Et

Etch a Sketch with a Gamepad

Hacker News

Etch a Sketch with a Gamepad

While toying with receiving gamepad commands in the browser, I made this today. It's a simple Etch A Sketch that can be controlled by joysticks from a connected gamepad. (It's also possible to move the rotary buttons with a mouse.) In a way it's a little easier than the original, because it allows to turn the 'draw' function on or off, so the user can position the dot somewhere and start drawing from there. But joysticks are quite imprecise, so drawing curves or diagonals is pretty hard! The gamepad can be configured to attach axes and buttons to the actions. The current drawing can be downloaded as a .png at any time by clicking on the "download" link.

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Actual performance

1points
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Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: 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.
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.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
43%43% 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
14%14% 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
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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