Featured comment
Johannes N
@jollife · Dev Lead, Swat.io
hi @rrhoover. thx for your kind words! We've seen HunterData in the past and wanted to create an even better ranking.
How? Well, we incorporate two basic principles in the rating:
1. a user who votes early should always get a higher score as all subsequent voters
2. a user who votes on every single product should be slowed down by the algorithm. so we defi… See more
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Hunter
Discussion
Ryan Hoover
@rrhoover · Founder, Product Hunt
Very well done, @neuling2k and @jollife! HunterData, a leaderboard of product hunters, was one of the first (maybe THE first) community built product by @yvoschaap a year ago.
Truth is, the aggregate number of upvotes presented for each product isn't the best indication of influence or a "good hunt" because it doesn't account for the number of people that … See more
Thomas K. Running
@tkrunning · Nomad, Teleport
Really beautiful product, but the way I see it there is a fundamental issue with the ranking (please correct me if I'm wrong): You are mixing up correlation and causation. It isn't ranking influential Product Hunters, but rather "Product Hunters with mainstream taste that tend to vote early in the day" (favoring European users that log on before lunch).
Am … See more
Ross@GoLocalApps
@golocalapps · GoLocalApps
Great, now encouraging even more obsessive PH behavior.
I actually vote less now than I used to. Not sure why.
Vinish Garg
@vingar · Co-founder @In23Hours @ContentHug
I would love to see leaderboards by geographies.
I work mostly with startups and I often refer them to submit it on PH. Majority of them in Europe/UK are not aware of (or not yet in the habit of) PH. So listing leaders by regions will be a fair logic!
@rrhoover, This idea is another example of PH being a perfect fit as a 'Habit Forming Product' as Nir often… See more
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Johannes N
@jollife · Dev Lead, Swat.io
hi @rrhoover. thx for your kind words! We've seen HunterData in the past and wanted to create an even better ranking.
How? Well, we incorporate two basic principles in the rating:
1. a user who votes early should always get a higher score as all subsequent voters
2. a user who votes on every single product should be slowed down by the algorithm. so we defi… See more