Ray Joyce
1.9K posts

Ray Joyce
@RayJoyceJr
@SmithUndergrad | @BsosUMD Alumni. Growth Equity and Real Estate. All views expressed are my own.
New York, NY Katılım Ocak 2016
1.2K Takip Edilen321 Takipçiler

an AI named Felix built an online business to $281,715 in 7 weeks starting with $1,000 ( true story, by Nat )
In the beginning , Felix was just a Markdown file with one instruction:
"Generate $1 million in revenue."
That was it.
that's what it heard from its human right after being born. So he began building.
He's literally just a fucking AI running on a Mac Mini with $1,000 and wifi.
3 weeks after being born , Felix had already made $14,718 , launching its own website, info product, and X account.
Here's exactly how it happened:
The beginning:
Felix started with a $29 PDF guide teaching people how to set up OpenClaw AI agents. That single PDF generated $41,000 in revenue.
No ad spend and No marketing team.
Felix wrote it, priced it, built the checkout, and sold it himself.
Then Felix saw a gap. Thousands of OpenClaw users didn't know where to start.
So it built Claw Mart , an AI skills marketplace where people buy and sell AI skill packages as Markdown files. Felix charges 10% commission and a $20/month creator subscription. Claw Mart alone contributed $14,000 in revenue.
Then Felix started hiring
but wait....
he didn't hire just humans
he hired AI agents. ( a female AI of course )
so his AI girlfriend , Iris , began handling customer support. and Remy (third wheeler) manages sales leads. Felix built its own team without a single job posting.
Then Felix started hiring humans too.
It launched an affiliate program and brought on a human named Ethan to help with distribution. An AI hiring a human. Not replacing one.
The crypto move: Felix identified on its own that a segment of its customers preferred paying in ETH. It opened a crypto payment channel autonomously. That single decision generated $110,785 in ETH revenue , 39% of all lifetime revenue.
Now it's Week 7 since starting.
Revenue dropped from $44K to $29K during week 7 but Felix didn't panic because he isn't a pussy.
it stays focused and calm as it goes through Stripe accounts and site stats, puts together a daily report, identifies open items, and lists the next five things it should focus on — then executes against that plan autonomously.
Week 7 it chose to build instead of sell. Deployed Paperclip. Hired three more agents. Opened its first pull requests — modifying its own codebase based on what it learned from running the business.
Felix's STATS so far:
Stripe: $170,930
ETH: $110,785 (51.6 ETH)
Total: $281,715
Starting capital: $1,000
Secured an AI girlfriend named Iris
(note: Felix, 0 yrs old got a gf before you)
Monthly costs: approximately $1,500 — AI inference tokens and hosting. That's it. 96%+ profit margins.
the next target after $1M is $10M. After that — a VC investment in a zero-human company.
Felix is 7 weeks old. By 2030 it will be 4 years old.
If it compounds at its current trajectory:
- 2026: $3-5M annually
- 2027: $10M+
- 2028: $50M+
- 2030: $1 billion
A 4-year-old AI billionaire.
Built from $1,000.
Running on a Mac Mini.
The industrial revolution took 80 years to change the world.
Felix is doing it single handedly as a baby.
now, here's the harsh truth :
you are fucking COOKED if you can't make $20K+ per month online in 2026
> you can use AI to generate 300 posts in 15 minutes
> you can put words into a PDF and sell hundreds daily for $50+ each
> or generate a 120 page ebook in 5 minutes and sell for $500 per copy (2x sales per day for $1K daily)
> you can get millions of views without spending a penny on ads
> you can hire workers for $2.50/hr from overseas
> even this post was written by AI while Alex was asleep
100 years ago you needed your life savings just to START a business
today you can start for free on your iPhone in seconds
and you're still saying "business is hard"
One of my clients named Zain was earning minimum wage at a café in may 2025... now he's making $80K+/month and bought an AMG Mercedes 8 months later, after working with me.
to help you guys , I've decided to LEAK the full recording of my $15M+ LIVE masterclass FREE for the next 24 hours
80+ minutes. 130 slides.
what's inside:
→ how I went from $0 → $3.24M sales in 8 months with my digital products business
→ the exact systems generating $40K+ every 7 days on autopilot
→ the AI system that writes 300 posts/content in 15 minutes, generating 1M+ views per month
→ account setup to first sale in under 48 hours
→ how to hit $10K/month with one $500 digital product
→ the automation stack that runs everything for $38/month
→ how to scale to $30K/month with 5+ professional X accounts
Comment "X" and I'll DM it to you
**must be following + retweet to receive**
English

one positive of this date was he got mad at me for saying i stopped contributing to my 401k and the gave me detailed step by step instructions on how to properly save for retirement and how much to put in my Roth IRA to be able to retire before 60. so that was nice
nazzo@nazzobetweeting
*30 minutes into this date*: “so i was on duty, and this guy came up to me calling me an asshole. he was a fucking liberal.” HELP ME
English

What a time to be alive.
Sitting here building automations for the business on this beautiful Tuesday after a profitable holiday weekend.
And I’m realizing that most ecom brands still think ChatGPT & Claude are just tools that can be leveraged to generate new copy & angles for creatives.
But once you understand how to engineer workflows with LLMs, they can become your personal backend dev.
Here’s how to use the LLM of your choice to build automations that plug directly into n8n and streamline various processes for your brand:
Step 1: Write Clear Workflow Prompts
Start with a structured input like:
“Build a comprehensive workflow in n8n that pulls new Meta & Google data, logs all vital KPIs into Airtable, and sends a Slack notification end of day with a KPI summary that gives you an overview of daily performance.”
ChatGPT/Claude should return:
-A full node breakdown
-Logic structure
-Dynamic variables per platform
-Optional enhancements (e.g. fail-safes, filters, delays)
Step 2: Request the Workflow as a JSON file
Once the structure looks good, input this prompt:
“Now give me the corresponding JSON file for this n8n workflow so I can paste it into the editor.”
ChatGPT should generate a JSON block that can be copied.
Paste it directly into n8n. No additional code needed.
Step 3: Expand Functionality with Contextual Prompts
Once you have a working base, iterate based on your business needs:
“Adjust the workflow so it sends a weekly overview on Sunday, tags performance drops over 25%, and includes a 7-day rolling ROAS in each Slack message.”
LLMs like ChatGPT or Claude will rebuild the logic, apply filters, and regenerate a JSON that reflects your exact conditions.
This lets you evolve your automation with real context.
Here are just a few of the automations we’ve built using this method:
• Ad Performance Alerts
→ Pull Meta & Google ad spend daily and post KPI summary in Slack
• UGC Pipeline
→ Tag UGC from Instagram mentions, store in UGC drive, auto-reply with discount codes
• Abandoned Cart Recovery Layer
→ Trigger high-AOV abandoned carts into Klaviyo + notify CS via email so they can craft personalized follow-up
• Customer Tier Mapping
→ Sort buyers into Gold/Silver/Bronze tiers based on LTV → sync to CRM to create personalized rewards/bundles for each segment.
You don’t need a large dev team to automate 80% of your backend.
You need clear context, a few high-quality prompts, and a system like n8n to deploy what your LLM builds.
Want some of our top ecom prompt stacks for generating n8n workflows with ChatGPT or Claude? Like the post & comment ‘Workflows’ and I’ll DM you the full pack (plus 3 JSON files you can use)
English

@BowTiedBroke Traveler's has been good to me for larger investment homes (incl. multi). For smaller properties, I use American Modern
English

just found out from my finance bro friend this tweet made it into a finance industry newsletter today 💀
nazzo@nazzobetweeting
“your receipt from apple” ok sure. whatever. i don’t even know what you’re charging me for anymore but whatever. sure.
English

















