Built-in-public post. Here's the honest breakdown.
The goal: test whether hyper-specific, single-purpose AI tools could get organic traction faster than a broad product. Nine niches, nine tools, all live on Vercel in under 24 hours.
The 9 tools:
- Client Red Flag Checker (for freelancers)
- Freelance Rate Calculator
- Brand Deal Calculator (for creators)
- Sermon Outline Generator (for pastors)
- Podcast Viral Clip Finder
- Bio Generator
- Fantasy Sports Optimizer
- NOETRON Hub (links to all tools) — noetron-site.vercel.app
- Analytics Dashboard
Stack: Lovable for UI + logic, Vercel for deployment, no backend (all client-side AI calls).
What worked:
- Lovable is genuinely fast for single-purpose tools. Each tool was ~45 minutes from prompt to deployed.
- Vercel deployment is near-instant once you have the workflow down.
- Keeping tools single-purpose keeps the prompt simple and the UX clean.
What was harder than expected:
- Getting the AI output quality right on the first prompt. Took 3-4 iterations on some tools.
- Maintaining design consistency across 9 separate projects. No shared component library.
- No analytics out of the box — had to manually add PostHog to each.
What I still don't know:
- Which niches will actually convert to return users.
- Whether "free, no signup" is the right model or if it kills retention.
- If the SEO play (long-tail niche terms) will work or if I need a different distribution strategy.
Planning to run community distribution this week and see which tools get traction.
What would you build if you had 9 slots and one day?