Launching today
Nugget AI
Turn customer interviews into your product roadmap
64 followers
Turn customer interviews into your product roadmap
64 followers
Nugget AI turns customer interviews into product evidence. Record or upload calls → AI extracts pain points and feature requests → synthesis surfaces themes → auto-generated PRDs with real customer quotes → dev-ready handoff to Linear & GitHub. NEW: MCP server. Connect Claude, ChatGPT, Cursor, or Codex — your AI agent can search every interview and draft specs grounded in real evidence. No more copy-pasting. Half the price of Dovetail.
Products used by Nugget AI
Explore the tech stack and tools that power Nugget AI. See what products Nugget AI uses for development, design, marketing, analytics, and more.
Voice AI Tools 1
Voice AI Tools 1
AssemblyAIThe best way to build Voice AI apps with one robust API
4.8 (29 reviews)
Nugget is built on real-time interview transcription, so latency and accuracy on conversational audio were non-negotiable. AssemblyAI's Universal-Streaming plus speaker diarization out-performed Deepgram in my testing on actual customer calls — fewer dropped words, cleaner speaker separation. The API was also the cleanest to integrate; I had a production pipeline running in a day. LeMUR was the bonus that sealed it.
Finance 1
Finance 1
StripeFinancial infrastructure for the internet
4.9 (421 reviews)
Also considered:
lemonsqueezyPicked Stripe in about 30 seconds. Subscription primitives, Stripe Tax for global compliance, and a developer experience that's still the bar everyone else is judged against. The Stripe MCP server was a bonus — being able to query live subscription data from Claude during development cut a lot of dashboard-flipping out of my workflow. For a solo founder shipping a SaaS, there isn't a real second choice.
Engineering & Development 1
Engineering & Development 1
Claude CodeAnthropic’s deep-context AI coder
5.0 (457 reviews)
Also considered:
CursorClaude Code did 80% of the build. MCP support was the deciding factor — being able to plug in Linear, Figma, Supabase, and our own Nugget server meant the agent always had real context, not stale guesses. Long-running agentic tasks (multi-file refactors, full feature builds) just work. I used Cursor for tight inline edits, but Claude Code owned the heavy lifting — and watching it use MCP servers daily is what convinced me to ship one inside Nugget.