Paste Keyboard – Insert saved text with one tap

Hacker News

Hi HN, We just launched Paste Keyboard — an iOS keyboard app that lets you customize and insert your own text snippets, templates, and phrases with a single tap. Why we built it: As indie developers, we often found ourselves typing the same phrases repeatedly — whether it’s email templates, code snippets, or support replies. Paste Keyboard solves that by letting you build your own personal keyboard for anything you frequently type. Key Features: • Fully customizable keyboard (insert any text or symbol) • Organize snippets into groups • Works system-wide (in any app) • Offline-only: no data collection, no cloud sync • One-time purchase, no ads or subscriptions Price: Normally $19.99 HN Launch Giveaway: We’re giving away free promo codes for the HN community. Feel free to try it out and let us know what you think! Promo Codes (please reply which one you used so others know): AYKLLFW9KKWP 6JHN669FMX7A RH6KYP3T7ET4 6LL4PARPJXJX EXJXJHRR3ANX If you find it useful, we’d greatly appreciate any feedback, ideas, or a quick App Store review. App Store: https://apps.apple.com/us/app/copykeypad/id6744092980 Thanks for checking it out!

Visit product View on Hacker NewsMay 20, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: apple, apps, email · Missing: mac, agents, macos

84%84% 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.

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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: ios, personal, apps · Missing: mobile apps, entrepreneurs, video

41%41% 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

35%35% predicted probability of success on AppSumo, 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

28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue

24%24% 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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