Comments Owl for Hacker News 2.0 – now for Safari and mobile

Hacker News

Hacker News has one of the designs of all time - I initially made this extension because I wanted to be able to follow comment threads across multiple visits _without_ searching for "hour(s) ago" and "minutes ago", while preserving the UI we all know. This major release adds a Safari version (it can also be installed on Kiwi Browser or Firefox Beta on Android) and mobile support for the first time, with specific UX tweaks for the mobile breakpoint version, such as being able make list screen flagging require confirmation, improving the header somewhat and increasing the distance between the upvote and downvote buttons. Since its first Show HN 4 years ago, it now also has user management features - you can add notes to other users which will be displayed next to their comments, and you can also mute people if you feel the need to. If you have any other feature requests or UX issues with HN you'd like fixed, please submit them on GitHub!

Visit product View on Hacker NewsJul 18, 2023

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

65%65% 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: user, new, notes · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: hacker news, io · Missing: https docs, excited, just released

53%53% 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

37%37% 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

18%18% 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

Similar products

Collapse Comments on Hacker News73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collapse Comments on Hacker News

Hacker News93

Hacker News Comments73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker News Comments

Hacker News189

Collapsible comments for Hacker News73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Collapsible comments for Hacker News

Hacker News1

YRedesign for Hacker News (Mobile iOS Safari Extension)42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YRedesign for Hacker News (Mobile iOS Safari Extension)

Hacker News3

Yet Another Mobile Hacker News60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Yet Another Mobile Hacker News

Hacker News3

hncynic – Generate Hacker News Comments from Titles56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

hncynic – Generate Hacker News Comments from Titles

Hacker News114

Hacker News Live Comments Bookmarklet56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker News Live Comments Bookmarklet

Hacker News15

Visual representation of Hacker News comments66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Visual representation of Hacker News comments

Hacker News11

Hacker News but it's only the comments with none of the context71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker News but it's only the comments with none of the context

Hacker News2

Hacker News Telegraph: News generated from your comments68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker News Telegraph: News generated from your comments

Hacker News1

Browse all products Analyze your launch