Back to the episode map

Research Note

Startup Idea Generation and Testing Research Note

Jared Friedman's original Y Combinator talk controls the seven idea-generation routes. E102 correctly attributes the framework to Startup School after referring to it imp

Aug 4, 20261 min readBy Dalton Anderson

Startup Idea Generation and Testing Research Note

Jared Friedman's original Y Combinator talk controls the seven idea-generation routes. E102 correctly attributes the framework to Startup School after referring to it imprecisely in the recording.

The routes begin with team advantage, a personally experienced problem, a wished-for product, a recent change, a variant of a successful company, conversations with people about problems, and a large broken industry.

Venture Step adds a common evidence pass. The founder writes the user, job, current alternative, frequency, urgency, consequence, buyer, decision path, economics, advantage, dependency, and evidence that would disconfirm the idea.

Problem interviews should examine recent behavior and actual workflow. Hypothetical enthusiasm is weaker than time, access, a pilot commitment, a signed agreement, or payment.

Founder-market fit can include knowledge, trust, access, technical ability, operating experience, or a sustained relationship with the problem. Prior employment or personal interest alone does not establish it.

Kill criteria protect the search from becoming a story that explains away every weak signal. A team can stop when the problem is infrequent, the buyer is absent, the data cannot be used, switching cost exceeds value, the sales cycle breaks the economics, or the alternative is good enough.

The framework can be used inside a company if data, security, legal, and operating authority are respected.

Sources

Follow the evidence.

  1. epa.gov: stationary enginesepa.gov
  2. gao.gov: gao 25 107172gao.gov
  3. spec.c2pa.org: Explainerspec.c2pa.org
  4. cdc.gov: fatigue workcdc.gov
  5. Current Google Search AI feature documentationdevelopers.google.com
  6. pubmed.ncbi.nlm.nih.gov: 22708885pubmed.ncbi.nlm.nih.gov
  7. fema.gov: lifelinesfema.gov
  8. pubmed.ncbi.nlm.nih.gov: 31864153pubmed.ncbi.nlm.nih.gov
  9. Google's guide to optimizing for generative AI featuresdevelopers.google.com
  10. energy.gov: powering americas ai future data center resource hubenergy.gov
  11. energy.gov: doe releases new report evaluating increase electricity demand data centersenergy.gov
  12. deepmind.google: synthiddeepmind.google
  13. content.naic.org: naic adopts first national climate resilience strategy insurance close coverage gaps and improvecontent.naic.org
  14. steveblank.com: whats a startup first principlessteveblank.com
  15. content.naic.org: resilience data visualization mapcontent.naic.org
  16. developers.google.com: google search and ai contentdevelopers.google.com
  17. ycombinator.com: jared friedmanycombinator.com
  18. Introducing Search Generative AI performance reportsdevelopers.google.com
  19. nist.gov: reducing risks posed synthetic content overview technical approaches digital contentnist.gov
  20. ycombinator.com: startup school videosycombinator.com
  21. spec.c2pa.org: charterspec.c2pa.org
  22. swissre.com: Natcat protection gapswissre.com
  23. fema.gov: requirementsfema.gov
  24. harpercollins.com: the hard thing about hard things ben horowitzharpercollins.com
  25. ibhs.org: wildland fire embers and flames home mitigations that matteribhs.org
  26. dash.harvard.edu: 13a7b031 0fdd 45ec a7e0 2b80e2bc679fdash.harvard.edu
  27. ycombinator.com: 8g how to get startup ideasycombinator.com
  28. deepmind.google: identifying ai generated images with synthiddeepmind.google
  29. pubmed.ncbi.nlm.nih.gov: 33749936pubmed.ncbi.nlm.nih.gov
  30. csrc.nist.gov: finalcsrc.nist.gov
  31. nibs.org: NIBS MMC MitigationSaves 2019nibs.org
Startup Idea Generation and Testing Research Note