Mobile Prototyping App I've been working on over 3 years

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Hi I'm the developer of UX-App if you have any questions then fire away :) Just thought I'd give you all some background. I'm a high school teacher by day and developer by night. I was bitten by the start-up bug a few years ago and UX-App is my first product launch. In between a full time job and a 5 month old at home it has taken about 3.5 years to complete the project. I'd like to think its a unique product that holds its own against the existing competition and even has some features that no other tool has. My favorite aspect is the visual code builder which allows designers to easily define complex animation and program flow without writing code :) Let me know what you think. btw: I borked a couple of submissions in the last 12 hours, hope one final post is ok. Cheers, Eli link: https://www.ux-app.com

Visit product View on Hacker NewsJan 20, 2015

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

85%85% 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

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released

63%63% 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 · Strong signals: builder · 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: month, way · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

15%15% 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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