Sometimes it can feel like the world is being buried by information. With generative AI, anyone can create content instantly, and the internet is now being swamped with what feels like white noise that drowns out the important things. That challenge hasn’t really changed. It’s no longer about making content, but about finding which content really matters.
This challenge is what drove Lior Alexander, the founder and creator of AlphaSignal, to work entirely on his own and without any outside investment. His project began as the world’s first newsroom built specifically for the AI age, and has since grown into what he describes as a response to a growing global problem: “The world shifted from a scarcity of information to an overabundance of it.”
Alexander’s journey began in 2017 while working inside an AI research lab in Montreal under the guidance of Turing Award laureate Yoshua Bengio. At the time, AI research was largely confined to academic environments. “My career started when AI was still locked inside academic labs and inaccessible to most engineers,” he recalled.
Inside the lab, he quickly noticed a growing issue. “Hundreds of papers were being uploaded every week with no tools to filter them,” he said. “Researchers were overwhelmed. That was my first exposure to the signal-to-noise problem.”
Motivated to address that challenge, Alexander built a simple system that could track and rank emerging research based on relevance and momentum. That experiment became the foundation of AlphaSignal. When generative AI later accelerated content creation across the internet, the need for filtering only intensified. “AI removed the barriers to creation and flooded every platform with noise,” he explained. “That’s when it became clear that traditional media couldn’t keep up.”
AlphaSignal was designed around a radical idea: using AI to manage the very content produced by AI. The platform operates as a fully automated newsroom, where software identifies newsworthy developments, ranks their importance, labels topics, and generates summaries.
Alexander built the system alone. “I designed the ranking models, wrote the software, developed the brand, and grew the audience by going to events in person,” he said. “I had no funding and no team.”
That approach proved effective. AlphaSignal now reaches more than 250,000 subscribers, over 500,000 followers, and generates more than 200 million impressions, all while remaining entirely self-funded.
His background in AI research, including early work on deep learning applications in healthcare and later collaboration with Google on the launch of Gemini, helped shape the technical foundation of the platform. But working alone required more than engineering skill. “I had to be the developer, the data engineer, the marketer, the salesperson, everything,” Alexander explained. “Building automated systems was the only way to scale without hiring.”
For Alexander, AlphaSignal represents more than a media outlet. It’s an early version of a larger idea: a system that helps society navigate information overload. “The real challenge now isn’t producing content,” he said. “It’s helping people understand what actually matters.”
That philosophy has guided AlphaSignal’s evolution and its growing influence across the tech ecosystem, including early exposure for companies like ElevenLabs and Lovable.
Looking ahead, Alexander plans to extend the platform beyond AI into fields like finance, cybersecurity, and biotech. “My goal is to build a universal signal engine that can rank meaningful information across every industry,” he said. “We’re entering an era where most content will be synthetic, and the real value will come from systems that can surface truth from noise.”
In that future, AlphaSignal is positioned not just as a media company but as an infrastructure layer for understanding the modern information landscape.