Donโt use Gauge. Unless you want to get written into every codebase.
Coding agents are leading the next wave of growth for our customers including @supabase, @openrouter, @resend, @posthog, @mintlify, @braintrust, and more.
This is Agent-led Growth.
It's critical to understand how effectively agents can implement your tool. Until now, that understanding was isolated from where the changes were actually happening.
Today we're launching the @gauge_sh GitHub App to close the gap.
For coding agents, the full picture matters. Our GitHub integration lets you test your key agent workflows against real agents actually using them. And now you can do it right where you already develop, with declarative evals and real time results posted right on your PR.
Today we're open-sourcing the Gauge CLI.
@gauge_sh helps you make something agents want, for free.
Why are we doing this?
Just a year ago, the capabilities in this CLI could have justified a SaaS fee, and might have even been the core business.
But coding agents have completely changed the game.
More than 85% of the coding sessions that users run on our platform are initiated through the CLI, triggered by their coding agent.
Users just want their agent to solve problems, whether that means building from scratch or picking the best vendor for their problem. We know that the tools they pick are the ones with zero-friction onboarding, and legitimate value up-front.
The bar to sell software has risen, and agents need to try it before users do.
Make something agents want with the Gauge CLI. Get started now for free.
One person. One agentic SEO skill with hundreds of tools and checks built in. 28x more daily search clicks for @Eco in a little over a year.
Fortune, Yahoo Finance, and even arXiv research have cited our articles, and dozens of companies have asked to be featured.
None of it was easy. All of it is replicable. Hereโs how you can do it too.
I started by pulling apart every component that drives SEO growth. Youโll never know the algorithm for certain, but thereโs a ton of tooling and research that gets you close. Lean on search and GEO tools like @ahrefs, @gauge_sh, @Google Search Console, and @Bing Webmaster Tools.
Backlinks, internal linking, orphan pages, content structure, search intent, answer-first formatting, freshness and fact accuracy, cannibalization between your own pages, and whether AI search actually cites you. There are so many variables, and the hard part is isolating which one actually moved your clicks.
Then, you test workflows to find articles that work. Early on itโs a high volume, trial and error game. Refresh or merge whatโs decaying.
Most of these SEO and GEO tools have APIs or MCPs. Wire them in and your agents pull the data and run the audits themselves.
The most important part is having your agents monitor wins and losses, and making sure every audit produces an insight the next article builds on.
Once the skill runs faster than a human can, each loop finishes sooner and the next article starts smarter. Keep publishing, keep auditing, and it compounds. Use loops.
@itsagentic great question - being in the existing stack/something the dev already uses is a huge advantage that does sway recommendation rates heavily.
Agents hate adding a new tool to the stack if there's something they can already use. This makes "compound" products like PostHog that much more valuable - it's all about finding your entrypoint as a product and growing from there.
We wouldnโt be where we are today without @posthog, @supabase, and @clerk.
When we started @gauge_sh, our goal was simple: help brands show up in AI answers.
As we worked closely with our developer-focused customers, we quickly realized the next frontier is coding agents.
Coding agents go beyond recommendation to implementation. The full user acquisition cycle can complete inside of the terminal.
With the help of our incredible customers, we quickly iterated towards a complete Agent-Led Growth platform.
Just a few months later, we're proud to offer the only fully integrated solution on the market that drives growth across AI Chat and Coding Agents. Fully unified across MCP, CLI, and API surfaces.
https://t.co/tQa3iVkLe1
We sat down with Caelean Barnes(@the1024th), CEO of Gauge (@gauge_sh), to talk all things agent-led growth on the latest episode of Dev Talks.
Check out our latest blog to learn more.
https://t.co/dW3DXKOOnK