Disclosure: I'm part of the aiFetchly team, and this post describes what our product actually does — no hype, no invented features.
Most B2B lead lists start the same way: open a company site, copy the name, copy the contact page, guess the right person, paste everything into a spreadsheet, and repeat. By lead number twenty, the notes are inconsistent, half the fields are empty, and nobody trusts the list enough to use it.
That manual step is where good outreach dies. The research exists, but it never becomes a usable, structured record.
aiFetchly is an open-source, local-first desktop AI agent. Instead of treating lead research as copy-paste work, it can research companies and turn what it finds into structured lead records — company, role, contact details, and a short note on why that company is relevant — so the list is ready to work from.
A practical routine looks like this:
This short demo shows automatic B2B lead extraction:
aiFetchly is a desktop AI agent for research, document processing, client communication, scheduled workflows, plugins, and business knowledge. It is open source, local-first, and the free Community edition is available to try. Plus starts at $10/month.
It is not a magic database of contacts, and it does not invent contact details. Treat extracted leads as a starting point: check the details before you send anything, and keep your outreach specific to each company. That verification step is part of the routine, not an afterthought.
If your team still builds lead lists by hand, try replacing the copy-paste step first. That one change usually saves more time than any new spreadsheet template.
Learn more: [https://www.aifetchly.com](https://www.aifetchly.com)
GitHub: [https://github.com/robertzengcn/aiFetchly](https://github.com/robertzengcn/aiFetchly)