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Jev

Fast, structured AI decisions for software automation

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Jev is TypeSafe AI's System One frontier model: unstructured state in, typed probabilistic decisions out. Instead of generating text, Jev returns Choice, Score, and Noul answers with calibrated probabilities your code can act on. Parallel sampling delivers ~70-500ms responses, about 20-200x faster and 40-400x cheaper than comparable LLM workflows, with output tokens free. Now available to everyone at console.typesafe.ai with no waitlist.

PH · launched Sep 21, 2026 · 281 upvotes (top 1%) · 0 views

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

Category and tags

  • Horizontal
  • Workflow automation
  • Developer
  • AI-native
  • Commercial product
  • API
  • Developer Tools
  • Artificial Intelligence

Visit website ↗ Source listing ↗

Could you build this?

No Jev is a proprietary frontier probability model trained specifically for structured classification, scoring, and sub-second calibrated outputs rather than standard autoregressive text generation.

What it would actually take: Creating this requires training or extensively fine-tuning small to mid-sized transformer architectures with custom non-autoregressive heads trained specifically on massive structured decision and classification datasets. Calibrated probability distributions require specialized temperature scaling, Platt scaling, and loss functions (e.g., Brier score optimization) hosted on custom high-concurrency Triton/TensorRT inference servers.

Competitors

Other products that read as similar to this one : 440 launches clear the similarity bar, closest 8 shown.

Attention rank: #6 of 441 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 284 days after the earliest competitor.

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