Extension to preview links on any website

Hacker News

Hey, HN! I have been working on the MaxFocus: Link preview extension for the past month. It allows you to preview the content of a link before you open it — a handy way to scroll through your feed without opening multiple tabs. Some of the extra features: — Read mode and dark mode for articles — Almost full customisation of UI and behaviour — Advanced safety: we use a few services to check the links for malware and phishing — AI summaries and extracting key points for the previewed page (Claude) — It also works even faster than opening links in a new tab It now gets 30-50 new users per day without active marketing and has recently started generating revenue through PRO subscriptions. I'm ready to answer your questions. P.S. That's how I read HN: https://casca.space/f/5GDFUe

Visit product View on Hacker NewsApr 29, 2024

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Launch Intel predictions

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

89%89% 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: claude, user, new · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

42%42% 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: users · Missing: plus, platform, intuitive

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

24%24% 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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