DISCOVERY DAILY

Every morning, you wake up to an overwhelming information landscape. Thousands of research papers published overnight. Hundreds of GitHub repositories trending. Countless discussions across forums and communities. Important announcements buried in noise.

The tools we have today (newsletters, RSS feeds, social media) force us to choose between too much (endless scrolling, information overload) or too little (missing what actually matters to us). What if there was a third way?

Discovery Daily is a hyper-personalized newsletter that delivers exactly what you care about, every single morning.

Here’s how it works: You tell us what you want to monitor. Maybe it’s “transformer architectures and attention mechanisms.” Maybe it’s “rust async programming.” Maybe it’s “NBA trades and team news.” Or all three. Discovery Daily doesn’t judge.

Every night while you sleep, specialized AI agents scan the internet on your behalf. They search academic papers on ArXiv. They monitor trending GitHub repositories. They read HackerNews discussions. They track breaking news and announcements across the web.

But here’s where it gets interesting: we don’t just throw everything at you. Each piece of content is intelligently filtered and ranked based on relevance to your specific interests. The system understands nuance. It knows the difference between a paper about transformers in machine learning versus transformers in electrical engineering.

Every morning at 6 AM, you receive a beautifully formatted newsletter that looks like it came from a 1950s editorial office. Clean typography. Thoughtful sections. Summaries written in plain English. Links to dive deeper when you want. Everything you need, nothing you don’t.

Why did we build this? Because we believe in a simple thesis: “just throw the LLM at it.”

Traditional recommendation systems require massive training datasets, complex collaborative filtering, extensive feature engineering. They’re expensive to build, slow to adapt, and often miss the nuance of what you actually want.

Discovery Daily takes a different approach. It’s an LLM-native recommendation system powered entirely by modern language models. No hardcoded rules. No rigid categorization. Just intelligent agents that understand what you’re looking for and find it.

The beauty of this approach is that it gets smarter as language models improve. We don’t need to retrain anything or rebuild infrastructure. Better models mean better recommendations, automatically. We began experimenting with this concept in 2024 using GPT-4o, and GPT-5 finally realizes the goal we set out for.

And we’re just getting started. Our roadmap includes learning from what you actually read and click, surfacing surprising connections between topics, and adapting to how your interests evolve over time. The system will learn what makes a good newsletter for you specifically.

Discovery Daily is for anyone who’s tired of information overload but doesn’t want to miss out. Researchers tracking their field. Engineers following new tools and frameworks. Founders monitoring their industry. Curious minds who love learning about diverse topics.

It’s for people who appreciate craft, who believe software can be both powerful and beautiful. Who want their morning information ritual to feel calm, considered, and personal rather than chaotic and overwhelming.

If you’re ready to reclaim your mornings and stay informed without the noise, we’d love to have you join us.