Slight change to HN bookmarklet that might help with headlines

Hacker News

After reading a few comments here: https://news.ycombinator.com/item?id=11921976 I thought I would try to improve the HN bookmarklet code. I think only time will tell if this is an improvement or not. Thoughts? What to try it yourself? It's not fool proof and I'll have to see if it actually results in me editing submitted story headlines less often or not. It basically takes the substring of the document title from the start until it finds the first hypen (-) or pipe (|) which are what seems like most sites use when appending the site name. New bookmarklet code: javascript:window.location="http://news.ycombinator.com/submitlink?u="+encodeURIComponent(document.location)+"&t="+encodeURIComponent(document.title.substring(0,document.title.search(/[-|]/)).trim())

Visit product View on Hacker NewsJun 17, 2016

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

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

nativeThis product was originally launched on this platform.

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

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% 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

12%12% 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

Markov Model Headlines59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Markov Model Headlines

Hacker News4

Markov Model Headlines59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Markov Model Headlines

Hacker News2

Coronavirus news headlines since 9th Jan 202038%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Coronavirus news headlines since 9th Jan 2020

Hacker News1

Olive – Your Spare Change Can Help Kids Learn to Code65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Olive – Your Spare Change Can Help Kids Learn to Code

Hacker News2

Rogue Headlines18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Rogue Headlines is a headline stream for people who want fas

Indie Hackerscommitment-side-project

A roster help programmers find some interesting naming67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A roster help programmers find some interesting naming

Hacker News1

Help me crowdsource a definition of Americanness34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Help me crowdsource a definition of Americanness

Hacker News2

We're trying to help eradicate preventable blindness32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We're trying to help eradicate preventable blindness

Hacker News1

Help us with the MIT Tetris hack64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Help us with the MIT Tetris hack

Hacker News37

Socket.im Get Help Immediatly.54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Socket.im Get Help Immediatly.

Hacker News2

Browse all products Analyze your launch