I'm the maker of Bunzee, and this is our third launch —so let me be honest about how we got to 3.0.
1.0 was pure analysis. Type in an idea, and it found similar services and broke them down with AI. Useful, but it stopped at "here's what's out there." People read the report and… then what?
2.0 tried to answer that. We plugged in real service data and workflows, so it didn't just analyze—it produced a report, a PRD, even mockups with user interaction. Both times we kept hearing the same thing: "okay, but I still don't know what to actually build."
That's the problem 3.0 is built around. Most of us hand our ideas to an AI to build now—but an AI can't build the right thing without context. Give it a vague prompt and it hallucinates an app nobody asked for.
So Bunzee 3.0 prepares that context. It analyzes your idea against real competitor and market data, then breaks it down step by step: PRD → IA → wireframes → design (shaped from 250 real global app styles).→ prototype → MCP
Each step feeds the next, and every one is grounded in objective data, not opinion. Then it all pipes straight into your AI coding tool over MCP—so your AI builds from real context, not vibes.
What I'd most love feedback on: the wireframe → design → MCP handoff.
Does it match how you actually build with AI today? Where does it break for you?
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I'm the maker of Bunzee, and this is our third launch —so let me be honest about how we got to 3.0.
1.0 was pure analysis. Type in an idea, and it found similar services and broke them down with AI. Useful, but it stopped at "here's what's out there." People read the report and… then what?
2.0 tried to answer that. We plugged in real service data and workflows, so it didn't just analyze—it produced a report, a PRD, even mockups with user interaction. Both times we kept hearing the same thing: "okay, but I still don't know what to actually build."
That's the problem 3.0 is built around. Most of us hand our ideas to an AI to build now—but an AI can't build the right thing without context. Give it a vague prompt and it hallucinates an app nobody asked for.
So Bunzee 3.0 prepares that context. It analyzes your idea against real competitor and market data, then breaks it down step by step: PRD → IA → wireframes → design (shaped from 250 real global app styles).→ prototype → MCP
Each step feeds the next, and every one is grounded in objective data, not opinion. Then it all pipes straight into your AI coding tool over MCP—so your AI builds from real context, not vibes.
What I'd most love feedback on: the wireframe → design → MCP handoff. Does it match how you actually build with AI today? Where does it break for you?