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>Salesforce vs Thinking Machines Lab

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

AI Activity Comparison

Salesforce

Salesforce, Inc. is an American cloud-based software company headquartered in San Francisco, California. It provides customer relationship management (CRM) software and applications focused on sales, customer service, marketing automation, e-commerce, analytics, and artificial intelligence. Founded by former Oracle executive Marc Benioff in 1999, the company completed its initial public offering in 2004. As of 2025, Salesforce is ranked as the 61st largest company in the world by market capitalization and became the world's largest enterprise applications firm in 2022. The company, which is a component of the Dow Jones Industrial Average, reported revenue of $31.352 billion in 2023. Its current focus includes the development and integration of artificial intelligence capabilities into its CRM platform.

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 15 events tracked for Salesforce over the past 30 days (2 in the past 7 days), updated in near real-time.

Salesforce versus Thinking Machines Lab: Live 2026 Comparison

Salesforce and Thinking Machines Lab are neck-and-neck in the AI rankings, separated by just 3 positions. Salesforce ships faster (2 events/week), while Thinking Machines Lab has stronger community approval (50% positive). This comparison draws on 2 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 Salesforce has more authentic positioning (gap: 1.3) compared to Thinking Machines Lab (7.5). Data refreshes every 5 minutes. Compare other AI companies →

Salesforce vs Thinking Machines Lab: Key Signals

Activity:Salesforce 2 events/wk vs Thinking Machines Lab 0
Sentiment:Thinking Machines Lab 50% vs Salesforce 40%
Rank gap:#47 vs #44 (3 positions apart)
Hype gap:Salesforce +1.3 vs Thinking Machines Lab +7.5
Score:Salesforce 21 vs Thinking Machines Lab 22

Data refreshes every 5 minutes. Compare other companies →

Salesforce vs Thinking Machines Lab: Head-to-Head

Comparison of key metrics between Salesforce and Thinking Machines Lab
MetricSalesforceThinking Machines Lab
Rank#47#44
Overall Score21.122.1
7-Day Events20
30-Day Events155
Sentiment40%50%
Momentum
7d vs 30d velocity
0%+430%
Hype Score8.57.5
Reality Score7.20.0
Hype Gap+1.3+7.5

📊 Visual Comparison

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

Salesforce
Thinking Machines Lab
Activity
1vs0
Sentiment
40vs50
Score
21vs22
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 Salesforce from Thinking Machines Lab

Who Ships Faster: Salesforce or Thinking Machines Lab?

Salesforce logged 2 events this week vs Thinking Machines Lab's 0 — a significant difference in product launches, research papers, and code commits. Over the past 30 days, the gap is 3.0x (15 vs 5), suggesting this pace is consistent.

What Users Think of Thinking Machines Lab vs Salesforce

Thinking Machines Lab has 50% positive sentiment vs Salesforce's 40%. The 10-point gap is modest, meaning both have comparable community trust.

Does Salesforce Deliver on Its Promises?

Salesforce's hype gap of 1.3 vs Thinking Machines Lab's 7.5 means Salesforce delivers on its promises — marketing claims closely match actual capabilities.

Where Thinking Machines Lab and Salesforce Rank

Thinking Machines Lab at #44 outranks Salesforce at #47 among 2,800+ AI companies. Just 3 ranks apart — a single product launch could flip this ranking.

Salesforce vs Thinking Machines Lab: Momentum Trend

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

About Salesforce and Thinking Machines Lab

Salesforce

Headquarters
San Francisco, CA
Rank
#47
Score
21.1

Latest Signals: Salesforce vs Thinking Machines Lab

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

Salesforce(2 events this week)

  • Agentforce Scripts: Hybrid Reasoning, Action Chaining, and What It Actually Looks Like in Practice

    Dev.to AI Tag
  • The Proof

    Dev.to AI Tag
  • How Agentforce Redefines Human-Agent Collaboration in Salesforce - A 2026 Guide

    Dev.to AI Tag
  • Salesforce x NVIDIA: How Agentforce and Nemotron Are Redefining Enterprise AI Agents

    Dev.to AI Tag
  • Salesforce Data Cloud Is Now Data 360 - Here's What Changed and Why It Matters

    Dev.to AI Tag
View all Salesforce signals →

Thinking Machines Lab(0 events this week)

  • The Dispersal

    Dev.to AI Tag
  • 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 makes 'significant investment' in Mira Murati's Thinking Machines Lab

    CNBC Technology
View all Thinking Machines Lab signals →

Analysis: Salesforce vs Thinking Machines Lab

Salesforce and Thinking Machines Lab are virtually tied in the Sector HQ rankings, separated by just 3 positions — making this one of the most competitive matchups in AI.

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

Sentiment is closely matched — Thinking Machines Lab edges out at 50% vs 40%, suggesting comparable community trust. Salesforce maintains more authentic positioning with a hype gap of 1.3, compared to Thinking Machines Lab's 7.5 — a key signal for evaluating long-term reliability.

Watch for: Salesforce's latest signal ("Agentforce Scripts: Hybrid Reasoning, Action Chaining, and W...") and Thinking Machines Lab's ("The Dispersal") could shift this matchup.

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Why Compare Salesforce vs Thinking Machines Lab?

Neck-and-Neck Battle

Just 3 ranks apart (#47 vs #44), this is one of the closest matchups in AI. Every product launch, research paper, and community sentiment shift could tip the balance.

Who Compares Salesforce 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 Salesforce 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."

Choosing Between Salesforce and Thinking Machines Lab

Consider Salesforce if you value:

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

Consider Thinking Machines Lab if you value:

  • • Proven market leadership (#44)
  • • Stronger community sentiment

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