Boop – Self destructing animating text messages

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http://boopapp.com/ I made boop with a friend; an experimental ephemeral messaging app. Here's the official explanation I wrote: Boops are self destructing animated text messages. Boops display one word at a time, so the recipient can’t screenshot them. Throw in emoji and you can create animations called Boopmations. Have fast, back and forth private animated text chats with anyone. Boops delete themselves as soon as you read them, so there’s no history of your private chats. It's the first version so it's fairly raw, but during beta testing it proved really popular. It seems a bit silly at first glance, but quite a few people got hooked on it as it's quite different to stuff before. Tech: Android and iOS native apps backed by a parse.com backend. Thoughts on Parse.com: Reasonably good, previously I've used heroku and built my own JSON API for a mobile backend. It was pretty damn fast to create my own custom functions in cloud code and generally quite a good experience. Did encounter quite a few problems on both iOS and Android, particularly around local storage/caching but nothing we couldn't work around for a first version. Techcrunch covered it today: http://techcrunch.com/2014/11/10/boop-messaging/

Visit product View on Hacker NewsNov 10, 2014

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

88%88% 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: apps, code · Missing: mac, agents, macos

70%70% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% 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

24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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