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  • Beyond the launch
Intelligence
  • Content Desk
  • Editorial QA
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Lab
  • Metric Bench
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9,264 products · 44,383 snapshots
withHuman

withHuman

Strong signal

A open-source human approval layer for AI Agents

Launched 8h ago
Signal
64
Velocity
0

What this means

17Founder Conviction Index: 17 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability
22%
today
Projected end-of-day votes
85range 64–115
Trajectory
stable
Not enough snapshots yet to detect trajectory.

About

withHuman is an approval layer for AI agents. It intercepts your agents’ tool calls before they run. Rules approve or deny routine calls automatically, and risky ones go to the right person on your team. It works across Claude Code, Codex and agents built with LangGraph, Pydantic AI and more, through an open protocol (AAP). One set of rules for every agent your company runs. Open source, with a hosted version.

AI Summary

withHuman is an open-source approval layer for AI agents that intercepts tool calls, automating routine approvals and routing risky requests to designated team members. It supports various AI frameworks through an open protocol and offers both self-hosted and hosted versions.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement16
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.
95/8
Timeliness5%100
carried 7%
Trend20%31
carried 27%
Business15%9
carried 20%
Novelty15%3
carried 20%
Story20%0
carried 27%
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 tracking2 readings since we picked it up
  • AI analysisAI Agents
  • Comment intelligencethread not yet analysed
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoring23% 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

Ece Kayan
Ece Kayan
@ece_kayan
rep 23
Chris Battarbee
@chrisbattarbee · hunter

Topics

Developer ToolsArtificial IntelligenceGitHubOpen Source