
Cheat Sheet: NYT’s San Francisco Bureau
The New York Times employs 14 tech editors in its San Francisco bureau, supervised by technology editor Pui-Wing Tam and deputy tech editor Jim Kerstetter. How many are actually pitchable?

The New York Times employs 14 tech editors in its San Francisco bureau, supervised by technology editor Pui-Wing Tam and deputy tech editor Jim Kerstetter. How many are actually pitchable?

Here are 14 targets that follow the world of EVs. Roughly half are based overseas. Could it be that US publications are betting that TVs will flop?

Here’s a short list of podcasts that might book your techie, “big-picture” CEO who doubles as a philosopher. Naturally, the bar is high.

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Fortune, TechCrunch, WSJ, NYT and CNBC were the big gainers this year in the 2024 SWMS/TikTok Index. The index comprises 14 editorial brands, all worthy of a pitch. The year-over period studied: Oct. 2023 and Oct. 2024.

Here are 14 F&B targets, almost exclusively in Tier 1 or close to, These reporters follow the food & beverage industry in a B-to-B way; they are not focused on consumers and consumption.

Here’s a cheat sheet with nine Substack newsletters and seven indie podcasts that offered predictions for 2024. Odds are good they will offer predictions again soon, for 2025. You’ll find the contact info for all 16.

This year’s cheat sheet contains 63 entries, up just a bit from 61 last year. Once again, Forbes offers the most potential, with several of its contributors likely to explore what’s to come.

The creator phenomenon is a tough one to simplify for a cheat sheet; this one is equal parts product reviewers and analytical reporters. Then again, multiple entry points can make a cheat sheet more valuable.

Here’s a cheat sheet with 15 targets who cover Kubernetes. It’s a different take on the devops and open source names you already know. Several folks at the New Stack cover Kubernetes — Joab writes the most.
YOUR ACCOUNT
FRIDGE NOTES
… and rarely reveals it. Roughly 45K opinion recent pieces from Washington Post, New York Times, and Wall Street Journal, are 6.4 times more likely to contain AI-generated content than news articles from the same publications, with many AI-flagged op-eds authored by prominent public figures. Despite this prevalence, Cornell says, “we find that AI use is rarely disclosed: a manual audit of 100 AI-flagged articles found only five disclosures of AI use.”
From WebPro News: Romanian software marketplace Tekpon acquired The Next Web (TNW) from the Financial Times, rescuing the tech media brand from closure.
The day is coming that you will not be able to avoid framing the targets in terms of red or blue. So far you’ve been able to do that. Those days are coming to a close: large swaths of “the audience” are headed in this direction. If you don’t believe it, read this from Bloomberg. You will never see better reporting than this.
Superb reporting from Business Insider on what comes after Google Search. All the experts quizzed. The gist: these technologies and techniques are borderline mythical at this point.
In the latest installment of Sound Thinking...David Strom, a well-known IT reporter and security expert, discusses the threat of AI tricking security systems and luring them to catastrophe. What will that mean to editors? When will it happen? It’s not an if, it’s a when.
Good vision here from Jay Lauf. Interestingly, Jay suggests that B2B publishing will become a service business to B2B pros, providing value directly to individuals and organizations. Static content is dying very quickly. This is the point of the analysis from this great media organization.