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  • Editorial QA
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Lab
  • Metric Bench
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17,080 products · 83,012 snapshots
shad0w

shad0w

Early signal

System 0 for your LLM: repeat answers in microseconds

Launched 1mo ago
Signal
22
Velocity
27

What this means

20%Vote pace is below typical for AI Agents.
Running at 20% of comparable launches.
22Founder Conviction Index: 22 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability
12%
today
Projected end-of-day votes
3range 2–4
Trajectory
stable
Vote pace holding steady.
Speed vs peers
0.2×
221 AI Agents launches

About

shad0w watches your LLM answer the same small questions (which intent, which team, spam or not), learns the answers, and gives them back in microseconds. It only answers what it's proven to agree on; the rest goes to your LLM. Open source 🐍

AI Summary

shad0w is an open-source tool that enhances LLM performance by quickly responding to frequently asked questions with pre-learned answers, while routing other inquiries to the LLM. It operates on Google Cloud Run and integrates with GitHub for developer use.

Attention & discussion velocity

Performance

Velocity27
Vote pace vs average
Momentum27
Sustained over 6h
Virality41
Spread × engagement
Engagement—
not measured

Signal sources

2 of 6 active
  • Launch tracking3 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.

Founders

Gaurav Chauhan
@gaurav_chauhan24
rep 14
Gaurav Chauhan
@gaurav_chauhan24 · hunter

Topics

Google Cloud RunDeveloper ToolsArtificial IntelligenceGitHubOpen Source