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4,056 products · 19,252 snapshots
Token Forecaster

Token Forecaster

Notable signal

Forecast how long an LLM reply will run, before Enter

Launched 1d ago
Signal
54
Velocity
0

What this means

-25%Category cooling: Open Source.
Launches down 25% week-over-week.
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
16%
today
Projected end-of-day votes
65range 49–88
Trajectory
stable
Vote pace holding steady.
Speed vs peers
1.1×
11 Developer Infrastructure launches

About

Token Forecaster puts a range on an LLM reply before you press Enter: the usual length, and a worst case that held for 90.6% of 4,146 unseen calls. While the reply streams, it shows whether it is running long. It only watches and never changes the request. Learns from your local history. Open source, MIT.

AI Summary

Token Forecaster estimates the length of an LLM reply before submission, providing a typical and worst-case duration based on historical data from 4,146 calls. It monitors the reply duration in real-time without altering the request and is available as an open-source tool under the MIT license.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement6
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.
105/8
Timeliness5%94
carried 7%
Novelty15%46
carried 20%
Trend20%30
carried 27%
Business15%3
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 tracking8 readings since we picked it up
  • AI analysisDeveloper Infrastructure
  • 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

Luis Pinto
@corv0
rep 22
Luis Pinto
@corv0 · hunter

Topics

Developer ToolsArtificial IntelligenceGitHubOpen Source