Founding Loghog: Changelog management with AI

Last year, I co-founded Loghog, an innovative tool designed to simplify and automate changelog management. The idea for Loghog originated from our experience with Stagent, where we needed a changelog but found the process of updating it manually too time-consuming. Loghog connects to your repository, using AI to automatically generate and update release changelogs, making it perfect for development teams seeking to maintain clear, comprehensive logs of changes.

Loghog stands out by leveraging AI to automate the creation and maintenance of changelogs. Connecting directly to your repository, it tracks changes, categorizes them, and generates detailed release notes, saving time and ensuring accuracy.

Automatic updates: Loghog monitors your repository and updates the changelog in real-time.

AI-powered: It uses AI to draft changelog updates based on repository releases.

Hosted or integrated: Leverage from a hosted changelog or integrate seamlessly with popular development tools and platforms.

Git support: Compatible with various Git systems like GitHub.

Built on the TALL-stack, Loghog uses advanced AI for natural language processing to accurately interpret commit messages and categorize changes. This tech stack ensures scalability, performance, and a user-friendly interface.

I lead the product marketing, growth and marketing automation, alongside my co-founder who develops the whole platform.

Developing Loghog has improved my knowledge in SaaS, running a startup, pricing strategies, securing funding, and strategic thinking. These experiences have equipped me to offer valuable consultancy services to other businesses.

Loghog has is soon to become a leader in changelog management, providing a comprehensive, user-friendly platform. As we grow, we’re committed to enhancing our features and supporting our users. Leading Loghog has been an incredible journey, and I look forward to helping more development teams streamline their processes.