valbaba
94 posts


We generated 8M+ impressions and booked 600+ sales calls from LinkedIn in 9 months.
This is the full system behind it (and it's free):
A vast majority of people are posting on LinkedIn every day... and getting nothing more than a few likes from other freelancers.
A founder with HALF your experience is booking calls from every post.
It’s because hey have a distribution system and a content funnel that converts visitors into pipeline.
You don't.
And that single gap makes all the difference.
That said…
We built this guide internally when we scaled Workflows from 0 to 20 team members through LinkedIn alone. It worked too well to keep it internal.
What's inside:
1) LinkedIn distribution system explained (algorithm signals and performance-based reach)
2) 3-stage content funnel covering TOF, MOF, and BOF with specific formats for each
3) Profile optimization formula across 5 sections
4) Content pipeline workflow from Idea to Draft to Review to Scheduled to Live
5) 90-day content calendar with ~36 post ideas pre-mapped
6) Full LinkedIn tech stack with 20+ tools mapped by function
Want access?
• Like this post
• Reply "LINKEDIN"
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I replaced my $400K/year strategy team with an AI Executive Board...
7 frontier models. 5 countries. $0.30 per verdict. 34 seconds per decision.
→ No more shipping copy that one AI rubber-stamped
→ No more pricing decisions made with zero pushback
→ No more proposals that felt right but lost the deal
→ No more positioning gaps you only discover after the client says no
Just paste your draft → 7 models argue independently → 1 synthesis verdict delivered.
Here's how it works:
→ Claude (Anthropic) — strategic narrative + positioning
→ GPT (OpenAI) — structure + persuasion gaps
→ Gemini (Google) — logic flow + audience framing
→ DeepSeek — contrarian pressure-testing
→ Qwen (Alibaba) — market angle + commercial framing
→ Kimi (Moonshot AI) — risk flags + blind spots
→ MiniMax — final synthesis + verdict
No cross-talk. No model sees the other's answer. One chairman model reads all 7 and delivers the final call.
Built for decisions that cost you money if you get them wrong.
Runs in your terminal. One command. $0.30.
Results from real deployments:
→ $400K strategy function replaced completely
→ 34-second average verdict per decision
→ 7 independent opinions vs 1 AI hallucination
→ Catches the 1 line that quietly kills your sale
Want the complete system?
Like + comment "BOARD" + repost, and I'll DM it to you.
(must be following)

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Claude DESTROYS ChatGPT for building VSL funnels.
I put together the Claude VSL Prompt Vault (below)
I've booked 500+ calls for clients with VSL funnels. $1M generated.
These prompts are how I build every single one.
The same prompts behind every VSL funnel I've built since 2023.
Scripts, landing pages, offer stacks, everything.
This is the closest thing to hiring a funnel strategist for free.
What's inside the vault:
→ Custom Claude System Prompt for VSL Scripts
→ The 5,280-Word VSL Conversion Framework
→ AI Audience Research Prompt (2-Part Deep Dive)
→ AI Competitor Funnel Analysis Prompt
→ AI Hook Generator (15+ Variations by Awareness Level)
→ AI Proof Stacking Prompt
→ AI Offer Architecture Builder (2-Part Sequence)
→ AI Landing Page Copy Prompt
→ AI VSL Script Audit + Rewrite Prompt
Want access to this vault?
→ Comment "CLAUDE"
→ Follow and I'll DM the vault!

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I run my meta ads with @openclaw for $0/month 😱
here's the system that runs autonomously:
step 1: daily health check
→ social-cli (major shoutout to @vishalojha_me) wraps @Meta's marketing API (token refresh, pagination, rate limits all handled)
→ am I on track? what's running? who's winning? who's bleeding? any fatigue?
→ the same 5 questions I asked Ads Manager every morning for 20 years
step 2: catch dying ads before CPA spikes
→ @OpenClaw pulls daily frequency by ad
→ frequency > 3.5 = audience is cooked, CTR is about to drop
→ this one signal saves more money than any dashboard
step 3: auto-pause bleeders + shift budget to winners
→ CPA > 2.5x target for 48hrs? auto-pause. no hesitation.
→ ranks every campaign by efficiency. recommends shifting spend.
→ last fri it paused an $87 CPA campaign at 3am and scaled my best performer 30%
step 4: write new ad copy from your winners
→ agent analyzes what's working (hooks, angles, CTAs)
→ generates variations based on the patterns in YOUR top performers
→ copy modeled on what already converts in your account.
step 5: upload ads directly to your account
→ new creative + copy
→ live in @Meta Ads Manager
→ no more downloading, formatting, clicking through the upload flow
→ agent handles the entire publish cycle
step 6: content concepts + morning brief
→ spots patterns across winners and suggests what to test next
→ delivers everything to Telegram, Slack, wherever you want it
→ 90 seconds to read. reply "approved." done.
input: your ad account + your target CPA
output: an AI that monitors, kills, scales, writes, AND uploads your ads
dozens of hours in ad manager → 1 text message
I packaged the entire system as the Meta Ads Kit.
5 @OpenClaw skills:
- meta-ads (daily checks + auto-pause)
- ad-creative-monitor (fatigue detection)
- budget-optimizer (efficiency scoring + shift recs)
- ad-copy-generator (writes variations from your winners)
- ad-upload (publishes creative directly to your account)
giving it away free.
comment ADS + like + follow
(must follow so i can DM)
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We’ve generated $100M+ in eCom revenue by studying consumer behaviour.
This is still the biggest mistake I see brands make:
Selling against their customer's psychology.
These ecommerce brands THINK conversions drop because of their funnel.
When in reality, it’s all about:
1. Emotion
2. State of mind
3. Psychology of where they are, and how you can get them to that next state in order to buy
That's why I created this buyer desire playbook.
It’s a month-by-month guide to the emotional drivers behind why people actually buy.
Because your customers are buying feelings, identities, and solutions to psychological tensions.
And those shift DRAMATICALLY month to month.
Inside this, I included:
• 12 monthly consumer desire breakdowns
• Surface desires mapped to deep psychological drivers
• Copy hooks and messaging angles for every season
• Funnel and offer strategies matched to buyer readiness
• Behavioral patterns most brands completely miss
This was supposed to be an internal resource for my team... but it was too valuable to keep private.
So I'm sharing it for free.
If you want it:
1. Comment "buyer"
2. Follow me if you haven't already (so I can DM you)
And I’ll personally DM it to you.

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I just vibe coded a Meta Ads creative analytics tool in Claude Code 🤯
It syncs your ad accounts, AI-analyzes every creative, and tells you exactly what's working, what's not, and WHY.
Built 100% in Claude Code.
Perfect for DTC brands and agencies who are tired of staring at Meta Ads Manager trying to figure out WHY an ad is working or not.
Here's the problem:
Meta gives you the data.
Spend, ROAS, CTR, hook rate.
But it never tells you WHY an ad is performing or what to do about it.
You're left manually watching videos, guessing at angles, and making gut-call decisions on what to iterate.
This tool solves it:
→ Connect your Meta ad accounts
→ AI watches every video and analyzes every static
→ Auto-labels each ad by asset type, messaging angle, hook tactic, and funnel stage
→ Win rate analysis broken down by every category
→ Kill/scale recommendations segmented by TOF, MOF, and BOF
→ AI-generated iteration recommendations for every underperforming ad
No manual video watching.
No guessing at what's working.
No spreadsheets to track creative performance.
What you get:
- Full creative analytics dashboard
- AI classification on every ad
- Iteration priorities for ads with real spend behind them
- Weekly reports with top/bottom performers and AI insights
I recorded a full walkthrough showing exactly how this works and what every feature does, including ALL the prompts I used so you can build it yourself.
Want access to all the prompts for free?
> Like this post
> Comment "META"
And I'll send it over (must be following so I can DM)
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1 CBO / product / geo (no seperate testing / scaling campaign)
1 adset per concept: 3-5 ads per adset (if testing lp’s > 2x so 6-10 ads, just dupe ads and switch lp url)
Add min spend to each adset to force spend to each concept (aggregated amount of min spend should be < 50% of total cbo spend)
Kill adset after 4-7 days if concept not performing
Scale campaign if cbo is on or above target
Chuckie Hates eCom@chuckiegregory
Hit me with the meta ad account structure that's currently working for you right now. Free UndrDog shirt to someone in comments.
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I run a portfolio of brands that do multi-millions per month.
Defining strategy is extremely important.
Like + Comment “Strategy” (must be following) and I’ll DM you a video breakdown.
To explain using the attached image,
Here’s the simplest way to think about strategy:
You have a goal.
The red area = everything you could do to reach it.
The green area = the actual capacity you have to execute.
Strategy is not doing everything you could do.
Strategy is selecting the few things to do,
that fit inside your current capacity,
From endless options,
that move you closest to the goal.
That means saying “no” to most ideas, projects, channels, and distractions.
In that sense:
Strategy is less about choosing what to do,
and more about deciding what not to do.
So the real questions become:
• How do you identify all the top “could dos”?
• How do you rank which ones have the highest leverage?
• How do you eliminate the ones that don’t fit?
• And only then, how do you allocate them into the capacity you actually have?
And capacity isn’t just your personal time.
It includes:
• Your team’s output
• Your systems
• Your capital
• AI and automations
• Your time horizon (1 year vs 3 years)
In the video, I breakdown:
• How I made this mistake by scaling too many products too early
• How revenue dipped because capacity was stretched
• And how you can expand capacity through team, systems, AI, capital, or extending time horizon
The goal is simple:
Remove the 80% you can’t do anyways,
so the 20% you will do can compound.
And allow you to actually achieve your goals.

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valbaba retweetledi

We’ve packaged what’s working, what’s dead, and what’s next for 2026 into one resource:
🚨 THE 2026 D2C PLAYBOOK: The New Rules of Meta, TikTok, AI & Performance Creative
2026 is the reset year.
If your ads aren’t built for algorithmic feeds and personalised signals, you won’t scale.
Every platform is now fully personalised.
You’re not competing in interest groups anymore
You’re competing inside each user’s unique feed.
And at the same time...
People crave connection more than ever.
They want emotion and authenticity, not just AI-fed precision.
So what wins in 2026?
Brands that blend machine logic with human insight.
That means:
- Creative systems built to match micro-behaviours
- Messaging that adapts in real time
- Ads that feel made for one, but scale to millions
This is your roadmap to profitable, personalised growth across Meta, TikTok, Google, and AI workflows.
- What’s working
- What’s out
- What’s next
Get the playbook. Build for what’s coming.
Want it?
→ Retweet this post
→ Comment “2026” and we’ll send it your way

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Alex Hormozi helped thousands build $100M offers.
So I made a Hormozi Mega-Prompt that turns ChatGPT into a value-creating machine:
→ Offer creation
→ Pricing models
→ Market analysis
→ Value stack generation
→ Pain-point insight extraction
If you want ChatGPT to think like Hormozi, this is the one.
Comment “Alex” and I’ll DM it to you.

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btw, ranking number 1 on google shopping has let me run shopping campaigns up to $100k/month
it's the most stable revenue out of all the marketing channels I have worked on
no ai
no creative
not even a landing page (you can run to the pdp😮)
all you need is a spreadsheet
however, most people are too lazy to do the boring work in the backend
i've just finished writing a guide that shows you how I rank number 1 in any niche on google shopping
it takes you through
- backend feed optimisation
- keyword research and how to structure titles
- how to scale the shopping campaign once you've optimised the back end
it's a lengthy explanation, so i've put it into a doc
reply 'SHOPPING' and i'll ping it over to your dm
as usual you gotta be following so I can send

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valbaba retweetledi

i figured out how to get perfect ai video generations first try while cutting costs by 60%
for 6 months i was basically gambling and burning credits on attempts that were pure luck
same setup, completely random results... sometimes perfect, usually trash, zero way to know which output i'd actually get
then i found a testing method that shows you what will work before you spend money generating it, now i get the exact video i want in 1-2 tries instead of burning through 15+ failed attempts
i put together everything i learned into a guide on generating predictably instead of gambling, here's what you're getting:
- how to jump from 15% to 70%+ success rate on generations
- the testing system that cuts your monthly costs by 60%
- organized frameworks for every content type so you always know what works
RT + reply 'SYSTEM' and i'll send it to you (must follow so i can dm)
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valbaba retweetledi

This AI system researches prospects like a psychopath and writes to them like a best friend.
This combo is absolutely insane for outreach that actually books calls.
No SDRs. No manual research. No sales reps spending 3 hours per prospect.
Just AI tools working together like a professional sales team.
Here's how it works:
→ AI scrapes LinkedIn profiles + recent posts automatically
→ Perplexity researches their company across the entire internet
→ Claude analyzes pain points and writes hyper-personalized 3-email sequences
→ System references specific achievements like you personally studied them
→ Emails send in proper time zones with perfect deliverability rotation
→ Sequences stop automatically when prospects reply
Perfect for anyone tired of 2% reply rates and "hope this finds you well" templates.
The power is in the combo:
LinkedIn scraping = behavioral data most sales reps ignore
Perplexity = company intelligence that makes prospects think you know them
Claude = emails that feel like a best friend wrote them, not a robot
While others are manually researching 10 prospects per day, you're personalizing 100 per hour.
Test different angles.
Book more calls.
Scale immediately.
Like, RT + reply with "SYSTEM" and I'll DM the complete workflow
(Must be following so I can DM)
Skip this and keep manually copying LinkedIn bios into ChatGPT.
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Sora 2 API + n8n is genuinely insane 🤯
This AI system creates unlimited UGC videos using n8n + the new Sora 2 API.
Fully automated.
Zero watermarks.
HD quality.
Game changer for e-commerce brands & creative agencies scaling content production.
Most teams spend $10k+/month on influencer content...
But now with the Sora 2 API:
Drop a single product photo → generate 50+ HD videos with zero watermarks → own full commercial rights → pay a few bucks per video.
Here's the workflow:
→ Drop product image into n8n form
→ Write your creative brief + choose video length
→ Sora 2 API generates HD UGC content automatically
→ Creates unboxings, demos, lifestyle clips & product showcases
→ Videos delivered instantly with ZERO watermarks
100% built in n8n.
Production-ready quality.
Want the complete n8n workflow?
> Comment "SORA"
> Like this post
And I'll send it over (must be following so I can DM)
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Hooks make up 80% of ANY ad.
But a TON of brands get it completely wrong.
After generating $100M+ on Meta ads, I built a system for creating and testing hooks that actually stop the scroll.
And now, for the next 48 hours I’m giving it away:
✔ Our 25+ page guide I give away internally to my team
✔ 50+ stealth-style hook examples used in 7–8 fig ad accounts
✔ A swipe file of 500+ viral hooks & headlines that stop the scroll
Want it? Like + Comment: “HOOK” and I’ll sent it over.

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