Paint-AR Augmented SurReality App

Hacker News

Paint-AR is a surreal new Augmented Reality app. Paint, add holograms & live FX. 3D print or export your creations to other VR apps or games. Join featured artists, record videos & share. Use GearVR or cardboard for holographic viewing in VR+AR mode. Download Paint-AR for iPhone or iPad (free): https://apps.apple.com/us/app/paint-ar/id1347083887 Video preview: https://youtu.be/AzlLtZmAyMY More info: https://Paint-AR.com https://www.producthunt.com/r/2527c169b26e8e Any feedback from the HN community, artists, app developers or AR/VR enthusiasts welcome! Droid & Magic Leap versions of Paint-AR with improved UI & tutorial coming soon.

Visit product View on Hacker NewsNov 14, 2019

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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TrustMRRFits verified-revenue profile · Strong signals: apps, video · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, 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

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: apple, apps, new · Missing: mac, agents, macos

45%45% 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: ide, io · Missing: https docs, excited, just released

36%36% 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: soon · Missing: plus, platform, intuitive

34%34% 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

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

13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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