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  • Beyond the launch
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  • Content Desk
  • Editorial QA
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Lab
  • Metric Bench
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8,139 products · 38,995 snapshots
ej

ej

Notable signal

An 11MB local model for typed decisions in one pass

Launched 1d ago
Signal
51
Velocity
0

What this means

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
17%
today
Projected end-of-day votes
64range 48–86
Trajectory
rising
Steady upward velocity sustained.
Speed vs peers
0.8×
3 AI Agents launches

About

I built ej for a narrower problem than general classification: given some state and a set of decision questions whose options can be defined at runtime, return a probability distribution for each question in one pass. It handles choice, yes/no, and ordered scores, runs on CPU, needs no token generation, and ships as one 11.4 MB model file. The repo includes training, evaluation, adaptation, packed weights, and the benchmark harness.

AI Summary

ej is an 11.4 MB local AI model designed for efficient decision-making, providing probability distributions for various decision questions in a single pass. It operates on CPU without the need for token generation and includes comprehensive resources for training and evaluation.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement3
Discussion per unit of attention

Editorial read

ej offers an 11.4 MB local model for decision-making.

InvestigateRanks high on little evidence. Worth a look, but verify before committing.
205/8
Surprising

signal 51 out of 100; 11.4 MB local model.

Timeliness5%96
carried 7%
Novelty15%83
carried 20%
Story20%75
carried 27%
Trend20%30
carried 27%
Business15%2
carried 20%
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 tracking7 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.

Founders

Saket Bhushan
@5ak3t
rep 22
Saket Bhushan
@5ak3t · hunter

Topics

Artificial IntelligenceGitHubOpen Source