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How I auto-enrich a brand database with AI on cache miss (Lovable + Claude API)

DEV Community·mamoru kubokawa·18 days ago
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Most database designs have two ugly options: Manually seed thousands of rows (impossible for niche data like Japanese wholesale suppliers) Force users to enter everything (terrible UX, dead-on-arrival) Last week I shipped a third option in 30 minutes with Lovable: let the database grow itself . Every search that misses the cache triggers Claude API to generate a real, structured entry — and saves it. The next user gets an instant hit. Here's the exact pattern. The pattern in 4 lines async function search ( query ) { if ( await db . has ( query )) return db . get ( query ); const entry = await aiGenerate ( query ); await db . save ( entry ); return entry ; } Enter fullscreen mode Exit fullscreen mode That's the whole thing. The magic is in what happens to the database over time. Why this beats alternatives Seed-only DBs require domain expertise upfront. For my Japan Brand Finder, that meant cold-calling Tsubame-Sanjo metalworkers — months of effort before launching. User-fed DBs have chicken-and-egg.…

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