Mark M.

The most obvious time-saver is deep lead research, e.g. analyze quarterlies, job posting dynamics, funding, interviews, podcast appearances, etc. to collect key areas of interest and infer potential areas of investment. Use smth like gpt-4.1-mini to collect and summarize data, and then a thinking model like o3 to analyze and score opportunities. Lmk if you wanna chat

I'm building a HubSpot AI assistant in Slack, and it's real difficult to get actual useful analysis using natural language. For outputs you can actually trust, you'd have to invest quite a bit of time and money (less money than Breeze though in the long run lol)

Willing to give it a try pro bono, shoot me a DM

Sure, sounds easy enough

Hi Freya! I made an agentic knowledge base for my company with a slack interface - people ask questions, it answers based on Notion, Gdrive and Confluence bases uploaded. Happy to spin up something similar for you and add the onboarding part just for the experience with various setups