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2,635 products · 12,414 snapshots
Hyrax AI

Hyrax AI

Strong signal

The AI architect for your entire codebase

Launched 8h ago
Signal
69
Velocity
0

What this means

2.1×Growing 2.1× faster than the typical AI Agents launch.
Compared to 11 AI Agents launches at the same age.
38%Mid-tier finish likely.
Projecting attention of 172 by end of day-1.
Low discussion activity despite the attention.
Audience is voting but not engaging — could signal weak product-market fit.
+182%Launching in a 182% WoW growing category.
Artificial Intelligence had 666 launches this week vs 236 last.
24Founder Conviction Index: 24 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability
38%
today
Projected end-of-day votes
172range 129–232
Trajectory
stable
Not enough snapshots yet to detect trajectory.
Speed vs peers
2.1×
11 AI Agents launches

About

Code review tools tell you what’s wrong with a PR. Hyrax finds what should improve across your entire codebase and does the work. It builds deep context around your architecture and conventions, prioritizes issues across six engineering domains, writes each fix in context, verifies it against your tests and checks, and opens a GitHub PR for your team to review and merge.

AI Summary

Hyrax AI is an artificial intelligence tool that analyzes and improves entire codebases by identifying and addressing issues across six engineering domains. It automates the process of writing fixes, verifying them against tests, and creating GitHub pull requests for team review.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement6
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.
135/8
Timeliness5%100
carried 7%
Trend20%50
carried 27%
Novelty15%31
carried 20%
Business15%4
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

Aaron Morin
Aaron Morin
@aaronmorin
rep 25
Ben Lang
@benln · hunter

Topics

Developer ToolsArtificial IntelligenceGitHub