it seems like most smart young ppl i know have recently pivoted from building vertical agents to:
1. selling data/RL environment
2. physical AI/robotics/world models
3. web lab/drug-discovery
so many of my girl friends are afraid to post on X (despite being extremely smart, hot, & talented) and are always asking me for advice.
so here's my advice for growing on X if you're a girl who is into marketing / growth / startups / tech / vc:
(my credentials are I grew to 2k followers in a couple months and I am 76/100 on @distributedkv's top women creators on X list)
1. post every thought you've ever had (post minimum 10x per day your first month). doesn't need to be about any specific niche.
2. post every form of content you have - i recycled Substack articles as X articles, i post my IG vids, carousels, Linkedin posts, stories, etc.
3. comment & engage on posts where you have opinions worth sharing. i comment / quote tweet more than 10x per day.
4. post a lot of pictures. they don't have to be related to your topic.
5. introduce yourself many times until you stop getting views on it (search X intro post for format reference).
6. hop on trends that are getting a lot of impressions (even if they are silly). also take inspo from formats on other pages that are doing well.
7. pay attention to your analytics - which posts are generating follows vs. likes vs. impressions. learn the patterns that optimize all 3.
should I start a girl's-on-X support group chat where we can hype each other up & share tips?
JOB ALERT: I'm hiring a new Chief of Staff. Can you help me spread the word?
If you know anyone smart and capable who’s looking, send them my way!
(I'd also love any help amplifying this, like liking/replying/etc. to this post!)
The more I speak to founders, creators, and bizz owners, I realize just how in-demand a Head of Content is right now.
It seems like my entire network is hiring one.
The next wave of millionaires will be marketers, storytellers, and creatives.
Very exciting times.
A research leader at a frontier lab told me the data market will grow by 100X.
If Mercor maintains, let alone grows market share, we will be a trillion dollar company.
One interesting paradox in AI:
As inference gets cheaper, the number of AI-powered features we use could increase dramatically.
Lower cost per request doesn't necessarily mean lower total spending.
The economics of AI software might look very different from traditional SaaS.
How to become a Head of Content in 2026 (stage by stage):
Stage 1: The Writer
• Post daily on X or LinkedIn
• Break down 50 viral posts: hook, structure, CTA
• Goal: write things people actually stop and read
Stage 2: The Distributor
• Learn how each platform's feed picks what to show
• Turn one idea into a thread, a carousel, a short video and a newsletter
• Goal: get the same idea seen 5x more
Stage 3: The AI Operator
• Use Claude or ChatGPT for research, outlines and drafts
• Make visuals with Ideogram, decks with Gamma and clips with Opus Clip
• Goal: do the output of a 3-person team alone
Stage 4: The Systems Builder
• Build a content calendar, idea bank and approval workflow
• Write SOPs so a freelancer can run it without you
• Goal: content ships even when you're offline
Stage 5: The Growth Owner
• Tie content to signups, pipeline and revenue
• Learn SEO, landing pages, email and small paid tests
• Goal: prove content makes money
Stage 6: The Head of Content
• Use your own account as a live case study
• Show 2–3 case studies with real numbers
• Pitch startups: "Here's what I'd do with your content in 30 days"
• Goal: get hired to own the whole engine
Most people stay stuck at Stage 1.
The job is at Stage 6.
Bookmark this.
Which stage are you at?
AI is making software cheaper to build, but more expensive to run.
Traditional SaaS has relatively predictable marginal costs. AI apps incur real inference costs with every interaction.
I think this will fundamentally change how consumer software is priced.
arguably the two most sought after non-traditional hires right now fit 2 archetypes
- founder-storyteller
- engineer-storyteller
so it’s a startup generalist (GTM/product leaning, ex-founder or future founder) & an engineer (or product eng) archetype - and you want both to be intuitive storytellers
and the story they’re telling is just as much about the company and its people and why the next great talent should work there (brand) as it is about the product
there are only 10-15 people who come to mind who do this so well that it’s obvious right now
and for a truly high growth AI startup, you want multiple of each playing big roles in your company
i got 9M views in the past 3 months, then X changed its algo a lot, so I read the code to keep playing the game (it's open source)
Here's how X actually ranks posts (Oct 2026)
- Copy-link share 20. Reply 5. Quote 5. DM share 5. Follow 4. Repost 1. Like 0.5.
- Likes barely move the score. Write things people copy the link to, argue with, or send to a friend.
- The first 2 hours decide everything.
After 48 hours a post drops out of For You completely. Post when your audience is online, then stay in the replies.
- Build mutual follows. When you reply to a mutual follow inside your own thread, that reply gets an extra +15, for 20 total, the same as a copy-link share. Reply to the people who follow you back.
- Don't delete and repost to fix typos. Use edit.
- Images aren't penalized, but they should carry information. Real scenes, screenshots, and proof-style images work better, and multi-photo posts keep people on the post longer.
- Video: watch time currently counts for nothing. Only opening a video counts (0.07). Don't force video for the algorithm.
- Ordinary links aren't penalized (anymore); only malicious links are removed.
- Avoid negative feedback. Report −234, mute −58.8, "not interested" −47.5, block −31.2. Tagging strangers to ride a trend and clickbait headlines are the easiest ways to trigger them.
- Replies are scored by Grok from 0 to 3, and low-scoring replies sink to the bottom of the thread. Low-effort replies don't just fail to help, they get buried.
hiring is so hard for early stage startups bc you want someone who is
- insanely proactive and thinks 10 steps ahead (you can tell how proactive they are from the interview process)
- exudes excellence + never delivers anything mediocre. ever.
- has great exec presence so you can put them in front of customers
- already deeply knowledgeable about your industry before day 1
- high APM (actions per minute) and just an execution machine
- knows how to wield AI like a weapon + when to use vs. not use it
- great network that you can hire from as well
The first On-device Agent Payments in Underdog
Thanks @stripe@link@jeff_weinstein and 20+ Stripe engineers for working closely over the past few weeks to make this happen!
Try it out today in Underdog. Users now have invite links
Just read about ~150 investor update emails this morning. Before my context window compresses …
… here's what the best startups do after the YC batch:
- Focus on growth. 'if grew last month, do <same>, else try <other thing>' This algorithm is simplified, but you get the idea.
- Have a through line month-to-month. Good founders reflect, push, learn constantly. Bad is when every update reads like a totally new set of goals/ideas.
- Write company updates in the first place!
In the summer of 2023, my friend @benspector, who co-founded Anysphere (aka Cursor), reached out to one top venture funds in Silicon Valley, suggesting we meet.
They turned down the intro, saying it wasn’t a category they were interested in.
Ben insisted that he thought our team was special and that they had to meet us, but the partner still wouldn’t even take a meeting.
I drove over to their office on Sandhill Road and left a note at the front desk saying: “I think you couldn’t be more wrong. This is the largest opportunity of the 21st century.”
They ignored my note, and I never heard back.
My cofounders were still enrolled and left torn as to whether they should drop out with no funding.
We ended up taking the leap of faith and building the fastest-growing company in history.
It was a valuable lesson in persistence and why not to listen to investors.
The best startups are deeply contrarian.