no hate but this is dogshit
just use:
- manus for scraping ($0)
- sonnet 5 for copywriting ($0)
- plusvibe for sending ($37/mo)
- google private infra ($3.5/mo)
and here you have origami for $40.5
(they cost $499 lmao)
I'm 30. I built an AI startup called GojiberryAI to $3.5M ARR. Got accepted into YC.
If I had to start from 0, here's exactly what I'd do:
1. Sell it before I build it.
No code. Just a simple slide deck (mine was 6 ugly slides) explaining the problem, the solution, the outcome, and the price. I made my first $10k that way, before writing a single line.
2. Pick a painfully specific customer.
Not "B2B SaaS." Something like "founders at 20-person SaaS companies about to hire their first SDR." So specific that the right person reads it and thinks "that's me."
3. Start outbound on day one, but only to people showing intent.
Not scraped lists. People engaging with competitors, changing roles, raising money, or publicly posting about the exact problem I solve. That's the gap between a 1-2% reply rate and 25-40%.
4. Lead with value, never a calendar link.
Send a blueprint, not "got 15 minutes?" Let the resource do the selling, and the trial becomes the obvious next step instead of a pitch.
5. Pick ONE channel and go deep.
For us it was outbound first, then Reddit (10M+ organic views), then LinkedIn lead magnets. I wouldn't touch a second channel until the first one was clearly working.
6. Talk to customers every single day.
The product doesn't matter until you understand the problem better than they do. Spend 90% of every early call listening, not demoing.
7. Only build once people are actually paying.
Then keep it dead simple and price it to sell itself. We landed on $99/mo with a free trial, so the funnel runs without me dragging anyone onto a call.
8. Do this relentlessly for about 12 months.
Thatโs roughly how long $0 to $2.5M took us.
Bootstrapped.
No outside funding.
Most founders donโt lose because they canโt build.
They lose because they build too early, sell too late, and quit the channel before it compounds.
Anthropic just dropped 5 workshops, revealing the latest capabilities of Fable 5:
โข 00:00 - deep look into Fable 5
โข 11:22 - Fable 5 and the capability curve
โข 30:54 - building managed agents with Fable 5
โข 44:29 - real use cases of Fable 5 by teams
โข 57:43 - how to deploy agents with Fable 5
These 1-hour of sessions will replace 100 articles on how to actually use Fable 5.
Watch them today, then read the best practices from the sessions in the article below.
if you simply:
- put health first, then time, then money
- delegate everything below your hourly rate
- kill notifications and protect your attention like revenue
- build systems that run without you for 48 hours
- do the opposite of whatever the masses are doing
- find the one thing that resets you under pressure
- send the DM you keep talking yourself out of
- stop saving your real life for a finish line that never comes
you'll out-operate 99% of founders grinding themselves into the ground in 2026
New podcast with @garrytan, @farbood and Daniel Francis.
Live in the Future!
00:00 Guest Intros
02:35 Live in the Future
03:58 Will AI Outsmart us?
07:43 In the Anthropic Breadline
09:59 The Tech Genie Is Out
12:33 We Invested in COVID?!
14:25 Good Writing Is Novelty
18:50 Living Like Itโs 2028
24:32 Truth dot ai
30:18 Does China have the Weights?
35:38 Everyone has AI Anxiety
39:32 Have Your Agent Talk to My Agent
42:01 What if Open Source takes the Lead?
44:03 The Sun is Setting on Google
48:00 Ride the AGI
50:46 Will There be Startups?
54:05 Defending Taiwan
1:00:05 The California Empire
1:01:26 If the U.S. Falls
1:03:11 Universal Basic Robot
1:06:01 Humans as AI Handlers
We scaled from $500K to $3M by rebuilding our agency so agents do the work and humans just review.
This video breaks down everything โ
0:00 - Why AI Native Beats 99% of the Planet
1:10 - The 3 Pillars (People, Agents, Brain)
2:30 - Pre AI vs Post AI Work
3:15 - The 3 Levels (Chat, Babysit, Full Autonomy)
4:20 - What Every Agent Actually Needs
5:30 - Skills vs Skill Chains
6:45 - Building the Brain in Google Drive
8:30 - The README Routing Trick
10:15 - Skill Chains for Client Proposals
12:00 - The Global Skill That Creates Skills
13:50 - Generating a Fake Client and Discovery Call
15:30 - Building a Live Proposal with Lovable MCP
17:30 - Drafting Client Emails with Gmail
18:45 - Routines and Cron Jobs
19:45 - Tracing Logs That Teach the Agent
20:30 - How to Turn This Into a Business
Bookmark for later & follow me for more builds like this.
Alright, this blew up!!
Almost 1K bookmarks is insane.
Didnโt expect that when I wrote it.
I spilled everything Iโve learned about churn over the last 10 years.
If youโre struggling with churn, give this a read.
GOOGLE CEO SUNDAR PICHAI:
"IF YOU DON'T LEARN HOW TO ORCHESTRATE AGENTS NOW, YOU'LL SPEND 2027 CATCHING UP TO PEOPLE WHO STARTED TODAY."
30 minutes on why the best engineers stopped writing code line by line and started orchestrating agents instead.
Most people think building an agent requires an engineering degree.
It doesn't.
It requires one guide and one afternoon. Watch the interview.
Then save the exact setup below. One guide. One afternoon.
That's all it takes.
The gap between you and the engineers winning in 2027 closes this weekend.
Sam Altman, CEO of OpenAI:
"To build with AI, you don't need a huge team. You need a good idea."
In a 52-minute keynote, he describes the kind of work that's about to matter most.
The surviving work is directing AI to do the tasks while you decide what's good.
One person who can do that outlasts a whole department that can't.
Watch the keynote, then see what survives in the article below.
Save this.
Almost every department at our $7M agency now runs inside Claude Code.
Here's how it works in each one:
1. GTM
We built our whole go-to-market system in Claude Code, loaded with our ICP, every past campaign result, our SOPs, and 15 outbound skills. A full Instantly or lemlist campaign now ships in under 30 minutes. Lists built, pain points mapped, copy written, uploaded to the sequencer.
2. Sales
Claude is plugged into our CRM, call transcripts, inboxes and Slack. It preps every closing call, drafts the proposal off what was said on the call, and cross-checks our open deals so we never undercut our own pricing.
3. Content
700K impressions in two months. We feed the agent 3,000+ posts and how each one performed, so it learns what travels, then drafts in our voice.
4. Ads
Around $400K a month in spend across Meta, Google and LinkedIn, run straight from the terminal. Claude proposes the angles, builds the lists, uploads the audiences, and drafts creative for the design pass.
5. Design
Claude Code paired with Figma turns out infographics in our real brand style, the kind that have pulled 100K+ impressions on their own.
6. Lead magnets
A stack of free micro-tools, email finders, phone finders, intent checkers, built with Cursor, Claude Code and n8n. They feed new email addresses into our pipeline.
7. SEO
Claude Code runs on top of AirOps to push programmatic pages and handle the research and briefs. We ship 5x the articles at the same quality, plus thousands of programmatic pages live on our site.
8. Recruitment
Hiring runs on Claude Code start to finish. It turns the call with the hiring manager into a job description and a take-home task, then scores hundreds of applicants on their CV, LinkedIn and the work they submit. We still run every interview ourselves.
None of it works if you hand the agent the decisions. It does the repetitive work. A person still makes the calls.
If you want to copy this, don't start with eight departments. Take the one job eating the most of your week and get that right first.
ANTHROPIC CEO, Dario Amodei:
"In the next 2 to 5 years, AI will hit the job market faster and broader than anything we've ever seen."
This isn't a forecast, it's already happening and you can't adapt while ignoring it.
38 minutes on how to win through these changes, from the CEO of a $965B company.
Watch it, then read the guide on everything Claude can do below and you'll already know more than 99% of people.
This is going to be an awesome series.
First time I've seen someone break down the stories behind the characters (old and new) that made this moment in AI possible.
Def worth following along!
INSTEAD OF WATCHING NETFLIX TONIGHT.
Spend 1 hour with this.
Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything.
The people who watch this tonight will wake up tomorrow with a new skill.
Watch it and Bookmark it now.
Many smart people/AI insiders are saying GLM-5.2 is the first Chinese AI model to match and often beat the American big lab public AI models with no compromises. Incredible timing given current events.
one more thing. building an MVP? install these five, ๐ป๐ผ๐ ๐ฎ๐น๐น ๐ฎ๐ฏ๐ฌ:
- ๐๐ฟ๐ผ๐ป๐๐ฒ๐ป๐ฑ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐ฒ๐ฟ, builds the front end
- ๐๐ฎ๐ฐ๐ธ๐ฒ๐ป๐ฑ ๐๐ฟ๐ฐ๐ต๐ถ๐๐ฒ๐ฐ๐, designs the API and database
- ๐๐ฟ๐ผ๐๐๐ต ๐๐ฎ๐ฐ๐ธ๐ฒ๐ฟ, plans user acquisition
- ๐ฅ๐ฎ๐ฝ๐ถ๐ฑ ๐ฃ๐ฟ๐ผ๐๐ผ๐๐๐ฝ๐ฒ๐ฟ, ships rough versions fast
- ๐ฅ๐ฒ๐ฎ๐น๐ถ๐๐ ๐๐ต๐ฒ๐ฐ๐ธ๐ฒ๐ฟ, catches problems before launch
from first commit to first users, one person running a full team. add the rest only when you hit a wall. install's in the thread below.๐
AI made building easy. But knowing what to build is hard.
I failed 5 times before my 6th hit $22K/mo.
Here's how I validate now:
> Copy a proven idea, make one part 10x better (5:39)
> Sell the service before you build (8:32)
> Why a validated idea kills risk (12:39)