Premove ITN
Early signalOpen-source context-aware ITN for voice agents
Launched 2mo ago
Signal
36
Velocity
0
What this means
15Founder Conviction Index: 15 — 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
10range 8–14
Trajectory
stable
Vote pace holding steady.
About
Premove ITN is an open-source, context-aware inverse text normalizer built for voice agents. It turns messy ASR transcripts into structured values APIs can actually use: phone numbers, dates, times, amounts, IDs, emails, URLs, and more. Instead of generating normalized text directly, it deterministically produces valid candidates, uses a neural model to score them in sentence context, and applies exact decoding to choose compatible outputs. Open weights, Python package, real-time inference.
AI Summary
Premove ITN is an open-source, context-aware inverse text normalizer designed for voice agents, transforming ASR transcripts into structured data formats. It employs a neural model for scoring and exact decoding to generate valid outputs, available as a Python package for real-time inference.
Attention & discussion velocity
Performance
Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement60
Discussion per unit of attention
Signal sources
2 of 6 active- Launch tracking9 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.