English language movies in Milano

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Preface: I live in Milano, a very international city but with only 3 venues showing movies in their original language. I speak a fairly good English and enjoy watching British and American movies; I die a bit everytime I check the "official" website of the ONLY film festival (called 'Sound & Motion') that actually shows movies in English - http://goo.gl/t9MGh - I'm a software developer. Always been using Java but always willing to fool with the new kids in town. So, together with a close friend and dev (Ruby/PHP), we started re-thinking the whole thing and set down a few points: - we were going to use nodeJS; - we w to use Twitter Bootstrap; - we needed mongoDB. We came up with: http://soundmotion.it What do you think? @soundmotionit @mfirry @dhinus hello@smallcapitals.it PS: we named "our thing" smallcapitals and we can't remeber why :)

Visit product View on Hacker NewsMar 23, 2013

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

91%91% 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: new, using · Missing: mac, agents, macos

61%61% 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: io · Missing: https docs, excited, just released

48%48% 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 · Missing: plus, platform, intuitive

39%39% 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

32%32% 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

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.

Correct prediction on native model

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