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DotBigBang – Multiplayer game engine with 120fps and 2 second load time

Hacker News

DotBigBang – Multiplayer game engine with 120fps and 2 second load time

With all the turmoil in the game engine world recently, I thought I'd quickly post to show progress on our game platform dotbigbang.com. It's a fully integrated game platform where the multiplayer game editor and games all run on the web. You can make multiplayer games and share them with just a link with no setup at all. Breakdown of major features here: https://twitter.com/bobbydigitales/status/152647067103481856... We have comprehensive docs at http://docs.dotbigbang.com and a cosy Discord server at https://dotbigbang.com/discord All updates are on our blog here: https://blog.dotbigbang.com/

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Actual performance

269points
121comments
Made the leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: game engine · Missing: https docs, excited, just released
75%75% 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
63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews
50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
49%49% 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
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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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