AppSignal — Full-stack monitoring for errors, metrics, and logs
Full-stack monitoring for errors, metrics, and logs
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I don't know if PH team checked it out, but it gives precious insights on how to launch products here and how it behaves. Really really good material :) can I compare products I pick?
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@lucasjgordon Please, warn us when this goes live :)
@lucasjgordon can you do a view with the total number of votes cast per day? Would love to see the trends for engagement on Product Hunt over time (as well as to be able to spot dips in activity by day of week).
Interesting idea, @lucasjgordon! I've been slightly more active on PH recently and it seems that products that are hunted earlier in the day seem to do better than those hunted later in the day (with exceptions). Of course, that's my opinion and not backed by data. Product Rank will be helpful in this case for people to strategise their launch on PH. Well done!
That's just awesome ! We use it along with our custom tool (vote counter) at @sleek, and this is the best way to simulate a "Product Hunt dashboard" ! :)
Kudos !
@lucasjgordon Hehe no problem, it's not a big deal tho, do you want a counter too :D ? Our counter is now live on a screen at the Sleek office, and everyone is able to get an idea of our progression instantly !
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I'd like to this charting system for my cases.. Any Private user generated charts are available soon?
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I'm really surprised this hasn't already been built by the PH team themselves - it's a simple yet highly informative overview. Love it! Great job.
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Nice, one. That makes monitoring the Product Hunt day more easy. A good step towards PH analytics. Good luck guys!
Beyond Pricing
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Algolia
Algolia