Evaluating only Hunch’s profile at its peak — without knowing the outcome — the model ranked Acquisition gone wrong as the #1 likely cause. That’s exactly how it died.
Key Events Timeline
FOUNDING
Hunch founded by Caterina Fake (Flickr co-founder) and Chris Dixon, building a decision-tree-based taste graph for personalized recommendations
FUNDING
Hunch raises $12M Series A led by Bessemer Venture Partners to expand its taste graph and recommendation engine
PRODUCT LAUNCH
Hunch launches its Taste Graph API, allowing third-party developers to integrate personalized recommendation data into their own applications
ACQUISITION ATTEMPT
eBay acquires Hunch for approximately $80M to integrate its taste graph technology into eBay's product recommendation and personalization engine
SHUTDOWN
Hunch ceases operations as a standalone product; technology absorbed into eBay's recommendation engine and brand discontinued, effectively ending the Hunch identity
Full Analysis
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Documented cause
Hunch built a "taste graph" that learned your preferences through decision trees and made personalized recommendations. eBay acquired it in 2011 for $80M to improve product recommendations. The Hunch product was shut down in 2012, the technology absorbed into eBay's recommendation engine where it disappeared.
Lesson
“When you sell to a company that cannot use your full vision, your product dies even if the acquisition succeeds.”
Failure anatomy
Collapse type
Acqui-hire
📉 MEDIUM
Hype cycle
peak of inflated expectations
Moat type
Data Moat
Fatal mistake
Acquired by eBay which had no vision for consumer taste graph technology
FAQ
What did Hunch actually do?
Hunch asked you a series of questions to build a taste profile, then used that to recommend anything from movies to products. It was building a preference graph for the web before that was standard.
Was $80M a good exit for Hunch?
For investors yes, but the product died immediately. The founders went on to influential careers — Chris Dixon joined a16z — so professionally it worked out, but the product vision was lost.
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