AI influencer discovery·seeding platform
One team designed and shipped an influencer discovery·campaign-seeding platform — product and AWS infrastructure.
Why it was hard.
Finding the right influencers for a campaign was manual, and execution lived in spreadsheets. Fit was judged subjectively, so quality wavered as scale grew. Splitting product and infrastructure across vendors scattered accountability — they needed one partner to carry it end to end.
Constraints
- Fast launch — validate the market first
- AI recommendation quality and inference cost at once
- Planning, design, full-stack, and infra in one team
What we did.
- DiscoveryDefine problem, users, success metrics
- AI recommendation coreEmbedding-based matching and ranking
- Full-stack buildWeb product + campaign-seeding workflow
- AWS infrastructureDesign, deploy, operate — one team
Outcome.
Manual discovery became AI recommendation, making fit judgments consistent and fast. One team designed and shipped the product and AWS infrastructure and stayed through operations — to market quickly, with no handoff loss.
Stack.
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