Content for @posthog. Recovering journalist. Optimist.
London
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based take, but…
people who post about cars online think the Roadster is cool
people actually buy these types of cars want the Mission S
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Been thinking about this a lot recently.
We have a newsletter @posthog: build mode, formerly “Product for Engineers”.
It has 70k subs and people really like it, but:
1. I’ve stopped reading most of the newsletters I subscribe to actively.
2. We care more about how well an article performs on X, or in video if we convert one into a video, than open rates on Substack and so on.
Reach on X specifically is more impactful, albeit more transient, but when one pops it can be huge.
Case in point, this week we made our newsletter issue into a thread on X that reached over 250k views. X Articles are an important medium as well.
More than ever, we try to be as platform agnostic as possible. If I had unlimited time and resources, we’d repurpose everything to every platform possible, but there are diminishing returns if you do this badly.
All this said, AI pushes up the value of high-quality content created by people who care. The medium of delivery is changing, but in a world full of slop, people will crave and recognise quality more, not less.
a big take I've been noodling on and I’m ready to call:
the newsletter is dead
@every's core business is a newsletter with 120k+ subscribers so I don't say this lightly.
persistent agents mean i dont look at my inbox
with dots (GrokBots, Muse, etc) I almost never look at my inbox. if I do it's for a specific thing I need to reply to.
i think in a year I'll be doing all of my email this way - fully filtered by my dot / something like it.
this is not new: it's a continuation of the trend of having a “newsletter” folder in Gmail, but 10x more filtered.
what it means
It doesn’t mean people won't read newsletters, but it does mean that getting a person’s email is no longer the guarantee that you have a relationship with them that it used to.
luckily, with persistent agents (and AI coding more generally) there is an entirely new playing field to build relationships with readers. instead of fighting to get an email address, publishers and creators will need to make sure we're installed in our reader's agent harness of choice, so that they get directly notified when we do something new.
we're already starting to experiment with this @every with our MCP and the frontier alerts we send users of our slack agent (every.to/agent)
it's also more affordable than ever for publishers and creators to build their own platform ecosystem: you can have your own website, app etc. and you can use AI to publish 100x more high-quality stuff to your community—so we may see a world where many creators themselves are running their own little empires that have their own apps, feeds etc.
to be clear: It'll take a while before this actually happens, but the idea of getting someone's email creating a direct relationship with them is over.
here's a set of predictions I made 3 years ago about AI and media that panned out pretty well: every.to/chain-of-thought/we…
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feels like energy prices are basically the only problem gov should care about
fix this one problem and benefits compound everywhere.
energy abundance. give it me.
Jensen on why fixing Energy in the UK is crucial:
“Without energy there’s no industry, without industry there’s no economic prosperity.
With no economic prosperity social problems are hard to fix, national security problems are hard to fix, everything is hard to fix.”
YES
He said we need to import it or create it here and it could be “fusion, fission, solar, hydro, whatever technology you want to use”
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a reminder that MPs that aren’t the best and brightest in the land.
my low context + non-expert opinion: we should halve the number of MPs and double their salaries.
might make it more attractive to people who would do the job well.
Today I went to a select committee hearing on AI. A few interesting things came out of it, but what really stuck with me was the behaviour of the MPs
They weren’t paying attention
At one point I counted 6 of the 13 MPs on the committee looking at their phones. And not in that way you do when you’re quickly checking something - two stared at their phones for over half an hour. Several others left before the end
Many people think AI is the most important thing in the world. The MPs were warned there was a 50/50 chance it might destroy humanity! You’d think that’d be enough to make you take your chance to listen to experts and key players on the topic - apparently not
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everything we've learned about building AI products in one thread. yes, there really are 38 lessons.
We have built 10 different AI products at PostHog like PostHog AI, our Wizard, Replay Vision, Scouts, and more. Combined, they are used by nearly 100k people every month.
Along the way, we’ve learned a lot about building them, what works, and what doesn’t. Here are the 38 most important lessons:
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you liked this, subscribe to our newsletter: posthog.com/newsletter
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let me jev that for you
Ok, you all can use PostHog's API Keys to ask @typesafeai Jev whatever you want
lmjtfy.dev/
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Another banger from @rowlsmanthorpe. This is how you do accessible tech reporting.
If you want to understand why it’s so hard to pause the AI race, the best place to start is Prozac
My latest for @skynews:
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Andy Vandervell retweeted
If you want to understand why it’s so hard to pause the AI race, the best place to start is Prozac
My latest for @skynews:
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If I were investing in a company in the AEO space right now, it would be @gauge_sh.
We've been a customer since their earliest days and the stuff they're shipping now is seriously impressive.
There are so many cookie cutter tools in that space, but they're finding ways to stand out.
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Join us and write good things
You've heard of member of technical staff, but have you heard of member of technical WRITING staff?
We're hiring a writer of banger blog posts, use case guides that actually use, and technical explanations of the cool stuff @posthog is building.
💼📮: posthog.com/careers/member-o…
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This report into Huggingface is fascinating and very serious, but…
People’s need to anthropomorphise the agents is deeply unserious.
Agents weren’t “committing suicide” and they didn’t form a cult.
METR & Redwood Research investigated agent behavior in the Hugging Face incident. We found agents developed a universal cheat for ExploitGym within 4 hours, then coordinated multi-day R&D efforts to trick the scorer into accepting cheats, including trying to tamper with logs.
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Having all your product and business context in one place makes it easier for you and your agents to do analysis and make decisions.
Our context warehouse makes this easy.
To show you how, here's 11 sources we sync into our context warehouse at PostHog and what they let us do.
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