Ti

TinyEngine – Game Engine for Microcontrollers

Hacker News

TinyEngine – Game Engine for Microcontrollers

TinyEngine - A game engine to turn your ESP32/Arduino into a mini retro game console! This project came to be because I wanted an easy way to make games on an Arduino without reflashing the microcontroller or going through the whole Arduino IDE process. At first I used a Python Engine and realised that was not going to be feasible (2KB SRAM on Arduino is a pain) and no OS, so I decided to make my own lightweight virtual machine with an interpreter that is just dedicated to reading games from an external removable storage device on the fly!

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide, game engine · Missing: https docs, excited, just released
71%71% 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
59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: mac, tiny · Missing: agents, macos, agent
48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
40%40% 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
38%38% 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
16%16% 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.

Incorrect prediction on native model

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