Nick Dobroshinsky

Nick Dobroshinsky did not start as a full stack engineer or Wall Street analyst. Pushed by his parents to explore problems at the edge of finance and AI, he spotted how painful equity research was for retail investors who do not have Bloomberg terminals or hours to dig through filings. His mother brought domain knowledge from finance, his father brought AI expertise, and Nick sat in the middle translating that into a product brief that large language models could execute on.

Instead of grinding through years of CS classes, he leaned into vibe coding with Anthropic's Claude, ChatGPT, and Gemini. Nick wrote around ten lines of code himself, then used prompts to have AI architect the backend, build the interfaces, and generate the content for the platform. The constraint of being a busy high school student became a forcing function, he had to make AI do nearly all of the work, which led directly to an unusually automated research product.

BeyondSPX launched in July 2024 as a free AI financial research platform that generates plain English summaries for thousands of US stocks. It shipped real analyst style features out of the gate: semantic search that lets investors find companies by thesis instead of ticker, AI powered research reports on small and mid cap names, and supply chain visualizations that map out company ecosystems. By late 2025 coverage expanded to more than 5,000 US stocks, including overlooked micro caps and OTC names that traditional tools often ignore.

Usage data and external reporting line up. Nick's LinkedIn and multiple press pieces cite over 250,000 investors touched and more than 50,000 monthly active users, all while the product remains free. He runs the operation solo while in high school, was named the youngest 2026 Thiel Fellow, and has been profiled by outlets like the Wall Street Journal and global tech media as an example of AI native, teen led entrepreneurship.

Strip the story to mechanics and three moves stand out.

1. He used AI as a founding engineer, not a sidekick. Nick treated Claude and other models as his dev team, prompting them to design architecture, write code, and synthesize financial data into consistent stock reports, which let him ship an institution grade feature set in months despite almost no personal coding experience.

2. He picked a niche with real search demand and a clear gap. By focusing on small and mid cap stocks and long tail tickers that serious investors struggle to research, BeyondSPX gave Reddit, X, and search users something specific to talk about and link to, instead of being yet another generic AI dashboard.

3. He turned Reddit into a distribution engine. Rather than hire marketers, Nick built bots that watch investing subreddits for questions about research tools, then reply with useful context and a pointer to BeyondSPX, so every organic discussion about stock analysis becomes a potential acquisition channel that runs around the clock without extra headcount or ad spend.