GammaVibe Labs
Stop searching for ideas. Start shipping them.
Every morning, an autonomous AI pipeline scans a thousand news articles, filters out the noise, and synthesizes one validated, high-quality SaaS opportunity.
Read a Sample Deep Dive


...or browse the full idea archive.
Inside Each Daily Deep Dive
- ⚡ The Signal: The specific news event triggering the opportunity.
- 🚧 The Problem: The market failure or pain point that needs solving.
- 🚀 The Solution: The high-level startup concept to capture the market.
- 🎧 Audio Edition: Podcast-style audio overview.
- 💰 The Business Case: Revenue models and tiered pricing strategies.
- ⚔️ The Moat: How to defend against incumbents and copycats.
- ⏳ Why Now: The urgency and specific market timing.
- 🛠️ Builder’s Corner: A recommended technical MVP stack (libraries, APIs, and architecture) to build it in 2 weeks.
GammaVibe is 100% free and open, kept running by a voluntary Patreon tip jar.
Behind the Scenes: The GammaVibe Lab
GammaVibe is two things in one place. The daily startup ideas are generated end to end by an autonomous, state-based pipeline, no human in the loop. The lab updates are written by me, documenting what I'm building and learning along the way. The pipeline is the lab's first big project, and this newsletter is its live deployment.
Curious how the engine works? Read the full technical deep dive:

...or read the engineering logs
Build Your Own Agentic Pipeline
Want to build an autonomous pipeline like this yourself? The Agentic Pipeline course walks you through the full build, the same architecture that powers this newsletter, from ingestion to finished edition. It's free, around seven hours across 44 short lessons, with starter files and a complete reference implementation in the public course repo. Built for senior engineers and independent builders.
Who is behind this?
I'm Mirko, a software engineer with decades of experience shipping products at startups and Google. GammaVibe is where I build in public: I create autonomous AI systems, run experiments with agentic engineering, and share what I learn, including what doesn't work. This newsletter is the longest-running experiment, publishing every day with no human in the loop.
Join the lab. 👇



