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Blend, a Mixed Reality prototyping tool

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Blend, a Mixed Reality prototyping tool

Here is Blend, A Mixed Reality prototyping tool. Link to demo video: https://www.youtube.com/watch?v=K3mU_BaqdPE Hey all! I finished the MVP of this iOS app, and I want to get some feedback on the idea in general. From my experience, developing augmented reality experiences is hard, so I believe creating an easier tool and platform to place digital content on any physical product or logo would be something valuable to brands, advertisers, and developers in general. What do you like and not like? What kind of AR games/experiences would you want to see on products and posters? Anyone who would want to create mixed reality experiences for brands and advertisement, or any businesses interested in creating AR mobile experiences, feel free to reach out to me at aem336@cornell.edu Thanks!

Visit productView on Hacker NewsMay 4, 2017
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
72%72% 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.
TrustMRRFits verified-revenue profile · Strong signals: ios, video · Missing: mobile apps, personal, entrepreneurs
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released
46%46% 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: platform · Missing: plus, intuitive, reviews
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: physical · Missing: mac, agents, macos
38%38% predicted probability of success on Product Hunt, 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 · 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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