As I was building LLM projects, I found I was re-implementing a new vector database for each one. So I built RagTag (https://ragtag.weaveapi.com), a vectordb/RAG as a service to make the process faster. This provides a CRUD interface to push and retrieve documents, which are automatically chunked and converted to embeddings. AgentX (https://theagentx.com), an LLM chat support app is one of the projects I built... - Source: Hacker News / 4 months ago

If you do that, you have a much better chance of them connecting the dots and seeing how you benefit them. I make a prospect monitor that alerts you when these things happen in your accounts, bc most of my prospecting is based on these "signals.". Source: almost 2 years ago

I use Apollo for contact information. I build my own tool called MSB to track and update me on the accounts I care about. Source: almost 2 years ago

So I set up an account tracker that scrapes the web every day (looking funding, conferences attended, new hires), so I can just grab my new signals every day and get prospecting. Source: about 2 years ago

I build a prospect monitor to track what my prospects are doing, then I sync it with Close for easy prospecting. Maybe that's what you realized should be built! Source: about 2 years ago

Ended up building my own prospecting research automator, and it refreshes data on my account every day. Even started bringing in Bombora data so I could see what my target prospects are googling. Source: about 2 years ago