Marketplace Beta
- 77+
- RSS sources ingested
The problem
Amazon, Walmart, and marketplace agency operators have no single credible resource tracking what is actually changing in their industry — and that audience is exactly the buyer profile worth reaching.
What I built
An e-commerce intelligence publication and aggregation platform, built end to end. A multi-model AI pipeline runs the editorial operation with model tier matched deliberately to task complexity against cost: Claude Haiku for classification, tagging, and triage where throughput and price dominate; Claude Sonnet for original editorial analysis where reasoning quality dominates; DALL·E 3 for imagery. Everything routes through the Vercel AI Gateway. Five scheduled stages handle fetch, classify, generate, illustrate, and cleanup, with a Resend-powered email layer for subscriber delivery. Embedded operator tools — PriceScope, AgencyForecast, and a recovery estimator — give the audience a reason to return.
What changed
Operates as an industry resource, an audience engine, and a lead-generation surface simultaneously. Presented internally at Threecolts as the company case study in applied AI.
Architecture
How it runs
Stack