←back to thread

289 points GodelNumbering | 1 comments | | HN request time: 0.2s | source

(* within a few minutes of SEC filing)

Currently does it for 1000+ US companies and specifically earnings related filings. By US companies, I mean the ones that are obliged to file SEC filings.

This was the result of almost a year long effort and hundreds of prototypes :)

It currently auto-publishes for 1000 ish US companies by market cap, relies on 8-K filing as a trigger.

e.g. https://www.signalbloom.ai/news/NVDA will take you to NVDA earnings

Would be grateful to get some feedback. Especially if you follow a company, check its reports out. Thank you!

Some examples: https://www.signalbloom.ai/news/AAPL/apple-q1-eps-beats-desp...

https://www.signalbloom.ai/news/NVDA/nvidia-revenue-soars-ma...

https://www.signalbloom.ai/news/JPM/jpm-beats-estimates-on-c... (JPM earnings from Friday)

Hallucination note: https://www.signalbloom.ai/hallucination-benchmark

Show context
another-reader ◴[] No.43677235[source]
Any pointers on creating similar tools? I had an idea for an AI-backed analyses tool (not for stocks) but not quite sure how to go about it. Even if it's just a pointer to some page that does an ELI5 I'd really appreciate it.
replies(1): >>43677331 #
GodelNumbering ◴[] No.43677331[source]
Depending on how much time you have, the first thing I would recommend is to watch Karpathy's 'deep dive into LLMs' video (https://www.youtube.com/watch?v=7xTGNNLPyMI). It is 3.5 hours but it will give you so much instinctive understanding of how these things work and will likely save you a lot of time.

Purely from a technical standpoint, things aren't that difficult really. I'd recommend get yourself an API account with all major providers (because each frontier LLM evidently has their own strengths and weaknesses) and start experimenting with your data. The feeling you'll get when you first get an API response will keep you going! :)

Having said that, a caveat is, LLMs do hallucinate from time to time. If your data needs accuracy, definitely don't do the "throw everything at LLMs and let them do the work" but I'm sure you'll figure it out from trial and error. Good luck!

replies(2): >>43677369 #>>43680432 #
1. another-reader ◴[] No.43677369[source]
Will check it out. Thanks so much!

I'm pretty familiar with how LLM's work, it was more of "how do I create sites/apps" with LLM/AI backends. Will check out the youtube. Thanks again.