My attempt at injecting creativity into a stale genre [video]

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I got the idea for this watching a lot of Chernobyl Family. Typing "soviet control room" into google gives a lot of cool pictures, usually with a giant depiction of the core in the center of the room. The Soviets had to smuggle in Intel and IBM tech during the cold war, so no one had access to good computers, except at work. I imagined a bored engineer at Chernobyl Nuclear power plant with the most powerful computer in Russia behind him, SKALA. He modifies the computer control program so it is more fun to play. He sets off larger and larger chain reactions while still keeping the reactor sub-critical, until one day, meltdown. Years later, he sneaks back into the rubble, steals the control code and publishes it as an internationally popular video game, called Reaktor.

Visit product View on Hacker NewsSep 10, 2024

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

79%79% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: google, computer, code · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

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

nativeThis product was originally launched on this platform.

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

41%41% 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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