extraDock - Create more docks for macOS

Hacker News

Hey HN! Couple of months ago Apple's macOS dock system pissed me off, completely. I use 2–3 monitors—one for coding, one for chat, one for design - but macOS gives you only a single Dock that either lives on your primary screen or jumps to wherever your cursor is. Thought it’d be great to have separate “chat,” “dev” and “utilities” docks on each display, without installing some bulky Dock replacement. So I built an app extraDock. I did not expect much, but the feedback to this app was CRAZY NUTS. Got 130K views on Reddit, crazy traffic from SHOWNH, tons of feedback and direct mail. It's a PM fit. Thank you all! I've now implemented this load of feedback and updated extraDock to V2. Major update. Version 2.0.0 (10 Apr 2025) adds: - Dock modes: floating or fixed (pin left, right, top or bottom) - Screen mapping: save per‑monitor dock positions; auto‑hide/reappear on disconnect - Customization: set dock colors and rename docks - Icon rearrangement: drag‑and‑drop to reorder apps - Under the hood: improved dock positioning, memory management, animations and transitions PS! As a thank you to the community, I created a coupon for all here to get -15% OFF: SHOWHN Thank you all for the good energy and feedback! With gratitude, Frank Karro

Visit product View on Hacker NewsApr 20, 2025

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Launch Intel predictions

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

98%98% 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: created, para · 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: apps, month, para · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, 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

39%39% 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

22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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.

Correct prediction on native model

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