We process 1.2M+ tech news articles through language models to extract structured relationships between companies, people, and products. The result is a knowledge graph of the tech industry — who acquired whom, which products launched when, what regulations passed, and how funding flowed. Each topic below collects every extracted event of that type, ranked by how much coverage it generated. Query the graph programmatically via the Pulse API.
Funding rounds, IPOs, valuations, and major financial events in the technology sector. Venture capital raises, public offerings, and the financial architecture of tech companies — tracked from the first rumor through closing. Sorted by coverage weight to surface the deals that moved markets, not just the ones with press releases.
Product launches, feature announcements, and service debuts across the technology industry. From ChatGPT's release to new chip architectures, this page tracks the moments companies put products into the world — and how coverage responded. Sorted by coverage weight, not press release timing, so the launches that actually mattered rise to the top.
Controversies, scandals, and public disputes involving technology companies and their leaders. Coverage spikes around safety incidents, executive misconduct, platform failures, and ethical breaches — the stories that forced companies to respond. Extracted from knowledge graph data that captures not just the event but its duration, the entities involved, and how the narrative evolved.
Regulatory actions, policy proposals, antitrust investigations, and government interventions in the technology sector. This page tracks the intersection of technology and governance — from EU AI Act proceedings to US antitrust cases against Big Tech. Each entry is drawn from structured relationship data that identifies the regulator, the target, and the regulatory mechanism.
Executive appointments, C-suite departures, leadership shuffles, hiring surges, and layoffs across the technology industry. This page tracks the people moves that signal where companies are heading — who's being hired, who's leaving, and how workforce decisions reveal strategic shifts. The data captures patterns invisible in individual articles: which companies restructure simultaneously, when hiring freezes cluster, and how the talent market bifurcated between AI engineers and everyone else.
Strategic partnerships, joint ventures, and alliance announcements across the tech industry. These relationships — from cloud infrastructure deals to AI model licensing agreements — often signal where the industry is heading before product launches confirm it. Each entry is extracted from structured knowledge graph data, connecting the companies, the deal terms, and the coverage arc.
Lawsuits, patent disputes, copyright battles, and legal proceedings involving technology companies. From Oracle v. Google to the AI copyright cases reshaping intellectual property law, this page tracks the legal actions that set precedents for the industry. Each entry identifies the plaintiff, defendant, and legal mechanism from structured knowledge graph data.
Every major tech acquisition tracked by Techmeme since 2014. From billion-dollar mergers to strategic acqui-hires, this page surfaces the deals that reshaped the technology landscape — who bought whom, when the story broke, and how the coverage evolved. Acquisitions are extracted from structured relationship data across 130,000+ articles, capturing not just the announcements but the rumors, regulatory battles, and integration struggles that followed.
Every article in the tech press describes relationships — a company acquiring another, a product launching, a regulation passing. We extract these relationships automatically using large language models, then deduplicate and link them across time. The result is a structured record of what happened, not just what was written about it. Learn more about the knowledge graph.