Earlybird
Strong signal29M-param speech-to-text that outputs words before they end
Launched 1d ago
Signal
63
Velocity
0
What this means
6.1×Growing 6.1× faster than the typical AI Agents launch.
Compared to 3 AI Agents launches at the same age.
31%Mid-tier finish likely.
Projecting attention of 91 by end of day-1.
18Founder Conviction Index: 18 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
Prediction
Top-5 finish probability
31%
today
Projected end-of-day votes
91range 68–123
Trajectory
stable
Vote pace holding steady.
Speed vs peers
6.1×
3 AI Agents launches
About
Earlybird is a 29M-parameter, 17 MB on-device speech-to-text model that predicts each word correctly about 90 ms before the speaker finishes it, with a confidence on every word. Built for voice agents that need to act sooner. Open weights and code.
AI Summary
Earlybird is a 29M-parameter, 17 MB on-device speech-to-text model that predicts words approximately 90 ms before they are spoken, achieving around 90% accuracy. It is designed for voice agents requiring prompt responses and is available as open-source with accessible weights and code.
Attention & discussion velocity
Performance
Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement11
Discussion per unit of attention
Signal sources
2 of 6 active- Launch tracking8 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.