Gear: Scikit-learn for RSI
Quiet signalA modular framework for recursive harness evolution.
Launched 16d ago
Signal
17
Velocity
0
What this means
50%Vote pace is below typical for this category.
Running at 50% of comparable launches.
14Founder Conviction Index: 14 — 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
2range 2–3
Trajectory
stable
Not enough snapshots yet to detect trajectory.
Speed vs peers
0.5×
112 comparable launches
About
Gear is an open-source framework for recursive self-improvement of AI agent harnesses (prompts, tools, workflows, and context management). Built toward a scikit-learn for RSI, its modular architecture lets developers implement, compare, and extend optimization algorithms. With Gear, GPT 5.6 Luna reaches GPT 6 Astra-level performance: 88.9% vs. Astra + Codex’s 84.1% on AutomationBench’s public Marketing tasks.
Attention & discussion velocity
Performance
Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement—
not measured
Signal sources
1 of 6 active- Launch tracking2 readings since we picked it up
- AI analysisnot yet enriched
- 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.