Steamboat tracks AI infrastructure leverage across major tech filers with the Bubble Pressure Index -- capex, free cash flow, and lease commitments pulled directly from SEC filings, not estimates.
A startup from Miami, the United States that is founded by Jadon Michael De Jesus.
This page is designed to help you find out whether Steamboat.app is good and if it is the right choice for you.
Steamboat pulls capital expenditure, free cash flow, and lease commitment data directly from SEC filings (10-K/10-Q) for 29 companies across the AI infrastructure stack, hyperscalers, chipmakers, neoclouds, data center REITs, and power utilities. Each company gets a documented "Bubble Pressure Index" score showing how reliant its AI spending is on debt versus real cash flow.
Free tier tracks 12 companies. Pro unlocks the full 29-company universe, historical trends, custom alerts, and a tracker for the actual named financing vehicles behind the AI boom (Meta's Beignet SPV, the Apollo/Blackstone Anthropic deal, and more).
Not investment advice, just the numbers everyone's guessing about.
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Modern web-based platform
As a .app domain product, Steamboat likely offers a modern, browser-based experience that doesn't require installation, making it accessible across different devices and operating systems.
Focused branding
The concise domain name (stmbt.app) suggests a streamlined, focused product identity that may appeal to users looking for a specific, well-defined tool rather than a bloated feature set.
Potential for quick onboarding
Modern web apps in this format often prioritize user experience with simple sign-up flows and intuitive interfaces designed to get users productive quickly.
Likely mobile-responsive design
Apps built with the .app domain convention typically emphasize responsive design, allowing usage across desktop and mobile browsers seamlessly.
Possible integration capabilities
Many modern SaaS tools like this often include integrations with other popular platforms, which could enhance workflow efficiency for users.
Steamboat tracks a layer of the AI story most tools ignore: leverage. Instead of just showing whether a stock looks expensive, it pulls capex, free cash flow, and lease commitment data straight from SEC filings for 29 companies, hyperscalers, chipmakers, neoclouds, data center REITs, power utilities, and turns it into a documented "Bubble Pressure Index" per company. It also tracks the actual named financing vehicles behind the AI boom (like Meta's Beignet SPV), which isn't organized anywhere else in one place.
Most financial data platforms (Bloomberg, Koyfin, Simply Wall St) are generalists, they cover everything, which means AI infrastructure leverage specifically gets buried. Steamboat is a focused lens on exactly one question: how much of the AI buildout is riding on debt vs. real cash flow. It's also far cheaper than institutional-grade terminals, and every input is sourced transparently from public filings, not a black box.
Independent financial advisors and boutique research firms who need defensible, source-backed answers for clients asking about AI exposure, individual investors trying to understand AI-sector risk without reading filings themselves, and finance content creators/writers looking for citable data instead of speculation.
I kept seeing the same "is AI a bubble?" debate everywhere, all opinion, no numbers. So instead of reading another hot take, I decided to pull the actual SEC filings myself and see what the real capex, cash flow, and debt picture looked like. That turned into Steamboat, a solo-built project that's now a real product, and my first time building and launching something like this from scratch.
Next.js (frontend, deployed on Vercel), FastAPI (backend, deployed on Railway), PostgreSQL, Clerk (authentication), Stripe and RevenueCat (billing), Resend (email), and Alpha Vantage plus SEC EDGAR for underlying financial data.
Steamboat just launched and is currently focused on early adopters, independent financial advisors, individual investors, and finance writers who want a clearer, filings-based read on AI infrastructure risk. Happy to update this as real customer stories come in.
We have collected here some useful links to help you find out if Steamboat.app is good.
Check the traffic stats of Steamboat.app on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.
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