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d j dunn
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d j dunn
@jaredddunn
decentralized corner of the internet | always blue
Bangalore, India Katılım Şubat 2018
466 Takip Edilen227 Takipçiler
@nitish_boht @keylimepie2000 what part? doing it manually or correcting claude for the 8390th time
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@sonumbonweb Wowwww all those late night motivation works, huh?
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takes a lot to balance the equation
ella schlaghecke@ella_schlags
Normalize dating a mathematician
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A $380 billion company ran its entire growth marketing operation with one person for 10 months.
One non-technical marketer. Paid search, paid social, app stores, email, SEO. All six channels. For the fastest-growing AI company on the planet.
Here’s what makes this more than a headcount curiosity.
The industry benchmark for marketing teams is roughly 5% of total headcount. Anthropic has 3,000+ employees and just crossed $19 billion in annualized revenue. At that scale, you’d expect 150-200 marketers. The growth marketing function was Austin Lau, alone, for nearly a year.
The standard performance marketing stack at a company this size requires dedicated specialists per channel: 2-3 people for paid search, 2-3 for paid social, someone on app stores, someone on email, someone on SEO, plus managers. Call it 15-20 people at $200K-$300K loaded cost per head in San Francisco. That’s $3-5 million in annual payroll that never existed.
The headcount savings are interesting. The feedback loop is what should terrify every marketing org on earth.
Lau exports ad performance data into Claude Code. Claude flags underperformers and generates new copy variations using two specialized agents, one for headlines capped at 30 characters, one for descriptions capped at 90. A Figma plugin he built swaps copy into ad templates automatically. 100 ready-to-publish variations in half a second. An MCP server connected to Meta’s ads API lets him query live campaign data without ever opening a dashboard.
Every hypothesis and experiment result gets logged into a memory system that feeds the next cycle. So each new batch of ads is informed by everything that worked and failed before. A 20-person team running this same loop would spend half their hours in standups coordinating who tested what.
Anthropic went from $9 billion to $19 billion in annualized revenue in three months. Their own marketing operation is the product demo. One person running six channels for a $380 billion company is the most compelling enterprise sales pitch Claude Code could ever produce.
Every CMO reading this manages a team of 30+. The question worth asking: what happens to marketing headcount planning across the entire industry when the case study is the AI company itself.
Ole Lehmann@itsolelehmann
i can't believe nobody caught this. Anthropic's entire growth marketing team was just ONE PERSON (for 10 months, confirmed) a single non-technical person ran paid search, paid social, app stores, email marketing, and SEO for the $380B company behind claude here's exactly how one human is doing the job of a full marketing team: it starts with a CSV. 1. he exports all his existing ads from his ad platforms along with their performance metrics (click-through rates, conversions, spend, etc) 2. feeds the whole file into claude code 3. and tells it to find what's underperforming. claude analyzes the data, flags the weak ads, and generates new copy variations on the spot this is where he gets clever: he then splits the work into 2 specialized sub-agents: 1. one that only writes headlines (capped at 30 characters) 2. and one that only writes descriptions (capped at 90 characters). each agent is tuned to its specific constraint so the quality is way higher than cramming both into a single prompt so now he's got hundreds of fresh headlines and descriptions. but that's just the text. he still needs the actual visual ad creative, the images and banners that go on facebook, google, etc. so he built a figma plugin that: 1. takes all those new headlines and descriptions 2. finds the ad templates in his figma files 3. and automatically swaps the copy into each one. up to 100 ready-to-publish ad variations generated at half a second per batch. what used to take hours of duplicating frames and copy-pasting text by hand so now the ads are live. the next question is which ones are actually working. for that he built an MCP server (basically a custom integration that lets claude talk directly to external tools) connected to the meta ads API. so he can ask claude things like: • "which ads had the best conversion rate this week" • or "where am i wasting spend" and get real answers from live campaign data without ever opening the meta ads dashboard and the part that ties it all together and closes the loop: he set up a memory system that logs every hypothesis and experiment result across ad iterations. so when he goes back to step one and generates the next batch of variations... claude automatically pulls in what worked and what didn't from all previous rounds. the system literally gets smarter every cycle. that kind of systematic experimentation across hundreds of ads would normally need a dedicated analytics person just to track the numbers from the doc: ad creation went from 2 hours to 15 minutes. 10x more creative output. and he's now testing more variations across more channels than most full marketing teams a $380 billion company. and their entire growth marketing operation (not GTM) = just one person and claude code lol truly unbelievable
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best thread to start this morning with
Natalie Shapira@NatalieShapira
I received a calendar invite with a note. When a smart person tells me there's nothing to worry about agents, I reply "Fine. Let them email me" and that's where the argument stops. Whoever sent me this note via the calendar order. Nice move. Are you scared? You should.
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@NimishaChanda great pictures, and I’m pretty sure the room was filled with great conversations… only because you were all women!
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"you only got this because you're a woman."
i've heard this my entire career. and honestly for a long time, it messed with my head more than I'd like to admit.
last week, i got a room full of women founders in bangalore together. we also had a charm-making session, a live band and a magician performing for us.
and within the first hour, every single woman had a version of that sentence thrown at them at some point.
we talked about it all. the doubt, the noise, the audacity it takes to keep building anyway.
this is why @WomenWhoBuild1 by @residencyBLR exists. and this is just the beginning.
thank you to the partners who showed up and made this happen - @BLRxZo, @plushforher, Accio AI, @a_plawse and papaya
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Not every coffee in my hand is for drinking.
Sometimes it’s just emotional support.
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I really wish there was a startup (or consultant, or growth expert) focused on helping companies rank higher in AI search results.
Seems like a huge opportunity.
Surprised nobody is doing this yet.
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@sonumbonweb @drparacetomol @keerthi_v21 Wow. Then you should have supported that iron kada anna, don't you? Or is it not applicable to them?
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Iron Kada Anna: ₹10 per garment
Or… book an urban clap Insta maid for 1 hour at ₹99 and get all your clothes ironed.
Follow for more questionable money-saving advice.
Courtesy: @sonumbonweb
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no, a client looking for solid reputation to bank upon wouldn’t just opt for shallow momentary virality. they would want to depend on people who can foresee the long-term consequences of ragebaiting and mitigate the same.
virality without reputation/trust is merely a momentary bubble, more like nothing.
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@mesnhl I think it works for social capital because their entire business model is giving their clients virality so if their hiring post gets people talking about them, they are proving they are good at what they are charging their clients for + visibility + potential clients conversion
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you’re missing out on great long-form if you aren’t visiting and revisiting fiftytwo.in for all the good stories they wrote…
they should have never stopped!
@FiftyTwoDotIn @ATSdotIn
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reminded me of orkut…
yeah, that old!!!
James Lucas@JamesLucasIT
Here's what Twitter looked like in 2006 exactly 20 years ago
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