WEKA discusses evaluating AI companies based on intelligence per kilowatt and compute.

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  "signal_type": "linkedin-post-company",
  "signal_subtype": "linkedinPost",
  "detected_at": "2026-08-13T13:55:33.861+00:00",
  "company": {
    "name": "Weka",
    "domain": "weka.io"
  },
  "data": {
    "tags": [
      "Artificial Intelligence",
      "Big Data",
      "Corporate Strategy",
      "Data Management"
    ],
    "summary": "WEKA discusses evaluating AI companies based on intelligence per kilowatt and compute.",
    "post_url": "https://www.linkedin.com/posts/weka-io_how-many-gpus-do-you-have-that-used-to-activity-7493056833964761089-6cs_",
    "num_likes": 9,
    "post_text": "🤔 How many GPUs do you have? That used to be the question.\n\nToday, the better question might be: How much intelligence are you getting from every kilowatt?\n\nIn this article, we unpack insights on what really matters when evaluating AI companies, from customer happiness and team efficiency to getting more intelligence from every unit of compute and power.\n\nBecause when demand for intelligence keeps growing and kilowatts remain limited, doing more with what you have becomes a serious competitive advantage.\n\n🔗 https://weka.ly/4gao67q",
    "initiatives": [
      {
        "topic": "optimizing compute and power for AI workloads",
        "urgency": 0.8
      }
    ],
    "pain_points": [
      {
        "topic": "limited kilowatts for growing intelligence demand",
        "intensity": 0.7
      }
    ],
    "posted_date": "2026-08-11T21:32:43.481Z",
    "num_comments": 0
  }
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curl https://signals.autobound.ai/v1/signals/d83cc00c-38af-4a81-8d82-cfd81242a475 \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"weka.io","limit":20}'