The First web site ever programmed in ActionScript 3.0

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http://www.burrrn.com In 2006 Adobe open sourced the ActionScript Virtual Machine (AVM2), I started to work on the open source project redtamarin on 2008, and now I can finally show a web site entirely programmed with ActionScript 3.0 on the backend. here the basic software stack: - Linux Ubuntu 64-bit for the operating system - Apache for the HTTP server - Redtamarin for the backend programming - CouchDB for the database everything is handled by one single ABC (actionscript bytecode) file, I did that at first to keep things simple but in fact it is extremely convenient to have a whole web site logic compile to a single file. All in all developing a full web site in AS3 has been a great experience and I do hope it will show around that with redtamarin you can build real products and not just toying around. Let me know what you think or if you have any questions

Visit product View on Hacker NewsFeb 19, 2015

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, single, code · Missing: agents, macos, agent

87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

87%87% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

27%27% 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

14%14% 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

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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