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Vibe Coding Plan
Turn your app idea into an ordered project plan
Smart agentic development platform that breaks projects into tasks, recommends the optimal AI model for each one, and executes automatically — saving developers 60% on AI costs.
We include a free AI model in users' plans so they can develop their ideas for free!
1. Exaplin your idea 2. Get structured plan 3. Execute it 4. Push to github 5. Use shared memory between tasks and smart model routing
About Vibe Coding Plan on Product Hunt
“Turn your app idea into an ordered project plan”
Vibe Coding Plan was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #121 on the daily leaderboard. Smart agentic development platform that breaks projects into tasks, recommends the optimal AI model for each one, and executes automatically — saving developers 60% on AI costs.
On the analytics side, Vibe Coding Plan competes within Productivity, Task Management and Tech — topics that collectively have 1.4M followers on Product Hunt. The dashboard above tracks how Vibe Coding Plan performed against the three products that launched closest to it on the same day.
Who hunted Vibe Coding Plan?
Vibe Coding Plan was hunted by Martin Tonev. 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.
For a complete overview of Vibe Coding Plan including community comment highlights and product details, visit the product overview.
We include a free AI model in users' plans so they can develop their ideas for free!
1. Exaplin your idea
2. Get structured plan
3. Execute it
4. Push to github
5. Use shared memory between tasks and smart model routing