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Thrice Rejected by Apple for Enabling Porn, Vanish is not a porn app

Hacker News

Thrice Rejected by Apple for Enabling Porn, Vanish is not a porn app

It's a simple way to share pictures and see who's looking back. How can you make your pictures look better? Put a blur on it (think Portlandia)! And when your friends want to see what's behind the blur, you'll instantly be notified. Not creepy at all. Let's call it something nice, like digital eye-contact. We built Vanish at Xylo Media as a fun exercise in developing an HTML5 mobile framework. And, more importantly, because the world badly needs another photo-sharing app. We're excited to see what the internets do with this. Once again, don't use it for porn or to #FreeTheNipple, we have like a ton of moderators. All the moderators. Download it now at www.vanish.fm or directly from iTunes: https://itunes.apple.com/us/app/vanish-fm/id793488785 Feedback appreciated, trolling expected.

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
81%81% 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: apple · Missing: mac, agents, macos
79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
68%68% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited · Missing: https docs, just released, exist
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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% 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.

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