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I made an AppleTV party game using HTML SSE

Hacker News

I made an AppleTV party game using HTML SSE

Hi Hacker News, I was experimenting with HTML SSE (alternative to web socktets), and made a fun Apple TV party game in the process. It turned out to be great for my situation (where you need to do realtime synchronization from server to client(s) but web sockets were overkill). You can check out the game here: https://electrollama.net/alphaparty I wrote a post about configuring Nginx to work with SSE when used as a reverse proxy for node (this was a bit tricky... my server worked fine when connecting straight to node, but not through a proxy without some monkeying around) https://www.electrollama.net/blog/2017/6/22/html-sse-with-no... Also, my first post on HN, despite being a lurker here for over 5 years! I apologize if I've formatted this wrong...

Visit product View on Hacker NewsJun 28, 2017

Actual performance

1points

3comments

Did not reach leaderboard

Launch Intel predictions

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

76%76% 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.

Hacker NewsStrong engagement from HN community · Strong signals: nginx, llama, hacker news · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: apple, new, using · Missing: mac, agents, macos

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

39%39% 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

35%35% 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

19%19% 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.

Incorrect prediction on native model

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