f.ilter.us [filtered Hacker News]

Hacker News

I made a small application over the weekend that I'm sure has been done a thousand times, but it's a filtering website done for Hacker News and has sorting by points and most recent (similar to reddit and other sites). Was wondering what the community thought, room for improvements, etc. I wanted some way to look at HN on the iPad (ended up using Twitter's awesome Bootstrap), so here it is: http://f.ilter.us/ The code is also available here on GitHub, if that's useful to anybody: https://github.com/maskact/hacker_news_filter

Visit product View on Hacker NewsMar 14, 2012

Share card

Actual performance

2points

2comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, using, code · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Hacker News for bitcoins68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker News for bitcoins

Hacker News3

PubUp, "Hacker News" for researchers & scientists75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PubUp, "Hacker News" for researchers & scientists

Hacker News40

Hacker News Toronto Meetup62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker News Toronto Meetup

Hacker News2

How to Unmoderate Hacker News Titles52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How to Unmoderate Hacker News Titles

Hacker News2

Hacker News for "Hacker News for 'X'"68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker News for "Hacker News for 'X'"

Hacker News2

Hacker News in your system tray68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker News in your system tray

Hacker News91

Coinspotting - A Hacker News For Bitcoins and Other Cryptocurrencies71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Coinspotting - A Hacker News For Bitcoins and Other Cryptocurrencies

Hacker News117

Hacker News For Bioinformatics68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker News For Bioinformatics

Hacker News1

Hacker News is much more enjoyable via Gizoogle68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hacker News is much more enjoyable via Gizoogle

Hacker News2

Woodspotting - A Hacker News For Woodworking68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Woodspotting - A Hacker News For Woodworking

Hacker News2

Browse all products Analyze your launch