ContextGem 1.0
Notable signalDecision models join LLMs to extract data from documents
Launched 16d ago
Signal
59
Velocity
0
What this means
7×Growing 7× faster than the typical AI Agents launch.
Compared to 160 AI Agents launches at the same age.
Decaying
Vote pace down to 4% of launch speed.
21Founder Conviction Index: 21 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
3.8×Founder historically performs 3.8× the median launch we track.
Best prior launch: omerta, attention 93.
Prediction
Top-5 finish probability
14%
today
Projected end-of-day votes
83range 62–112
Trajectory
decaying
Vote pace down to 4% of launch speed.
Speed vs peers
7×
160 AI Agents launches
About
New in 1.0: decision models next to LLMs. They answer closed questions with the probability of each answer, fast and at a low cost, and a model group sends each question to the model that suits it. Also new: Docling for your files, and tools for agents.
AI Summary
ContextGem 1.0 integrates decision models with large language models (LLMs) to efficiently extract data from documents by providing probabilistic answers to closed questions. The update includes a new feature, Docling, for file management and enhanced tools for agent-based interactions.
Attention & discussion velocity
Performance
Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement7
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.