SaaS Boat is a research library built specifically for designers, PMs, and developers working on SaaS products. Most screenshot tools just show you what exists. SaaS Boat tells you why it works (or doesn't). What's inside: — 258+ real SaaS apps documented — 3,600+ categorised screenshots — 400+ diagrams, edge cases and UX pattern — 820+ heuristic evaluations — Trend reports across onboarding, dashboards, pricing, empty states, and more — Shareable collections for team research No credit cards
Hey Product Hunt! 👋 I'm Ashish, the maker of SaaS Boat.
I built this because I kept running into the same problem: when I needed to research how top SaaS companies handle onboarding, empty states, or pricing pages, I'd spend hours crawling through apps, and still only get screenshots with zero context.
SaaS Boat is different. Every pattern comes with heuristic evaluations and diagrams — not just "here's what Notion does," but "here's what's working, what's weak, and why."
We're launching today with 258+ apps, 3,800+ screenshots, and 1,100+ diagrams and evaluations. Free plan, no card needed.
Would love your honest feedback, what categories or apps are you most interested in? I read every comment. 🙏
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The heuristic evaluations are what got me. Screenshots are one thing but knowing something works or doesn’t is way more useful. How long did it take to build?
Thank you for sailing on the SaaS Boat and the comment!
Took about 5 to 6 months total to build it out. Hueistic Evaluations were actually to most time consuming to conduct and hopefully that saves others' time while they do their own design research.
Cheers 🚣🏽
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The heuristic evaluations are what got me. Screenshots are one thing but knowing something works or doesn’t is way more useful. How long did it take to build?
@annie_pham Hey Annie!
Thank you for sailing on the SaaS Boat and the comment!
Took about 5 to 6 months total to build it out. Hueistic Evaluations were actually to most time consuming to conduct and hopefully that saves others' time while they do their own design research.
Cheers 🚣🏽