https://platform.openai.com/docs/assistants/tools/file-searc...
What is the moat / advantage here when I or anyone else can build my own and at my own will serve it as a SaaS if I want to?
I'm assuming data isn't the moat here either as we all get the data from SEC Edgar.
Part of "how fast" equation is the UX - build with zero friction - every second they gonna churn unless impressed.
The problem is that some filings especially the 10-K onces, can be very long (too long for chatGPT or Claude). Only Gemini can handle them properly. It can be quite expensive if a user chats a lot with a long filing.
Many hobbyists and "algo traders" only care for actionable results. Going through millions of records manually, even with AI, isn't really helpful.
Maybe I am in contact with too many quants, but this isn't even 5% of what's relevant for any given financial decision. Find out what the other 95% are about, integrate them into the product - now you have Bloomberg Terminal, great.
For hobbyists, I don't think that most of them strictly want to go through all these fillings. You could likely deliver "dumber" results, providing just bullet points on what's particularly interesting about a specific ticker.
Just as a heads-up, I am not attacking your product, it's just that the financial industry is very broad and you have to be mindful about your target audience. I have simply seen quite a few products that are "LLM with dataset X" fail because they don't integrate nicely with preexisting workflows.