Simple tool to hang your art at museum height

Hacker News

I recently found out about a concept called 'Museum Height' for hanging art, where the center-line of a piece or a group of pieces is at 57 inches (144cm), which is average eye level. I love the effect, but I hate doing all the measurement and math to make sure that I'm putting the nail at the right height. This made it so I'd always delay hanging art on my walls. I started with a spreadsheet and some formulas, but kept feeling the itch to make an app. Welp, here it is! It's super simple, and I wrote it as a literal single html page app with jquery out of nostalgia for simpler times. The code is awful, but it was fun to write and unlike a lot of modern frameworks I think this page will work even as the sun consumes the earth. Bonus: All state is stored in the URL so you can send others your measurements easily. Please let me know what you think and if it helped you hang that piece of art that's been sitting on the floor for way too long!

Visit product View on Hacker NewsJan 10, 2024

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

82%82% predicted probability of success on Product Hunt, 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 · Missing: https docs, excited, just released

67%67% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting

61%61% 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

38%38% 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

32%32% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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