Engle Brown

Using laws of attraction to find & partner w/leaders

[Engle Brown @Rocket2Freedom]

@yanndine @AlfieJCarter SKILLS

[Engle Brown @Rocket2Freedom]

@expertwith_AI Money

[Jami @expertwith_AI]

This trader deployed Claude Fable 5 right before the government killed it and flipped $11,000 in losses into $300,000 profit in 5 days.

Fable 5 was not forecasting where price would move.

It was calculating the complete probability distribution of every possible market outcome and executing before the market repriced.

One position hit 205x.

The model is banned now.

The algorithm it generated is still running on Polymarket 24/7.

Here is what happened:

Fable 5 ran 1000s of simulations across every market scenario simultaneously.

It mapped probability density across the entire outcome surface, not just the most likely path.

Found edges where Polymarket pricing lagged true probability by enough margin to justify entry.

Executed in milliseconds before the gap closed.

Most trades captured small spreads. One trade caught a 205x asymmetric payout because the market completely mispriced tail risk.

$11,000 hole erased in under a week.

The edge was not prediction.

It was probability arbitrage at machine speed.

Fable 5 is gone. The framework it built is not.

You only need Claude + device + 1 hour per day.

Giving this free for 24 hours.

To get it:

1. Comment the word "Money"
2. Like and retweet this
3. Follow me @expertwith_AI so I can DM you

Save this post. Deploy the probability system this week. Start with $500. Scale on evidence.

[Engle Brown @Rocket2Freedom]

@brillaas VSL

[Engle Brown @Rocket2Freedom]

@sulfurscales VIRAL

[Sulfur @sulfurscales]

this AI Agent scans twitter for the most viral posts in any niche and tells you exactly how to replicate them before you write a single word...

here's what it does:

-> type in any keyword and it scans X for posts 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 write viral posts in the same style
-> paste your own post in and it scans X for similar content that went viral
-> gives your post a viral score so you know exactly how much chance you have of going viral
-> rewrites your post 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 "VIRAL" + RT and i'll send you the full agent so you can stop guessing and start posting content that actually blows up (must be following so i can DM)

[Engle Brown @Rocket2Freedom]

@reachvaldo $

[Engle Brown @Rocket2Freedom]

@johnvirality 100

[John @johnvirality]

claude fable 5 just made it possible to post 100 AI UGC videos per day across 4 platforms in JUST 30 minutes of production

everything else runs 100% autonomously

clippers might be cooked 😭

this mythos model watches raw video footage and finds viral moments transcripts would miss

it scrolls tiktok while you sleep and builds trend reports, generating 100 production packages and renders them through higgsfield MCP without you touching another tab.

so i documented the ENTIRE machine with every prompt, every setup instruction, and every workflow step

here's what's inside:

→ the overnight market research system that runs while you sleep

(cowork scrolls 5 platforms, analyzes 60-80 pieces of content each, returns a trend intelligence report with 10 specific content ideas by the time you wake up)

→ raw-pixel clip identification that finds moments human clippers miss

(facial expression shifts, product reveals, body language peaks, visual incongruities. all timestamped and ranked by predicted virality.)

→ batch script and asset generation: 20 complete production packages per prompt, run 5x for 100 total

(6-shot scripts, character prompts, product frame prompts, voice direction, platform captions. 15-25 minutes total.)

→ the higgsfield MCP pipeline that renders all 100 videos automatically

(fable 5 calls seedance 2.0 directly. character reference locked. lip sync aligned. zero human involvement.)

→ the virality predictor that filters your top 20 candidates before posting

(hook score, hold rate, brain region activation. bottom 5 get diagnosed and revised automatically.)

→ the CPM math: 400 platform-posts/day × 3,000 avg views = 36M views/mo = $180k/mo at $5 CPM

→ all 6 copy-paste prompts that run the entire machine

all from my personal experience in looking behind the scenes on how Rizz App + Looksmax AI + Memix scaled past 7-figures with this method

like + comment "100" and i'll send you the ENTIRE system

(must be following + RT for priority access)

will stop sending these out in 24h...

[Aryan Mahajan @aryanXmahajan]

Claude + Reddit intelligence + LinkedIn data = Content OS that replaced a $14,500/month team.

(48K followers. 500+ booked calls. $387K in attributed revenue)

This 6-skill system eliminates writers, strategists, researchers, and schedulers using brand memory + real audience intelligence + calibrated AI writers...

→ No more $14,500/month payroll for a 4-person content team
→ No more 20+ hours weekly building content calendars from scratch
→ No more guessing which hooks actually stop the scroll
→ No more AI slop that sounds nothing like you
→ No more starting every post from a blank page

Just 1 topic in → a finished month of content out.

Here's how it works:

→ Brand Memory (your voice, proof, and exact buyer in one file. every skill runs off it. nothing generic ships.)
→ Reddit Intelligence (mines your ICP's subreddits for the exact phrases they use. posts start from real words, not blank pages.)
→ LinkedIn Viral Signal (hooks already stopping the scroll in your niche, last 30 days, ranked by real engagement.)
→ Four Calibrated Writers (thought leadership, lead magnet, story, value. one writer per stage of the buyer journey.)
→ Voice Firewall (7-dimension QA that scores and rewrites every draft before it ships under your name.)
→ Finished Board (every post handed over with its visual and first comment. ready to approve.)

Built on real content infrastructure.
Zero payroll. Consistent output. Enterprise-grade quality.

Results from the system:
- $14,500/month content team eliminated
- 48K LinkedIn followers
- 500+ calls booked from content
- $387K in attributed revenue

Want the complete 6-skill build?

Like + comment "OS" + repost, and I'll DM it to you.
(must be following)

[Engle Brown @Rocket2Freedom]

@aryanXmahajan OS

[Engle Brown @Rocket2Freedom]

@dimitarangg CLAUDE

[Dimitar Angelov @dimitarangg]

opus 4.8 dropped 4 days ago and we've already rebuilt our entire lead gen pipeline on top of it

not for some bs like "writing better cold outreach messages"

we built a FULL end-to-end email + linkedin outbound system that scrapes leads from 5 untapped databases, writes scripts from real market psychology, sequences across 3 channels, handles replies automatically, and books 60+ calls/mo with 1-2 hours of daily actions

and i just documented the ENTIRE thing inside 1 notion guide...

here's EVERYTHING that's inside:

→ the dynamic workflow prompt that scrapes google maps, crunchbase, X engagement, reddit, and upwork leads IN PARALLEL in one session (scored, verified, enriched, and ready to send in 45-90 minutes)

→ the max-effort market research prompt that found "predictable pipeline" converts 4x better than "more leads" for one client's ICP (increased reply rates from 2.8% to 4.6% on the same list)

→ the script generator that writes 9 emails + 6 inmail DMs from actual ICP language, not templates (3 angles, 3 channels, spintax built in, spam triggers auto-flagged)

→ the reply handling system that replaced a $5k/mo setter (classifies replies with 95%+ accuracy, drafts responses in 2 minutes, human approves in 15 seconds via slack)

→ the CRM that builds itself from call data (deal stages, follow-up tasks, confirmation sequences, contract drafting from fireflies transcripts)

all backed by 100s of qualified meetings booked and $4.8M+ in pipeline revenue generated.

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

(must be following + repost for priority access)

[Engle Brown @Rocket2Freedom]

@chhddavid Guide

[David Ch @chhddavid]

this Claude bot finds local businesses with ugly websites or none at all, rebuilds and their mobile apps, then emails the owner a postcard...on autopilot.

here's how agencies can use this system and land clients:

- scrapes every local business in a city in real time
- filters by review count + rating + last update date + site quality
- pulls the strongest photos and copy from their Google Maps listing
- samples the brand palette from the business's own visual identity
- AI rebuilds it into a brand-matched website + mobile app
- writes a postcard quoting a real reviewer + what they loved
- mails it to the owner by first name with a preview QR

every step from discovery to brand-matching to outreach is automated.

reply "GUIDE" + RT and I'll send you a free guide so you can build this too

[Engle Brown @Rocket2Freedom]

@nicktheriot_ DESIRE

[Engle Brown @Rocket2Freedom]

@al_tools43377 @ashiqur_ai Claude

[Engle Brown @Rocket2Freedom]

@dan__rosenthal 8m

[Engle Brown @Rocket2Freedom]

@everestchris6 LOCAL

[Chris @everestchris6]

this OpenClaw bot finds local businesses with no branded gear, AI mocks up their logo on the right product, and runs the entire sale on autopilot.

here's how anyone can use this system to land local business clients:

- scrapes every indie business in a city from Google Maps in real time
- filters by review count, rating, and industry vertical
- maps each vertical to the right product
- pulls the logo + samples the palette from their actual visual identity
- AI-renders a photoreal mockup of the logo on the product
- writes a postcard with the owner's first name + a personalized buy link
- when they scan + pay, a print-on-demand API auto-prints + ships direct to the business

every step from discovery to fulfillment is automated.

reply "LOCAL" + RT and I'll send you a free guide so you can build this too