AI Services Market › Use cases › Sales, Marketing & Support
Sales, Marketing & SupportDone with Claude Code Oct 30, 2026
Run a local multi-model agent for files and LinkedIn/Reddit monitoring
A builder made a local agent that works with the user's files and connected data, and uses it to monitor and fetch relevant LinkedIn and Reddit conversations for business insights. · Oct 30, 2026
- What They Did
- The builder made Safata AI, a local agent that runs on their own computer, with a choice of provider and model (frontier, open source, or Mistral). Data sources like Dropbox, Box, Google Drive and HubSpot connect through API keys, and only model calls leave the machine. They use it to monitor and fetch relevant LinkedIn and Reddit conversations as part of their business workflow.
- How It Went
- The source gives no numbers or results for the monitoring. It says the agent works fast with files and improves through accumulated context, and the builder also uses it alongside Claude Code for image and music generation.
Try it yourself with Claude Code
Build me a local agent that reads the files in [folder path] and monitors LinkedIn and Reddit for conversations about [my business topic, competitors, or keywords]. Each run should fetch new relevant posts and write a summary file with links and 3 to 5 business insights I can act on. Stop when one run works end to end and you have shown me how to schedule it, and ask before storing any login credentials or posting anything.