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AlphaTales
Turn product ideas into AI-ready build plans
AlphaTales helps founders and product teams turn rough product ideas into structured requirements, market research, workflows, feature specs, architecture, and Dev Packs for AI coding tools. Instead of prompting Cursor, Claude Code, or Codex from scattered notes, AlphaTales creates the planning context first, so builders can move from idea to implementation with more clarity and less rework.
I am Libin, founder of AlphaTales. I built AlphaTales after seeing the same problem repeatedly while working with AI coding tools: building is getting faster, but the planning layer has not caught up.
A rough idea is often enough to start generating code, but not enough to build the right product. The missing details usually show up later as rework: unclear scope, missed edge cases, weak feature definitions, or architecture decisions that were never properly thought through.
AlphaTales helps solve that before coding starts. It takes a rough product idea and guides it into a structured plan, including project breakdown, market research, workflows, feature specifications, architecture, and a Dev Pack that gives AI coding tools clearer context to work from.
We are launching AlphaTales today and would love for you to try it.
If you are a founder, indie builder, product person, or anyone building software with AI, I’d really value your feedback on where the workflow helps, where it feels too heavy, and what would make it more useful for your build process.
About AlphaTales on Product Hunt
“Turn product ideas into AI-ready build plans”
AlphaTales was submitted on Product Hunt and earned 8 upvotes and 3 comments, placing #54 on the daily leaderboard. AlphaTales helps founders and product teams turn rough product ideas into structured requirements, market research, workflows, feature specs, architecture, and Dev Packs for AI coding tools. Instead of prompting Cursor, Claude Code, or Codex from scattered notes, AlphaTales creates the planning context first, so builders can move from idea to implementation with more clarity and less rework.
On the analytics side, AlphaTales competes within Software Engineering, Artificial Intelligence and Vibe coding — topics that collectively have 514k followers on Product Hunt. The dashboard above tracks how AlphaTales performed against the three products that launched closest to it on the same day.
Who hunted AlphaTales?
AlphaTales was hunted by Libin Joseph. 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 AlphaTales including community comment highlights and product details, visit the product overview.
Libin Joseph
I am Libin, founder of AlphaTales. I built AlphaTales after seeing the same problem repeatedly while working with AI coding tools: building is getting faster, but the planning layer has not caught up.
A rough idea is often enough to start generating code, but not enough to build the right product. The missing details usually show up later as rework: unclear scope, missed edge cases, weak feature definitions, or architecture decisions that were never properly thought through.
AlphaTales helps solve that before coding starts. It takes a rough product idea and guides it into a structured plan, including project breakdown, market research, workflows, feature specifications, architecture, and a Dev Pack that gives AI coding tools clearer context to work from.
We are launching AlphaTales today and would love for you to try it.
If you are a founder, indie builder, product person, or anyone building software with AI, I’d really value your feedback on where the workflow helps, where it feels too heavy, and what would make it more useful for your build process.