Tamber
The business, the turning points, and the decisions behind them.
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Sections to complete：02 · 05
01 / WHAT IT BUILT
What the company did
Tamber was a machine-learning startup founded by Alexi Robbins and Mark Canning that offered hosted recommendation engines for developers. Its API learned from user-item interactions tracked through client SDKs (JavaScript, Ruby, Node, iOS) and returned real-time personalized recommendations, pitched as a way to add Google- or Amazon-style recommendations to any app with a few lines of code.
02 / FAILURE REASONS
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03 / EVENT HISTORY
Events in the structured record
- API and SDKs launched
Tamber ships its hosted recommendation API with client SDKs for JavaScript, Ruby, Node.js and iOS, offering a free trial and pay-as-you-grow pricing.
- Development stalls
The last Tamber client library release ships in mid-2020; no further product updates are published afterwards.
04 / CONTEMPORARY REBUILD ASSESSMENT
Difficulty of rebuilding this project today
Material for this section is being gathered and checked. It will appear here once ready.
Overall assessment: Not completed
05 / CAUSAL CHAIN / AFTERMATH
Material for this section is being gathered and checked. It will appear here once ready.