Beta Testers, try out our features – stomigo.com

Hacker News

Hello all! Our media management system is in beta and we'd love to have you as part of our team. We're offering a free 5GB account; would you be willing to try some of StoAmigo's cool features, such as: -Unique permission settings that let you control who downloads, views or shares your files -Ability to cancel access to shared files – even after they’ve been opened -Seamless streaming of your digital media directly from the cloud (no taking up hard drive space with duplicate copies) -Continuous play (perfect for your photo slideshows and music playlists) -Our cool QR code feature for the StoAmigo Android app, which allows you to share files almost immediately. It's similar to Samsung's "Bump Share" except you don't need a Samsung phone -- any smartphone that can read QR codes is fair game! More cool features are on the way. In the meantime we'd like you to come on in, kick the tires, take a long, leisurely drive and hang out with us! If you're interested, please send an email to lori@stomigo.com and include "HN" in the subject line. Thanks in advance!

Visit product View on Hacker NewsApr 18, 2013

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

80%80% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: email, code, open · Missing: mac, agents, macos

43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

42%42% predicted probability of success on TrustMRR, 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

38%38% 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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · 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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