I've been testing this setup by myself to see how really measures up in the real-world and if it can actually beat Claude.

I also discovered an even faster way to set things up -- without even needing to permanently switch away from Claude models.

I talk more about it in our community -- where I'm also currently sharing my experiences with Gemma 4 in Claude Code.

The past few days have had so many devs going crazy over Google's new open-source Gemma 4.

And for very good reason -- suddenly so many AI-powered tools like Claude Code have now become FREE and accessible to everyone -- without any compromises in intelligence.

And the best part is it's so ridiculously easy to set up locally -- thanks to ingenious connector tools like Ollama.

Gemma 4 + Ollama + Claude Code.

Ollama exposes an Anthropic-compatible API -- which allows Claude Code to talk to a local model instead of a hosted endpoint.

With Gemma 4 running locally, you get a Claude-style coding workflow without relying on remote inference.

This gives you:

What more could you even ask for?

Installing or updating Ollama is just too easy:

Then pull a Gemma 4 model based on your hardware:

Verify the model works:

58% of buyers now start their research in ChatGPT or Gemini, not Google. Most startups aren't showing up there yet.

The ones that are get cited by the AI tools their buyers, investors, and future hires already use. And they convert at 3×.

Download the free AEO Playbook for Startups from HubSpot and get the exact steps to start showing up. Five minutes to read.

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