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2,184 products · 10,616 snapshots
Jev by Typesafe

Jev by Typesafe

Early signal

System One model for typed decisions, not chat

Launched 2d ago
Signal
26
Velocity
0

What this means

20%Vote pace is below typical for AI Agents.
Running at 20% of comparable launches.
+600%Launching in a 600% WoW growing category.
API had 42 launches this week vs 6 last.
18Founder Conviction Index: 18 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability
3%
today
Projected end-of-day votes
10range 8–14
Trajectory
stable
Vote pace holding steady.
Speed vs peers
0.2×
28 AI Agents launches

About

Jev is TypeSafe AI's first 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. Early access via the waitlist on typesafe.ai.

AI Summary

Jev by Typesafe is a System One model that converts unstructured input into typed probabilistic decisions, providing outputs such as Choice, Score, and Noul with calibrated probabilities. It offers rapid response times of 70-500ms and is significantly more cost-effective than traditional LLM workflows.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement0
Discussion per unit of attention

Editorial read

Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.

ThinLittle evidence and no strong angle. Nothing to build on yet.
125/8
Timeliness5%89
carried 7%
Novelty15%79
carried 20%
Trend20%50
carried 27%
Story20%0
carried 27%
Business15%0
carried 20%
Not measured · 3 of 8
Revenue10%—
Founder10%—
Cross-platform5%—

Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.

measuredmeasured, zeronot measured
Full audit →

Signal sources

3 of 6 active
  • Launch tracking9 readings since we picked it up
  • AI analysisAI Agents
  • Comment intelligenceno discussion to analyse
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoring0% evidence coverage

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.

Founders

Erik Gafni
Erik Gafni
@erik_gafni
rep 17
KP
@thisiskp_ · hunter

Topics

Developer ToolsArtificial IntelligenceAPI