Albert V

[Albert V @adubasu]

@0xROAS PAPER

[Albert V @adubasu]

@fromzerotomill Fanpro

[Albert V @adubasu]

@everestchris6 AD

[Kid Pak @kidpakerot]

I built an iPhone farm automation that runs your TikTok & Instagram accounts on autopilot,

And it's free for the next 7 days

It incubates freshly made accounts to warmup state,

While allowing you to draft or direct post from your own iPhones,

And you only need 1 Mac and 1 iPhone to start

If you're interested, comment "Warmr" and I'll send you a free invite

[Albert V @adubasu]

@kidpakerot Warmr

[Albert V @adubasu]

@fromzerotomill adaptive

[MONTE @fromzerotomill]

this AI Agent scans tiktok for the most viral videos in any niche and tells you exactly how to replicate them before you make a single video...

here's what it does:

> type in any keyword and it scans tiktok for videos that absolutely blew up in that niche

> analyses exactly what made them go viral like hook structure, length, format, engagement triggers

> generates a full MD file you can drop straight into Claude or ChatGPT to make viral tiktok videos in the same style

> paste your own video in and it scans tiktok for similar videos that went viral

> gives your video a viral score so you know exactly how much chance you have of going viral

> rewrites your video for maximum viral potential based on what's actually working right now

most people post and hope they go viral. this tells you before you post whether it's going to blow up.

comment "adaptive" + RT and i'll send you the full agent so you can stop guessing and start making tiktok videos that actually blow up

(must be following so i can DM)

[Albert V @adubasu]

@kkashi_yt @elonmusk That’s great and all but why in the middle of London why not do it back home? Would I be allowed to my religious stuff out in the middle of the city?

[Albert V @adubasu]

@everestchris6 AGENT

[Chris @everestchris6]

this Hermes agent finds business owners asking for help on Facebook and builds each one exactly what they asked for, on autopilot...

Facebook is a goldmine, one google search string surfaces every owner asking for it.

here's how agencies & freelancers can land clients:

- watches facebook for owners asking for help, any phrasing
- one google search string pulls every match, city by city
- reads what that owner actually needs, then sources it
- grabs their real photos + brand straight off their page
- builds exactly that: a video, creatives, or a website
- sends the finished build back before a competitor replies

every step from facebook post to finished build is automated.

reply "AGENT" + RT and i'll send you the full breakdown so you can build this too (must be following so i can DM)

[Albert V @adubasu]

@shivsakhuja Goose

[Albert V @adubasu]

@printinesperad SCALE

[Albert V @adubasu]

@vitaliidodonov MRR

[Albert V @adubasu]

@ecommmoose ADS

[Elon Moose @ecommmoose]

We do $500K+/day in sales

How? A creative machine.

20+ strategists

60+ editors

1 brand.

But quantity means nothing without quality

So I filmed the full breakdown:

How to nail creative quality, then scale the quantity.

Like + RT + Comment "ADS" (must follow) & I'll DM it

[Albert V @adubasu]

@ecomchigga PRINTER

[ecomchigga @ecomchigga]

every tweet on this account was written by claude.

every single one. if you scrolled back through this entire feed looking for the one i wrote myself, you wouldn't find it. and i'd bet my gumroad revenue you didn't know that before this sentence.

that's not a flex. that's the system.

here's what happens when most people try this. they open chatgpt, type "write me a viral tweet about digital products," and get back something that sounds like a ted talk with a hoodie on. "here are 5 powerful lessons i've learned on my journey." they cringe. they close the tab. they decide AI isn't ready for content yet.

it's been ready. your input hasn't.

the reason AI tweets sound like AI isn't the model. it's that you're typing a wish and expecting a voice. "write it casually" isn't a voice. "add some edge" isn't a voice. a voice is 600 words of rules about how this account talks, what it never says, which rhythms it uses, what it sounds like at 2am when the filter's off, and which patterns get a sentence killed before it ever leaves the draft.

that's layer one. here's the rest:

layer two: a library of 100+ real viral tweets from this niche loaded as structural references. not to copy. to give claude the same pattern intuition you'd build after studying what hits for 6 months straight.

layer three: algorithm rules baked into every output. standalone links have been dead since march 2026. replies are weighted at 13.5x. reposts at 20x. the first sentence has to clear a banger classifier before a human ever sees the tweet. the system knows this before it writes a word. you don't type it fresh every time. it's architecture.

layer four: a humanizer pass that strips the specific tells that make a reader's brain flag something as AI without even knowing why. no em dashes. no round numbers. no rule of three. no identical sentence lengths. one weird anchoring detail that doesn't serve the sale. your audience can't name these rules but their brain fires on every single one. the system catches them before you see the draft.

you paste one prompt. 90 seconds later you get a tweet that sounds like a person who's been in this niche for 3 years and knows the algorithm cold. you review it, schedule it, move on with your life.

this account. 22 million impressions. 6 months. faceless. no video. no face. no personal brand. 3 tweets a day running on this exact setup.

i packaged the whole thing. every prompt. every primer. the voice builder. the pattern library. the humanizer kill list. the algorithm rules. all of it.

comment PRINTER, repost this, and make sure you're following. i'll send it to you.

[Albert V @adubasu]

@ant0ni0_r0mer0 ADS

[Albert V @adubasu]

@zackpaid FORMATS

[zack @zackpaid]

after generating $10M+ for clients' service based businesses with meta ads funnels...

i've realized that the #1 thing that kills scaling attempts isn't:

> the targeting
> the offer
> the media buyer

it's not testing ENOUGH ad formats

so i built an entire AI production engine that maps every Meta ad format to a specific prompt architecture (with opus 4.8), a specific visual model (inside Higgsfield MCP), and a specific funnel stage (inside the meta ads API)

here's everything that this system includes:

> the Higgsfield MCP setup
(the exact JSON config block, the file paths for mac and windows, and the one-line command to confirm it's actually connected before you generate a thing)

> the format assignment protocol
(one prompt that tags every brief across 4 points: awareness stage, placement, format family, angle, then routes it to the right format before a word of copy gets written)

> 10 format prompts, one per ad type
(founder selfie, talking head, B-roll w/ voiceover, split-screen, green screen, UGC, data viz, story-native, carousel, AI creative, each with its own word count, structure, and pacing rules baked in)

> the paired visual prompts for every format
(what to feed chatgpt images 2.0 for statics, what to feed seedance 2.0 for motion, exact dimensions per placement, all passed in through the MCP so you never leave Claude)

> which model runs which layer
(opus 4.8 for the script and reasoning, chatgpt images 2.0 for statics, seedance 2.0 for anything that moves, and what breaks when you mix them up)

> the 3-format testing matrix
(how we test every new angle across 3 formats and the exact CTR threshold at 200-300 impressions that decides what scales and what gets cut)

like + comment "FORMATS" and i'll send it over

(must be following + RT for priority access)