Analyze websites, apps, screenshots, PDFs, and product experiences with AI-powered UX audits. Discover usability issues, conversion blockers, and actionable recommendations.
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Maker
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Hi Product Hunt!
I'm Krushik Ginoya, the founder of Priblin.
Over the past few years, I've worked with startups and product teams, and I kept seeing the same pattern: products collected analytics, but teams still struggled to understand why users were dropping off or getting stuck.
Most UX research is expensive, time-consuming, and often out of reach for early-stage startups.
That's why I built Priblin.
Priblin is an AI-powered UX Intelligence platform that analyzes websites and digital products to uncover usability issues, identify user friction, and provide actionable recommendations before those problems impact conversions, retention, or growth.
With Priblin, you can:
Discover hidden UX issues
Get AI-powered recommendations
Improve user journeys and conversions
Make faster product decisions
This launch is just the beginning. I'm actively building Priblin based on real user feedback, and I'd genuinely love to hear your thoughts.
If you have a website or product you'd like me to analyze—or ideas for features that would make Priblin more useful—please leave a comment. I'll be here throughout the day answering every question.
Thank you so much for checking out Priblin and supporting independent makers.
— Krushik Ginoya
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How does Priblin actually detect frustration, just session replay heatmaps or something deeper reading rage clicks and hesitation patterns? Curious how it compares to something like Hotjar or FullStory since those already track user behavior pretty closely.
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Maker
@hakkdinolxata Thanks for asking! Priblin isn't trying to replace Hotjar or FullStory. Those tools are excellent at showing what users do. Our goal is to explain why users struggle and recommend concrete UX improvements using AI. We're also exploring deeper behavioral analysis, including hesitation patterns and rage clicks, as the product evolves.
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How does Priblin actually detect frustration, just session replay heatmaps or something deeper reading rage clicks and hesitation patterns? Curious how it compares to something like Hotjar or FullStory since those already track user behavior pretty closely.
@hakkdinolxata Thanks for asking! Priblin isn't trying to replace Hotjar or FullStory. Those tools are excellent at showing what users do. Our goal is to explain why users struggle and recommend concrete UX improvements using AI. We're also exploring deeper behavioral analysis, including hesitation patterns and rage clicks, as the product evolves.