Yoink AI – macOS AI app that edits directly in any textfield of any app

Hacker News

Hey HN, I built Yoink AI to solve my biggest frustration with AI tools: they constantly break my workflow. I was tired of copy-pasting between my apps and a chatbot just for simple edits. Yoink AI is a macOS app that brings the AI to you. With a simple hotkey (⌘ Shift Y), it works directly inside any text field, in any app. If you can type there Yoink can write there Key Features: - Automatically captures the context of the text field you're in, so you dont have to manually prime it - Create custom voices trained on your own writing samples. This helps you steer the output to match your personal style and avoid generic, robotic-sounding text - Yoink doesnt just dump text and run. It delivers suggestions as redline edits that you can accept or reject, keeping you in full control. It's less of a chatbot and more of a collaborative writing partner that adapts to your workflow, not the other way around. There's a free tier with 10 requests/month and we just launched a pro trial, which will get you 100 requests for the first 7 days to try it out! I'm here to answer questions and would love to hear what you think - like all early stage start ups, feedback is always deeply appreciated

Visit product View on Hacker NewsAug 28, 2025

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

91%91% 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 · Missing: supports, reddit linkedin, podcasting

86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

54%54% 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

36%36% 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

34%34% 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 · Missing: arr, mrr, revenue

20%20% 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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