Jim Doering

[Jim Doering @JimDoering]

@marryevan999 @hasan28d Google

[Marry Evan @marryevan999]

Google laid him off.

So he pointed Google’s own AI at Bitcoin trading…

…and pulled over $400,000 in profit.

Now I’m giving away the complete setup for free.

It uses TimesFM — Google’s foundation model for time. Think GPT, but instead of predicting the next word, it predicts the next number.

He spent four years helping build models like this at Google. Then a company reorganization eliminated the team, and he was out.

Here’s the wild part:

The model was never trained on Bitcoin. Not a single candle.

Google pretrained TimesFM on 100 billion time points — search trends, Wikipedia traffic, demand curves, and other time-series data.

After that, the model was frozen.

No retraining.

Just prompting it like ChatGPT.

Every five minutes, the bot feeds it the latest BTC price data.

TimesFM returns a probability distribution for the next candle, from the 10th to the 90th percentile.

From that, it calculates one value:

P(next candle closes higher).

The bot compares that probability to the market’s implied odds.

Edge = Model Probability − Market Probability

Then strict filters take over:

• Ignore weak signals below a 5¢ edge
• Skip wide spreads
• Keep quantile predictions consistent
• Use Fractional Kelly for position sizing
• Enforce a hard daily loss limit

No opinions.

No emotions.

No guessing.

Just a frozen Google AI model exploiting small pricing inefficiencies every five minutes.

I’m giving away the full breakdown of how it works.

Like, repost, and comment “GOOGLE” and I’ll DM it to you.

[Jim Doering @JimDoering]

@EnzoSanchezIA Gemini

[Enzo Sanchez | IA @EnzoSanchezIA]

Gemini ya es uno de los modelos de IA más potentes del mercado.

Sin embargo, mucha gente sigue utilizándolo igual que ChatGPT.

Por eso preparé una Guía Completa de Gemini, donde explico cómo sacarle el máximo partido.

✅ Cómo funciona Gemini y en qué se diferencia de otros modelos.

✅ Frameworks de prompts diseñados específicamente para Gemini.

✅ Más de 2.600 prompts listos para usar.

Comenta “Gemini” y te enviaré la guía gratis por DM.

Un follow y un RT también ayudan muchísimo a que más personas descubran este recurso. 🚀

[Jim Doering @JimDoering]

@romanbuildsaas Connector

[Jim Doering @JimDoering]

@georgesttock UGC

[Jim Doering @JimDoering]

@gregmadder Deworm

[Jim Doering @JimDoering]

@igus_ai Claude

[gus @igus_ai]

Voy a dejar mi trabajo para dedicarme al 100% a Claude.

Le pedí que hiciera esto:

Analizar mercados mal valorados en Polymarket para encontrar oportunidades de arbitraje y detectar las wallets que las están aprovechando para copiarlas.

Convertí $2K en $11K de la noche a la mañana.

Monitorizó +1.000 wallets.

Me di cuenta de algo muy rápido.

Hay bots de arbitraje contra los que no puedo competir sin saber programar.

Pero sí puedo encontrarlos. Y copiarlos.

Claude me construyó un terminal de monitorización conectado a un bot de copytrading en Telegram.

No es un script. Ni siquiera un bot.

Es un agente de IA que mejora cada vez que encuentra una nueva wallet.

Analiza el comportamiento de cada wallet. Cómo opera. Sus patrones de arbitraje. El tamaño de sus posiciones. El momento exacto en el que entra.

• 70% de tasa de acierto.
• 7 wallets copiándose ahora mismo de entre más de 500 monitorizadas.

El bot nunca se detiene. Nunca apuesta. Solo sigue las matemáticas y busca beneficio.

Solo necesitas:
• Claude
• Un dispositivo
• 1 hora al día

Lo voy a compartir gratis durante las próximas 24 horas.

Para conseguirlo:

1. Comenta “claude”
2. Dale like y haz RT
3. Sígueme en @igus_ai para que pueda enviártelo por DM

[Jim Doering @JimDoering]

@georgesttock Veo

[Jim Doering @JimDoering]

@mikefutia Chat

[Mike Futia @mikefutia]

Claude Code + ChatGPT Images 2.0 = 40 production-ready static ads from one brand URL 🤯

Give Claude a brand name and a URL. It builds the brand's DNA from scratch and ships 40 finished statics in your exact colors, fonts, and copy.

All inside Claude Code.

Perfect for DTC brands and agencies that need launch-volume creative every week without briefing a designer or living in Canva.

If you're still making statics one at a time,

finding a winning concept in the Ad Library,

recreating it by hand in Canva,

pasting product details into image prompts,

fixing aspect ratios, downloading, renaming, organizing...

This system eliminates the entire loop:

→ Give Claude a brand name and URL
→ It researches the brand's fonts, colors, packaging, and photography style
→ Builds a Brand DNA document from scratch
→ Fills 40 proven ad templates (headline, us vs them, testimonial, UGC, review cards, stat callouts) with brand-specific details
→ Fires every prompt to ChatGPT Images 2.0 with your product photos as reference
→ Downloads the finished ads into organized folders with an HTML gallery

No manual prompt filling.
No Canva templates.
No copy-pasting between tools.

What you get:

→ 40 ad formats filled with your exact brand colors, fonts, and copy
→ Text that renders correctly — dense copy, logos, and callouts come out clean
→ Your real packaging in every ad (product photos passed as reference)
→ A reusable pipeline — new brand, new folder, same system

Built 100% in Claude Code with ChatGPT Images 2.0.

I put together a DIY playbook showing the exact architecture so you can build this yourself.

Want it for free?

> Like this post
> Comment "CHAT"

And I'll send it over (must be following so I can DM)

[Jim Doering @JimDoering]

@jordan_ross_8F 4m

[Jim Doering @JimDoering]

@shivsakhuja Goose

[Jim Doering @JimDoering]

@mikefutia Leads

[Jim Doering @JimDoering]

@aryanXmahajan Arsenal

[Jim Doering @JimDoering]

@ant0ni0_r0mer0 Claude

[Antonio Romero @ant0ni0_r0mer0]

BREAKING: Claude Code can now make your ads like a $10K/mo agency.

One skill. One product URL. Five finished Meta ads in under 5 minutes.

I tested it to prove it couldn't be that good.

It was.

Distinct angles. Different funnel stages. Each one looked like a separate creative team built it.

I have hired those teams. But this was sharper.

Here is what the skill actually does once you feed it a URL:

- Pulls live competitor ads and finds the angles nobody is running
- Reverse-engineers the hooks already winning in your category
- Builds the full brief: ICP, pains, customer language, the psychology behind the buy
- Writes the concepts, the copy, and the visual direction as one package
- Ships a set built to test against each other, not to sit pretty in a deck

No dashboards. No logins. No designer queue. It runs in the terminal.

And here is the uncomfortable part for the industry:

You were never paying $4K for ideas.

You were paying for briefs, decks, revision rounds, and the Slack thread that goes quiet for three days.

I dropped this into our performance engine and the first account went from one new angle a week to five a day.

More angles. More signal. We found the winning ROAS in days, not months.

If you want the exact build:

1. Connect with me
2. Comment "CLAUDE"

I'll send it to your DMs.

[Jim Doering @JimDoering]

@spwfeijen Live

[Stijn Feijen @spwfeijen]

Why I use Claude 4.8 for my intire AI UGC workflow.

Fully realistic UGC ads — cinematic lighting, natural human motion, clean pacing — powered by AI agents.

How the Claude + MakeUGC workflow works:

- Mass Variation
- Virtual Influencers
- Autopost & Iterate
- Product Placement
- Instant Storyboards

Stop waiting on creator schedules while your ad performance drops.

Comment & RT “LIVE” and I’ll DM you the full workflow.
(Must be following)