Custom Keylabels for Your Custom Keyboard Layouts

Hacker News

Hey HN, This is a bit of a weekend project that I'm currently trying out. When I'm changing the layout of my moonlander, I wish there was a way to change the labels of the keys as well. So I thought about making some label stickers that sit over the key, and after some experimentation I'm pretty happy with the results, however I need a few other "keyboard buddies" to make it economical. So I'm introducing https://kapd.au as a way for people to download the same template I used, and send it to me to get it printed out. I run in batches of 8 and while atm the prices are a little high, they can come down significantly if I get a few orders and verify the demand first. Let me know what you think and please feel free to send it to any people you know who have custom keyboards and layouts!

Visit product View on Hacker NewsNov 11, 2022

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

80%80% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

27%27% 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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