Software product · Revenue
AI application
The story
The author says a new software business reached $62,000 MRR within 90 days and shared its technology stack. The team started from Vercel AI Chatbot, using Next.js, TypeScript and shadcn/ui, with Vercel AI SDK, Claude for chat, Perplexity for search and Deepgram for speech-to-text.
Infrastructure included Vercel, Neon and Inngest. Clerk handled authentication, Polar payments, Loops email and Fernand support. The author says the team launched within weeks and emphasizes shipping a usable initial version.
The official product name, target customers, acquisition methods and cost structure are undisclosed. The revenue timeline and technology stack are described together, while their causal relationship remains unverified.
Source excerpt
My new business hit $62k MRR in (just) 90 days. Here's the tool stack we used to get there: (If you're building software, save this…
@camtrew · Read the full source
- What was delivered
A founder-reported AI application business with its specific functionality undisclosed.
Lessons and acquisition
The author combined an existing template with named services and advocated launching early while the first version still had shortcomings.
Costs, risks and open questions
Revenue is self-reported. The use case, exact currency, customer count and expenses are undisclosed.
Tools and topics
- Vercel AI Chatbot
- Next.js
- TypeScript
- shadcn/ui
- Vercel AI SDK
- Claude
- Perplexity
- Deepgram
- Vercel
- Neon
- Inngest
- Clerk
- Polar
- Loops
- Fernand
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