Public teardown library

We translated 153 AI GTM pitches from 39 vendors. Receipts attached.

Every public result keeps the joke attached to a useful buyer artifact: claim, hidden assumptions, one main badge, supporting risks, and one-week test. Newest verdict first.

All badges Demo Fog Magic Pipeline CRM Graffiti Robot Costume Benchmark Smoothie Insight Shelfware Stack Jenga RevOps Tax PostHog only

Latest verdict

RevOps Tax

PostHog Logs

“Logs claim seamless debugging, but expect devs juggling ingestion configs, noisy data, and linking logs to sessions.”

PostHog Logs consolidates logs for developers but demands new ingestion setup, log filtering, and integration with existing observability systems.

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Support / product assistant

PostHog PostHog Code

Robot Costume

“AI product assistant sounds self-driving but still needs engineers to pilot task selection and code review.”

PostHog Code auto-generates prioritized dev tasks from product data signals but depends on engineers to review, prioritize, and approve code changes, with no hands-off autonomy yet.

Hidden assumptions

Engineers have capacity to review AI-generated PRs without backlog growth · The AI can accurately prioritize routine tasks without strategic input

RevOps TaxDemo Fog

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