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What's Happening in AI

20 companies active · 282 events in the last 24h

Nvidia

#5
Product Launch

📰 Nvidia Surpasses $5 Trillion Market Cap, Becomes World’s Most Valuable Company Nvidia has officially become the first company in history to reach a $5 trillion market valuation, fueled by explosive demand for AI chips and its dominance in generative AI infrastructure. The milestone, confirmed by market data and financial analy... # AINews # AI # Teknoloji # MachineLearning # Haber 🔗 https:// aihaberleri.org/news/en/news/n vidia-surpasses-5-trillion-market-cap-becomes-worlds-most-valuable-company

77%
21events

OpenAI

#1
Product Launch

Introducing GPT-5.3-Codex-Spark openai.com/index/introduc… #AI #OpenAI

76%
123events

Airbnb

#255
Product Launch

Airbnb plans to bake in AI features for search, discovery and support

76%
3events32

xAI

#10
Product Launch

# AI leaders at OpenAI, xAI flee as doomsday scenario arrives axios.com/2026/02/12/ai-openai -agi-xai-doomsday-scenario

76%
4events

Bytedance

#12
Product Launch

Seedance 2.0: The Complete 2026 Guide to ByteDance's Revolutionary AI Video Generator

76%
15events

MiniMax

#35
Product Launch

📰 MiniMax M2.5 Shatters AI Cost Barriers with Open Weights, Threatens Western Pricing Models Chinese AI startup MiniMax has launched M2.5 and M2.5 Lightning-open-weight models matching state-of-the-art performance at just 5% of the cost of Claude Opus 4.6. The move signals a seismic shift in global AI economics, emp... # AINews # AI # Teknoloji # MachineLearning # Haber 🔗 https:// aihaberleri.org/news/en/news/m inimax-m25-shatters-ai-cost-barriers-with-open-weights-threatens-western-pricing-models

74%
4events

Hype Gap

🎯 AI Intelligence Highlights

🔥 OpenAI is DOMINATING with 528 events this week
📉 Fast.ai sentiment tanking at 10% - community is NOT happy
💩 Flock Safety talks 10% more than they ship
Zhipu AI quietly shipping - under-promise, over-deliver champion
Generated from real-time data • Updates every 5 minutes

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Data refreshes every 5 minutes

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Deep Analytics

Track trends and sentiment over time

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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(event_quality × sentiment × recency_weight)

Quality score filters out the noise. Sentiment tracks if it's good news or "oops we're having layoffs" news. Recency means old events matter less than new ones.

✓ 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
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Why Sector HQ vs Other AI Rankings?

Sector HQOther Rankings
Update Frequency
Every 5 minutes
Monthly/Quarterly
Data Sources
212 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.

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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.

1

Event Collection

We monitor 212 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.

2

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.

3

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.

4

Ranking Algorithm

Companies are scored across 5 dimensions, weighted by time-decayed event activity:

Score = Σ[(Innovation × 25% + Adoption × 25% + Market Impact × 20% + Media × 15% + Technical × 15%) × Time Decay]
Innovation (25%): Product launches, breakthroughs, novel capabilities
Adoption (25%): User growth, integrations, developer ecosystem
Market Impact (20%): Funding, partnerships, acquisitions
Media Attention (15%): Press coverage, community discussion
Technical (15%): Research papers, benchmarks, open source
Sentiment and Hype/Reality are tracked separately as supplementary signals.
5

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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