Product Hunt stats: busting (and validating) launch myths

When is the best time to publish? Which categories get the most votes? Does it make sense to refer to the promoted "hunters"? When are users most active?

Below are the answers to these (and not only) questions, accumulated over 3 months of automatic collection of statistics on top products on Product Hunt. Well, nice graphics, of course.

Small introduction

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Product Hunt

Product Hunt — , , . PH ( - 10k , ). . , .

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-1

-5

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-1

-5

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-1

-5

PH , «» . , : -1 46% , «» 50 . : 3%.

-1

-5

«» : Productivity Tech. -1 Marketing, -5 — Developer Tools. , , , .

-1

-5

«» PH 00:00 PT (10:00 ). , : , , . : 68% 65% -1 -5 , « ».

-1

-5

Data continues to be collected, and perhaps someday I will make deeper samples. The interactive version can be viewed on a separate research page : there are the same charts, but poked and scaled.

I write a lot about the design, development and production of IT projects, and I aggregate all my materials in a cozy  telegram channel , wellkam.




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