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A simple, sharable physics playground in the browser

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A simple, sharable physics playground in the browser

I've always been interested in little physics sandboxes where you could build things, and was blown away by XKCD's machine a few years ago ( https://news.ycombinator.com/item?id=39953514 ), which is in-turn based on the classic "The Incredible Machine". Building tiny machines is fun, so I decided to build an app that let's you build one. It's less geared around moving balls from point A to point B, but is more of a freeform build; whatever you can dream up. Essentially, it let's you build simple machines, mechanisms, and simulations, and watch them play out. There's no practical purpose to it, other than it's fun to tinker, explore, and see what's possible. Try it out, ask questions, and let me know what you think! Live site: https://scribblerig.josnun.com Repo: https://github.com/JosNun/scribblerig

Visit productView on Hacker NewsMay 28, 2026
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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
76%76% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, new, tiny · Missing: agents, macos, agent
54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, 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.
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.
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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