Javi Consuegra

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Javi Consuegra

Javi Consuegra

@jconsu

Me obsesiona conseguir más con menos. Por eso uso la tecnología para construir sistemas autónomos de crecimiento...sea lo que sea que eso signifique :)

Katılım Aralık 2008
2.5K Takip Edilen47.4K Takipçiler
Javi Consuegra
Javi Consuegra@jconsu·
No entiendo como este tío no sale diariamente en todos los periódicos...es de Traca...
Jaime Gómez-Obregón@JaimeObregon

Hoy aprendí que hay un Acuerdo Marco de 500 000 € para la compra de ratas para universidades y centros de investigación. Yo no sé qué comen las ratas, pero hay 400 000 € en comida para ratas. 😃 Veo que el principal proveedor de ratas es un laboratorio francés que ha facturado 2,4 millones en ratas. Por alguna razón, las ratas francesas deben ser mejores o más económicas que las ratas nacionales. 😂 ⚠️ Me he dado de alta en Glovo Prime: ¡No pienso salir a la calle hasta parir la mejor herramienta de la galaxia para explorar contratos públicos! 😃 JAIME ON FIRE 🔥🔥🔥

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Atishay
Atishay@axtalks·
We just sent 2.6 MILLION cold emails in just 14 days. That’s more emails in 2 weeks than many people send in 1 year. When you send at this scale, you cannot get away with missing a day. One screw-up and replies drop → Meetings disappear → Monthly target gets away from you. How did we pull this off? 1. Massive TAM broken down into 110+ segments 2. 10+ unique email angles and scripts every single day 3. 1000s of inboxes rotated across campaigns 4. Smartlead + a custom monitoring and alerting layer on top Two things stand out: PCPL is 441. (pretty solid considering most people watch positive replies hit a wall at a FRACTION of this volume) Now, a question you might be asking… Why don’t other agencies send this kind of volume? A few reasons: 1) They don't have clients whose offers can absorb this kind of sending 2) They don't have the infra to actually run it 3) They don't have a team that LIVES in the deliverability metrics We do. And that’s why we’re one of the best in the space, point blank. PS To be clear, not EVERYONE needs to send at this volume. For some industries 100/day is enough. For others, 1K, 10K, or 100K+ per day. I put together a quick breakdown of which tier fits which kind of offer. Comment "VOLUME" if you want it. *must be following* PSS In June, we’re going to be sending 10,000,000+ cold emails for just 1 of our clients. Stay tuned + follow along for updates on that…
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Brandon Storey | Copywriting Coach
Brandon Storey | Copywriting Coach@storeycopy·
In 2026, if you don't use AI to write copy, you'll get left behind. But, if it sounds like AI, it won't convert. So I built the Anti-AI Copy Checklist: • 24 patterns that scream AI • 4 prompts to write copy without sounding like AI Comment "AI" and I'll DM it to you FREE.
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Jordan Ross
Jordan Ross@jordan_ross_8F·
My AI agents (now) improve themselves while I sleep. Every day they finish work, reflect on what broke, and rewrite their own playbooks to run sharper tomorrow. I don't touch it. It did not start that way. Week 1 with Hermes was a mess... Memory failed. Automations misfired. I was trying to move fast and building on shit foundation. My problem was proper system design. Then a 10x Silicon Valley exec walked me through the part I'd skipped — Agents.md files, the architecture, the markdown structure underneath it all. I slowed down and built it properly. That week, I stopped managing my own inbox. Hermes can replace every admin and low level ops role on your team. It can also waste a month of your life. The difference is design. I put everything that worked into a 24-page guide. Download it → upload it to Claude → have it build your agent file system with you, one file at a time. Compound this one system and you'll make an extra 500-1M in profit in the next 12 months. Comment "Hermes" and I'll send it. (Must be following for the auto DM.)
Suryansh Tiwari@Suryanshti777

Every AI agent today has the same problem. It forgets everything the moment the session ends. Your workflow. Your preferences. The fixes it learned yesterday. All gone. Hermes Agent is one of the first projects pushing in a completely different direction. Instead of treating AI like a temporary chat window, it treats it like a system that should: • remember • evolve • reuse experience • and improve over time That’s why developers are suddenly paying attention to it. The architecture behind it is genuinely interesting: • self-evolving skills • multi-layer memory • cross-session recall • autonomous agents running 24/7 • GEPA optimization loops • persistent personalities & workflows The result feels less like “using an AI tool” and more like building a long-term AI operator that compounds with usage. Made this infographic to simplify how the whole system actually works because this is easily one of the most interesting open-source AI agent projects right now.

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Tim Yakubson
Tim Yakubson@tim_yakubson·
I’m LOCKING myself in a London co-working space for the next 2 days… To film a 5+ hour course on Claude Code for GTM. With actual workflows we’re using inside my 7-figure agency. For context… Over the last few months I’ve: - Spent 100+ hours learning Claude Code - Tested it across different GTM use cases - Walked clients through it step-by-step And 1 thing became very obvious. Most people are BARLEY scratching the surface of what this can do. So I decided to package everything into one resource. A full 5+ hour course breaking it down: 1. How to actually use Claude Code for GTM 2. Real workflows you can build alongside me 3. How to completely replace Clay using it 4. Where it fits into your existing stack 5. What to avoid (this part matters more than people think) If you want early access (FREE): Comment “Claude GTM” and I’ll send it over when it’s ready. (must be following) PS: I want this to be something you’ll actually use, so if there’s something you’d want to see built step-by-step, drop it below or just send me a DM. I’m filming this over the next few days so I can still include it.
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John
John@johnvirality·
ONE person can run the production workflow behind $100M+ in revenue and 20B+ views from their laptop with arcads all without: - big production teams - 100+ separate subscriptions - tab switching between 6 different AI tools it puts seedance 2.0, kling 3.0, nano banana pro, and a dozen other models behind one all-in-one dashboard so i documented the ENTIRE production architecture... covering product photography, character generation, video animation, the 6-shot script formula, and the scaling math that makes $10-30k/mo realistic for a single creator like + comment "ARCADS" and i'll send you the ENTIRE system (must be following + RT for priority access)
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Valdo
Valdo@reachvaldo·
Found an AI tool that just gave me @thedankoe’s full 7,098 tweet history. Now I can reverse engineer exactly what worked for him. If you want the same system I’m using to do this, comment “GO” to try it for free.
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Javi Consuegra
Javi Consuegra@jconsu·
El otro día hablé con un tío que lleva 12 años vendiendo. Me dijo una cosa que me dejó pensando... "Javi, ya no soporto coger el teléfono." Y yo... buff. Le entiendo. Al principio era distinto. Llamabas, hablabas con alguien, igual salía algo. Pero ahora... las mismas llamadas. Los mismos guiones. La misma objeción en el minuto 3. Me enseñó sus números. 70 llamadas al día. Respuesta real... a saber, 3 o 4. Y de esas, alguna reunión y ya. Lo que me jodió... bueno, los números también. Pero más la cara que puso al decírmelo. Un tío bueno. Con experiencia. Que sabe de lo suyo. Quemado de repetir lo mismo 70 veces al día como un robot. Y yo pensando... mira, llevamos años pidiéndole a la gente que haga cosas de máquina. 70 llamadas. El mismo guión. La misma objeción. Cosas que un bot haría en segundos. Y mientras, el tío este... pues eso. Quemado. No sé eh... pero creo que hay un montón de vendedores así.
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Claudia Arganaraz
Claudia Arganaraz@c5de5144cf6647f·
El consumidor/cliente ha cambuado y los vendedores no. Seguimos vendiendo como en los 90. Porque la función de ventas no pasó por la division del trabajo, ni por la re ingenieria y porque solo con cursillos de ventas no estamos realmente entrenando correctamente a las fuerzas de ventas. Hoy debemos adquirir habilidades nuevas combinando la tecnología. Ni la IA puede hacer buenos scripts si no hay un buen proceso de experiencia del cliente. Hoy ya hay agentes de IA que pueden hacer decisionescde compra. En fin....
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Fivos Aresti
Fivos Aresti@fivosaresti·
Our team spends 200+ hours a week inside Claude Code. This is the system we use, you can clone the whole thing today: For context... A LOT of outbound teams are still burning 20 minutes per email switching between 5 platforms. Multiply that across an SDR floor and you're losing the equivalent of a full headcount every week. Without a playbook… Teams adopting Claude Code waste hours fighting the setup before they touch a real workflow. We rebuilt the workflow inside Claude Code so the terminal does the whole job end-to-end. So I'm opening the whole internal repo up. What's inside: • 10 Claude Code Skills covering the full outbound stack from ICP through campaign launch and analysis • The CLAUDE(.)md template (the single most important file in the entire setup) • MCP integrations for Apollo, Findymail, BetterContact, HubSpot, InstantlyAI, HeyReach, AI Ark • Safety guardrails and post-execution validators • Plugins for org-wide deployment plus the full slash command reference Want it? 1. Follow @fivosaresti 2. Reply “CLAUDE” And I'll send the GitHub link.
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Christian
Christian@coldemailchris·
Most B2B companies only reach 3-10% of their TAM every month. Our clients reach 100% every 90 days with this outbound playbook: This is the same playbook that our team has collectively implemented for > 100+ B2B companies > 30,000+ positive responses > $70M+ in B2B pipeline value In this outbound playbook, I outline exactly how you can: 1. Build a proprietary GTM knowledge base 2. Map your total addressable market (TAM) for outbound 3. Clearly define your ideal customer profile (ICP) with AI 4. Developing industry/persona segments from your TAM 5. Uncover untapped data sources with AI deep research 6. Scrape databases and find actionable contact data 7. Qualify and enrich contact data in Clay 8. Setup autopilot Clay enrichment table 9. Craft a no-brainer B2B offer for cold traffic 10. Develop unique messaging angles for each segment 11. Generate email script variations with AI 12. Setup deliverability infrastructure for 98%+ deliverability 13. Expand into unified multi-channel outbound 14. Create an effective lead management & nurture system 15. Close more deals from outbound traffic This covers the entire A-Z playbook for reaching your full TAM with outbound. Want access to the entire doc breakdown of this playbook? 👉 Just comment “YES” and I’ll DM you the doc (Must be following to receive)
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Javi Consuegra
Javi Consuegra@jconsu·
Pasara esto algún día con nuestras @iota??? 😂😂😂
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Javi Consuegra
Javi Consuegra@jconsu·
@naiveotero @braiscv @datolaes A ver....como todo pues se puede hacer, pero al igual que tu creo que es estúpido no usar la IA aunque sea para resumir...informarse...pilotear ideas...
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Naive
Naive@naiveotero·
@jconsu @braiscv @datolaes Lo entiendo para medicina, política, arte (ilustración, música, etc), ¿Pero para contenido? Es una aberración pedirle a un humano que fabrique piezas de contenido a la demanda de una red social sin apoyo de herramientas. Eso solo lo quiere quien no las crea.
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Javi Consuegra
Javi Consuegra@jconsu·
Aún no entiendo porque le gente resalta cuando un contenido es hecho con IA...como si dieran medallas por ello. Si el contenido es bueno...te hace pensar...te aporta...que más da quien lo haya escrito? Aprendes menos si "lo hizo la IA!!". O cual puede ser la motivación?
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Javi Consuegra
Javi Consuegra@jconsu·
Te digo una cosa. Empezando así las mañanas es imposible no triunfar.
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Brais Calvo
Brais Calvo@braiscv·
@jconsu @datolaes El esfuerzo, la autoridad son factores que los humanos valoramos. Personalmente, soy de la opinión me da igual, pero valoro que se indique su uso y para que se ha usado. Para mí el símil más cercano sería con la música hecha a golpe de prompt por Suno
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Javi Consuegra
Javi Consuegra@jconsu·
@braiscv @datolaes Curioso dato no? Pero que se esconde detrás? Que no hay esfuerzo? Vale menos? Que a mi también me pasa eh? Pero la.musica electrónica no es música o que? No se...no se...
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Javi Consuegra
Javi Consuegra@jconsu·
A medida que más aprendo de IA más me doy cuenta de la importancia que van a tener la gestión de emociones, relaciones y liderazgo...en las empresas del futuro.
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Keşfet

@axtalks @storeycopy @jordan_ross_8F @tim_yakubson @johnvirality @reachvaldo @thedankoe @RodrigoRojasFer