Data month 2026-10
Uinston
Uinston
Uinston
uinstonUinston analyzes your website's UX with AI, flagging applied and violated design principles like Hick's Law.

According to AlphaMoat, as of 2026-10, the Chrome extension Uinston has 91 users (-8.1% MoM), rated 3 (2 reviews) — ranked #4,560 of 10,012 AI browser extensions, and #236 of 461 in Image & Design.

Users · 2026-10
91-8.1%
Rating
★ 32
Overall Rank (10,012)
#4,560
Image & Design Rank
#236/ 461

What is Uinston

Product Overview

Uinston is your AI UX partner. It analyzes a page's design and identifies which UX and user-psychology principles, from Hick's Law and Fitts's Law to more than a hundred others, were used or violated, then flags areas for improvement that can move your engagement metrics. It helps designers and product teams apply proven patterns and fix friction directly on the page.

Key Features

UX analysis. Patterns. Hick's Law. Fitts's Law. Flags. Metrics. Design.

Show full Chrome Web Store description▾

Your AI UX partner. Refine your website's UX with UInston - the AI-driven tool for UX pattern analysis. It analysis your design and identify key UX principles like Hick's Law and Fitts's Law and 100+ other principles, that were used on the page or were violated. UInston also flags areas for potential enhancement, directly influencing your metrics.

With UInston, you're empowered to: 🧠 Decode and apply UX and User Psychology Patterns that enhance user engagement. ⚠️ Detect and rectify violations in established UX norms to ensure a seamless experience. 🚀 Discover and implement potential Improvements to drive your page metrics.

Extension profile

Version
v0.3
Size
50.43KiB
Languages
English
Updated
2024-01-26

User Growth Trend

Shared axis · hover for monthly values
Latest 91MoM-8.1%
-35.6471.28106.9226-0326-0426-0626-0826-10
2026-03
92
—
2026-04
87
-5.4%
2026-05
88
+1.1%
2026-06
90
+2.3%
2026-07
89
-1.1%
2026-08
95
+6.7%
2026-09
99
+4.2%
2026-10
91
-8.1%

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Data month: 2026-10 · User counts and ratings come from public Chrome Web Store data, aggregated monthly. See methodology.