Demand Intelligence and AI Design

Hacker News

dxmax ( https://dxmax.cc ) generates multi-page product wireframes from a prompt. Each project is a browsable filesystem of HTML/CSS pages sharing a design system. Your edit prompts lead to targeted patches rather than full-page regenerations. When you start a project you get several design variations, pick one switch between them anytime. Output is editable HTML. Share and edit/prompt with team-mates in real-time. In-built demand data-based idea catalog (Lodestar Engine): Tons of SaaS markets mapped with Google search demand, leader revenue ranges, and ~60 product wedges within them. Pick one and click to design in the editor. Free: 1 prompt / 24h. Pro: $19.99/mo, 100/day.

Visit product View on Hacker NewsJun 23, 2026

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

67%67% 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 · Missing: supports, reddit linkedin, podcasting

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue, saas · Missing: arr, mrr, profit

29%29% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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