Boneless (Display up to 4 websites, in a minimalist way)

Hacker News

I was playing with multiple desktops on my new OS, there was a specific monitor in my first desktop that I wanted to just display a couple of websites, since there was nothing else going on in there. As I don't have a tiling wm I just tiled 2 full Chrome instances top and bottom. I wasn't satisfied with how it looked, because it still had all the top controls and borders. After evaluating some options I just decided to make my own solution based on Electron. Basically I made a very minimalist setup with <webview> tags that displays up to 4 different websites at once. There are 16 different layouts to choose from plus a bunch of other options like presets and theme. Certainly very limited as a browser but it works for that niche purpose. https://github.com/Merkoba/Boneless

Visit product View on Hacker NewsMay 29, 2019

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

65%65% 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

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released

41%41% 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

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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