AI Company Rankings & Leaderboard
Tracking 563 AI companies, ranking the top 100 by signal strength across 223 verified sources
Updated just now • Updates every 5 minutes
Right Now in AI
See all activity →What's Happening in AI
20 companies active · 294 events in the last 24h
Amazon
#8AI Weekly: Feb 11-17, 2026
Apple
#7Apple's Foundation Models Framework: Run AI On-Device With Just a Few Lines of Swift
Alibaba
#9Alibaba's new Qwen 3.5 beats its larger trillion-parameter model - at a fraction of the cost
OpenAI
#1OpenClaw for Developers: Building Solo-Dev Companies
Meta
#6Nvidia’s Deal With Meta Signals a New Era in Computing Power
Nvidia
#5Nvidia’s Deal With Meta Signals a New Era in Computing Power
Hype Gap
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How This Works
We track AI-related events from Reddit, arXiv, GitHub, company blogs, tech news, and other places where actual AI stuff happens. Not just press releases.
Scoring Formula
Score = Σ[(Innovation × 25% + Adoption × 25% + Market Impact × 20% + Media × 15% + Technical × 15%) × Time Decay]Events are scored across 5 dimensions with time decay — recent activity matters more than old news. Sentiment and Hype/Reality are tracked separately as supplementary signals.
✓ What We Track
- → Product launches (actual demos)
- → Research papers (arXiv, journals)
- → GitHub activity (real code)
- → Partnerships (with substance)
- → Funding rounds (validated)
- → Hiring/layoffs (market signals)
✗ What We Ignore
- → Vague press releases
- → "Exploring AI" announcements
- → Repackaged old news
- → Executive quotes about AI
- → Generic "AI strategy" posts
- → Marketing without product
Why Sector HQ vs Other AI Rankings?
| Sector HQ | Other Rankings | |
|---|---|---|
| Update Frequency | Every 5 minutes✅ | Monthly/Quarterly❌ |
| Data Sources | 223 verified sources✅ | Press releases only❌ |
| Hype Detection | Marketing vs Reality✅ | No hype analysis❌ |
| Ranking Basis | Actual activity & code✅ | Funding & PR❌ |
| Companies Tracked | 100+ companies✅ | Top 10-50 only❌ |
No bias, no pay-for-ranking. Our rankings are 100% algorithmic, based on real activity from GitHub, arXiv, Reddit, and tech communities. We measure what companies do, not what they say.
How We Rank AI Companies
Our proprietary algorithm analyzes real-time activity to rank companies by what they're actually doing, not what they're saying.
Event Collection
We monitor 223 verified sources including GitHub repositories, arXiv research papers, Reddit discussions, Hacker News, tech news sites, and product launches. Every 5 minutes, we scan for new activity.
Signal Processing
Our AI filters out marketing fluff, press release spam, and duplicate content. We focus on substantive events: code commits, research publications, product releases, and genuine community engagement.
Hype Detection
We compare marketing claims (blog posts, announcements) against actual technical activity (GitHub commits, research citations). Companies with high "Hype Gap" talk more than they ship.
Ranking Algorithm
Companies are scored across 5 dimensions, weighted by time-decayed event activity:
Real-Time Updates
Rankings refresh every 5 minutes. No human bias, no pay-for-ranking, no editorial interference. Pure algorithmic transparency.
Why trust our rankings? Unlike traditional lists compiled by journalists or based on funding rounds, our system is fully automated and measures real developer activity, research output, and community sentiment—the true signals of AI innovation.
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