Liquid Inference
Notable signalLLM router where providers compete for every prompt
Launched 1d ago
Signal
60
Velocity
0
What this means
16.6×Growing 16.6× faster than the typical AI Agents launch.
Compared to 3 AI Agents launches at the same age.
30%Mid-tier finish likely.
Projecting attention of 83 by end of day-1.
17Founder Conviction Index: 17 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
Prediction
Top-5 finish probability
30%
today
Projected end-of-day votes
83range 62–112
Trajectory
stable
Vote pace holding steady.
Speed vs peers
16.6×
3 AI Agents launches
About
* Fully compatible with agentic coding tools: Claude Code, Codex, OpenCode, Cursor, Pi, Cline, and many more. Full multi-modal support. * Hundreds of open- and closed-weight models. Create routing rule presets or use our Auto routing algorithms. * Providers compete dynamically on price for every prompt, offering the lowest marginal cost. * Sign up for free with email, first 500 users get $20 of free inference. Receive 20% of referred fees as free inference, 10% for second-level referrals.
AI Summary
Liquid Inference is an LLM routing platform that allows users to leverage multiple AI models while enabling providers to compete on pricing for each prompt. It supports various coding tools and offers dynamic routing algorithms, with incentives for user referrals.
Attention & discussion velocity
Performance
Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement10
Discussion per unit of attention
Editorial read
Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.
ThinLittle evidence and no strong angle. Nothing to build on yet.
135/8
Timeliness5%100
carried 7%
Novelty15%68
carried 20%
Trend20%33
carried 27%
Business15%5
carried 20%
Story20%0
carried 27%
Not measured · 3 of 8
Revenue10%—
Founder10%—
Cross-platform5%—
Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.
measuredmeasured, zeronot measured
Full audit →Signal sources
3 of 6 active- Launch tracking6 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 scoring13% evidence coverage
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.