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Show HN: We track Reddit, Google trends, Twitter, etc. to find trending topics

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Re: Show HN: We track Reddit, Google trends, Twitter, etc. to find trending topics

#41

Hey everyone, founder here. A few friends and I built Glimpse to surface trending topics - companies, products, industries, everything - and we send out curated trend reports via email. The way it works is we first capture nearly every topic online, then we look at frequency of discussion, searches, shares, etc. around each topic. Beyond just the growth in frequency, our software looks for indicators that a trend is…

Congratulations! We built a similar product: https://projectpiglet.com/ Except it appears we do filtering very differently. Our system also suggests points to enter and leave a given asset based on the information. It’s a pretty hard and crowded space. Feel free to look at some of my repos and blog posts, might shed some light on how to improve your system. Although your UI/UX is far superior

Just signed up for your product, it's very relevant to my current problem-space.

Re: Show HN: We track Reddit, Google trends, Twitter, etc. to find trending topics

#42

Hey everyone, founder here. A few friends and I built Glimpse to surface trending topics - companies, products, industries, everything - and we send out curated trend reports via email. The way it works is we first capture nearly every topic online, then we look at frequency of discussion, searches, shares, etc. around each topic. Beyond just the growth in frequency, our software looks for indicators that a trend is…

Congratulations for the product launch!

I'd suggest a trial period before commitment - free plan doesn't seem to have enough included to make opinion about your product and decide which option to go with later.

2 weeks trial on each plan would be enough I believe.

Anyways, good luck to you!

Re: Show HN: We track Reddit, Google trends, Twitter, etc. to find trending topics

#43

Hey everyone, founder here. A few friends and I built Glimpse to surface trending topics - companies, products, industries, everything - and we send out curated trend reports via email. The way it works is we first capture nearly every topic online, then we look at frequency of discussion, searches, shares, etc. around each topic. Beyond just the growth in frequency, our software looks for indicators that a trend is…

Congratulations! We built a similar product: https://projectpiglet.com/ Except it appears we do filtering very differently. Our system also suggests points to enter and leave a given asset based on the information. It’s a pretty hard and crowded space. Feel free to look at some of my repos and blog posts, might shed some light on how to improve your system. Although your UI/UX is far superior

Where is your track record?

Re: Show HN: We track Reddit, Google trends, Twitter, etc. to find trending topics

#44
More analytics. I feel like these are an admission that you are unable to judge quality in any meaningful way, so you're just going to go with what's popular today.

If I look around the products I own, and especially the ones I enjoy and find useful, I don't see very many which could have been arrived at by the wisdom of the crowds. You're not going to create a car that way, or a bicycle, or an iPhone. That's just not how products are created.

What exactly does one do with the knowledge that "Axe throwing" and "Gut health" searches are way up this year? "Stay in touch with the world beyond your bubble" sounds rather vague, and the sort of thing I could get by going on Twitter once a week.

Re: Show HN: We track Reddit, Google trends, Twitter, etc. to find trending topics

#45

Is this the same as this from 19 days ago? "Show HN: I built a service to discover rapidly growing Google search topics" https://news.ycombinator.com/item?id=20478339

Hey there, that was https://trennd.co/ which I recently built and launched on Show HN.

We're tackling the same problem just in different ways!

Re: Show HN: We track Reddit, Google trends, Twitter, etc. to find trending topics

#46
post #43

Earlier quoted context omitted.

Congratulations! We built a similar product: https://projectpiglet.com/ Except it appears we do filtering very differently. Our system also suggests points to enter and leave a given asset based on the information. It’s a pretty hard and crowded space. Feel free to look at some of my repos and blog posts, might shed some light on how to improve your system. Although your UI/UX is far superior

Where is your track record?

https://austingwalters.com/backtesting-our-100-yoy-profit-ge...

Re: Show HN: We track Reddit, Google trends, Twitter, etc. to find trending topics

#47
Hey Noah, great work with Glimpse!

Josh here from https://trennd.co/ which I recently built and launched on Show HN too. We're tackling the same problem of surfacing new trends, just in different ways!

Interested to hear more about how you validate trends and reduce noise. I'm inclined to agree that this is the biggest challenge. I'm guessing it's a lot of manual verification on your end?

Re: Show HN: We track Reddit, Google trends, Twitter, etc. to find trending topics

#48
post #44

More analytics. I feel like these are an admission that you are unable to judge quality in any meaningful way, so you're just going to go with what's popular today. If I look around the products I own, and especially the ones I enjoy and find useful, I don't see very many which could have been arrived at by the wisdom of the crowds. You're not going to create a car that way, or a bicycle, or an iPhone. That's just no…

Hey Ken - thanks for stopping by!

I think the products that have step function level effects on society are the sum of many smaller trends.

We've found that these trends, however small or large, tend to highlight the bigger picture around how the consumer world is evolving.

Like you point out, axe throwing is not very interesting on its own. But when you take a closer look, axe throwing, escape rooms, etc. are rising to fill the need of real life social experiences that can't be easily replaced by companies like Netflix as the more digitally replicable social experiences like movie theaters decline in popularity.

Our customers - founders, investors, product people, marketers, etc. - tell us that this deeper understanding of how and why the world is changing is useful to them.

And separately, while there are indeed a small number of products that have a disproportionately large impact on society (like the ones you mentioned: car, bike, iPhone), our economy is also largely dependent on the inverse - a large number of products that individually have a small impact on society - many of these are products we use and consume day to day like toiletries.

The growth of products in these potentially less impactful categories can still sometimes highlight a meaningful shift in society and we at Glimpse think it's worth talking about.

Hope I answered your questions!

Re: Show HN: We track Reddit, Google trends, Twitter, etc. to find trending topics

#49
post #47

Hey Noah, great work with Glimpse! Josh here from https://trennd.co/ which I recently built and launched on Show HN too. We're tackling the same problem of surfacing new trends, just in different ways! Interested to hear more about how you validate trends and reduce noise. I'm inclined to agree that this is the biggest challenge. I'm guessing it's a lot of manual verification on your end?

Hey Josh!

Yes, fun stuff to be working on!

We use a number of strategies to cut through the noise. One of strategies that's easiest to articulate is comparing a topic's trend lines on different channels to identify organic growth vs. inorganic growth. This is because we think it’s important to provide high quality trends that aren’t biased by data from one channel.

We're also more inclined to share trends that we think have room to grow, as one of our internal metrics is the growth multiple of all trends we cover.

Re: Show HN: We track Reddit, Google trends, Twitter, etc. to find trending topics

#50
post #11

NowPublic did a tool like that in 2008 intended for the use of newsrooms but we never got a single subscriber, every newsroom we showed immediately wanted to acquire the company :D Eventually one did. It was a relatively primitive affair extracting information from the Twitter gardenhose with Stanford NLP and storing / retrieving with Xapian. There was nothing like that at the time as far as I am aware.

> every newsroom we showed immediately wanted to acquire the company :D

That's an amazing story. Where can I read more about this?

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