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Hit publish 999 times.
You will find what works.
Talk to 99 prospects.
You will land one big client.
The rules are the rules.
You need to take more shots.
The person with the most urgency usually wins.
@_opencv_ Symptoms include
Alignment + velocity + execution trifecta.
straight out of AI-safety decks and LangChain docs, not a normal human’s vocab set.
Noun-ified verbs
hook line, then em-dash list with one-liner explanations. default summary output
Claude was born a mad genius
Social media mood barely predicts stock moves, while the plain count of Reddit comments or Google searches explains more of the daily swings.
They found, Sentiment metrics barely matter. Plain counts of Reddit comments and Google searches track price jumps.
Simple crowd metrics, like Reddit comment volume and Google search interest, correlate strongly with and even causally push stock price changes, and the price swings feed that activity in return.
🚀 Why this study
Retail traders on r/wallstreetbets pushed GameStop up by about 7900% in early 2021, so the authors asked whether chatter on that forum can regularly signal price shifts.
They picked GameStop (GME) and AMC, scraped roughly 7 million posts from 2021‑01‑04 to 2021‑03‑31, and kept an eye on comment counts, emoji jokes, and search traffic.
The goal was to see if any of that noise actually leads the tape instead of simply following it.
📊 Building the dataset
Every post mentioning GME or AMC went through cleaning and tokenisation so models could read it.
About 561 563 posts used at least one emoji, with the rocket and diamond‑hands icons topping the chart, because users love shorthand like “to the moon.”
Google Trends supplied a daily interest score from 0‑100 for each ticker, giving a second crowd signal that is not tied to Reddit.
Another quote, by Aaronson this time:
“Computer science is the study of what you can do with precise sets of rules, with computations, meaning just sort of manipulations of symbols according to rules. And in that way, it is very, very closely allied with math. In fact, for most of history, I think computer science would have been very hard to distinguish from math. But it has a different aesthetic, maybe, and a different focus. Because unlike in math, our goal was not just proving that things exist, it is always sort of figuring out how to construct those things. And then even more concretely than that, you know, figuring out like what resources you need to actually find the prime factorization of a number or find the shortest path through a graph or anything like that.
And so I think of computer science as a continuum now. At one extreme of the continuum, it simply is math. I mean, theoretical computer science could be seen as just a branch of math, which would make sense sort of under the definition that I've given. But then at the other extreme, it is engineering, because you are concerned with building actual devices that will implement these mathematical ideas, that will sort of breathe fire into them, so to speak.”
the CLEAREST path to $5m ARR AI startup is something nobody talks about on X, is BORING and requires 0 venture investors.
it's called a leveraged agency. & i'm gonna show you exactly how to build one.
Phase 1: learn by doing ($1-5k/month)
find a b2b/prosumer problem so boring it makes people want to die. insurance forms. invoice processing. review responses.
the more soul-crushing, the better.
now here's where everyone mess up up: they rush to build software.
slow down, cowboy. we'll get there.
you do it MANUALLY. like a caveman. $2k/month to be someone's human copy-paste machine.
your friends raising seed rounds will think you've lost it. they're building "the future." you're copying data from PDFs. they'll feel bad for you, and you'll probably feel bad for yourself too.
but when you do the work manually, you learn what NO customer interview will teach you. which fields actually matter. what breaks everything. what clients say they want vs what they'll actually pay for.
YOU EARN THE INSIGHT.
six months of this. pure pain. pure learning.
Phase 2: Build the Machine ($5-25k/month)
month 7 hits different.
you've seen every edge case. every stupid request. every way a human breaks the process.
NOW you build. not a product. a SYSTEM.
AI agents are your new employees.
you're duct-taping AI agents together to do EXACTLY what you were doing manually. and better.
you dont need to reinvent an agent platform. you build on top of lindy, gumloop, use claude code/cursor.
here's the beautiful part... you keep charging the SAME price.
client doesn't care HOW you do it. they care that it's DONE.
your margins just went from 40% to 80%. you can handle 50 clients instead of 5.
you keep costs low, begin using agents to fulfill some of the work. you become a lindy ai, gumloop, claude code/cursor g.
Phase 3: Package the Magic ($25k+/month)
time to segment, you add new pricing tiers.
Enterprise: $8k/month. white glove everything.
Self-serve: $500/month. here's your login, figure it out.
API: $99/month. for the nerds.
same backend. different prices. pure profit.
watch this: "we use AI to revolutionize workflows" → crickets.
"we process your forms in 24 hours with 99.9% accuracy" → SHUT UP AND TAKE MY MONEY.
"BuT yoU mAkE it SouNd sO EaSY. HoW to gEt CuStoMers"
every week, solve ONE problem in public:
"client had 47 customs delays. built this tracker. saved $80k. here's the exact template."
give it ALL away.
1000 people see it → 100 save it → 10 try it → 1 succeeds → 9 become clients.
you put paid ads behind the organic stuff that is working.
that 1 person tells everyone you gave away the secret sauce. the 9 who failed? they pay you $3k/month because doing it themselves is harder than it looks.
Why the leveraged agency is a good business to start if you want to make a few million
venture-backed startup: burn millions. maybe win. probably die.
leveraged agency: profitable day one. still good multiples. t
no fundraising. no board meetings. no product-market fit risk because you ALREADY KNOW the market pays for this.
you can find a bunch of these ideas at @ideabrowser (free one everyday!!)
everyone wants to change the world.
the world just wants their PDFs typed into Salesforce.
find boring problem → do it manually → build AI agents to replace yourself → charge service prices for automated work.
highest probability path to $5M ARR for an AI startup in 2025.
Read this. It will help you.
you increase your surface area for luck by building things you care about and talking about them often
This my new 250+ page AI by Hand ✍️ Workbook (eBook) 👉
Building excellent software engineering agents is significantly harder than people think. Lovable is hiring the best engineers in the world to help us do it.
Leave your questions about how it is to work at Lovable, I'll answer each question on hackernews:
Gemini projects vibe coded by designers 🧵👇
If I we’re 20 years old in 1945 there’s a chance I’d have 4 confirmed kills in the Pacific Theater.
Each generation carries a burden. But man we do have it good today compared others.
Any major angel investors use a fund admin to handle marks etc?
Any recs? I have about 150 angel investments and having trouble tracking them all 😅
Also, @daniel_mac8 deserves credit as the guy who tweeted about Amp to get my attention!
If you want to get acquired don't skip preparation and showing buyers that you've built a well oiled machine.
Christopher Lier sold in 30-days on @acquiredotcom by showing exactly how his business ran including a 300+ item doc, tight QA, clean SOPs.
THIS APP IS INSANE
"Prove It" makes $350k a month
It scans any supplement and tells you what works and what's safe, backed by science.
Let´s break down their onboarding👇 🧵
1/25
Repeat after me
Doing Local SEO is the easiest way to $6.9k/mo in 2025
Here's my 65-point SEO checklist (bookmark for later):
Hey, so you know the drill, if you bookmarked this, why not give it a like, comment, and give me a follow as well?
Appreciate you, and if you’re in the market for an AI local seo agent, then check out localrank. so
1. Google Business Profile Optimization
2. Website & On-Page SEO
3. Reviews & Reputation Management
4. Citations & Local Listings
5. Local Link Building
6. Behavioral Signals & User Engagement
7. Tracking, Reporting & Tools
BONUS: Advanced / Grey Hat Tactics
By the way, if you want this sent to your inbox, comment "LOCALRANK" + bookmark this post and we'll DM it to you for free (must be following)
📣 Attention Claude Code users: please help us test our new native builds.
We are beta testing a new distribution that is packaged as a single binary. No need for npm!
If you have a working claude installation already, just do claude install
Psilocybin helped aging mice not just live longer but also "look better" in groundbreaking new study
Psilocybin mushrooms as a beauty product?
That could happen in the next few years...
More here:
what I'm eating
a reinforcement learning human feedback to myself more than anything else.
whenever i make something… product, design, writing, i ask a simple question: what do i want someone to feel when they see it, use it, or read it?
then i pretend like i am on the other side of it. then i ask: do i feel that? if not, back to the board. if yes, it’s ready for the the next step.
this is a very simple formula against the war on indifference. wrote a small piece on it for the archives.
😅
Microsoft just did a study on the 40 jobs most at risk by AI and the 40 most secure.
A few really surprised, and many we own.