cornercase

Early signal

The fastest way to run agents in parallel

Launched 29d ago

Signal

Velocity

What this means

50%Vote pace is below typical for AI Agents.

Running at 50% of comparable launches.

15Founder Conviction Index: 15 — low signal.

Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability

today

Projected end-of-day votes

6range 5–8

Trajectory

stable

Vote pace holding steady.

Speed vs peers

0.5×

220 AI Agents launches

About

A fast terminal multiplexer for coding agents. Turn GitHub, GitLab, Linear, Jira, Plane or Shortcut issues into running Claude Code, Codex or Gemini agents in a click. Each agent gets its own git worktree and tab. See which agent needs you, review the diff as it's written, and close the window: they keep running Away from your desk? Continue from your phone or on Telegram. Everything works with clicks. Really fast: 34 ms launch, 53 MB RAM. Free and open source. Linux and macOS.

AI Summary

Cornercase is a fast terminal multiplexer designed for running coding agents in parallel, integrating with platforms like GitHub and Jira. It operates with low latency (34 ms launch time) and minimal resource usage (53 MB RAM), and is available as free and open-source software for Linux and macOS.

Attention & discussion velocity

Performance

Velocity0

Vote pace vs average

Momentum0

Sustained over 6h

Virality0

Spread × engagement

Engagement—

not measured

Signal sources

2 of 6 active

Launch tracking9 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 scoringbelow the signal threshold for this pass

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