Heroku for Live Streaming

Hacker News

Hi HN, We have been looking into creating a Heroku for Live Streaming for a while and now have the first version live. The idea is that anyone can setup and streaming node and then our infrastructure will handle all the transcode and CDN for the event. Unlike others this service would only charge you for the time and data used and have NO MONTHLY FEES. Some other key features are: Analytics: We give detailed analytics about who watched, where and if and when they dropped out along with a host of other data points. Chat: Viewers can chat live along with the content and the user streaming gets the transcript with their analytics. Tickets: You can ticket the stream if you wish, either free tickets so that you can fix costs or paid which will allow the user to generate revenue. We wanted to release this early version out to the community to see what people think and if there is anything missing or has been overlooked. We are currently testing the service with artists in the music industry but the service can be used for any event. Below is the URL for the site and we would appreciate any feedback. www.videowookie.com Thanks

Visit product View on Hacker NewsApr 10, 2016

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2points

Did not reach leaderboard

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

70%70% 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: user, code · Missing: mac, agents, macos

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, month, monthly · 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: ide, io · Missing: https docs, excited, just released

42%42% 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: host · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue · Missing: arr, mrr, profit

16%16% 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, paid · Missing: web3, crypto, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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