gottatellyou

Trader by day. Digital nerd by night.

[gottatellyou @gottatellyou]

@MichLieben ads

[gottatellyou @gottatellyou]

@AlfieJCarter Agents

[gottatellyou @gottatellyou]

@tye1337 SEND

[gottatellyou @gottatellyou]

@tye1337 guide

[gottatellyou @gottatellyou]

@nicktheriot_ HOOK

[affprinter @affprinter]

$7,399 in 4 Days posting viral tiktok slideshows promoting affiliate offers

- How to target USA
- How to bypass tiktok's duplicate detection
- How to PRINT with slideshows..

Retweet & Comment "Slideshow" (must be following) and I'll send you the link to the full guide.

[gottatellyou @gottatellyou]

@codewithimanshu Claude

[Himanshu Kumar @codewithimanshu]

This Chinese quant built a simulation of how SPX price reacts to any global event.

Made over $100K with full blockchain proof.

He knows exactly where price will go.

I found his wallet. Reverse-engineered the entire system.

Then used Claude new Fable 5 rebuild it in under an 1hr.

Here is what he actually did.

Loaded 40+ years of SPX trading history into MiroFish simulator.

18K stars on GitHub. Open source. Agentic framework.

AI analyzed every single moment in that trading history.

Now he has a fully functional SPX price prediction system.

Dozens of successful SPX trades. Hundreds of tests across other stock markets.

Here is exactly what the stack looks like:

→ Market data APIs for SPX price (Alpha Vantage or Quandl)
→ Data pipeline built in Python
→ Feature engineering for output signals like RSI and MACD
→ Seed dataset for MiroFish (convert data into structured context)
→ Multi-agent simulation (macro strategist, earnings analyst, sentiment analyst agents)
→ Probability forecast running different scenarios
→ Trading decision model (SPX futures ES, SPY ETF)

The agents do not predict.

They simulate.

They run every possible market reaction to news, earnings, Fed moves, geopolitical events.

Then they converge on the highest probability outcome.

Trade only fires when all agents agree.

I rebuilt this exact pipeline with Claude Fable 5 (Mythos)

Fed it the framework. Connected the data sources. Let it simulate.

The agent monitors SPX patterns 24/7.

Runs scenarios in real-time.

Alerts me when convergence hits.

You can feed the whole thing to Claude and build your first simulation model together.

Even a small one.

You only need Claude + device + 1 hour to deploy.

Giving this free for 24 hours.

To get it:

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

Save this post. Build the simulation system this week.
Start with paper trading. Scale on evidence.

[gottatellyou @gottatellyou]

@edgeful IB

[gottatellyou @gottatellyou]

@AlfieJCarter Agents

[gottatellyou @gottatellyou]

@aryanXmahajan OS

[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)

[gottatellyou @gottatellyou]

@eCom_Amin MCP

[Amin @eCom_Amin]

i've been using Claude Opus 4.8 + Google Ads MCP to find the winning ad angles hiding inside our clients' accounts...

and results have been absolutely CRACKED

so i've decided to document the ENTIRE system...

covering the exact setup + the 6 prompts we run to surface the headlines and search intent already converting in your account, plus the competitor angles you've been ignoring, all of it invisible in the dashboard right now

here's what's included inside the guide:

> top performer hook extraction

(pulls headline-level RSA data and groups by angle. found a supplement client's symptom-led headlines converting 3.2x the product-claim ones (buried in RSAs, nobody saw them)

> search term intent gap

(finds the gap between what people search and what your ads say. an Australian health brand had "magnesium for leg cramps at night" hitting sleep ads. rewrote to match intent, CPA dropped 34%)

> competitor angle study

(reverse-engineers competitor ads through the transparency center. surfaced a "no bloating" angle 3 competitors had validated and the client ignored. became the top headline in the account in 2 weeks)

> landing page message match audit

(scores ad-to-page alignment and fixes quality score. a home goods client's "office chair for back pain" ads pointed at a generic page. built a dedicated page, quality score went 4 to 7, CPC dropped 28%)

> negative keyword intelligence sweep

(finds wasted spend and converting terms you're not bidding on. on a $94k/month brand, found $4.2k/month in waste plus 12 converting search terms missing from the keyword list. ROAS up 0.4x in one week)

> seasonal & trend angle detector

(looks forward instead of back. seasonal spikes, emerging demand, expansion regions, ranked by revenue impact)

all backed by everything i learned generating $13M+ in the past 6 months at my Google Ads agency

and for 24h, it can be ALL yours for free

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

(must be following + RT for priority access)

[gottatellyou @gottatellyou]

@fytnas YOUTUBE

[gottatellyou @gottatellyou]

@mikefutia ADS

[gottatellyou @gottatellyou]

@X_FINALBOSS x

[gottatellyou @gottatellyou]

@edgeful @MrZincx IB50

[gottatellyou @gottatellyou]

@nicktheriot_ DESIRE

[gottatellyou @gottatellyou]

@recap_david NEWSLETTER