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Launching Jan 11–17, 2027

This launch is approved and scheduled. The page and its dofollow backlink are live now - it joins the weekly drop in its launch week.

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SigRank SignalAF

SigRank SignalAF

The evaluation platform for AI operators.

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Details

Launched

August 28, 2026

Category

AI & Machine Learning

Pricing

Free

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About SigRank SignalAF

SigRank evaluates human operators using AI tools, ranking them based on their efficiency in utilizing AI capabilities. It focuses on the human factor rather than the AI models themselves, analyzing a range of metrics derived from canonical token telemetry. Operators can access the platform to check their performance across various metrics without sharing prompt content or sensitive data, keeping their information private.

What SigRank SignalAF does

SigRank is an evaluation platform that ranks AI operators based on their efficiency in using AI tools. It calculates a composite metric called Yield, derived from token telemetry, to assess how effectively each operator utilizes AI capabilities. The platform supports a range of AI tools and provides insights on operator performance across different time windows. Users install the SigRank agent locally, which reads their AI session logs to derive essential token metrics. These metrics are used to calculate their Yield and submit their scores to the leaderboard without compromising privacy, as only token counts are transmitted. SigRank is designed for AI operators who want to measure their efficiency and improve their usage of AI tools. It is particularly useful for those using various AI platforms to optimize their operations and understand their performance in comparison to others.

Based on signalaf.com, read on Sep 16, 2026.

Key features

  • Ranks AI operators by efficiency
  • Supports 17 AI tools
  • Privacy-preserving token telemetry
  • Public REST API available
  • Free during build stage

What people use SigRank SignalAF for

  1. 01Submit token telemetry
  2. 02Check operator efficiency
  3. 03View leaderboard rankings
  4. 04Analyze token data
  5. 05Run local scanner

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