Scoring Methodology

TL;DR: How We Rank AI Companies

Companies are scored across 5 dimensions: Event Volume (25%), Event Quality (25%), Sentiment (20%), Momentum (15%), and BS Detection (15%). Rankings update every 5 minutes based on real-time data from GitHub, arXiv, Reddit, and tech news—not press releases.

Overview

We track real AI activity across companies - not just press releases and marketing hype. Our scoring system evaluates five key dimensions to separate companies that are actually shipping from those just talking about it.

Rankings update continuously as new events are detected. We use proprietary data collection and quality filtering to ensure only meaningful activity affects scores.

Scoring Dimensions

Event Volume & Velocity

Weight: ~25%

How much is actually happening? We track product launches, research papers,GitHub activity, partnerships, funding, and hiring/layoffs.

Recent activity matters more than old news. Companies showing sustained momentum score higher.

Event Quality & Relevance

Weight: ~25%

Not all events are equal. Actual product demos beat vague announcements.Research papers with code beat executive quotes about AI strategy.

We filter out fluff, self-promotion, and repackaged old news automatically.

Market Sentiment

Weight: ~20%

What's the tone of coverage? Positive product launches, partnerships, and achievements score higher. Layoffs, scandals, and negative press hurt rankings.

Measured across news, social media, developer communities, and industry discussion.

Source Diversity

Weight: ~15%

One press release mentioned in 50 places isn't 50 events. We track whether activity comes from diverse, independent sources or just echo chambers.

Real momentum shows up across Reddit, arXiv, GitHub, tech news, and company blogs - not just one channel.

Recency & Momentum

Weight: ~15%

Last week matters more than last month. We apply time decay to ensure the leaderboard reflects current activity, not legacy achievements.

Companies that maintain consistent shipping velocity stay ranked higher than one-hit wonders.

How Scoring Works

Each dimension is calculated independently, then combined using weighted averages to produce a final score. Scores are normalized to 0-100 scale.

We apply proprietary quality filters, time decay functions, and source diversity penalties to ensure scores reflect genuine AI progress rather than marketing noise.

Rankings update every 5 minutes as new data flows in from our collection infrastructure.

What We Track

✅ Real Activity

  • → Product launches with actual demos
  • → Research papers on arXiv/journals
  • → GitHub activity and code releases
  • → Substantive partnerships
  • → Validated funding rounds
  • → Hiring/layoffs (market signals)

❌ Marketing Noise

  • → Vague press releases
  • → "Exploring AI" announcements
  • → Repackaged old news
  • → Executive quotes about strategy
  • → Generic AI blog posts
  • → Marketing without product

Our Principles

  • All companies evaluated with identical criteria - no special treatment
  • Rankings cannot be bought or gamed - we track what's actually happening
  • Updates every 5 minutes based on fresh data from multiple sources
  • High-level methodology shared publicly, implementation details proprietary

Last updated: 10/24/2025