Show HN: I built a service to discover and monitor rapidly growing trends
81–90 of 118 posts
Re: Show HN: I built a service to discover and monitor rapidly growing trends
#82How is this different from Glimpse https://meetglimpse.com/ ?
First and foremost, we are an actual tool you can use, not a simple newsletter.
We give our users the ability to monitor a keyword/topic over time. As a user, you can receive daily, weekly and monthly email alerts.
Secondly, you can search a keyword/topic in any country and what you search stays private to you so that you can build your own private library of trends.
Thirdly, each trend has so many related topics that we find by querying Google, Amazon, YouTube, etc that you can dive into.
And finally, we have a beta feature where the tool forecasts how a trend will likely perform in the next 6 months.
Re: Show HN: I built a service to discover and monitor rapidly growing trends
#83Re: Show HN: I built a service to discover and monitor rapidly growing trends
#84Hi Mike, I like the YouTube search queries.
Re: Show HN: I built a service to discover and monitor rapidly growing trends
#85How many trends you are currently tracking? How many in total are curated trends?
Hello, With Treendly, I am embracing transparency and openness by sharing our app and revenue metrics with everyone. So, you can find that info here: https://treendly.com/open So far, we have 1.5K trends in the db but not all are growing and rising. Keep in mind that we track a lot more keywords/topics in order to find a rising trend. Thanks for commenting!
Your scrapers are probably expensive to run, right? They don't seem to be listed.
Re: Show HN: I built a service to discover and monitor rapidly growing trends
#86Re: Show HN: I built a service to discover and monitor rapidly growing trends
#87I liked this for example to watch how people are going crazy due to viral epidemiology https://treendly.com/trend/Healthcare?geo=US
Thanks for commenting!
Re: Show HN: I built a service to discover and monitor rapidly growing trends
#88The interest over time graph uses spline interpolation to connect the datapoints, while that might look prettier than straight lines, it is something that is strongly discouraged in a scientific / data analysis context, because the curving line does not carry meaningful information.
Re: Show HN: I built a service to discover and monitor rapidly growing trends
#89Whose is your target customer? Ie what are their job titles and what are their jobs? How would your tool fit into their workflow?
Hello, at this point this question is hard to answer. I've identified a lot of real customer profiles (as I call them) that can use the product and receive value. Some of those are: e-commerces, marketers, affiliates, investors, SEO experts. If you are curious, you can read more about each of them on the homepage, in the "use cases" section. I don't know which one of these customer profiles will benefit the most at t…