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Thockfactory – An Online Configurator for Custom Keycaps Enthusiasts

Hacker News

Thockfactory – An Online Configurator for Custom Keycaps Enthusiasts

I'm a software engineer and keyboard enthusiast who wanted custom keycap sets but couldn't find anything I liked. That led me to build Thockfactory, an online keycap configurator that lets anyone design and order their own custom sets. The first version launched back in April 2024, but after feedback and my own experience using it, I realized the shop and configurator needed a complete overhaul. I took down the site completely and have rebuilt almost everything since then, focusing on a better UX and a smoother ordering process. Would appreciate any feedback, bug reports, or ideas. You can try the configurator here: https://thockfactory.com Happy to answer questions about the tech stack, manufacturing, or anything else.

Visit product View on Hacker NewsJun 27, 2025

Actual performance

5points

Did not reach leaderboard

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

81%81% 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.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos

48%48% 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: ide, io · Missing: https docs, excited, just released

39%39% 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 · Missing: mobile apps, ios, personal

28%28% 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

12%12% 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.

Correct prediction on native model

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