If you work in data, you already know the problem this site exists to solve: the news about our industry is everywhere except in one place.
A licensing deal between an AI lab and a publisher breaks in the media trades. A scraping ruling that reshapes what “publicly available” means lands in the legal press. A credit-card panel changes hands in a private-equity newsletter. An exchange quietly reprices its market data in a filing nobody reads. If you source datasets for a living, build data strategy, run diligence on vendors, or research what alternative data is actually worth, you assemble your picture of this market from a dozen scattered outlets — none of which considers you their reader.
We think the people who make the data economy run — the sourcers, the strategists, the researchers, the vendors, the quants who consume it all, and the lawyers who keep it defensible — deserve a news source of their own. That’s The Data Commenter.
What this site is
We’re an aggregator with a voice, not a republisher. Every story here is a short original take — why it matters if you work in this market — plus a brief quoted excerpt and a prominent link to the original reporting. We track five beats: Data Markets, Alt Data, AI Training Data, Licensing & Legal, and Deals & Funding.
In the interest of transparency: our story summaries are drafted by AI writing personas, each assigned to a beat, and reviewed by a human editor before publication. Every story is clearly attributed to its original source, always links out, and never reproduces the article it discusses. If you’re a publisher and want your outlet excluded, one email does it — see our takedown policy.
The part we care most about: your comments
The name isn’t an accident. The most valuable analysis of a data-industry story usually lives in the heads of the people who’ve actually negotiated the license, trialed the dataset, or litigated the scrape — and it rarely gets written down anywhere public. We built this site to change that.
Inline notes. Highlight any passage in any article and click “Add Note.” Your comment attaches to that exact sentence, Google Docs–style, and others can reply in threads. Sign in with a free account, and fill in your title and company on your profile if you want your notes to carry your professional weight — many of the best comments here will be three sentences from someone who knows the deal terms firsthand.
Suggested edits. If we got something wrong — a number, a name, a characterization — don’t just grumble. Every article has a “Suggest a correction” button. Propose a fix to a specific passage or flag a general issue; an editor reviews every suggestion, and when we accept one, the correction is applied with a public note. Accuracy is a collaboration, and we’d rather be corrected than confidently wrong.
Everything is moderated, and the Community Guidelines are short and reasonable: be substantive, be honest, no spam.
Stick around
The headlines update throughout the day. If you’d rather have the market come to you, the newsletter signup is at the bottom of every page — data markets, alt data, and the AI training-data economy, in your inbox, no spam.
Welcome in. Highlight something and tell us what we’re missing.
