Bu

Build your own lunar lander autopilot

Hacker News

Build your own lunar lander autopilot

Inspired by a previous post of a lunar lander game [1] and a subsequent autopilot for that same game [2], I made another lunar lander game where the user writes their own autopilot! Its written in Svelte, rendering with HTML Canvas. The options tab will let you set your initial conditions. The settings are encoded into the URL, and there's an option to include your autopilot code in the URL as well to save your state or share it with others. [1] https://news.ycombinator.com/item?id=35032506 [2] https://news.ycombinator.com/item?id=35090054

Visit product View on Hacker NewsJul 29, 2023

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: io · 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.

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

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

57%57% 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

42%42% 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

29%29% 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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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