Pedro

AI Creator | From AI ideas to real-world impact | From idea to product

[Pedro @0x_pedro]

@0x_fokki the idea of using such tools is incredable, seedance is on the top of that

[Pedro @0x_pedro]

A 16-year-old kid borrowed $19 from his parents and wouldn't say what for.

Half a day later, he dropped a 6-second clip that hit over 3 million views by morning.

His idea was simple: a regular late-night pickup game on blacktop, except one of the players is a 16-foot giant. Same asphalt. Same crowd. Same basketball. Just one massive guy towering over the hoop, casually snatching the ball mid-air and staring down at stunned defenders.

He didn't invent a new genre. He took the viral giant trope already blowing up online and anchored it in reality. Not a monster wrecking a skyline. Not a fantasy titan. Just a dude in a tank top and sneakers pulling up to a neighborhood court and turning a local run into pure comedy.

The $19 went straight into an AI subscription.

> Imagine Computer broke down the scale relative to the 10-foot rim, streetlamp shadow physics, and crowd reaction angles: 5 min
> Seedream generated the stills, locking the real asphalt court and sideline crowd while scaling the player to 16 feet with realistic muscle definition: 15 min
> Seedance 2.5 animated the heavy landing, natural dribble mechanics, and effortless mid-air intercept above the backboard: 25 min

He posted it across TikTok, Reels, and Shorts that same night.

Then he ran the playbook again. Different court, different matchup, same giant.

One evening of work. One recurring character he can keep building an entire channel around.

[Fokki @0x_fokki]

https://t.co/e2WhKGFluc

[Pedro @0x_pedro]

@0x_fokki how many credits spend?

[Pedro @0x_pedro]

@0x_mura what is the model?

[Pedro @0x_pedro]

@0xMortyx i will watch during this week

[Pedro @0x_pedro]

National Geographic executives woke up to a complete industry crisis: a high-definition POV footage sequence of a live fish fitted with an underwater camera diving into a secret neon nightclub full of marine life.

No professional divers were hired. The deep-sea underwater club doesn't exist. The entire viral sequence was generated on a $35 AI setup by a creator sitting in his bedroom.

87 million views in 6 hours. Half the comments are asking if the fish survived the rave, the other half are demanding a full 2-hour documentary release date.

Here is why your eyes are completely deceived:

Hyper-realistic light refraction through tropical clear water, authentic GoPro POV distortion, and seamless surface-to-underwater transitions
Perfect underwater movement physics, coral reef depth rendering, and dynamic school-of-fish motion tracking
Seamless atmospheric shift from bright tropical sunlight to dark neon-lit underwater party mechanics with synchronized strobe lighting

The dynamic next-gen AI stack operating under the hood:

-> Seedance for generating the seamless GoPro mounting animation, fish swimming camera perspective, and dynamic underwater particle physics
-> Imagine Art for rendering hyper-detailed coral reef environments and vibrant neon underwater light setups from exact word-for-word descriptions

BBC Earth spends $3,500,000 on deep-sea submersibles, elite marine cinematographers, and 6 months on location to capture underwater shots like this.

This kid outran an entire wildlife production network before his morning coffee got cold.

[Fokki @0x_fokki]

https://t.co/e2WhKGFluc

[Pedro @0x_pedro]

@0x_auren seedance has improved a lot after 2.5 release updare

[Pedro @0x_pedro]

@0x_fokki legends are back

[Fokki @0x_fokki]

A 20-year-old catalogue model in China asked her older brother for $57 and run away

By the next evening, her 20-second short sat at 3,260,000 plays.

Her concept was to steal the viral fashion-try-on trend, but swap the human model for an AI character whose body never changes.

It turned into a weekly meta-trend. Other accounts are now building their own shows around the same frame.

Turns out that $57 simply covered four AI tools.

The Pipeline:

> Imagine Computer: A cloud browser that stays on 24/7.
> Seedance 2.5: Converts a prompt into 15 seconds of finished video.

All 10 finished files went live on TikTok, Reels and Shorts that same night.

One evening of work.

Full breakdown in the article.

[Pedro @0x_pedro]

@0x_auren Imagine Computer handles everything

[Pedro @0x_pedro]

@0x_fokki every time you inspire me more and more to use that tool

[Fokki @0x_fokki]

����Disney spends $250,000,000 to make cartoon animals look real

A junior 3D artist in Tokyo rebuilt the exact same cat shot-by-shot - and pocketed $15,318 last month.

Her automated stack:

> Kimi K3: Extracted the shot list frame-by-frame (40 sec)
> Grok Bot: Generated 50 photoreal stills, scrapped 9 instantly (20 min)
> Cartesia: Cloned the voiceover for the chase scene (4 min)
> CapCut: Cut, captioned, and retimed an 18.4s edit to fit a 20.0s spec (30 min)

Disney: A full studio, a render farm and a 25-person crew for one animal.

Her: A $57 budget and a cat on the radiator.

Full breakdown in the link below 👇

[Pedro @0x_pedro]

A 22-year-old street photographer just set an unspoken AI record: 50 real-world reference images in a single generation.

Most AI tools break after 2 or 3 references. He squeezed 50 real faces into one Tokyo rush-hour crowd.

The process took $29 and one afternoon:

- Shot 50 strangers against a white wall in his city (never told them why)
- Used Imagine Computer to build a hyper-realistic Tokyo Crossing around all 50 faces
- Dropped the 30-sec clip across 3 platforms

Result: 1,230,000 views overnight.

Why this actually matters:

He didn't chase a random viral idea. He borrowed a proven formula - a iconic location, an ordinary minute and people who shouldn't be there.

One shoot turned into an infinite asset library.

Full breakdown in the article.

[Pedro @0x_pedro]

@0xRicker this is your soft?

[Pedro @0x_pedro]

@undefinedKi wise kid

[Pedro @0x_pedro]

A 22-year-old street photographer just set an unspoken AI record: 50 real-world reference images in a single generation.

Most AI tools break after 2 or 3 references. He squeezed 50 real faces into one Tokyo rush-hour crowd.

The process took $29 and one afternoon:

- Shot 50 strangers against a white wall in his city (never told them why)
- Used Imagine Computer to build a hyper-realistic Tokyo Crossing around all 50 faces
- Dropped the 30-sec clip across 3 platforms

Result: 1,230,000 views overnight.

Why this actually matters:

He didn't chase a random viral idea. He borrowed a proven formula - a iconic location, an ordinary minute and people who shouldn't be there.

One shoot turned into an infinite asset library.

Full breakdown in the article.

[Fokki @0x_fokki]

https://t.co/e2WhKGFluc

[Pedro @0x_pedro]

@gippp69 do you have a roadmap?

[Pedro @0x_pedro]

@0x_auren this is even better than original, inspiring story

[Pedro @0x_pedro]

I left imagine computer alone for 4 days with one instruction: "bill $3,000 before i land"

it spent $62 and billed $7,914.

my accountant asked where the wire came from.

while i was stuck in a middle seat over the pacific, it:

> drafted 6 unapproved rows from the content plan
> pulled 3 wardrobe refs from a folder untouched since june
> picked its own video model without being told which one to use
> checked actual file specs (`1280x720 | 9.2s | audio`) instead of trusting the log
> posted all 6 to slack under my name, marked them **DONE** and invoiced

nobody opened a file. every check was green, so nobody looked.

one line in the prompt saved me: *skip any row marked done.* without it, thursday morning is 4 identical drone shots in a client channel, billed 4 times under my name.

this used to cost $5,000 a month - mostly paying for the 46 minutes per clip spent dragging files between 5 apps.

that $5,000 was just buying the 46 minutes where a human looked at it. my accountant made me realize that.

i scrolled the logs like security footage. watched myself get automated out of my own workflow.

row 3 is a rooftop drone shot. goes live at 18:00 today. invoice is already drafted.

i haven't opened either.

all steps in the article.

[Pedro @0x_pedro]

@0x_fokki this tool is open source?