Javi Consuegra⚡️B2B Sales

Hemos creado un documento gratuito con 101 maneras de generar leads. Aquí puedes descargarlo saleshackers.es/101-leads

@X_FINALBOSS How

I recently attended a private mastermind of 30+ people selling digital products, each person making $2M to $150M+ per I've never felt so behind and broke even tho im making millions already at 22. people were making millions with ebooks and courses on a variety of topics/niches: Ecom, Tik Tok shop, websites, etc never been so inspired and motivated to grow more :) I've gathered some secret business methods including : 1) how they're getting millions of views per week 2) converting those views into $3K+ sales daily 3) how to automate the entire thing and build systems 4) breakdown example of posts and products sold 5) show you how many sales, sales calls, entire funnel 6) case studies : how complete beginners scaled to $100K+ per month within 8 months with the right methods 7) and how you can get started :) comment "HOW" if you want this (video) must be following + retweet to receive

@MattEpstein16 @oliverbrocato Launch

98 days ago @oliverbrocato asked me to launch his company We went to war: -18 script rewrites -2 entire day shoots -437 comments to our editors The result? Mega viral launch. Hundreds of booked demos. We’ve rinsed and repeated the exact same framework 15 times with the same result: millions in pipeline, sales calendar booked out for months. I’m giving away a 27 page system prompt that we use to write every single launch script + a full notion guide on our entire launch process. This includes the scripts of 100 of the most viral launches ever + our proprietary framework. Companies usually pay me 150k+ for this. RT and Comment “launch” and I’ll send it to you.

@HalimA60962 @NovaIAHQ Kids

Kids animation is the most underrated money niche on YouTube 💸 No face. No voice needed. No trends. Just stories + consistency. One channel: 721K subs 24 videos This is not luck. It’s niche selection. Want the blueprint? Comment “KIDS” 👇 Follow me

@georgesttock Guide

Imagine paying $1,000 for product photos in 2026... AI can turn one product image into dozens of scroll-stopping ads. Different styles. Different backgrounds. Different creatives. All in minutes. I made a step-by-step guide showing exactly how to do it. Comment “Guide” and I’ll send it. (must be following)

@paolo_scales Li

after consistently hitting $119k months using linkedin content ONLY... i’m giving away EVERY lead magnet i ever ran about our linkedin inbound strategy 408-pages. 4-hours of content. the MOST valuable doc on the subject like + comment “Li” and i’ll send you EVERYTHING (must be following + RT for priority access)

@ant0ni0_r0mer0 Ads

I handpicked 1,000+ winning static ads from the fastest-growing DTC brands📈 How do I know they’re top-performing? Every ad in this swipe file has been live & scaling for 6+ months. And no brand keeps spending on creative that isn’t profitably bringing in customers. I've collected ads from these niches: 💅 Health, beauty, & skincare 👕 Fashion and apparel ⚡ Tech and gadgets 💊 Supplements 🏋️ Fitness 🐶 Pets & Many More! This will help you: ✅ Get new ideas for your ads ✅ Check psychological triggers ✅ Understand ad structure Like + Comment "ADS" below & I'll send it over!

@facelesscanup Channels

I made a list of 205 Faceless YouTube Channels that are making over $100,000 (plus 30 making over $1,000,000) With this list you can EASILY study what's working and get a jumpstart on your Channel I'm dming it away to the first 500 people who comment "channels" below 👇 (must be Following to receive the DM)

@TechWith_Nova Statics

@TheMattBerman @openclaw @dataforseo Rank

I built an @openclaw agent that ranks you on Google for $50/month 😱 here’s the system that runs every week on autopilot: step 1: find your strike zone → connects to Google search console + @dataforseo → finds keywords where you're positions 5–20. one good article can push to page 1 → monitors what’s climbing and dropping weekly → feeds winners back in. every cycle is smarter than the last step 2: write content only you could write → interviews you first. 8 questions about your brand, voice, and experience → follow-up interviews every week. “what are customers asking? what shipped?” → content compounds because context compounds → google AI overview can’t summarize your real experience step 3: build backlinks automatically → mines competitor backlinks → finds sites mentioning you without linking → discovers broken links you can replace with yours → last week it found 23 unlinked brand mentions across 4 competitor sites step 4: catch technical problems before rankings drop → core web vitals, bad links, redirect chains, missing meta → flags before Google step 5: future‑proof your SEO → schema, llms.txt, topical authority mapping → the stuff agencies charge $3K+ to audit once input: your site + your niche output: an AI that discovers, writes, builds links, and tracks your rankings the old way: semrush + ahrefs + surfer + seo writers = $5,500/mo this way: @DataForSEO ($50/mo) + everything else free 5 skills. 14 scripts. gets better every cycle. open sourcing the whole system. comment RANK + like + follow (must follow so I can DM)

@dirimir 😂😂😂😂

@jconsu Hacíamos eso hace años, sin AI, con JS en decisionproblem.com/paperclips/

Pero vamos a ver...mmmm...a ver...openclaw...como puede ser?? Es muy muy loco. En serio. De locos total. Estoy creando una empresas 100% autónoma. Con su CEO...sus CXO...sus técnicos... No se si ganaré nada, pero verlo trabajar es increíble...discuten y todo 😂😂😂

@troyaitken_ Setup

I run a $110K/month agency with 6 AI employees. They have names. Personalities. Jobs. One writes content. One monitors infrastructure. One runs campaigns. Here's the full setup: Most people use AI like a search engine. I use it like a staff. The difference: context files that make each AI know its job, its boundaries, and me. USER.md — Who You Are Teaches AI everything about you: → Name, location, timezone → Your business and goals → Working patterns and communication style The AI can't serve you if it doesn't know you. SOUL.md — Personality & Principles The AI's operating system: → Core truths ("Be resourceful before asking") → Communication style and banned phrases → Boundaries and business context This turns a generic assistant into YOUR assistant. IDENTITY.md — Who the AI Is Give it an identity: → Name (mine is Jarvis) → Role (chief of staff, content writer, etc.) → Vibe and operating principle An AI with identity has consistency. AGENTS.md — The Operating Manual The longest and most important file: → Startup routine (what to read first) → Memory system (where to log, what to remember) → Safety rules and learned mistakes MEMORY.md — Long-Term Memory Persists across sessions: → Discovered preferences → Business learnings → Key decisions made Without this, you restart from zero every conversation. TOOLS.md — Integration Notes Your AI's reference manual: → API endpoints and workflows → Team contacts → What works and what breaks Skills — Specialized Instructions Auto-trigger based on keywords: → Content generation → Sales follow-ups → Lead enrichment → Customer onboarding The Agent Squad I don't have one AI. I have six: → Jarvis — Chief of Staff → Loki — Content (8am + 3pm daily) → Ivan — Infrastructure (20K email accounts) → Hades — GTM campaigns → Scrapy — Data extraction → Trigify — LinkedIn scraping Each has its own context, memory, and job. How They Work 8am — Loki writes 5 tweet drafts 9am — Posts to Slack 10am — I approve 2. Done. No prompting. It runs on a schedule. Safety My AI once bought 164 domains without asking. $1,640 gone. Now I have: → Trusted user verification → Financial action gates → Prompt injection defense → Regressions (mistakes become rules) Proactive Behaviors The AI doesn't wait: → Cron jobs for scheduled tasks → Heartbeats for check-ins This is the difference between a tool and an employee. The Stack: → OpenClaw (open source orchestration) → Context files → Skills → Agent squad → Tool integrations → Cron + heartbeats Everyone's sharing AI setup guides. That's a good start. This is what happens when you go 10x further. Not a chatbot. A system that runs while you sleep. Like + comment "setup" and I'll DM you the full template.

empieza la fiesta :)

@lorenzo_pravata Street

If you want to actually scale, use street interview ads. This format is killing it for my clients (Over $5M generated) I've created a mini-guide on how you can exploit these: - Winning examples - Why they're working - Steps to follow when creating them Want it? Like + Comment: “street” and I’ll send it over. (Must be following)

@LucasHogie Opus

🚨BREAKING: R.I.P. CLICKFUNNELS. ChatGPT 5.3 ONE-SHOTS entire VSL funnels now. I compressed my entire VSL framework into a single 5,280-word prompt. The same framework that's generated $1M+ and 500+ booked calls. HOW IT WORKS: You plug in your offer details. It spits out: → Full VSL script from hook to close → Built on the persuasion structure behind EVERY high-converting agency funnel → Generated $1M+ and 500+ booked calls This thing can INSTANTLY double your booked calls. Use it now or get left behind. 🤘 Like + reply "OPUS" and I'll DM it to you

@mikefutia Agents

Claude Cowork Sub-Agents are f*cking cracked 🤯 One prompt → 50 competitor ads analyzed, hooks extracted, and a full creative brief generated. 10 AI agents running in parallel, under 5 minutes. All inside Claude Cowork. Perfect for DTC brands and agencies who are still doing creative research and ad production one task at a time inside Claude. If you're analyzing competitor ads one by one, copying hooks into a spreadsheet manually, writing brief after brief from scratch, and watching Claude's output quality fall off a cliff after the 15th variation because the context window is completely bloated... Sub-agents eliminate the entire bottleneck: → Drop in a spreadsheet of 50 competitor ads and spin up 10 parallel sub-agents → Each sub-agent analyzes 5 ads simultaneously — hooks, angles, CTAs, emotional tone, creative format → They report structured summaries back to the main agent without bloating the context → The main agent synthesizes patterns across all 50 ads into a competitive intel brief → Then spin up another round of sub-agents to generate 30 ad copy variations across 10 personas → Each sub-agent writes for 1-2 personas in a fresh context — so variation 30 is as sharp as variation 1 No analyzing ads one at a time. No context window blowing up halfway through. No copy quality degrading after the first dozen variations. What this gives you: → 50 competitor ads broken down in minutes — hooks, angles, CTAs, formats, all structured → Pattern analysis across the full dataset that you'd miss reviewing ads individually → 30+ ad copy variations with persona-specific messaging that actually stays sharp → A workflow you can save as reusable skills and trigger with one command next time → The same output quality on the last task as the first Built 100% inside Claude Cowork with sub-agents. I put together a full DTC playbook: 5 bulk workflows with copy-paste prompts, the exact sub-agent prompting pattern, batching guidelines, and an honest breakdown of when this setup is worth it vs. when a simpler approach is the better move. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)

@AlfieJCarter Agents

16 AI Agents for GTM ↓ Built to replace the manual work that's eating your team alive. Most GTM teams are doing the same 4 hours of grunt work every single day. Qualifying lists by hand. Writing first lines one by one. Scoring leads in a spreadsheet. Guessing which case study to reference. All of it can run on autopilot. These 16 agents give you the exact prompts and setup to make that happen. Most GTM automation falls apart in the same places: → No ICP filter - so reps waste time on the wrong accounts → Generic copy - because personalisation doesn't scale manually → No intent layer - so outreach goes out at completely the wrong time → List data that's dirty before it even hits a sequence → Zero lead scoring - so everyone gets the same treatment These 16 agents fix all of it. The complete library includes: ✓ 16 production-ready AI agent prompts with {{variables}} pre-filled ✓ Step-by-step setup guides for n8n, Relevance AI, and Make ✓ Structured JSON output formats for every agent - plug straight into your stack ✓ Copy agents covering first lines, voice notes, case study matching, and more ✓ List building agents that clean and qualify before anything hits a sequence ✓ Lead scoring agents that assign tiers, detect intent, and identify champions ✓ Buying stage detection with recommended content and CTA for each stage Instead of figuring out the prompt structure yourself... You get agents that are ready to copy, deploy, and run today. Want the 16 AI Agents for GTM? Follow me, reply "AGENTS", and I’ll send it to your DMs.

@yanndine Voice

Steal my Voice Note Playbook for LinkedIn outreach. You can get it for free right now. Like and repost. Follow me. Comment "VOICE" to receive the link. Follow me so I can DM you.

@yanndine Agents

My team built 16 AI agents for GTM ops. You can have them for FREE - Comment "AGENTS", and I'll send it to you. Most GTM agencies misuse AI in their stack. They bolt on tools, run one-off automations, and hope the output is good enough to send. Even strong operators end up with outreach that looks personalised but isn't actually built on any real signal. So I documented what actually works. I took every manual task that slows down a GTM team - qualifying lists, writing first lines, scoring accounts, detecting intent - and turned each one into a deployable AI agent. Here's what I found: ✅ Most ICP filtering is done by a human who doesn't have consistent criteria ✅ Personalisation at scale breaks down because copy agents aren't given structured inputs ✅ Lead scoring is either missing entirely or stuck in a spreadsheet nobody trusts ✅ Teams have no system for detecting where a lead is in their buying journey - so every message gets the same CTA Now, I want to share the exact library with you. This won't guarantee you a full pipeline overnight... But it will make your GTM ops faster, more consistent, and actually scalable. Inside, you'll get 16 agents across 4 categories: ✅ Setup guides for n8n, Relevance AI, and Make - so you can deploy without starting from scratch ✅ Copy agents - first line writer, voice note script generator, case study matcher, industry personaliser, pain point identifier ✅ List building agents - ICP qualifier, SaaS validator, tech stack detector, company name cleaner, TAM account scorer ✅ Lead scoring agents - account fit scorer, intent signal ranker, tier assigner, champion identifier, buying stage detector ✅ Every prompt includes structured JSON outputs - ready to connect straight into your CRM or sequencer ✅ Every agent includes the exact variables to fill in - no prompt engineering required ✅ One Notion doc, zero opt-in, use it today Your GTM operation is either running on systems... Or running on people doing repetitive work nobody should be doing manually. There's no in-between. These 16 agents turn the manual parts into something that runs on autopilot. If you want to stop rebuilding the same workflows from scratch: Reply "AGENTS", and I'll send you the link.