Native macOS / iOS note app – Offline first – Search note by AI

Hacker News

Finding notes fast is still hard. You can organize with tags, PARA, or backlinks, but searching always feels slow and frustrating. That’s why I built ConniePad - native app on macOS & iOS. It works offline and lets you capture notes quickly anywhere. It has a comprehensive editor and local speech-to-text on iOS, so you can jot down ideas even without internet. But capturing notes is only half the story. What about finding what you need? ConniePad uses AI search. You can type queries like you would in Google or ChatGPT. It understands similar words, wrong typos, and abbreviations, so you get good results fast. Semantic search is off by default because it uses OpenAI service. You can turn it on in Settings or the Right Sidebar. I’m always working to make ConniePad better. If you have feedback, I’d like to hear it. Try it yourself at conniepad.com. No login or credit card needed. Just download and start.

Visit product View on Hacker NewsApr 29, 2025

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Did not reach leaderboard

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

90%90% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, google · Missing: agents, agent, cursor

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, google, way · Missing: mobile apps, personal, entrepreneurs

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

42%42% 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

19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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