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LaunchChair takes you from a vague idea to a structured product and then walks you through building it, so you’re not guessing what to build or fighting prompts along the way.
Sounds great on paper, but i would be interested on how this can take any idea to a fully enriched app
The app runs your idea through a proper product strategy phase, generates a proper MVP spec that the user can modify screen by screen / flow by flow, then the app automatically generates a build kanban with feature by feature prompts that have strict agent contracts, spec scope, guardrails, and taste built into every prompt. Then once you’re finished with your MVP it has a distribution workspace for finding users based on your actual product and actual market pain. Pretty excited to launch next week and we already have a few users. We’re seeing a 60-80% token savings from our prompting engine compared to traditional vibe coding and the code / output quality is great. Mind you this isn’t a wrapper, the idea is this is a workspace you use with the LLM’s you already use, and you can use any LLM or a combination if you choose. Here’s me blabbing on about the build phase / dynamic prompts in a demo video if you’re curious. https://supercut.ai/share/launchchair/yawrk-drkkqU-Vx686DBXm We also have a full agent API / MCP so an agent can use the app end to end if you’re into that sort of thing.