simple bookmarklet for checking an HN post's HNranking.info

Hacker News

I've loved looking at http://hnrankings.info, and am always curious to check out how a particular post is doing. This might not be that exciting, but I am often curious about how an HN post has moved up and down the rankings. Here's a simple little JS bookmarklet that I'm sure all of you could write in 2 seconds that I am using to do just that: javascript:%20function%20checkHNrank()%20{var%20url%20=%20window.location.href;%20var%20postid%20=%20url.substring(url.indexOf("=")+1);%20document.location='http://hnrankings.info/'+postid;}%20checkHNrank(); Thanks to the folks behind hnrankings.info! Version w/ spaces: javascript: function checkHNrank() {var url = window.location.href; var postid = url.substring(url.indexOf("=")+1); document.location='http://hnrankings.info/'+postid;} checkHNrank();

Visit product View on Hacker NewsJun 17, 2012

Share card

Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

59%59% 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.

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

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

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

44%44% predicted probability of success on Indie Hackers, 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

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

nativeThis product was originally launched on this platform.

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

34%34% 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

16%16% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Badkeys.info – checking cryptographic keys for known vulnerabilities54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Badkeys.info – checking cryptographic keys for known vulnerabilities

Hacker News6

Simple website health checking46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Simple website health checking

Hacker News1

Recry, a simple public info SMS and voice system for post-disaster38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Recry, a simple public info SMS and voice system for post-disaster

Hacker News1

ThreatBite – Reputation Checking Tool49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ThreatBite – Reputation Checking Tool

Hacker News3

WardUp27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Heroes of newerth stat checking tool

Product Hunt+1

Find info about the developers who post projects on Show HN47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find info about the developers who post projects on Show HN

Hacker News1

Find info about the developers who post projects on Show HN47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find info about the developers who post projects on Show HN

Hacker News99

Whassat.info40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Whassat.info

Hacker News1

Restocked.info39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Restocked.info

Hacker News5

CNPJ Info58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CNPJ Info

Hacker News2

Browse all products Analyze your launch