Floaty – a tiny macOS tool to pin any window always on top

Hacker News

I built Floaty because I often need a window (notes, docs, videos or dashboards) to stay visible while working in another app, and macOS still doesn’t provide a built-in way to pin windows on top. Floaty is a small native macOS utility that lets you pin any window, adjust opacity, enable click-through and toggle it with shortcuts. It works with most apps (including browsers and Electron apps) and stays lightweight. Everything runs locally and it can work fully offline. This started as a tool I made for myself, then I realized I was using it every day, so I polished it into a standalone app. If you run into edge cases or have workflows I should support, I’d love to hear them.

Visit product View on Hacker NewsNov 27, 2025

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Actual performance

2points

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Did not reach leaderboard

Launch Intel predictions

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

94%94% 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: started, including · Missing: supports, reddit linkedin, podcasting

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

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

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

50%50% 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

33%33% 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

21%21% 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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