Comments on live “Ryan Hoover”
Sachin Rekhi
@sachinrekhi · Entrepreneur & Product Guy
What I'd love to see is more product stats associated with each product. Things like the App Store/Play Store rating/ranking. Their Alexa traffic ranking, etc. These help to provide a more complete picture of how are the products doing. The overall ProductHunt upvotes is great, but really only represents an initial point-in-time metric around their launch on PH.
Getting a better sense of how a product is doing via these various products stats not only helps users seeking products better judge them, but also helps makers looking for inspiration get a sense of which ideas are not only viewed positively on PH, but also getting a lot of positive success signals.
One of the drawbacks, for example, of the Dribbble community is that the discussion ends up being fairly insular with designers talking with designers without the feedback of do the launched designs even do well? It makes it far less useful for fellow creators to learn from and results in the naval gazing the community has been critiqued for. External traction metrics help to combat this.
Maybe even allow people to contribute specific metrics with reference sources like # users, revenue, growth rates, etc. with links back to the source (often company blog posts, articles, etc). I'm constantly googling for this info but having it structured and referenced in one place would be amazing. I'd contribute a ton of data points myself from the years of notes I have on such various metrics :)
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Ryan Hoover
@rrhoover · Founder, Product Hunt
@sachinrekhi what we've found is that the more context provided, the more people gravitate toward a particular product. It's all about storytelling. "Here's a productivity-boosting app created by a 17 year-old, backed by a16z and currently the #1 most downloaded in the App Store" is a lot more interesting than "Here's a productivity-boosting app." To your point, adding quantitative metrics like App Store ranking helps tell a story. Incorporating articles, interviews, and 3rd party editorial from sites like TechCrunch can also help.
Taking this further, what other data sets or ways can we tell a better story?
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