>Linear vs Scale AI
Linear AI Company Profile & Rankings • Scale AI 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.
Scale AI
Scale AI, Inc. is a San Francisco-based company that provides data annotation, data labeling, and model evaluation services for the development of artificial intelligence applications. Its offerings include software and infrastructure to support AI development, primarily for computer vision and large language models (LLMs). The company operates a research division, the Safety, Evaluation and Alignment Lab, which focuses on evaluating and aligning LLMs. Scale AI's commercial clients have included Google, Meta, Microsoft, OpenAI, and General Motors. The company also engages in contracts with governments, including the United States for military projects. It was founded in 2016 by Alexandr Wang and Lucy Guo and is backed by investors including Index Ventures and Tiger Global Management.
Based on 4 events tracked for Linear over the past 30 days (2 in the past 7 days), updated in near real-time.
Linear versus Scale AI: Live 2026 Comparison
Linear and Scale AI are neck-and-neck in the AI rankings, separated by just 5 positions. Scale AI ships faster (4 events/week), while Linear has stronger community approval (43% positive). This comparison draws on 6 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: -2.9) compared to Scale AI (-0.9). Data refreshes every 5 minutes. Compare other AI companies →
Linear vs Scale AI: Key Signals
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Linear vs Scale AI: Head-to-Head
📊 Visual Comparison
Compare 5 key metrics on a 0-100 scale. Larger area = stronger overall performance.
Metric Definitions:
What Separates Linear from Scale AI
Who Ships Faster: Scale AI or Linear?
Scale AI logged 4 events this week vs Linear's 2 — a 2.0x difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 1.5x (6 vs 4), suggesting this gap is widening.
What Users Think of Linear vs Scale AI
Linear has 43% positive sentiment vs Scale AI's 22%. That 21-point gap is significant — it signals stronger user satisfaction and fewer community complaints about Linear.
Does Linear Deliver on Its Promises?
Linear's hype gap of -2.9 vs Scale AI's -0.9 means Linear delivers on its promises — marketing claims closely match actual capabilities.
Where Scale AI and Linear Rank
Scale AI at #94 outranks Linear at #99 among 2,800+ AI companies. With 5 ranks between them, they compete for similar market segments.
Linear vs Scale AI: Momentum Trend
Both companies show stable or declining momentum, suggesting a period of consolidation rather than rapid expansion.
About Linear and Scale AI
Linear
- Rank
- #99
- Score
- 10.6
- Website
- linear.app
Latest Signals: Linear vs Scale AI
Latest tracked events for each company — product launches, research papers, community discussions, and more.
Linear(2 events this week)
Accurate 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 PodcastShow HN: Lit - Linear and Git CLI in One
• Hacker News Show HN
Scale AI(4 events this week)
Scale AI launches Voice Showdown, the first real-world benchmark for voice AI - and the results are humbling for some top models
• Hacker News NewestAI Agents Fail 97.5% of Real Jobs: What 3 New Studies Reveal About Agent Reliability
• Dev.to AI TagScale AI Launches 'Voice Showdown' To Rival OpenAI, xAI, Anthropic In Voice AI Models - Benzinga
• Google News - AI GeneralClarifying Scale AI's ML Research Engineer Coding Interview Structure for Effective Preparation
• Dev.to Machine Learning TagA benchmark of expert-level academic questions to assess AI capabilities - Nature
• Hacker News Newest
Trending Topics: Linear vs Scale AI
Linear
Scale AI
No trending keywords available.
Analysis: Linear vs Scale AI
Scale AI currently holds the edge at #94, 5 positions ahead of Linear (#99), though the gap remains contestable.
Scale AI is shipping faster with 4 events this week, compared to Linear's 2.
Community sentiment diverges sharply: Linear at 43% positive vs Scale AI's 22%. Linear maintains more authentic positioning with a hype gap of -2.9, compared to Scale AI's -0.9 — a key signal for evaluating long-term reliability.
Watch for: Linear's latest signal ("Accurate and Efficient Multi-Channel Time Series Forecasting...") and Scale AI's ("Scale AI launches Voice Showdown, the first real-world bench...") could shift this matchup.
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Why Compare Linear vs Scale AI?
Direct Competitors
Scale AI leads at #94 while Linear is closing in at #99. With 5 ranks separating them, they're competing for similar market segments and developer mindshare.
Who Compares Linear and Scale AI
Tech Decision Makers
Evaluating which platform offers better ROI and developer experience for enterprise adoption.
"Choose Scale AI for proven scale, or Linear for potential agility advantage."
Developers & Builders
Choosing AI tools and platforms based on community sentiment, documentation quality, and ecosystem.
"Consider community feedback and integration ecosystem when making your choice."
Key Differences Between Linear and Scale AI
- **Community Perception**: Linear has notably stronger positive sentiment (21% higher).
Choosing Between Linear and Scale AI
Consider Linear if you value:
- • Stronger community sentiment
- • Higher substance-to-hype ratio
Consider Scale AI if you value:
- • Proven market leadership (#94)
- • Higher development activity
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