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How to use Franco: what you can do with it

What is Franco? Franco is an outbound sales agent that runs on your own machine and uses the Claude Code or Codex subscription you already pay for. It works through a list of accounts, sends short email sequences from your own mailbox, reads replies and handles them. It has three modes: generated outreach, approved copy sent word for word, and Raad funnels.

How do I use it? Install with pipx install franco, then run franco init ~/franco && cd ~/franco; then set outreach mode to templates in Franco.local.yaml and define your campaign steps with the merge fields; run franco import --template --kind accounts > accounts.csv and fill in one row per account. Full steps below.

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3 use cases

Quick start with Franco

  1. Check you have what it needs: Python 3.11 or newer; Claude Code logged in on a Pro or Max plan, or an opt-in Codex runtime on a ChatGPT plan; A mailbox to send from (Google Workspace recommended) and email verifier keys.
  2. Open GortexAI/franco on GitHub and read the README and license.
  3. Install with pipx install franco, then run franco init ~/franco && cd ~/franco
  4. Set outreach mode to templates in Franco.local.yaml and define your campaign steps with the merge fields
  5. Run franco import --template --kind accounts > accounts.csv and fill in one row per account
  6. Check the file with franco import accounts.csv --dry-run, then import it

These steps come from our top use case, Send approved email sequences to a list of researched accounts, which also has a copy-paste agent prompt.

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Using the Deduped MCP, get the setup steps for GortexAI/franco

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claude mcp add --transport http deduped https://dedupedai.com/mcp

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About this repo

  • Who it is forFounders and small sales teams who run outbound email and want it automated locally without a model API bill.
  • Why it is hot899 stars, launched 16 days ago, talked about in 3 AI sources we track
  • LanguagePython
  • Sourcegithub.com/GortexAI/franco · Back to Hot repos

Requirements

  • Python 3.11 or newer
  • Claude Code logged in on a Pro or Max plan, or an opt-in Codex runtime on a ChatGPT plan
  • A mailbox to send from (Google Workspace recommended) and email verifier keys
  • Chromium, installed with franco install, for LinkedIn and JavaScript-heavy sites

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Questions about Franco

What is Franco?

Franco is an outbound sales agent that runs on your own machine and uses the Claude Code or Codex subscription you already pay for. It works through a list of accounts, sends short email sequences from your own mailbox, reads replies and handles them. It has three modes: generated outreach, approved copy sent word for word, and Raad funnels. It is an open-source project on GitHub: https://github.com/GortexAI/franco.

How do I use Franco?

Install with pipx install franco, then run franco init ~/franco && cd ~/franco; then set outreach mode to templates in Franco.local.yaml and define your campaign steps with the merge fields; run franco import --template --kind accounts > accounts.csv and fill in one row per account. The use cases on this page give the full steps and a copy-paste agent prompt for each job.

Who is Franco for?

Founders and small sales teams who run outbound email and want it automated locally without a model API bill.

What can I do with Franco?

3 use cases so far, for example: Send approved email sequences to a list of researched accounts; Import your contact and do-not-contact lists from CSV; Run Franco from the published container image. Each has steps and a copy-paste agent prompt.

What do I need to run Franco?

Python 3.11 or newer; Claude Code logged in on a Pro or Max plan, or an opt-in Codex runtime on a ChatGPT plan; A mailbox to send from (Google Workspace recommended) and email verifier keys; Chromium, installed with franco install, for LinkedIn and JavaScript-heavy sites.

What are alternatives to Franco?

Other hot AI repos in Sales and marketing: Open SEO, TLive Omni, Claude SEO, Social Media Research Skills, Codflow.

Is Franco safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.