We built CrowsEye because we got tired of being lied to.
Not maliciously—though that happens too—but lied to through omission, through lazy research, through the gradual degradation of curiosity that plagues modern media. Every company profile reads like a press release. Every product review feels bought. Every analysis hedges so hard it says nothing at all.
This is our origin story. Why a small team of researchers, writers, and reformed finance bros decided to quit our comfortable jobs and build something the internet actually needs.
March 15th, 2023. San Francisco.
I'm sitting in a Palo Alto coffee shop, trying to research a potential investment in a "revolutionary" fintech startup. Their website promised to "democratize financial access through AI-powered lending algorithms." Buzzword bingo champion material.
Twenty Google searches later, I found exactly zero pieces of independent analysis. Every article was either a recycled press release or a surface-level interview with the founder. No one had actually examined their lending practices, their default rates, or their competitive position.
I called a friend who worked in lending. "Oh, those guys? They're just payday loans with better marketing. Everyone in the industry knows it."
Everyone in the industry knows it. But somehow, none of that knowledge made it to the internet.
That's when it clicked. The information was out there—scattered across regulatory filings, industry forums, private conversations, and specialized databases. But it wasn't accessible. It wasn't synthesized. It wasn't presented in a way that normal humans could understand and act on.
The internet had become a graveyard of recycled content, optimized for search engines instead of search intent. We were drowning in information but starving for insight.
We spent the next six months cataloging exactly what was wrong with business research and analysis online. The problems fell into three categories:
The fundamental issue wasn't technical—it was incentive alignment. Existing platforms were optimized for engagement, advertising revenue, and search rankings. None of them were optimized for actually helping people understand what was going on.
September 2023. A dive bar in Miami Beach.
My co-founder and I are arguing about Tesla. He's convinced Elon is a visionary genius. I think he's a brilliant engineer with main character syndrome. We're both right, and we're both wrong.
"This is exactly the problem," I say, probably louder than necessary. "There's no place to get an honest, comprehensive take on Tesla. It's either Elon worship or Elon hatred. Where's the nuanced analysis that acknowledges both the innovation and the chaos?"
He draws a matrix on a napkin: Financial Health, Innovation, Public Sentiment, Controversy Risk. "What if we scored every company across these dimensions? Not to judge them, but to help people understand what they're really dealing with."
The CrowsEye methodology was born on that napkin. We still have it, framed in our office.
We realized what the internet needed wasn't another review platform or another news site. It needed an intelligence service—comprehensive dossiers that synthesized information from multiple sources into actionable insights.
Not for clicks. Not for ad revenue. For people who wanted to make better decisions about the companies that shape their lives.
CrowsEye exists to solve the problems we couldn't find solutions for anywhere else:
Building CrowsEye was harder than we expected. Our first dossier—on Apple—took three weeks to research and write. We thought we could pump out one per day. Classic founder delusion.
The feedback on our early work was... mixed.
"This is too long. Nobody's going to read 3,000 words about a phone company." —Anonymous beta user
"Where are the ads? How are you making money? This seems unsustainable." —Every investor we pitched
"Finally. Someone who actually did their homework." —Comment that kept us going
We almost quit four times in the first year. The research was exhausting, the economics were unclear, and the market seemed perfectly happy with its diet of recycled press releases and affiliate-corrupted reviews.
But then something interesting happened. Our dossiers started getting shared. Not by social media influencers or marketing teams—by people making actual decisions. VCs researching investment targets. Job seekers evaluating companies. Customers trying to understand if they should trust a brand with their money.
The comments section became a community of people who were as frustrated as we were with surface-level analysis. They wanted nuance. They wanted depth. They wanted someone to do the work of connecting dots across multiple information sources.
Three years in, here's what building CrowsEye taught us about the information economy:
Quality has a surprisingly large market. We worried that deep, long-form analysis was too niche. Turns out, millions of people are starving for content that respects their intelligence.
Independence is expensive but worth it. We could have built a much larger audience by accepting sponsored content or affiliate deals. But the moment you take money from companies you're supposed to analyze objectively, your analysis becomes worthless.
Controversy attracts attention, but nuance builds trust. Our most shared articles are about controversial companies like Meta and Tesla. But our most valuable readers come back for the nuanced takes on companies like Costco and Apple.
Human judgment is irreplaceable. We use tools and data to inform our analysis, but every dossier is ultimately a human trying to make sense of complex, often contradictory information. AI can help with research, but it can't replace the editorial judgment that separates insight from information.
CrowsEye exists because we believe the internet can be better than it is. Information wants to be free, but insight requires work. We do that work so you don't have to.
Every dossier is our attempt to answer a simple question: What's really going on here? Not what the marketing department wants you to think. Not what generates the most engagement. What's actually happening, based on the best information we can find and synthesize.
We're not trying to tell you what to think about Amazon or Netflix or OpenAI. We're trying to give you the context you need to make your own informed decisions.
"In a world drowning in content, we built a lighthouse. Our job isn't to create more noise—it's to cut through the noise that already exists."
We're still figuring it out. CrowsEye started as a side project and became a full-time obsession. We're adding new dossiers weekly, expanding into new categories, and building tools to help people navigate increasingly complex information landscapes.
The vision is bigger than company research. We want CrowsEye to become the place people come when they need to understand anything important—products, people, trends, technologies, policies. Wherever there's complexity masquerading as simplicity, there's an opportunity to add value.
We're also building a community. The CrowsEye subreddit has become a home for people who share our obsession with understanding how things actually work. They suggest topics, challenge our analysis, and share insights we never would have found on our own.
Building CrowsEye changed how I consume information. I became ruthlessly skeptical of surface-level takes and increasingly appreciative of genuine expertise. I learned that most "experts" on TV don't know what they're talking about, but the actual experts are usually too busy doing real work to appear on TV.
I also learned that being right isn't enough. You have to be right in a way that's useful, accessible, and actionable. Academic papers can be technically correct but practically worthless. Pundit takes can be engaging but analytically shallow.
CrowsEye tries to thread that needle: rigorous enough for experts to respect, accessible enough for normal people to use, and honest enough to trust when making important decisions.
The internet promised to democratize information, but what we got was a democracy where all votes count equally—including the votes of people who have no idea what they're talking about. Crowdsourced reviews where angry customers outweigh thoughtful analysis. Algorithms that optimize for engagement over accuracy.
We think the internet deserves better. It deserves platforms that respect your time, your intelligence, and your need to make informed decisions about complex topics.
CrowsEye is our attempt to build a small corner of that better internet. A place where depth matters more than speed, where accuracy matters more than engagement, and where helping people understand the world matters more than maximizing ad revenue.
It's working. Slowly, expensively, but working. Our readers make better investment decisions, choose better employers, and understand the companies they interact with every day. That's worth the sleepless nights and the financial uncertainty.
The internet doesn't need another blog. It needs more lighthouses.
We're building lighthouses.
— The Crow
Want to support the mission? Share our dossiers with people who would benefit from deeper analysis. Follow us on X/Twitter and LinkedIn. Join the conversation on Reddit. And if our work saves you time or helps you make better decisions, buy us a coffee. Every contribution keeps the lights on and the research flowing.