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Every coding skill starts after you've decided what to build. vibe-check covers the part before, the part that sinks most projects. It digs out the real problem under your vague idea, pressure-tests it against what people actually gripe about on Reddit, and hands your AI agent a blueprint to follow. It can even tell you no, a real no-go verdict. Other skills help you build it right. This one makes sure you're building the right thing.
Hey PH 👋 I'm Amer. I spent 12+ years as a PM, and I've shipped four of my own apps.
Vibe coding made building 10x faster and planning 10x rarer. People hand Claude, Cursor, or Lovable a one-line idea and get back a gorgeous app nobody needs.
vibe-check is what I run before any AI writes a line of code. It grills your idea, pulls real complaints straight from Reddit, app stores and other review sites, maps where the competitors fall short, and scores the opportunity. Only then does it scope a v1 and write a plan your coding agent can follow phase by phase.
The plan comes with training wheels built in: your AI stops at each build phase to explain what it just made and why, and the whole session lands in one interactive PRD you can open in your browser.
The version going live today can also tell you no. There's a real no-go verdict baked in, because the most valuable thing validation can do is stop you before you sink three weeks into the wrong thing. And it now meets you wherever you are: the full journey from idea to plan, a quick gut-check on whether the idea even holds up, or a shortcut straight to planning if you've already done the validation homework.
It's free and open source. 460+ stars and 50 forks so far, and honestly the question that pushed me to launch was the one stargazers kept asking me: "can you just run this for me?" (If that's you, there's a note in the README.)
I'll be here all day. Ask me anything, or throw your idea at me and I'll tell you what I'd check first.
the no-go verdict is the part I'd stress test hardest. it's easy to feel good about killing a bad idea, but what about ideas that look weak on paper because the market signal is sparse or contrarian rather than because the idea is actually bad? how do you keep vibe-check from converging on "whatever already has visible reddit complaints" as its working definition of validated, since that would quietly bias it toward incremental ideas over genuinely new ones nobody's complained about yet.
I like that you're separating "build the product well" from "build the right product."
As AI makes software creation cheaper, I think the biggest source of failure shifts upstream. Building becomes abundant, while deciding what deserves to be built becomes the scarce capability.
That feels like the more important problem to solve.
About Vibe-check skill on Product Hunt
“Stop your AI from building the wrong app”
Vibe-check skill was submitted on Product Hunt and earned 23 upvotes and 20 comments, placing #19 on the daily leaderboard. Every coding skill starts after you've decided what to build. vibe-check covers the part before, the part that sinks most projects. It digs out the real problem under your vague idea, pressure-tests it against what people actually gripe about on Reddit, and hands your AI agent a blueprint to follow. It can even tell you no, a real no-go verdict. Other skills help you build it right. This one makes sure you're building the right thing.
Vibe-check skill was featured in Open Source (68.6k followers), Developer Tools (515.9k followers), Artificial Intelligence (473.7k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 221.7k products, making this a competitive space to launch in.
Who hunted Vibe-check skill?
Vibe-check skill was hunted by Amer Arab. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Amer Arab