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I made a customizable iOS browser for minimalists and myself

Hacker News

I made a customizable iOS browser for minimalists and myself

Hello HN! So early this year I decided to build an iOS browser offering a large range of customization options, to accommodate anyone’s usage and visual preferences. Been using it as my default browser for 6 months and not looking back. On first launch it looks and behaves a bit like Safari, but to give you an idea, here are the various ways I customized it on my phone. - More screen real estate for the webpage, less for the toolbar. - A compact toolbar containing only the buttons for actions I use the most: new tab, close tab, open tab list. Since I use them hundred times a day, I need them available with button taps instead of swipe gestures. - A toolbar button layout adapted to my left-handedness. - A toolbar that disappears on scroll to allow full-screen reading. - The toolbar and address bar at the bottom, as they should be. - A popup menu showing the full URL and the buttons I use less frequently: back/forward (already available as screen edge gestures), share, reload, settings, etc. - Showing the page title in the toolbar. - Read time estimation for each tab. - Opening the keyboard automatically when I open a new tab. - Sorting tabs by read time, so that I can decide what to read based on how much time and focus I have. - Grouping tabs by domain. - A flat, condensed tab list, without snapshots. - A full-black toolbar in dark mode to read at night. It’s still early days but things like content blockers, reader mode, iPad support, and more should arrive soon enough. And of course, no analytics/monitoring/telemetry, no account creation, no backend. It’s not open source, but you can also inspect the app’s web views with Safari developer tools to see what’s going on under the hood. Would love to hear if the level of personalization my app provides resonates with like-minded people. Have a great day!

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, visual, using · Missing: mac, agents, macos
93%93% 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: ios · Missing: supports, reddit linkedin, podcasting
88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: ios, personal, month · Missing: mobile apps, entrepreneurs, apps
54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: open source, ide, io · Missing: https docs, excited, just released
44%44% 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 · Strong signals: soon · Missing: plus, platform, intuitive
39%39% 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 · 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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