Twymango

Professional Photographer / Videographer | Yoga Teacher | Commissions: OPEN , Bookings: OPEN

[Vadim @VadimStrizheus]

Every single clipper after reading this article

[Ventry @ventry089]

this kid is 18. his app makes $1.4 million a month

one function: take a photo of your food - get the calories

the entire product is one API call. photo goes in, JSON with calories comes out. frontend shows the number

Cal AI. 15 million downloads. MyFitnessPal acquired them

marketing: tiktok. influencers film themselves photographing their food. viral by default - everyone eats every day. CAC close to zero

one vision API request: $0.01-0.03. user subscription: $5.99/month. margin 80%+

someone already built an open-source version of the same thing:

https://t.co/xB013hVTJE -> photo and text analysis, meal history, weight tracking, model selection, PWA, works offline

a $1.4M/month app is one vision API call and the right distribution. the code is open. distribution is your problem

[Noisy @noisyb0y1]

A GERMAN DEVELOPER REPLACED HIS ENTIRE DEV TEAM WITH KIMI K2.6, VISUALIZED EVERYTHING IN OBSIDIAN AND NOW MAKES $80,000/MONTH SOLO

1 trillion parameters, 32 billion activated per token and a SWE-Bench score of 65.8 - Kimi K2.6 reads the entire client codebase, understands the architecture, writes production code and ships for $150-300 in API costs while a traditional agency pays developers $4,800 for the exact same project.

300 parallel agents per run deliver 100+ files simultaneously - search, analysis, coding and writing all in parallel - and Obsidian visualizes the entire knowledge graph in real time while the agents work.

A traditional agency with 10-15 people keeps 30% margin after salaries. He keeps 90% - $72,000 in monthly profit with $500 in overhead.

By month 10 Kimi handles 80% of the technical work and he manages only strategy and client relationships - while Obsidian maps every project, every client and every agent in one graph that updates itself.

[winkle. @w1nklerr]

A girl makes $9,000 a month sitting by the pool with just a tablet

She finds a viral kids song like Baby Shark or Surprise Symphony.

Copies the info and asks AI to build a prompt for a show just like it.

One message back and a full video concept is ready.

She drops it into Picsart and Veo 3.1 builds the entire clip.

Dancing alphabet characters, glowing stars, animals celebrating together.

No studio, no camera, no laptop, just poolside and two apps.

Kids content gets billions of views because parents loop it on repeat for hours.

That loop is what gets her to $9,000 every single month.

Save this before everyone starts running kids channels from their sunbed.

[Rahul @sairahul1]

18-year-old American found a roofing company on Google Maps with 4.9 stars and no website, copied their reviews and pasted them into ChatGPT 5.5.

2 minutes later - a complete brief.

Pasted it into AI and just waited while the system built a full website with all pages, reviews and a booking button.

Called the owner and showed him the live preview. He said yes immediately because he'd been meaning to fix this for years and never had the time.

Invoice for $1,000. 47 minutes of work from the first search to a closed deal.

Then he built a machine.

AI pulls 200 businesses from Google Maps in 10 minutes, writes a personalized email for each one with their real business data - 500 emails a day, 3% respond.

Month one - $4,000, month six - $15,000-20,000. Five million businesses on Google Maps are still waiting for that call.

[Vadim @VadimStrizheus]

Meet Vugola.

the AI agent that automates your entire clipping workflow.

I made a product ad with @Creatify_AI showing how Vugola finds the strongest moments and turns them into ready-to-post clips.

Built in Creatify Ad Flow with GPT Image 2 + Seedance 2.0.

Process + replay below ↓

[Oliver Henry @oliverhenry]

TikTok account warming is nearly complete

Up to 6 devices on OG Larry

The accounts are very nearly warm

Next, we start posting.

It’s all coming together

[Simplifying AI @simplifyinAI]

This tool lets you face-swap on a live webcam in real-time.

Runs in real-time. Perfectly maps to your face.

100% open source.

[Vadim @VadimStrizheus]

I JUST BUILT A 24/7 CLIPPING AGENT INSIDE HERMES AGENT!! 🤯

it already printed 168,000 views on a brand new account

all I have to do is paste a simple YT link:

Hermes agent:
> finds viral moments
> crops to the speakers
> adds captions
> schedules and posts for me

vibe-marketing is finally here.

[Vadim @VadimStrizheus]

be the one skill kevin o'leary keeps paying more for:

> 2021: $48k a year
> the job: take a long video, cut the 59-second moment, turn it into customers
> 2026: he pays you $250k
> the best of you clear $500k as contractors
> "those people in their early 20s are so valuable now"
> may 2026: higgsfield turns you into a button.. url in, clips out
> every account on this app says clipping is dead

vibe-clipping is here.

[Vadim @VadimStrizheus]

do you understand what just happened with Claude?!

Claude can now run the entire clipping workflow end-to-end.

No human in the loop.

You didn't hire an editor, you hired an agent.

→ feed it a 1-hour video
→ it picks the moments
→ captions in your style
→ writes the titles
→ schedules the post

20 minutes. zero clicks in between.

We didn't make editing faster. We deleted the editor.

The bottleneck was never the AI.

it was waiting for the model to be smart enough.

[Rony @Ronycoder]

INSTEAD OF WATCHING AN HOUR OF NETFLIX.

This 60-minute MIT lecture will teach you more about building companies than every startup book you've read combined.

Bookmark it and give it an hour, no matter what.

[Vadim @VadimStrizheus]

Day 4 of vibe coding everyday until I can afford a Porsche GT3 RS.

@Porsche

[Noisy @noisyb0y1]

A regular Chinese student bought a Mac Mini on eBay for $340 - and launched a TikTok account farm from it making $40,000 a month.

Opened Claude Code, described what he wanted - an automated account management system, scheduled content publishing, analytics for every profile.

Claude wrote all the Next.js code, pushed commits to Gitee, tested configs - he just watched the terminal.

50 accounts, each in a separate niche, content generated by AI and published 24/7 without him touching anything.

First month - $8,000.
Six months later - $40,000 recurring.

Mac Mini on eBay for $340, Claude Code for $20 a month - nothing else. Office, team and ad budget stayed in the last century.

[Dep @0xDepressionn]

$100,000 in one day from a Shopify store

the tools that made this possible cost $69/month total

Claude Pro. ChatGPT Plus. Shopify Basic

the gap between this and where most people are isn't budget

it's knowing what changed on May 4th

[Blaze @browomo]

This Chinese guy created 13 agents in Claude Code for Shopify stores and single-handedly serves 200 dropshippers a month, taking $800 from each.

He sits at one desk in front of a wall-mounted LG monitor split into a 3x2 grid of 6 Claude windows, another identical grid runs on a vertical display next to it, plus 1 window on the MacBook within arm's reach, totaling 13 agents simultaneously building Shopify stores, each busy with its own part.

No team, no managers, no support, just him, the monitor, and the API counter ticking in the header of every window.

He is not on a subscription but on an API rate billed by tokens, and he figures 13 parallel agents pay for themselves from the very first client, because every finished store goes for $800, and all 13 windows together consume less than $80 a day.

In the first window he set that system prompt which immediately closes the "assistant or employee" debate:

"you are my new founder-engineer"

So the model knows at what level it was hired: not to hint, not to advise, not to supplement, but to own the result, because for this Chinese guy Claude is no longer a helper in an IDE, it is a partner in his small factory, billed by tokens and never leaving for lunch.

And the other 12 agents he spread across the layers of the store, so each one sits in its own context and does not interfere with the neighbor:

"build a catalog of 80 products and rewrite the descriptions"
"lay out the homepage for the niche of the client"
"set up the cart, payment, and shipping by country"
"generate 30 email chains for warming up"
"design 50 banners and a logo for the brand"
"set up analytics and A/B tests on the homepage"

In a regular agency each task like this would take one designer or developer a full 2 days, because they would first collect the brief, then wait for revisions, then get on a call, whereas this Chinese guy has all 13 agents working in parallel in their windows, and while one writes descriptions, the second is already laying out the homepage, and the third is designing banners.

In the end on the wall it looks like a factory: 13 identical Claude robots writing into one project, and the Chinese guy himself in the chair in front of them decides only 2 questions, which client to hand the finished store to and who to take next, and beyond that he does nothing.

And economically it is still cheaper than keeping a team of 5: one operator like this closes 6 to 7 finished stores per day at $800 each, while a traditional design agency charges $3,500 for the same store and builds it over a full 2 weeks, whereas this guy spends less than $80 a day across all 13 windows.

Wires hanging out, the monitor bolted to a stand, no office and no employees, just 1 desk, 13 robots, and a queue of dropshippers who send new orders every morning.

In my opinion, this is the most efficient solo Shopify factory I have seen this year, and it is already running right now, while traditional agencies are still debating whether AI will take jobs from designers.

[Blaze @browomo]

This Chinese guy created agents in Claude Code for landing pages and single-handedly serves 47 small businesses a month, taking $400 from each.

He built a system of 7 agents on Claude Sonnet 4.6 that analyzes Google Maps in small towns, finds small businesses without websites there, and over 1 weekend takes each one to a finished mockup with video and cold message.

No assistant, no sales team, no SDR. Just him, a MacBook, an iPhone, and 1 API key.

And traditional web design agencies keep teams of 8 people on salary for the same order flow, while his expenses are only tokens and subscriptions to Lovable, Higgsfield, and Calendly.

7 agents work through 1 orchestrator on Claude Code Router. Usage is about 3 million tokens a day, the average API bill is about $480 a month.

All 7 go through MCP servers and write shared state to the file system, without shared state in memory and without race conditions, and 1 of them lives right in the iPhone and picks up positive replies from the subway, a taxi, or on walks.

And here is the system prompt he put into the orchestrator before launch:

"You are the orchestrator of a solo agency that sells ready-made websites to local businesses. You delegate read-only tasks to 6 sub-agents and own all writes.

sub-agents:

// Scout (walks through Google Maps in selected cities, looks for narrow niches: 5+ years on the map, fewer than 50 reviews, no website or a website from 2014, but high ratings)
// Diagnoser (for each lead writes a 50-word diagnosis, hero angle, tone matched to the industry, and a cold message under 70 words)
// Builder (generates a landing page mockup in Lovable through MCP only for the top 5 leads per day, with the sharpest diagnoses and the biggest gap)
// Filmer (pulls 5 screenshots of the mockup and through Higgsfield renders a 10-second vertical video 1080x1920 with a soft zoom)
// Pitcher (sends a personalized cold message through the right channel for the niche: email to roofers, SMS to tradesmen, IG DM to salons, LinkedIn to realtors)
// Checker (runs every message through evals for personalization, absence of AI markers and buzzwords before sending)
// Mobile (lives in the iPhone, handles positive replies in real time, books Zoom calls in Calendly through MCP while the owner is on the go).

You never let 2 sub-agents touch 1 lead. You stop and request approval from the human only when a deal exceeds $3,000 or the reply rate in a niche for the day drops below 12%."

Meaning the system knows what it is and within what boundaries it is allowed to act.

It knows it is supposed to find leads on its own.

It knows it is supposed to take each one to a mockup, video, and cold message without intervention.

It knows the human only steps in when a deal goes above $3,000 or the reply rate stops converging.

→ The system runs 24 hours a day

→ Scout goes through about 220 local businesses on Google Maps per day and leaves 30 new leads in the queue

→ Diagnoser outputs 30 structured diagnoses + briefs + cold messages per day

→ Builder assembles 3 to 5 finished landing pages in Lovable for the sharpest leads

→ Filmer renders a 10-second vertical video in Higgsfield for each one

→ Pitcher sends 30 personalized messages per day across 4 channels with a reply rate of about 14%

→ Checker runs every message through evals before sending

And only when a deal breaks $3,000 or the reply rate for the day drops below 12% does the orchestrator wake the owner.

And when the owner at that moment is sitting in the subway or a taxi, the Mobile agent in his iPhone picks up 1 move on its own: replies to a fresh positive reply from a dentist, books a Zoom through Calendly synced to the local time of the client, and puts the lead back in the queue. The owner only has to tap "approve" and in just 10 minutes join the call.

Here is what the system writes in his log during 1 of the Saturdays:

"scout report: 218 businesses checked in Austin, Denver, and Miami, 34 without a website, 19 with a website from 2014, 6 with an active redesign request in reviews. passing top 30 to diagnoser."

"pitcher: 30 cold messages sent across 4 channels, 14 replies, 5 positive, 3 Zoom calls booked for Sunday. passing to closer."

"builder: landing page for Westside Cosmetic Dentistry built in Lovable, 5 sections, mobile, soft beige. URL placed at /Users/dev/maps-agency/clients/westside/v1. filmer launching Higgsfield."

"eval flag: deal with The Lotus Salon at $3,400 exceeds the approved limit of $3,000. sending for manual review."

He has no server of his own and no separate backend.

Just a local file sandbox at /Users/dev/maps-agency, an MCP router, 1 API key to Claude, and the same key forwarded to Claude Code on his iPhone.

Out of everything I have seen this year, this is the cleanest one-person agency for selling websites to small businesses: $480 a month on the API, about $18,800 into the account, and between them 7 prompts, 1 file system, and 1 phone in the pocket.

[Vadim @VadimStrizheus]

Day 1 of vibe-coding everyday until I can afford a Porsche GT3 RS.

[Vadim @VadimStrizheus]

I quit my job to be a full-time vibe coder 😭

[Marry Evan @marryevan999]

CLAUDE SCANNED GITHUB FOR 24 HOURS AND CAME BACK WITH A POLYMARKET BOT WALLET UP $143,379.

He reverse engineered it overnight, threw $90 at the strategy, and woke up to instant proof it was real.

You only need Claude+ laptop + 1 hour/day.

Giving This Free for 24 hours. To get it:

1. Comment the word 'Anthropic'
2. Like and Retweet this post
3. Follow me @marryevan999