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>Atlassian vs Thinking Machines Lab

Atlassian AI Company Profile & RankingsThinking Machines Lab AI Company Profile & Rankings

AI Activity Comparison

Atlassian

Atlassian Corporation Plc. is an Australian-American software company that develops collaboration, development, and project management tools for teams. The company is globally headquartered in Sydney, Australia, with a U.S. headquarters in San Francisco, and it serves over 300,000 customers worldwide. Its flagship product, Jira, is an issue and project tracking application initially created to address internal needs for bug-tracking software. Atlassian, which was co-founded in 2002 by Mike Cannon-Brookes and Scott Farquhar, has over 12,000 employees. The company's recent focus includes the development and integration of AI-powered features, such as those explored in its RovoDev code review automation project.

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.

Data updated: • Live

Based on 9 events tracked for Atlassian over the past 30 days (7 in the past 7 days), updated in near real-time.

Atlassian versus Thinking Machines Lab: Live 2026 Comparison

Atlassian and Thinking Machines Lab are neck-and-neck in the AI rankings, separated by just 5 positions. Atlassian ships faster (7 events/week), while Thinking Machines Lab has stronger community approval (65% positive). This comparison draws on 11 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 Atlassian has more authentic positioning (gap: -1.7) compared to Thinking Machines Lab (7.6). Data refreshes every 5 minutes. Compare other AI companies →

Atlassian vs Thinking Machines Lab: Key Signals

Activity:Atlassian 7 events/wk vs Thinking Machines Lab 4
Sentiment:Thinking Machines Lab 65% vs Atlassian 3%
Rank gap:#66 vs #61 (5 positions apart)
Hype gap:Atlassian -1.7 vs Thinking Machines Lab +7.6
Score:Atlassian 16 vs Thinking Machines Lab 18

Data refreshes every 5 minutes. Compare other companies →

Atlassian vs Thinking Machines Lab: Head-to-Head

Comparison of key metrics between Atlassian and Thinking Machines Lab
MetricAtlassianThinking Machines Lab
Rank#66#61
Overall Score16.117.6
7-Day Events74
30-Day Events94
Sentiment3%65%
Momentum
7d vs 30d velocity
0%+430%
Hype Score8.27.6
Reality Score9.90.0
Hype Gap-1.7+7.6

📊 Visual Comparison

Compare 5 key metrics on a 0-100 scale. Larger area = stronger overall performance.

Atlassian
Thinking Machines Lab
Activity
4vs2
Sentiment
3vs65
Score
16vs18
Momentum
50vs50
Confidence
0vs0

Metric Definitions:

Activity: Weekly GitHub events (max 200 = 100)
Sentiment: Community sentiment (0-100)
Score: Overall ranking score
Momentum: Rank movement trend (50 = neutral)
Confidence: Data confidence level (0-100)

What Separates Atlassian from Thinking Machines Lab

Who Ships Faster: Atlassian or Thinking Machines Lab?

Atlassian logged 7 events this week vs Thinking Machines Lab's 4 — a 1.8x difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 2.3x (9 vs 4), suggesting this pace is consistent.

What Users Think of Thinking Machines Lab vs Atlassian

Thinking Machines Lab has 65% positive sentiment vs Atlassian's 3%. That 62-point gap is significant — it signals stronger user satisfaction and fewer community complaints about Thinking Machines Lab.

Does Atlassian Deliver on Its Promises?

Atlassian's hype gap of -1.7 vs Thinking Machines Lab's 7.6 means Atlassian delivers on its promises — marketing claims closely match actual capabilities.

Where Thinking Machines Lab and Atlassian Rank

Thinking Machines Lab at #61 outranks Atlassian at #66 among 2,800+ AI companies. With 5 ranks between them, they compete for similar market segments.

Atlassian vs Thinking Machines Lab: Momentum Trend

Thinking Machines Lab is accelerating (430% velocity growth) while Atlassian is flat — a diverging trend worth watching.

Latest Signals: Atlassian vs Thinking Machines Lab

Latest tracked events for each company — product launches, research papers, community discussions, and more.

Atlassian(7 events this week)

  • Atlassian Just Laid Off 1,600 People to Fund AI. We Need to Talk About This.

    Dev.to Machine Learning Tag
  • Atlassian CEO: AI doesn't replace people here, but we're firing them anyway

    Hacker News Newest
  • **Embracing AI Transformation: Atlassian's Strategic Restructuring**

    Dev.to AI Tag
  • Atlassian lays off 1,600 workers ahead of AI push

    Hacker News Newest
  • Atlassian to shed ten percent of staff, because AI

    The Register
View all Atlassian signals →

Thinking Machines Lab(4 events this week)

  • Thinking Machines Lab: $120M Valuation Per Employee and the Nvidia Gigawatt Deal

    Dev.to Machine Learning Tag
  • Mira Murati’s Thinking Machines strikes multibillion chip deal with Nvidia - Financial Times

    Google News - AI General
  • The New AI Moat: Why Compute Access Is Now More Important Than Talent

    Dev.to AI Tag
  • NVIDIA GTC 2026: Live Updates on What’s Next in AI

    NVIDIA AI Blog
  • Nvidia makes 'significant investment' in Mira Murati's Thinking Machines Lab

    CNBC Technology
View all Thinking Machines Lab signals →

Analysis: Atlassian vs Thinking Machines Lab

Thinking Machines Lab currently holds the edge at #61, 5 positions ahead of Atlassian (#66), though the gap remains contestable.

Thinking Machines Lab is gaining momentum (430% velocity increase) while Atlassian is holding steady, signaling potential change in this matchup.

Community sentiment diverges sharply: Thinking Machines Lab at 65% positive vs Atlassian's 3%. Atlassian maintains more authentic positioning with a hype gap of -1.7, compared to Thinking Machines Lab's 7.6 — a key signal for evaluating long-term reliability.

Watch for: Atlassian's latest signal ("Atlassian Just Laid Off 1,600 People to Fund AI. We Need to ...") and Thinking Machines Lab's ("Thinking Machines Lab: $120M Valuation Per Employee and the ...") could shift this matchup.

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Why Compare Atlassian vs Thinking Machines Lab?

Direct Competitors

Thinking Machines Lab leads at #61 while Atlassian is closing in at #66. With 5 ranks separating them, they're competing for similar market segments and developer mindshare.

Who Compares Atlassian and Thinking Machines Lab

Tech Decision Makers

Evaluating which platform offers better ROI and developer experience for enterprise adoption.

"Choose Thinking Machines Lab for proven scale, or Atlassian 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 Atlassian and Thinking Machines Lab

  • **Community Perception**: Thinking Machines Lab has notably stronger positive sentiment (62% higher).

Choosing Between Atlassian and Thinking Machines Lab

Consider Atlassian if you value:

  • • Higher development activity
  • • Higher substance-to-hype ratio

Consider Thinking Machines Lab if you value:

  • • Proven market leadership (#61)
  • • Stronger community sentiment

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