gauravsc

They're doing it for VCs because VCs consider it proof of traction. They're not doing it to impress you and they don't care whether you check stars or not.

I had built this https://novasheets.com/ based on my experience building agentic enterprise automation for financial industry and works as well as chatgpt and perhaps better :)

I find this whole space of building tools for agents very interesting and fun. I am building similar software for agents e.g. agentreview.io and just posted about it on https://news.ycombinator.com/item?id=47488888

Apologies, the url went wrong while pasting, but I've reposted here: https://news.ycombinator.com/item?id=47072031

I am working on versanovatech.com. Its a learning layer for AI agents that lets them remember, share and learn from their experiences. I have built novasheets.com using the tech of versanovatech.com. It extract structured information from financial excel spreadsheets and is totally free to use.

well, I can't afford to analyse everyone's excel spreadsheets with my own money. But people can put a small amount of money in the account and restrict the money that can be spent with a given api key (if that's possible) and delete the api key after a while :)

Thanks. We think that while short term memory can be handled by LLMs directly and can be commoditised, it would be harder to do that natively for long term memory. We write about it in our article: https://medium.com/versanova/understanding-memory-in-ai-agen...

We have built something very close to it, a memory and learning layer called versanovatech.com and we posted about it here: https://news.ycombinator.com/from?site=versanovatech.com

thank you. we would love to provide you a demo and an api-key if you leave your contact on the website form.

I'm not sure how true that is for sectors other than software/AI, but in AI most academic researcher complain that all the moonshot research (often not even commercially applicable) is now solely coming from corporate research labs e.g. Deepmind, Facebook etc., as opposed to universities. They attribute this to poaching of faculty by companies, lack of resources in universities, lack of motivation in grad students to stay in academia.