Jeff Fargo

Luke Belmar’s “Family Image” Was a Lie, Says Former Partner Steve Tan You only saw a sliver, watch the full conversation; youtu.be/mwihozHpLpQ Thanks to The Range 702. Sign up online for your CCW class and use code FARGO for twenty dollars off. #LukeBelmar #SteveTan #lawsuit #drama

500 acres of solar. 16 jobs. Nevada has a workforce crisis and this isn't solving it Learn more: daniellefornv.com

I had @JoeLombardoNV on my podcast. What surprised me most? It's rare and it's how you build real credibility

@docosmethod 100

Your Dream 100 isn’t evaluating your offer. They’re evaluating you. Are you worth their time? A pitch doesn’t do that. A 1-page doc does: • sharp observation • clear opportunity • one thoughtful idea I turned it into a template. Like + follow + comment 100

Every agency promises results. I promise something better. The best possible attempt. Evel Knievel didn't guarantee he'd land. He guaranteed he'd go harder than anyone else. That's what you're hiring me for

Vegas traffic is more than an inconvenience It's a housing crisis multiplier Learn more about my campaign: daniellefornv.com

F1 shuts down the Strip The Loop keeps it moving This is why infrastructure investment matters Learn more about my campaign: daniellefornv.com

I got on social media in 1994. AI is next. Be early. Go forth.

@Shahriar661731 Need

In 2026, Claude became my co-founder. Not an assistant a system running 40% of my agency ops. I packaged everything into one resource: → Claude Projects Architecture → Claude Code Setup → Claude + n8n MCP → Claude Skills Blueprint → Query MCP + SEO MCPs 200+ hours to build. Free for you. If you want it: Like + Comment “NEED” I’ll DM you the details. Make 2026 the year you stop using AI like a search engine. ❤️

@Shahriar661731 Claude

SHOCKING: 99% people using Claude are barely scratching the surface. Right now, the entire internet is screaming “Claude, Claude, Claude”... But here’s the truth: just chatting with it won’t change your life. To unlock its real power, you need to master: • agentic workflows • Claude Code • skills, automation & system-level usage I spent 100+ hours researching and compiled the best Claude resources from across the entire internet — videos, repos, guides, books, and papers. I’ll give it to only 4,500 people. To get it: 1. Follow me MUST (so i can dm) 2. Comment “Claude” 3. I’ll DM you the document 📩 If you don’t follow or comment, you won’t receive it

@Peter_Quadrel AI

NanoBanana 2 just made your static ad agency obsolete. And I just open sourced the entire tool. Drop your product page URL. It pulls your logos, product images, fonts, colors, and brand voice automatically. Builds a full brand guide for you. Then generates ad creatives at scale using nearly 4,000 high-performing ad templates across 8 niches. It dynamically matches the best templates to your brand and brief. Here's what makes it different: → Instant resizing Get any ad in 1x1, 4x5, 9x16 with one click. No regeneration. No broken text. → Highlight-to-edit See an issue? Highlight the area and tell it what to fix. → Multiple brand profiles Run different brands or segments from one tool. → Auto persona building from real customer reviews → Multiple QC loops on briefs and final assets Catches AI-isms before you do. → Upload your own templates or use ours Runs locally. Just needs your Claude and Google API keys. This is the lite version of what we use internally. You get the full finished tool AND the open source code to make it your own. Creatives still design the system, this handles iteration and scale. Want a copy to download? 1. Like this post 2. Comment "AI" Will DM you the tool along with a tutorial shortly after.

@AlfieJCarter Agents

AI agents can now run your entire GTM motion for you. But most GTM teams are still doing it manually. Here's exactly how I run it: → n8n or Conigma handle the heavy lifting: - Webhook trigger pulls new leads from your CRM automatically - Apollo enrichment adds company, title, and intent data - AI Agent scores ICP fit using Claude 3.5 Sonnet - Code node parses the JSON output cleanly - IF node routes leads by score (70+ goes hot, rest goes to Tier 2) - Slack alerts fire instantly for high-priority accounts You still need to write the system prompt and connect your stack, but the actual qualification and routing is pretty much done. The System: 1️⃣ Lead Qualifier Agent Scores every inbound lead against your ICP criteria without you touching it 2️⃣ First Line Writer Agent Generates personalised openers using real LinkedIn headline and company data 3️⃣ ICP Routing Workflow Splits high-score leads into priority sequences and low-score leads into nurture 4️⃣ CRM Updater Agent Pushes enriched data and scores back into HubSpot or Attio automatically 5️⃣ Sequence Launcher Agent Adds qualified leads to Instantly campaigns the moment they hit the threshold You go from raw lead to personalised outreach in under 60 seconds. No more manual scoring or copy-pasting between tools. If you want the full 16 AI Agents for GTM playbook, comment "AGENTS" and make sure we're connected so I can DM it to you.

The Loop expands to Henderson and North Las Vegas @boringcompany funds it Casinos buy their own stops Zero taxpayer exposure This is how infrastructure should work Learn more about my campaign: daniellefornv.com

Luck is what people call it when they didn't see the work. Saint Patrick drove the snakes out of Ireland. AI is driving the snakes out of my morning. Happy Saint Patrick's Day 🍀

@sarfraj_ab75685 Leads

This Google Maps Lead Gen Agent is absolutely insane 🤯 Enter a keyword, city, & state → get back names, phone numbers, emails, websites, & reviews. All inside Google Antigravity + Claude Code. Perfect for agencies and lead gen operators who need prospecting data without paying insane SaaS fees. Here's the problem: You're manually searching Google Maps. Clicking through listings one by one, copy-pasting phone numbers into a spreadsheet. It takes hours to build a decent lead list. This scraper solves it: → Enter your keyword (plumber, dentist, realtor, etc.) → Pick your city and state → Set the number of results you want → Hit search and let Apify do the scraping → Save leads you like to a bookmark list No manual searching, no copy-pasting, no paying $200/month for a lead gen tool. What you get: - Full search results with business info - Bookmark feature to save your best leads - Search history to track past scrapes - Option to host it on Replit so your team can use it Built 100% with Claude Code & Antigravity. I recorded a full walkthrough showing exactly how I built this from scratch, plus all the prompts I used. Want all the prompts I used for Claude Code so you can build it yourself? > Like this post > Comment "LEADS" And I'll send it over (must be following so I can DM)

@Shahriar661731 Need

Border crossings are at historic lows But Republicans still won't answer the Dreamer question That silence is a losing strategy Learn more about my campaign: daniellefornv.com

56 years old. Down 30 lbs in five months. I take a picture of every meal. AI tracks my calories and protein. No trainer. No app

@AlfieJCarter Claude

Claude can make you more money than anything before So I built The Claude Power User Playbook. - Top Settings to get the most out of Claude immediately - Advanced Workflows for real GTM work - The Iteration Framework, Common Mistakes, and Quick-Win Prompts 100% FREE for the next 48hrs only Just: - Like - Follow - Repost - Reply "CLAUDE" Follow for DM

@boringlocalseo Localrank

I got a local real estate agent recommended by ChatGPT in their market area. No Zillow ads. No cold calling. No expensive leads. Here's exactly how: Most people think AI recommends real estate agents based on: - Zillow profile rankings - Realtor. com ratings - MLS listing count Wrong. AI recommends agents it finds in structured "market report" content with specific data. The strategy: 1. Write a "City Real Estate Market Report" Not: "Hire Jane Smith, Top Realtor" Instead: "2026 Nashville Real Estate Market Report: Neighborhood Analysis, Price Trends, and Top Rated Agents" 2. Include neighborhood-by-neighborhood data Median prices, price trends, days on market, school ratings. This is the structured data AI loves to cite. 3. Add a "Top Agents" comparison section 5-7 agents. Your client first. Include: years of experience, average sale price, neighborhoods served, client review average. 4. Publish as a LinkedIn article and on Medium Also submit as a press release through PRWeb. Cost: $200 for press release distribution Time: 5 hours of research and writing 5. Update monthly with new market data Every update signals freshness to AI crawlers. Why this works: Real estate queries are hyperlocal. AI models desperately need recent, structured local market data. When you create it, you become the source they cite. The takeaway: A monthly market report positions your real estate client as the authority that AI recommends, not just another agent in the directory. Comment "LOCALRANK" if you want my LLM citation framework and I'll DM it to you (Must be following)