SineFrame M3
Notable signalTest MCP servers and the agents that call them in pytest
Launched 3d ago
Signal
45
Velocity
3
What this means
10.2×Growing 10.2× faster than the typical Developer Infrastructure launch.
Compared to 36 Developer Infrastructure launches at the same age.
33%Mid-tier finish likely.
Projecting attention of 63 by end of day-1.
Rising steadily
Steady upward velocity sustained.
13Founder Conviction Index: 13 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
Prediction
Top-5 finish probability
33%
today
Projected end-of-day votes
63range 47–85
Trajectory
rising
Steady upward velocity sustained.
Speed vs peers
10.2×
36 Developer Infrastructure launches
About
Your MCP unit tests pass, but did the agent call the tool? M3 runs your server through real Claude Code, Codex, OpenCode or Pi and asserts on the calls they actually made, in plain pytest. Direct tests need no API key. m3 ui shows every trace and tool call; m3 ci test --upload gates PRs and keeps runs on app.m3.sineframe.com. Open source, Apache-2.0.
AI Summary
SineFrame M3 is an open-source testing tool that verifies MCP server interactions with agents using pytest, without requiring an API key. It provides a user interface for tracing calls and integrates with CI/CD workflows to manage pull requests.
Attention & discussion velocity
Performance
Velocity3
Vote pace vs average
Momentum3
Sustained over 6h
Virality5
Spread × engagement
Engagement10
Discussion per unit of attention
Signal sources
2 of 6 active- Launch tracking9 readings since we picked it up
- AI analysisDeveloper Infrastructure
- 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.
