Supply-chain intelligence for tech investors
Every major tech event — earnings, datacenter buildouts, export bans, new models — instantly mapped to the public companies exposed, tier by tier. Including the second-order winners nobody is talking about yet.
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◉ Event
OpenAI files for IPO at a reported $852B valuation
OpenAI filed to go public at a reported $852 billion valuation — potentially crossing $1 trillion at pricing. Beyond the listing itself, an IPO converts the world's most-watched private AI bet into a public benchmark, and arms OpenAI with acquisition currency and cheaper capital for its compute buildout.
Existing backers get a marked, liquid position; partners get a customer with a public balance sheet.
Second-order: the largest listings reprice the whole capital-markets food chain.
Second-order: cheaper public capital accelerates OpenAI's datacenter pipeline — power and cooling get the tail wind.
A public OpenAI is a daily-marked benchmark that every AI valuation must answer to.
The small caps wired into a record IPO and its buildout aftermath — filing software, market plumbing, and overflow datacenter capacity.
⚠ Deep cuts are smaller companies with lower liquidity and higher risk. Reasoning is AI-drafted and human-reviewed but may contain errors — always verify before acting.
Confidence note: Valuation and timing from press reports of the filing; final pricing, exchange, and underwriter roster unconfirmed. Revenue-exposure figures are estimates. Deep cuts are small caps with concentration and liquidity risk — verify against the S-1 and primary filings.
Maps are drafted by our engine the moment significant news clears the wire, reviewed by a human, and shipped to your inbox.
The non-obvious winners — power, cooling, optics, substations. The part of the chain the headlines skip and the market prices last.
Every call is scored against actual price moves at 7 and 30 days. Wins and misses, on a public scoreboard. No cherry-picking.
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When a major tech event drops — an $80B capex commitment, an export ban, a new model — we map its value chain: every tier of public companies exposed to it, first-order and second-order, each with a one-line thesis and an exposure rating.
No. SympathyPlay is educational analysis of how news events relate to public companies. We track our own hit rate publicly — wins and misses — but nothing here is a recommendation to buy or sell anything.
A pipeline classifies incoming news for significance, an AI engine drafts the chain map under strict rules (no invented tickers, second-order plays required, theses under 20 words), every ticker is checked against a listings database, and a human reviews and edits every map before it publishes. See the methodology page.
Anyone can tell you NVIDIA benefits from a datacenter buildout. The edge is the power utility signing the PPA, the liquid-cooling supplier, the substation builder. That's what we surface — before the market finishes pricing it.
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Be the one in the meeting who already knows the second-order plays.