>Linear vs Thinking Machines Lab
Linear AI Company Profile & Rankings • Thinking Machines Lab AI Company Profile & Rankings
AI Activity Comparison
Linear
Linear Technology Corporation was a semiconductor company that designed, manufactured, and marketed high-performance analog integrated circuits. Its product portfolio included over 7,500 items, organized into categories such as data conversion, signal conditioning, and power management. The company's components were used in a wide range of applications, including telecommunications, automotive electronics, industrial instrumentation, and military systems. A notable product was LTspice, a freely available SPICE simulation software with schematic capture. Founded in 1981 and headquartered in Milpitas, California, the company was acquired by Analog Devices in March 2017 for $14.8 billion. The Linear Technology name is maintained as the 'Power by Linear' brand for the combined power management portfolios of the two companies.
Thinking Machines Lab
Thinking Machines Lab Inc. is an American artificial intelligence startup and public benefit corporation based in San Francisco. Founded in February 2025 by former OpenAI chief technology officer Mira Murati, the company develops AI technology and infrastructure. In July 2025, it completed a $2 billion early-stage funding round led by Andreessen Horowitz, achieving a $12 billion valuation with investments from Nvidia, AMD, Cisco, and Jane Street. The company launched Tinker, an API for fine-tuning open-weight language models on its internal infrastructure, in October 2025. Thinking Machines Lab's initial team included several high-profile researchers from OpenAI, Meta AI, and Mistral AI, though it has subsequently experienced significant executive departures back to competitors.
Based on 7 events tracked for Linear over the past 30 days (3 in the past 7 days), updated in near real-time.
Linear versus Thinking Machines Lab: Live 2026 Comparison
Linear leads in development velocity with 3 events this week (3.0x more than Thinking Machines Lab), while Thinking Machines Lab holds the edge in community sentiment at 50% positive. This comparison draws on 4 tracked events from the past 7 days — including product launches, research papers, and community discussions — scored through our 5-dimension scoring methodology. Our Hype Gap analysis shows Linear has more authentic positioning (gap: -5.8) compared to Thinking Machines Lab (7.5). Data refreshes every 5 minutes. Compare other AI companies →
Linear vs Thinking Machines Lab: Key Signals
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Linear vs Thinking Machines Lab: Head-to-Head
| Metric | Linear | Thinking Machines Lab |
|---|---|---|
| Rank | #80 | #58 |
| Overall Score | 13.1 | 18.3 |
| 7-Day Events | 3 | 1 |
| 30-Day Events | 7 | 5 |
| Sentiment | 43% | 50% |
| Momentum 7d vs 30d velocity | 0% | +430% |
| Hype Score | 11.0 | 7.5 |
| Reality Score | 16.8 | 0.0 |
| Hype Gap | -5.8 | +7.5 |
📊 Visual Comparison
Compare 5 key metrics on a 0-100 scale. Larger area = stronger overall performance.
Metric Definitions:
What Separates Linear from Thinking Machines Lab
Who Ships Faster: Linear or Thinking Machines Lab?
Linear logged 3 events this week vs Thinking Machines Lab's 1 — a 3.0x difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 1.4x (7 vs 5), suggesting this gap is widening.
What Users Think of Thinking Machines Lab vs Linear
Thinking Machines Lab has 50% positive sentiment vs Linear's 43%. The 7-point gap is modest, meaning both have comparable community trust.
Does Linear Deliver on Its Promises?
Linear's hype gap of -5.8 vs Thinking Machines Lab's 7.5 means Linear delivers on its promises — marketing claims closely match actual capabilities.
Where Thinking Machines Lab and Linear Rank
Thinking Machines Lab at #58 outranks Linear at #80 among 2,800+ AI companies. The 22-rank gap reflects different market tiers and adoption levels.
Linear vs Thinking Machines Lab: Momentum Trend
Thinking Machines Lab is accelerating (430% velocity growth) while Linear is flat — a diverging trend worth watching.
Latest Signals: Linear vs Thinking Machines Lab
Latest tracked events for each company — product launches, research papers, community discussions, and more.
Linear(3 events this week)
Linear adopts agentic AI as CEO declares issue tracking dead
• The RegisterAccurate and Efficient Multi-Channel Time Series Forecasting via Sparse Attention Mechanism
• ArXiv AI (cs.AI)The Review Gap
• Dev.to AI TagLoom vs Linear: A tale of two AI-cities
• Hacker News Newest🔗 Article: Ryan welcomes Tom Moor, head of engineering at Linear, to
• The Stack Overflow Podcast
Thinking Machines Lab(1 events this week)
The Dispersal
• Dev.to AI TagThinking Machines Lab: $120M Valuation Per Employee and the Nvidia Gigawatt Deal
• Dev.to Machine Learning TagMira Murati’s Thinking Machines strikes multibillion chip deal with Nvidia - Financial Times
• Google News - AI GeneralThe New AI Moat: Why Compute Access Is Now More Important Than Talent
• Dev.to AI TagNvidia makes 'significant investment' in Mira Murati's Thinking Machines Lab
• CNBC Technology
Trending Topics: Linear vs Thinking Machines Lab
Linear
Thinking Machines Lab
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Analysis: Linear vs Thinking Machines Lab
Thinking Machines Lab (#58) leads Linear (#80) by 22 ranks, reflecting a meaningful difference in overall market position and activity.
Thinking Machines Lab is gaining momentum (430% velocity increase) while Linear is holding steady, signaling potential change in this matchup.
Sentiment is closely matched — Thinking Machines Lab edges out at 50% vs 43%, suggesting comparable community trust. Linear maintains more authentic positioning with a hype gap of -5.8, compared to Thinking Machines Lab's 7.5 — a key signal for evaluating long-term reliability.
Watch for: Linear's latest signal ("Linear adopts agentic AI as CEO declares issue tracking dead") and Thinking Machines Lab's ("The Dispersal") could shift this matchup.
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Why Compare Linear vs Thinking Machines Lab?
Leader vs Challenger
Thinking Machines Lab (#58) has established market position, while Linear (#80) is 22 ranks behind. This comparison shows the gap between market leaders and aspiring competitors.
Who Compares Linear and Thinking Machines Lab
Enterprise Buyers
Comparing market leader against emerging alternative to balance stability vs innovation.
"Thinking Machines Lab for enterprise-grade reliability, Linear for cutting-edge features."
Key Differences Between Linear and Thinking Machines Lab
- **Substance**: Linear demonstrates higher reality-to-hype ratio, delivering more than they promise.
Choosing Between Linear and Thinking Machines Lab
Consider Linear if you value:
- • Higher development activity
- • Higher substance-to-hype ratio
Consider Thinking Machines Lab if you value:
- • Proven market leadership (#58)
- • Stronger community sentiment
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