{
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  "name": "Daytona",
  "url": "https://www.daytona.io",
  "category": "automation-platforms",
  "tier": "venture",
  "one_liner": "Agent Execution Cloud that gives AI agents a real computer \u2014 isolated sandboxes to write code, use tools, and keep working.",
  "what_the_agent_does": "Provides an Agent Execution Cloud: isolated, fast, stateful computers that AI agents use through an API to write code, use tools, make mistakes, and keep working \u2014 including code execution, computer use, and reinforcement learning, with instantaneous startup, persistent state, forks and snapshots, and per-second billing. Isolated sandboxes run untrusted code safely (company blog, Nov 3 2026).",
  "business_model": "Usage-based Agent Execution Cloud billed per second to match how agents use compute (company blog, Nov 3 2026).",
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    {
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      "value_usd": 100000000,
      "value_text": "$100M run rate, from a $1M run rate four quarters earlier; grew 37.5x this year (company blog, Nov 3 2026)",
      "as_of": "2026-11-03",
      "source_url": "https://www.daytona.io/dotfiles/1m-to-100m-run-rate-in-4-quarters",
      "source_name": "Daytona blog (Nov 3 2026)",
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      "note": "Run-rate basis exactly as published; not converted to ARR. as_of is the publication date (Nov 3 2026); the post does not give a more specific as-of. A mid-October dashboard reading of $100M was described as a projection.",
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  "team_size_text": "",
  "lessons": [
    "The company rebuilt from automated development environments for human engineers into an Agent Execution Cloud after customers said they needed a real computer for every agent, not a demo box (company blog, Nov 3 2026).",
    "A run rate is not a destination: the number means customers found something useful, not that the hard part is over (company blog, Nov 3 2026).",
    "Agent workloads are described as spinning up thousands of isolated, fast, stateful environments through an API, with pause, resume, parallel branches, forks, snapshots, and per-second billing (company blog, Nov 3 2026)."
  ],
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    "agent-infrastructure",
    "infrastructure",
    "cloud",
    "enterprise"
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  "agentic_origin": "agent-native",
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  "annualized_revenue_usd": 100000000,
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  "tier_label": "Venture-backed",
  "tier_note": "Has raised outside venture funding (e.g. Y Combinator or VC rounds). Says nothing about revenue size.",
  "independent": true,
  "ownership": null,
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  "last_ownership_check": "2026-11-03",
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  "related": [
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      "slug": "applied-compute",
      "name": "Applied Compute",
      "category": "automation-platforms",
      "tier": "venture",
      "category_label": "Automation platforms",
      "tier_label": "Venture-backed",
      "one_liner": "AI infrastructure (Applied Compute Agent Cloud) for training, inference, and continual improvement so companies can build and run models tailored to their work.",
      "annualized_revenue_usd": 100000000,
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      "score": 10,
      "why": [
        "same category",
        "same tier",
        "shared: agent-infrastructure, cloud, enterprise",
        "similar scale"
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      "slug": "camunda",
      "name": "Camunda",
      "category": "automation-platforms",
      "tier": "venture",
      "category_label": "Automation platforms",
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      "one_liner": "Enterprise platform for agentic orchestration \u2014 coordinating AI agents, people, and systems across governed end-to-end processes.",
      "annualized_revenue_usd": 200000000,
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      "score": 8,
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        "same category",
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      "name": "n8n",
      "category": "automation-platforms",
      "tier": "venture",
      "category_label": "Automation platforms",
      "tier_label": "Venture-backed",
      "one_liner": "Fair-code workflow platform for orchestrating AI agents with human controls.",
      "annualized_revenue_usd": 110000000,
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        "same category",
        "same tier",
        "shared: enterprise",
        "similar scale"
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      "slug": "scribe",
      "name": "Scribe",
      "category": "automation-platforms",
      "tier": "venture",
      "category_label": "Automation platforms",
      "tier_label": "Venture-backed",
      "one_liner": "Workflow AI platform that captures how work is done and feeds that context to people and AI agents.",
      "annualized_revenue_usd": 100000000,
      "verification_label": "reported, not payment-verified",
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      "url_profile": "https://mrrledger.com/b/scribe/",
      "compare_url": "https://mrrledger.com/compare/?a=daytona&b=scribe",
      "score": 8,
      "why": [
        "same category",
        "same tier",
        "shared: enterprise",
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    "label": "Claim and keep this verified",
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    "note": "Paying never changes figures, rankings, sorting or inclusion. The Verified badge only reflects a passed revenue check.",
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