jhow15

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!

I'd love to go as granular as possible, at least 30 days. Real-time would be ideal, but as you note - Google Trends rate limiting soon becomes a hurdle especially when you potentially multiply by different geographies.

Absolutely agree! How specific/granular would be the most valuable to you - at the city level perhaps?

They're sorted by gradient. But you can sort by upvotes too.

Last 30 days - got it!

That's an interesting angle regarding Alibaba. The hard part might be automatically grouping similar items, but definitely can see the huge value in this.

That's a brilliant idea, will add somewhere for people to make suggestions. Thank you!

Of course - I have scripts constantly monitoring the web for potentially interesting keywords. I then check google trends data for that topic/keyword and analyze the gradient of the line of best fit over different timeframes. If the gradient is higher than a certain (arbitrary) amount, then I class it as a trend!

Thanks so much!

Should be back up now! Apologies - had to upgrade my mongodb atlas cluster, it got hugged.

Yeah - just got hugged!

Upgraded my mongodb atlas cluster to resolve the issue, apologies.

Yeah absolutely - topic coverage can be expanded. Shoot me an email and we can chat more: josh at trennd dot co

Definitely - the glimpse newsletter looks good and is the same concept of surfacing new Google trends. I didn't like being limited to just a few trends per month everyone else sees via newsletter though.

I was looking for an interactive app with 1000 trends I could dig through. But as you say, then the editorial content/insight for each trend is key value-add. That's part of the reason I've built in for users to be able to add their own trends, insights and comments. If we can crowdsource it, then to some extent we don't have to trade-off quantity and quality.

Thank you! Yeah totally agree, I hadn't thought of job hunting though!!

Selling the data as an API is definitely a potential. I was originally thinking to allow CSV downloads of the data. Would an API be more useful for your client's use case?

That's awesome to hear!

If I were to build Trennd towards these e-commerce guys, what would you improve/add/change to make them love it?

Appreciate your insight - really trying to figure out who I should be building this for, so I know what features and direction to focus on. I was thinking eCommerce entrepreneurs could be it, but then a lot of other people potentially find it valuable too. I want to see who keeps coming back to Trennd in the future, the power users, and ask them why/what they're using it for!

Great idea, thank you!

The spike for cattle appears to be in Google trends for me: https://trends.google.com/trends/explore?date=today%205-y&q=...

There are quite broad category filters you can use right now, like "sport" or "food".

Definitely looking to classify with more precise categories in the future like sports players etc as you mention

Right now spike/potential/hyper classifications are my subjective opinion.. which I hate because that varies depending on the day I'm having and my specific biases.

Figuring out how to classify them mathematically is next on the to-do list. For example a spike would have extreme outliers in the middle and hyper would be over a certain exponent.

Thank you - appreciate it!!

I actually hadn't considered OSS, which part of it specifically would be most interesting to see?

Yes, I do filter out any chaff, since the scripts I have crawling the web to generate keyword ideas aren't perfect!

Right now they're monitoring the obvious techie havens, but I'm looking to expand their coverage to be more comprehensive.

Signing up allows you to add and upvote trends yourself.

But duly noted! I will make that clearer.

Ahah - thanks for the heads up!

I have scripts that are crawling the web in places like twitter, reddit and facebook to generate keyword ideas.

So the trends that it detects is biased towards the corners of the web that I am monitoring. Which skew heavily tech!

Yeah they're normalized relative to a scale of 100, as it's Google trends data. In the future I want to include actual search volume numbers as a line on the chart too though. Just need to figure out where to get that data first!

I have scripts that are crawling the web in places like twitter, reddit and facebook to generate keyword ideas.

Right now, I'm filtering out the noise and crud manually! So it's a combination of automation and curation by hand.

The default is 5 years, but there is a dropdown select where you can choose from 3 months to 15 years.

Hey everyone, Josh here the creator. As a developer, I’m always looking out for an emerging market trend on which to bootstrap my own SaaS product. This is since market awareness and timing are often so critical, on top of execution skill of course!

So I built Trennd. Under the hood it continually monitors the web for interesting keywords & topics, classifies them using Google Trends data and packages everything as a neat web app where other people can contribute too.

The app itself is built with the Next.js React framework along with Express, Bootstrap and MongoDB. Next.js was new to me, but made sense since it comes with so much out of the box, including server side rendering.

Let me know if you have any questions, and any feedback is much appreciated!