We went from 0 to 2,200 paying customers in under a year by following @ycombinator's 15 rules:
1/ Do things that don't scale. Get your first 10 customers by hand.
2/ Launch now, not when it's "ready". A mediocre product in front of real users teaches you more in a week than 6 months of polishing in the dark.
3/ Charge from day one. If nobody will pay, you don't have a startup, you have a hobby.
4/ Talk to users every single day. The roadmap you need is sitting in your customers' heads, and they'll hand it to you for free
5/ Always hunt the 90/10 solution. For almost any feature there's a way to capture 90% of the value with 10% of the effort.
6/ There are only two real jobs: write code and talk to users. Everything else (conferences, press, VC coffees, corp dev calls) is fake work.
7/ You pick your customers as much as they pick you. 10 users who love you beat 1,000 who kind of like you.
8/ Growth is an output, not a strategy. Grow before product market fit and all you're buying is churn.
9/ Do less, really well. Pick one or two metrics and judge every task against them.
10/ Know if you're default alive. Paul Graham's question: on current growth and current burn, do you reach profitability before the money runs out?
11/ Don't hire until it hurts. Headcount is not progress, it's burn. Every great startup was embarrassingly small for embarrassingly long.
12/ Momentum is the only real moat in year one. Ship something every week, even something tiny.
13/ Every great startup is badly broken at some point. The game isn't avoiding fires, it's how fast you put them out. Again. And again
14/ Ignore your competitors. Startups die of suicide, not murder. In year one, the only company that can kill yours is your own
15/ Startups rarely die from running out of money. They die because the founders fall out. Brutal honesty with your cofounder is the cheapest insurance you'll ever buy
Good luck !
This 2-hour Stanford lecture breaks down how models like ChatGPT and Claude are actually built, clearer than what many people in top AI roles ever get exposed to.
Save this and set aside two hours today. It might end up being the most valuable thing you learn all week.
A Chinese developer recorded a 2 minute tutorial on how to set up Claude Code agents. Three monitors behind him. Messy desk. Cables everywhere. Posted it to Bilibili expecting maybe 100 views.
While the West argues about whether AI will take jobs, China is already building AI farms in apartments. This guy was trying to show how. He just showed too much.
Bro pause at 0:47. Look at the right monitor.
Is that a real balance? $868K???
gabagool22. $868,862 profit. 28,620 predictions. Joined October 2025.
→ https://t.co/XrVYCkVBpI
He recorded a tutorial about AI agents. Forgot his wallet was open on the second screen. 28,620 positions. All BTC. All 15 minute windows. All green.
The comment section turned into a detective board. Someone slowed the video to 0.25x. Screenshotted every frame where the second monitor was visible. Stitched them together. Reconstructed the full wallet page from 4 seconds of background footage.
Entry prices between 2 and 10 cents. Payouts in the thousands. Every single line green. Not one red row in 28,620 entries.
The setup isn't one computer. It's a farm. Multiple machines scanning different 15 minute windows simultaneously. Together they cover every window. 24 hours a day.
He deleted the video 3 hours later. Too late. Someone had already screen recorded it. The clip hit Discord. Then Telegram. Then Twitter.
The tutorial had 200 views. The clip of his second monitor has 400,000.
707K people watching the wallet now. He hasn't posted anything since. The screens are still on. The wallet is still active. The farm is still running.
He wanted to teach people how to set up AI agents. He accidentally showed them what his were already doing.
I lost my job yesterday.
Rent was due.
No backup plan.
So I opened Claude.
Told it:
“Analyze top Polymarket wallets (last 90 days)
and build me something profitable”
$25 → $4,237 overnight.
It scanned 10,000 wallets
Filtered by win rate, sizing, behavior
Found 7 traders with real edge.
Then built an autonomous agent:
• reads live news
• maps events to markets
• detects mispricing
• finds cross-market arbitrage
• sizes using
KellyDeployed at 11:47PM.
Closed my laptop.
Woke up to:$25 → $4,237
94 trades
0 input
No emotions.
No hesitation.
Just information asymmetry at machine speed.
Wall Street pays $2M/year for this.
I pay $20/month.
Copy it →https://t.co/IPY41UFgnZ
this is actually insane
> be tech guy in australia
> adopt cancer riddled rescue dog, months to live
> not_going_to_give_you_up.mp4
> pay $3,000 to sequence her tumor DNA
> feed it to ChatGPT and AlphaFold
> zero background in biology
> identify mutated proteins, match them to drug targets
> design a custom mRNA cancer vaccine from scratch
> genomics professor is “gobsmacked” that some puppy lover did this on his own
> need ethics approval to administer it
> red tape takes longer than designing the vaccine
> 3 months, finally approved
> drive 10 hours to get rosie her first injection
> tumor halves
> coat gets glossy again
> dog is alive and happy
> professor: “if we can do this for a dog, why aren’t we rolling this out to humans?”
one man with a chatbot, and $3,000 just outperformed the entire pharmaceutical discovery pipeline.
we are going to cure so many diseases.
I dont think people realize how good things are going to get
how to use claude code + outscraper + crawl4ai to build a profitable online directory in 4 days for under $250
1. scrape 50k–70k raw records with outscraper
2. use claude code to clean, dedupe, and structure the data in passes
3. run crawl4ai to verify live sites and filter junk automatically
4. then enrich one layer at a time: inventory, pricing, images (claude vision), amenities, service areas
“BuT aN oNlInE DiRecTorY isn’t a ReAl bUsiNesS”
first it’s traffic + leads.
then it’s premium listings.
then it’s vertical saas (crm, quoting tools, booking).
then it’s agents handling intake, routing, follow-ups.
then it’s the transaction layer.
episode is available on @startupideaspod
you start with organized data and you end with owning the workflow
directories are kinda like a trojan horse.
watch
The @DarioAmodei interview.
0:00:00 - What exactly are we scaling?
0:12:36 - Is diffusion cope?
0:29:42 - Is continual learning necessary?
0:46:20 - If AGI is imminent, why not buy more compute?
0:58:49 - How will AI labs actually make profit?
1:31:19 - Will regulations destroy the boons of AGI?
1:47:41 - Why can’t China and America both have a country of geniuses in a datacenter?
Look up Dwarkesh Podcast on Youtube, Spotify, Apple Podcasts, etc.
BREAKING: AI can now do market research like McKinsey (for free).
Here are 12 insane Claude Opus 4.6 prompts that replace $5,000 consultant: (Save for later)