Robata, macOS window selector: put it on the grill

Hacker News

Hello HN, This is a macOS app that allows you to see all your open windows on each monitor and select the one you want. It also lets you view the current state of things like email or chat windows, terminal processes, and more. You can use "cmd" and the key above the tab key for alt-tab like behaviour. You can also toggle the UI by resting a finger on the corner of your trackpad. I also wrote some dev details here: https://madebyenzo.com/#robata

Visit product View on Hacker NewsAug 19, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, email · 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.

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

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

44%44% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

42%42% 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

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

13%13% 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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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