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Twitch Plays Doom

Hacker News

Twitch Plays Doom

This is the inevitable post after jeff_harris released restful-doom https://news.ycombinator.com/item?id=14919534 twitch-plays-doom is a Python Twitch IRC->restful-doom proxy to control doomguy with a staggering 8 second delay. The project was Saturday night's 'I wonder if I can make this work' session. Since it's been live there has been a team of four successfully make it to half way through E01M01. I've since added godmode to the chat (you can guess the command). This was fun, hope others get some enjoyment out of it. Twitch Stream/Chat https://www.twitch.tv/dddanmar/ twitch-plays-doom https://github.com/dddanmar/twitch-plays-doom/ restful-doom https://github.com/jeff-1amstudios/restful-doom/ chocolate-doom https://github.com/chocolate-doom/chocolate-doom/

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Actual performance

113points
41comments
Made the leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
78%78% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: ios, way · Missing: mobile apps, personal, entrepreneurs
53%53% 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
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: ios · Missing: supports, reddit linkedin, podcasting
40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
15%15% 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 · Missing: web3, crypto, cryptocurrency
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

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