Hollow Signal is an independent publication covering technology, AI, digital culture, privacy, startups, and futures. Founded in 2021. Funded entirely by readers. No ads. No sponsors. No algorithmic incentives.
Most technology coverage is funded by the advertising economy it covers, staffed by generalists working on deadline-per-day schedules, and optimized for search traffic and social sharing rather than depth and accuracy. The result is coverage that amplifies press releases, validates incumbents, and rewards confident wrongness over careful uncertainty.
Hollow Signal was built to be the alternative — slower, more specific, written by people with genuine expertise in what they're writing about, and funded by readers who want journalism that treats them as adults capable of handling complexity and uncertainty.
Every article is written by someone with genuine expertise — researcher, practitioner, or journalist with deep domain knowledge. No generalists covering unfamiliar fields.
Where evidence is mixed, contested, or preliminary, we say so. We don't manufacture confidence to satisfy readers who prefer false clarity to genuine complexity.
No ads, no sponsored content, no brand partnerships, no affiliate arrangements. Our only financial relationship is with readers who choose to subscribe.
Factual errors are corrected with visible correction notices. We don't silently edit or delete. Contact corrections@hollowsignal.press with evidence.
We publish when a piece is ready, not when a press cycle demands it. Articles run long enough to develop actual arguments, not just assert positions.
We identify our sources, disclose conflicts of interest, and distinguish between what sources say, what evidence supports, and what we interpret. These are different things.
Researcher and writer covering AI systems, their limitations, and the gap between industry claims and technical reality. PhD candidate in cognitive science.
Technology attorney and journalist covering data privacy law, platform economics, and digital rights. Former EFF staff attorney.
Former VC analyst turned journalist. Covers the political economy of venture capital, founder culture, and startup ecosystems. Based in SF.
Semiconductor engineer turned writer. Covers chip design, compute infrastructure, and the physical constraints shaping AI's trajectory. PhD, MIT EECS.
Biosecurity researcher and science writer. Covers synthetic biology, emerging technology governance, and long-range technological risk.
Sociologist and cultural critic covering how digital platforms reshape attention, identity, community, and the texture of everyday life.
We accept pitches from specialists in technology and adjacent fields. See our pitch guidelines and contact editorial@hollowsignal.press.
Pitch Guidelines →All articles are free to read. The weekly newsletter dispatch is free to subscribe to. We don't have a paywall. Revenue comes from readers who choose to become paying supporters — nothing is gated. We believe in open access to quality journalism.
Advertising creates incentive structures that conflict with independent journalism. When your revenue depends on advertising from technology companies, reporting critically on those companies carries real financial risk. Reader funding eliminates that conflict. We can report on any company without worrying about their advertising spend because they don't have any.
We accept pitches from specialists — researchers, practitioners, engineers, lawyers, and others with direct domain expertise in technology and adjacent fields. Email editorial@hollowsignal.press with your proposed argument (one paragraph), your relevant expertise, and two writing samples. We respond to pitches within two weeks. We pay a flat $500 per piece on publication.
Email corrections@hollowsignal.press with the specific claim, the article, and evidence that the claim is incorrect. We investigate every correction request. Confirmed factual errors receive a visible correction notice appended to the article. We don't silently edit. We don't correct interpretation or opinion — only demonstrably incorrect factual claims.
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