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AI Product Discovery Playbook
Run product discovery with AI in hours, not days
Most discovery guides are theoretical. This one isn't. Built from 3 real client projects, this interactive playbook shows exactly how to use AI (Perplexity, LLMs, NotebookLM) across 5 discovery phases — Framing, Market Research, Customer Intelligence, Diagnosis, and Validation Planning. What you get: → 5-phase framework with AI tools mapped per phase → 3 real case studies (e-commerce, UX, B2B CRM) → Copy-ready prompts for each phase → Works offline. No account. Single HTML file.
Hey PH! I built this after running 3 actual client discovery projects where I used AI to compress timelines from weeks to days.
The gap I kept seeing: most AI guides for PMs are either too generic or too theoretical. So I documented exactly what I did — prompts, tools, outputs — across three very different products
(e-commerce, UX deep dive, B2B CRM).
Happy to answer questions about any of the phases or how to adapt the framework to your stack.
About AI Product Discovery Playbook on Product Hunt
“Run product discovery with AI in hours, not days”
AI Product Discovery Playbook was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #156 on the daily leaderboard. Most discovery guides are theoretical. This one isn't. Built from 3 real client projects, this interactive playbook shows exactly how to use AI (Perplexity, LLMs, NotebookLM) across 5 discovery phases — Framing, Market Research, Customer Intelligence, Diagnosis, and Validation Planning. What you get: → 5-phase framework with AI tools mapped per phase → 3 real case studies (e-commerce, UX, B2B CRM) → Copy-ready prompts for each phase → Works offline. No account. Single HTML file.
On the analytics side, AI Product Discovery Playbook competes within Design Tools, Productivity and Artificial Intelligence — topics that collectively have 1.4M followers on Product Hunt. The dashboard above tracks how AI Product Discovery Playbook performed against the three products that launched closest to it on the same day.
Who hunted AI Product Discovery Playbook?
AI Product Discovery Playbook was hunted by Keythe Rueckert. 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 AI Product Discovery Playbook including community comment highlights and product details, visit the product overview.
Keythe Rueckert