We're Fixing the Broken UX

Hacker News

Hey HN, We’re excited to introduce Punkt, a platform we’ve been building to fix the broken UX. Punkt manages the entire pre-production process of UX by streamlining research, IA (Information Architecture), planning, and prototyping with data-driven, real content. This approach ensures that valuable resources are not wasted on high-fidelity visual design and pixel-perfect code execution prematurely, ultimately saving your organization millions of dollars annually by avoiding failing processes and eliminating wasted months of deep work. Punkt is currently in private beta, and we’re gearing up for a public launch in Q4. We invite you to sign up and get early access to test out Punkt and provide us with valuable feedback. It integrates with Figma, push content to all major CMSs as well as through API. If you’re interested, please visit Punkt.co to sign up for the beta. We’d love to hear your thoughts and experiences as we continue to refine and improve our tool. Thanks for your support, and we look forward to your feedback!

Visit product View on Hacker NewsMay 18, 2024

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

86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: visual, code · Missing: mac, agents, macos

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: introduce · 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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