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45M – Virtual console with a 16x16 display and 256 bytes of memory

Hacker News

45M – Virtual console with a 16x16 display and 256 bytes of memory

45M is a uxn-inspired virtual console with a 16x16 display and 256 bytes of memory. Here is a snake game: https://45m.m15o.net/system.html?r=D8IjVQA1I1QBNSNUAjUAHwEEDyIjAAEVJMkBFS8WASwcLTYvJQGrEwGGHAAkyAwpKww2KzUqDAMtIQEvEgIkxxRIV2h2AAAbLTY4ECYBvRItNi4KLTUbLTY4EAHwGgG9Ei02LgktNRstNjcQJgG9Ei02DC01Gy02NxABDxoBvRItNgstNRskyCkrDDYj/wEWKgwDAQEhAYgSAi02LyUB/xoBvRMtNiP/ARYbJMgMNiTINSTICwHIBx0ByQcbIwAABwAeAccHAAgD3Q== The console is available on: https://45m.m15o.net/ Hope you enjoy it!

Visit product View on Hacker NewsJan 28, 2023

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

47%47% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

40%40% 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

37%37% 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

33%33% 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

28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

19%19% predicted probability of success on BetaList, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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