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Nice work. I’m trying something similar with https://kadoa.com/playground

What did you try?

There's a lot of "well I just saw the latest version of GPT do exactly what your startup does on Twitter today".

Are you writing any checks or holding off until the dust settles?

Like anything new, there will be winners and losers. The winners will find unique wedges and create incredible value. The losers will at the very least jump on the hype cycle but then quickly become redundant and obsolete.

I'm guessing you can pay one of these companies to meet these types of requirements.

I know that highly-regulated financial institutions that purchase web-scraped data have very strict rules about the data they buy.

The US has an organization dedicated to this: https://www.investmentdata.org

I think Import.io, Bright Data, and Zyte would fall into that category.

Makes sense. Basically the FAANG strategy.

I'm working on something similar https://www.kadoa.com

The main difference is that we're focusing more on scraper generation and maintenance to scrape diverse page structures at scale.

You might want to try https://www.kadoa.com (disclaimer: I'm one of the founders)

That's what he did first https://www.youtube.com/watch?v=SAekbJf4Gsw

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How are you calling the API?

Fun! My best score is 13. Do you plan on randomizing the start?

Correct.

Done using Named Entity Recognition (NER) to detect product mentions in Reddit posts and comments.

As a former architecture student, I'm not surprised to see Moleskin as #1.

Interesting point. Can you elaborate?

r/technology only accepts links to major publications. Unfortunately, this is not clearly stated in their rules and leads to unknowing posters getting banned.