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jhow15
searching PlanetScale…
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31.
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jhow15
7y ago
I'm glad I could help :) You should go for it!
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jhow15
7y ago
Thank you so much! That's actually exactly why I built it in the first place, so definitely going to be "eating my own dog food" with this for the next project idea :)
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jhow15
7y ago
Thank you!!
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jhow15
7y ago
Thank you! And congrats on selling your side projects too :) You're pretty close there yeah - so it was a huge win! Especially given it had no revenue like you say.
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jhow15
7y ago
Hi everyone, Josh here the writer. I’d like to give thanks to all the people here on Hacker News who supported the project during that launch and any questions or comments just let me know! The short version (summarized from the article): I
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My Show HN Project got acquired after 6 months
(medium.com)
419 points
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jhow15
7y ago
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97 comments
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jhow15
7y ago
This seems like a great opportunity to grab that twitter handle you always wanted.
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jhow15
7y ago
Alright - thank you!
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Ask HN: Web-based personal terminal options?
5 points
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jhow15
7y ago
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9 comments
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Stack Overflow is currently offline for maintenance
(stackoverflow.com)
5 points
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jhow15
7y ago
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2 comments
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jhow15
7y ago
I think it really depends on the trend. Some can be spikes or fads especially in fashion or food. But equally, some keep rising and turn out to be part of broader industry trends that you regret not getting in when you first discovered them
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jhow15
7y ago
Yeah right now there is a tech bias since the scripts and sources on the backend are focussed more on that.
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jhow15
7y ago
Thanks!! It's based on regression analysis of the topic's data.
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jhow15
7y ago
Thank you! I'd recommend filtering by 12months or less or selecting the "exponential" trends filter type to surface the hottest stuff.
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jhow15
7y ago
I had the same question recently and so built an app to surface rapidly growing google trends. It was a Show HN project not long ago and people seemed to like it: https://trennd.co I've also noticed a lot of larger trends t
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jhow15
7y ago
I’m always surprised how, in my experience at least, people with less exposure to animals usually underestimate their ability to understand their surroundings and even feel emotions.
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jhow15
7y ago
Yeah that makes a lot of sense to compare trend lines across channels - thanks for sharing!
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jhow15
7y ago
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 he
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jhow15
7y ago
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!
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jhow15
7y ago
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.
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jhow15
7y ago
Absolutely agree! How specific/granular would be the most valuable to you - at the city level perhaps?
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jhow15
7y ago
They're sorted by gradient. But you can sort by upvotes too.
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jhow15
7y ago
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.
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jhow15
7y ago
That's a brilliant idea, will add somewhere for people to make suggestions. Thank you!
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jhow15
7y ago
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 gr
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jhow15
7y ago
Thanks so much!
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jhow15
7y ago
Should be back up now! Apologies - had to upgrade my mongodb atlas cluster, it got hugged.
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jhow15
7y ago
Yeah - just got hugged! Upgraded my mongodb atlas cluster to resolve the issue, apologies.
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jhow15
7y ago
Yeah absolutely - topic coverage can be expanded. Shoot me an email and we can chat more: josh at trennd dot co
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jhow15
7y ago
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 interactiv
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