice/score in one non-autoregressive pass, calibrated confidence). 0.697 vs Jev's 0.727, 2.5x better calibrated, 4x faster, free. Trains on a Colab T4 in 30 min.

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GITHUB · launched Sep 19, 2026 · 43 upvotes (top 20%) · 0 views

Niche: machine learning developer tools · 303 launches, 16 in the last 7 days ▼ -6% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • Developer
  • AI-native
  • Hobby / open-source project
  • agent-observability
  • calibration
  • colab
  • decision-model
  • expected-calibration-error
  • huggingface
  • +12 more

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Could you build this?

No Developing a novel 150M-parameter typed decision engine capable of single-pass non-autoregressive inference and calibrated confidence requires deep ML research expertise.

What it would actually take: Building this requires designing a custom transformer or encoder architecture in PyTorch, developing multi-task training objectives (combining classification, regression, and temperature-scaled uncertainty calibration), and curating representative decision datasets. It requires advanced expertise in statistical learning, uncertainty quantification, and efficient neural network training.

Competitors

Other products that read as similar to this one : 460 launches clear the similarity bar, closest 8 shown.

Attention rank: #165 of 461 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 236 days after the earliest competitor.

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.