So back in the days people used to discuss not only new project but also algorithms, performance and lightweight solution. Since the introduction of GPT3 thinks going s’more and more slow. People seem to don’t even bother with such things anymore.

Sentiment analysis used to be out there, now everybody uses some llm api although it is an overkill, people talking about quick buck, but not the technology. The new products we see around mostly generic stuff, some of them really solves some problems but they don’t have the spice to give a real intense taste.

Things changed or there are so many people making ai noise we don’t hear the techs guys anymore?

It's called ScrapeGraphAI and it's an open-source Python library with over 30,000 stars on GitHub.

You just give it a website link and describe what you want in plain English, and then a minute later it'll come back with a clean list of everything that you asked for.

So, with this you can find leads from LinkedIn, track your competitors or their ads, or do simple research.

Plus, it's free, open source, and works with Claude Code and all the other leading AI coding agents.

So, if you guys want to try this for yourselves you can install it from here:

https://github.com/ScrapeGraphAI/Scrapegraph-ai#-quick-install

Hey folks, how important is it for you to track every prompt/ token spend across all the different AI agents/ tools you use? An agent runs as a sidecar looking at all your prompts and token usage and gives you insights to optimise. Will that be useful? Is there any tool out there that gives you this