We made a design review tool for faster iterations

Hacker News

My friend and I created Prototide, a design review AI extension for UX designers, web developers, or anyone building on the web. Our inspiration came from watching our designer friends spend countless hours seeking feedback during early iterations. Elevator Pitch: Prototide is an AI co-pilot for design reviews, seamlessly integrated into your browser as an extension. It provides real-time, actionable insights to streamline your design iteration process and elevate your design quality. What This Tool Does: - Reviews your design screens or full web pages within your workflow. - Provides targeted, specific feedback based on your defined goals and concerns. - Enhances your decision-making speed and design precision with AI-driven insights. Who It Targets: Prototide is for UX designers, web developers, and anyone who wants to boost their design efficiency without leaving their browser. We'd love to hear your thoughts. Feel free to ask any questions or share your feedback! Our landing page also includes demo videos to showcase how Prototide works. https://prototide.app/ Thank you!

Visit product View on Hacker NewsMay 31, 2024

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: reviews · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

18%18% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

9%9% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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