Evidence first. Hypotheses labelled. Tested on paper.
Research tools for the AI build-out, fund disclosures and Boostio's own paper books, built only from public filings and market data. Every number carries its source and date, every idea says what would prove it wrong, and missing evidence is shown as missing.
Six more ways into the same evidence
Where the AI build-out could run short
Hyperscaler capital spending from SEC filings, producer prices for transformers, switchgear, turbines and chips, and the companies that might benefit in power delivery, memory and nuclear power, each with its uncertainties and what would invalidate it.
Combined capex +82.6% over 12 months · 5 candidates · 5 nuclear names, research only · 0 paper-tested · 8 evidence gaps listedOpen the radar →Physical AI watchlistWho supplies the joints of humanoid robots
Novanta, Timken, Moog and USA Rare Earth on one evidence ladder: product fit, customer wins, production orders, humanoid revenue and margins. Confirmed facts, management targets, company-wide figures and unknowns are labelled apart, with dated company sources. Research priority, not buy ratings.
Open the watchlist →Fund holdings (13F)What funds disclosed, and what changed
Real 13F filings of funds named in investing reels, verified on SEC EDGAR: holdings, new and exited positions, and why a quarterly filing up to 45 days late is research, not a signal to copy.
Situational Awareness LP: positions as of Jun 30, 2026 · Altimeter Capital Management, LP: positions as of Jun 30, 2026Open the filings →Theme exposureWhere Boostio's paper books overlap
The economic themes inside the house paper books (Wave's crypto book, Stock Trade Twins and the general stock picks), each book on its own, with anything unclassified shown as unknown.
Wave: 10 positions, 31% AI-linked · Stock Trade Twins: 4 positions, 0% AI-linked · General stock picks: no open positionsOpen the map →Stock Trade TwinsRival stocks and who leads now
Rival US stocks across every industry, which one is ahead of its twin, and a shared paper strategy that trades a gap only when it has a measured habit of closing.
Open Stock Trade Twins →Stock BestiesWho depends on whom in AI
A sourced map of who funds, buys from, supplies and hosts whom among OpenAI, Anthropic, NVIDIA, Microsoft, Amazon, Oracle, CoreWeave and others, with the filing or release behind every link, the companies an event would reach and the exposure your picks share.
Open Stock Besties →Three kinds of statement, never mixed
Filed and dated
Numbers companies and funds filed with the SEC, producer prices from the U.S. Bureau of Labor Statistics and final daily closes, each with its period, filing date and a link to the source.
Labelled as Boostio's
Why a company might benefit is Boostio's reading of the facts, shown next to its uncertainties and the specific data that would invalidate it. It is not a forecast.
Forward, after costs
An idea counts as paper-tested only once a simulated order has filled in a house paper book at a real opening price with modeled costs. No backtest is shown as a result, and nothing is proven until the record is long enough.
What these tools do not do
- No broker connection and no real orders: every position here is simulated.
- No copying of funds: 13F filings are delayed and incomplete, so they appear as research leads only.
- No personal portfolios: the exposure map covers Boostio's own paper books, never anyone's real holdings.
- No silent changes: the rules are versioned and dated, and a source that fails is shown as failed.
Follow the research as it updates
Boostio is a research-first platform in private beta: crypto candidates, daily market stories, public paper trading, rival stocks and now AI-infrastructure research. These research pages stay free and open.
Explore the private beta