What is build in public and why should I do it?

Building in public means sharing your development journey on social media as you build your product. It helps you grow an audience, get early feedback, build credibility, and create marketing momentum before you even launch.

How does Makrly generate posts from my commits?

When you push code to GitHub, Makrly reads your commit messages and code changes. Our AI analyzes what you built, filters out mundane commits, and generates engaging social media posts tailored for each platform.

Is my code safe? What permissions do you need?

Yes, your code is safe. We only request read-only access to your repositories. We can't modify your code, create branches, or make any changes. We only read commit messages and diffs to understand what you're building.

Can I use my own AI API key?

Yes! You can bring your own API key from OpenAI, Anthropic Claude, Google Gemini, or other providers through OpenRouter. This gives you full control over which AI model generates your posts.

Which platforms are supported?

Currently, Makrly generates posts optimized for X (Twitter), LinkedIn, and Facebook. Each platform gets a different version tailored to its audience and format.

Adjust Your Calibration Anytime Without Losing Measurements

You can now recalibrate your measurements whenever you want without having to delete and redo them. The app dynamically updates measurement values and labels based on the latest scale and units.

We made it easier to keep your measurements accurate and flexible by allowing recalibration at any time. Now, instead of being stuck with the initial calibration or having to start over, you can adjust the scale or units whenever you need, and your existing measurements will update automatically.

Dynamic measurement updates
Behind the scenes, measurements are recalculated on-the-fly using their raw data, so the numbers you see always reflect the current calibration. When you change the scale or units, the labels on the canvas update right away, giving you instant feedback.

This improvement saves time and frustration, letting you focus on your measurements without worrying about recalibration hassles.