MuscleMemory
Quiet signalGive AI agents memory of what actually worked
Launched 29d ago
Signal
18
Velocity
21
What this means
30%Vote pace is below typical for this category.
Running at 30% of comparable launches.
20Founder Conviction Index: 20 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
Prediction
Top-5 finish probability
10%
today
Projected end-of-day votes
2range 2–3
Trajectory
stable
Not enough snapshots yet to detect trajectory.
Speed vs peers
0.3×
229 comparable launches
About
AI agents solve problems, forget what worked, and repeat the same work. MuscleMemory fixes that. It's an open-source procedural memory layer that turns successful agent runs into reusable, test-verified skills. Skills require repeated passing tests and human approval before reuse. Failed attempts become warnings, not trusted solutions. Works with Claude Code, Codex, Cursor, and MCP-compatible agents. In Benchmarks: 30% fewer tool calls, 25% fewer input tokens, with the same task success rate.
Attention & discussion velocity
Not enough snapshots yet. Run the snapshot worker every 15 min to build the time-series.
Performance
Pace needs two or more snapshots. This launch has 1, so velocity and momentum read as unmeasured rather than zero.
Velocity—
not measured
Momentum—
not measured
Virality—
not measured
Engagement—
not measured
Signal sources
1 of 6 active- Launch tracking1 reading 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.