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Figr AI
Product-aware AI that thinks through UX
Figr is an AI product agent for PMs. Parse your live app via Chrome extension, import from Figma, drop in docs and analytics. It maps flows, spots edge cases, runs UX reviews, builds A/B variations and prototypes that match your app's design language. Every recommendation backed by 200K+ UX patterns.
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Developer & User Discourse
[Redacted] • Mar 9, 2026
The "product-aware" framing is what catches my attention here — most AI design tools feel like glorified autocomplete, but grounding suggestions in actual product context could genuinely change how PMs and designers align early. We're building an invoice scanning product and the UX decisions around edge cases (damaged invoices, weird layouts) are where we constantly struggle to get AI and design thinking to meet. How does Figr actually ingest and maintain that product context — is it a one-time setup or does it learn continuously from how your team ships decisions over time?
[Redacted] • Mar 9, 2026
The product-aware framing is what catches my attention here — most AI design tools feel like glorified asset generators that have no idea what your product actually does or who uses it. The delta between generic AI output and context-aware suggestions is enormous in practice. Curious how Figr AI ingests and maintains that product context over time — especially as the product evolves and earlier assumptions become stale.
[Redacted] • Feb 23, 2026
The "think before it designs" positioning is exactly what's missing from most AI design tools. I've used V0 and Bolt — they're great for speed but terrible at catching "what happens when the API fails?" edge cases. Does Figr flag these in the flow mapping stage or only during prototype review?
[Redacted] • Feb 19, 2026
A really cool product for business analysts and designers. I’ve already shared it with my team to check out.
[Redacted] • Feb 18, 2026
@moksh_garg Hey Moksh.I loved the idea and will give it a try soon.I just wonder do we need Claude Code or Codex or any kind of agentic coding tool in order to use Figr AI for actual development?Thanks!
[Redacted] • Feb 18, 2026
Love the ‘think before design’ approach 👏 Most AI tools skip the product thinking part — this feels genuinely useful for real teams.
[Redacted] • Feb 18, 2026
congratulations on the launch 🎊
[Redacted] • Feb 16, 2026
Hey Product Hunt 🎉 I'm Moksh, co-founder of Figr AI.
Every AI design tool skips the hard part. They jump straight to screens. But that's not how product design actually works. You think through the problem first. The flows, the edge cases, the states nobody remembers until production. Then the design comes.
So we built Figr to think before it designs.
You feed it your actual product, a Chrome extension that parses your live webapp, screen recordings, your Figma with design tokens, competitor screenshots, docs. It builds a persistent memory of your product. Then when you ask for something new, it doesn't start from a blank prompt. It starts from your product.
It surfaces edge cases you missed. Maps user flows. Generates PRDs. Runs UX reviews. All grounded in 200,000+ real-world UX patterns we trained it on. The prototype comes after the thinking, and it looks like your app, not a generic AI mockup.
How Figr is different from Lovable, Bolt, V0: Those are great interface builders. If you know exactly what you want, they'll build it fast. But they don't help you figure out if you're building the right thing. Figr is more like an AI product partner that happens to also design. It questions your assumptions and catches what you missed.
What you can do with Figr AI:
- Paste a PRD and get back structured flows, edge cases, and an interactive prototype, all connected on one canvas
- Parse a live webapp via our Chrome extension and redesign features in your actual design language
- Import your Figma with design system tokens and generate high-fidelity prototypes that match your product
- Run UX reviews and accessibility audits on existing screens
- Compare competitor flows side by side (we did Cal.com vs Calendly, Linear vs Jira)
- Generate test cases for complex user journeys
Here are some real-world UX problems teams have worked through on Figr → figr.design/gallery
Where we're headed:
The world can have better products. Not every team has 10 designers. Not every PM can articulate visual intent perfectly. Figr closes that gap, not by replacing designers, but by giving every product person the ability to think through UX properly and build the best user experience for their users.
We'd love your feedback, especially if you've hit the same wall with AI tools that generate pretty screens but skip the product thinking. That's exactly the problem we're obsessed with solving.
Try it here → app.figr.design
PS: A huge shoutout to our thousands of our early users who broke things, flagged issues, and pushed us to make Figr better, this launch is yours as much as ours.
Every AI design tool skips the hard part. They jump straight to screens. But that's not how product design actually works. You think through the problem first. The flows, the edge cases, the states nobody remembers until production. Then the design comes.
So we built Figr to think before it designs.
You feed it your actual product, a Chrome extension that parses your live webapp, screen recordings, your Figma with design tokens, competitor screenshots, docs. It builds a persistent memory of your product. Then when you ask for something new, it doesn't start from a blank prompt. It starts from your product.
It surfaces edge cases you missed. Maps user flows. Generates PRDs. Runs UX reviews. All grounded in 200,000+ real-world UX patterns we trained it on. The prototype comes after the thinking, and it looks like your app, not a generic AI mockup.
How Figr is different from Lovable, Bolt, V0: Those are great interface builders. If you know exactly what you want, they'll build it fast. But they don't help you figure out if you're building the right thing. Figr is more like an AI product partner that happens to also design. It questions your assumptions and catches what you missed.
What you can do with Figr AI:
- Paste a PRD and get back structured flows, edge cases, and an interactive prototype, all connected on one canvas
- Parse a live webapp via our Chrome extension and redesign features in your actual design language
- Import your Figma with design system tokens and generate high-fidelity prototypes that match your product
- Run UX reviews and accessibility audits on existing screens
- Compare competitor flows side by side (we did Cal.com vs Calendly, Linear vs Jira)
- Generate test cases for complex user journeys
Here are some real-world UX problems teams have worked through on Figr → figr.design/gallery
Where we're headed:
The world can have better products. Not every team has 10 designers. Not every PM can articulate visual intent perfectly. Figr closes that gap, not by replacing designers, but by giving every product person the ability to think through UX properly and build the best user experience for their users.
We'd love your feedback, especially if you've hit the same wall with AI tools that generate pretty screens but skip the product thinking. That's exactly the problem we're obsessed with solving.
Try it here → app.figr.design
PS: A huge shoutout to our thousands of our early users who broke things, flagged issues, and pushed us to make Figr better, this launch is yours as much as ours.