MetaDock – Productivity browser and window manager for Windows 10/11

Hacker News

Hey HN! This is a project I've been working on personally for over 3 years now. MetaDock lets you create a grid layout of different browsers, native apps and/or games. These layouts are auto-saved, and restore seamlessly. You can have as many layouts as you want. A collection of layouts is called a workspace, and restores to the same size/position across multiple monitors. You can switch between, export/import workspaces and much more. NOTE: Apps and games must be running first to mount into MetaDock. It also has its own browser engine, which allows it to create and control its own browser windows with some advanced functionality - such as the ability to sign in to the same website multiple times via multiple profiles. A load of other features Available right now for $1 for a limited time https://www.metadock.net (goes to the steam page) P.s. my video is old footage, it looks better and has more features than the featured video.

Visit product View on Hacker NewsAug 25, 2024

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Actual performance

3points

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Launch Intel predictions

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

85%85% 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: apps, dock · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, apps, video · Missing: mobile apps, ios, entrepreneurs

49%49% 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

48%48% 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

30%30% 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

16%16% 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.

Correct prediction on native model

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