Thanks for the hunt @nivo0o0! And hello everybody! I'm more than excited to be launching on PH today.
Hunter Analysis started as an idea to answer the question what can be done with PH API that's really useful and valuable.
The project was done as an MVP. You can find information about hunters, influencers, featured posts, upvotes, and comments (stats, trends).
Feel free to ask any question :)
Hi @csaba_kissi. I'm not sure how it works. I searched my name and wasn't in the list. Now I admit that I'm not an influencer, but the people listed had 0 posts, votes, followers, following. I'm at least active on PH.
I searched my colleagues @sanketsahu, @sankhadeep_roy and few more but didn't find anyone.
The other week @csaba_kissi reached out to me on Twitter and showed me a new Product Hunt analytics project he was working on. Shared some of the preview images with the team and they loved it.
Now Product Hunt Analysis is live! ๐๐
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@nivo0o0@csaba_kissi I really like the fun nature that this webapp caries. It doesn't incite competition, but allows the competitive to compete without ruining the experience for us more laid back hunters.
Personally, I just love it because I'm a massive fan of all things info/data.
Super cool, @csaba_kissi! We've seen a few other data visualizations of Product Hunt but this is the best yet.
I noticed some of the data is off though. For example, the number of "registered hunters" for 2016 is reported as ~1k. That's a fraction of the actual number.
@rrhoover Thank you, Ryan, when it comes to "1k" it's because I count only hunters with at least one featured product. The max ID for users at the time I developed it was about 790K. Due to API limitations, I decided to count only featured hunter. If you can lift an API limit a bit for me I would be more than happy ;)
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hey @csaba_kissi for some reason I can't find my account when I search for it? looks super cool though, awesome metrics mentioned.
fantastic work! I had actually been thinking of developing some analytics like this, to see what the most popular time that products posted was.
note: I think that the site might be using the *wrong* (as in different to what product hunt uses) timezone; as I'm in Pacific Standard Time (as I understand that PH operates on) and no way post most regularly at mid-day, I most often post at midnight PST.
Really like this classification. Great work! I would add Alexa Traffic Rank data to Analysis. I'd like PH to work in this direction. I use PH every day, but usually miss some analytics data about newly launched products and sites.
@csaba_kissi here is short explain https://aws.amazon.com/alexa/ , but usually I use chrome extension to receive this data, for example http://www.alexa.com/siteinfo/pr... For deeper analysis it would be also interesting to add Wayback archive data. - just not sure if it is possible.
Another idea- whois domain name data, or app data.
This is the way how I measure overall startup progress if I am interested in particular startup growth.
@dainiskanopa ok thank you. It was not clear for me where do you want to include these data. I was mostly to SEO for last 10 years and unfortunately alexa data arent very accurate anymore. Even in similarweb stats I see big differences, for my sites about 50% to 100%. Probably semrush or ahrefs can provide better data unfortunately they have paid APIs only. When it comes to whois data its quite simple to implement.
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