Nick Dobroshinsky, the youngest-ever Thiel Fellow, built an AI equity research platform in eighth grade

Nick Dobroshinsky is 16, a Thiel Fellow, and still in high school. He is also, apparently, the youngest person ever to receive the fellowship — a claim he confirms without qualification.

His company, Every Ticker, targets a genuine gap in equity research. Wall Street coverage clusters around mega and large-cap names, leaving the vast majority of US stocks, small, mid, and micro-cap, largely unanalyzed. Every Ticker uses an agentic system fine-tuned specifically for equity research, layered on top of frontier LLMs and fed by proprietary data feeds, to pregenerate analyst-style reports on every US stock. Over 5,000 reports are currently free. Search a ticker and the report is already there, no wait, no prompt required.

“The vast majority of the US equity market is in the small, mid and micro cap stocks. But Wall Street only covers the mega and large cap stocks. So what we do is we use LLMs to generate high quality research on every single US stock, including the ones that Wall Street doesn't cover. Over 5,000 reports are completely free.”

Competitive positioning

The obvious challenge is that ChatGPT can write an equity report too. Dobroshinsky's answer is that the generic output is surface-level — passable, but not analyst-grade. Every Ticker's moat, as he describes it, is the fine-tuned agentic harness and the data infrastructure underneath it. He also argues the writing quality is differentiated: several users, he says, have asked how he produced so many reports without realizing AI was involved at all.

The goal of each report is to give a reader enough context in ten minutes to understand a company's competitive position, moats, and trajectory, then make their own call. No buy, sell, or hold recommendation — deliberately, after Dobroshinsky found through user conversations that his audience prefers to reach their own conclusions.

Origin

He opened a Fidelity account in seventh grade after convincing his parents, got into fundamentals-focused investing through Warren Buffett, and built the first MVP over the summer of eighth grade in three days after noticing that smaller-cap stocks, where he believed mispricings were more common, had almost no quality research available. Before that, from fifth through seventh grade, he spent five hours a day building a Roblox game that ran to tens of thousands of lines of code and ended up, in his words, a complete flop — though it did generate some revenue.

Next steps

He plans to move to San Francisco, is currently a solo founder, and expects Thiel Fellowship money to cover server costs and rent in the near term. The product roadmap points toward owning the full research workflow, starting with high-quality reports and expanding into adjacent steps from there. A subscription model is planned, but the current focus is growth.

The near-term question is whether fine-tuning and proprietary data feeds hold up as a moat as frontier models improve and the cost of replicating a basic research workflow keeps falling.