I Made a Massively Multiplayer Board Game to Test Django Channels

Hacker News

http://codewords.io/ I've been trying to get permission to run a game of it from the publisher and designer (CGE & Vlaada Chvátil) but I haven't heard back. I've found demonstrating that there's interest in what you're doing is the best way to get ahold of people. So.. Anyone interested in trying a massive game of Codenames over Twitch? Not quite "For Science!" more "For Engineering!" Which, let's be honest here, has a much better ring to it. If you'd like to know more, I put up an FAQ up here: http://codewords.io/faq/ If you'd like to sign up to help, there's a form over there: http://codewords.io/ Screenshots and a game play overview can be found somewhere under this: https://imgur.com/a/3xtZC

Visit product View on Hacker NewsNov 10, 2017

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

67%67% 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 · Missing: supports, reddit linkedin, podcasting

56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

34%34% 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

12%12% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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