blynn

@Hyde_ai3 Ad

VEO 3 + Ad Factory = $750k/month No actors. No studios. No endless editing cycles. - 124% higher ROAS - 8.7x engagement - 89% cheaper than creative teams AI UGC is scaling brands faster than ever. Comment ''AD'' & I’ll DM you the full system (must be following)

@TechWith_Nova Claude

I rebuilt my viral TikTok AI agent with Claude Code in 37 minutes 🤯 A full research-to-brief pipeline that scrapes TikTok, analyzes videos with AI, and generates creative briefs for your clients. All inside Claude Code + Replit. Perfect for creative agencies and DTC brands who want to turn competitor research into briefs without the manual grind. Look, all e-commerce brands & agencies should have at least one person on their team who is their "AI expert" & can vibe-code apps & workflows like this. Here's what the Claude Code version of my TikTok Agent does: → Search TikTok by keyword, date range, and video count → Pull engagement metrics, captions, and thumbnails → Gemini actually watches the video and analyzes the hook → AI scrapes comments for common questions and insights → Generate a full creative brief based on your template + brand bible No watching videos manually. No copying notes into docs. No rewriting briefs from scratch. What you control: - Multiple client projects with separate brand bibles - Your own creative brief template - Which videos to analyze and brief - Full customization through Replit's AI agent Research → Analysis → Brief. One workflow, running a custom, mini-SaaS inside your company I recorded a full walkthrough showing exactly how I built this from scratch. Want the full tutorial? > Like this post > Comment "CLAUDE" And I'll send it over (must be following so I can DM)

@maverickecom ugc

"Act as a CEO" prompts are lazy and destroy AI output. I built 10 production-grade Claude agents to run my entire C-Suite. Steal the full playbook ↓ When you hire UGC creators, you get a blend of authentic fans and people just looking for a paycheck. You get inconsistency. You get unscalable results. To get real, scalable traffic, you must build a content machine. The Old Way: Endless creator outreach, messy spreadsheets, and inconsistent content. The New Way: AI-powered UGC agents that generate and post viral content to TikTok and Instagram on autopilot. I scale e-commerce brands using this system. Each agent has a specific job. I compiled them into The AI UGC Automation Workflow. It contains 5 copy-paste frameworks: • The Trend Spotter: An AI that scrapes TikTok for viral sounds, hooks, and angles . • The Avatar Creator: An AI that generates an army of on-brand UGC avatars. • The Script Writer: An AI that writes engaging video scripts in seconds. • The Video Producer: An AI that combines avatars, scripts, and trends into ready-to-post videos. • The Auto-Poster: An AI that schedules and posts content 24/7 for maximum reach. Stop begging for content. Start building a machine. Want the complete PDF playbook? 1️⃣ Like this post. 2️⃣ Comment "UGC" below. 3️⃣ Make sure we are connected and I’ll send it over. PS — Repost for early access.

@sarfraj_ab75685 Banana

Claude Code + Nano Banana 2 is f*cking cracked 🤯 I built a skill inside Claude Code that writes JSON image prompts for Nano Banana 2, and the outputs look like they came from a professional photo shoot. One plain-text prompt. Claude rewrites it as structured JSON with lighting, camera, composition, style, and negative prompts. Then fires it off to Nano Banana 2. All inside Claude Code. Perfect for DTC brands and agencies who need high-volume ad creative without booking a shoot. If you're using Nano Banana 2 for product shots and lifestyle images but every generation feels like pulling a slot machine lever — random lighting, inconsistent style, plastic skin, misspelled labels ... This skill fixes the entire output: → You describe what you want in plain English → Claude rewrites it as a structured JSON prompt (lighting, camera angle, lens, depth of field, color grading — all of it) → Fires it to Nano Banana 2 via API → Saves the prompt + image in organized folders → You iterate on the style until it's dialed, then every output matches No more slot machine prompting. No more inconsistent brand imagery. No more burning credits on unusable generations. What you get: - Photo-realistic product shots and lifestyle images on demand - Full control over style, lighting, composition, and camera settings - Saved JSON prompts you can reuse across every campaign - A skill that gets smarter the more feedback you give it Built 100% in Claude Code with a custom skill + Python scripts. I put together a full playbook showing the exact skill, the JSON schema, and the workflow to set this up yourself. Want the full playbook? > Like this post > Comment "BANANA" And I'll send it over (must be following so I can DM)

@maverickecom Source

this AI tiktok page has 34k followers and thousands of views you probably wouldn't even tell it's AI i built a workflow to recreate these videos easily reply "SOURCE" and i'll send you access + a full guide (must be following so i can dm)

Churn is the worst reason to have slow growth. Churn means you're not just unknown, or that there's a big threshold to sign up. It means people are actually trying the product and deciding they don't like it.

Playbook for building a legendary company: - Bring together an outlier team - Have that team come up with a novel and compelling insight - Turn that insight into a product or service offering and iterate that offering until it has a compelling value proposition - Turn that compelling value proposition into a unique one - Take all of those already hard ingredients and weave them into an economic engine that has a sustainable competitive advantage - Do all the above again and again, so the company can compound growth at scale None of these are easy. But if it was easy, everyone would do it.

the real AI divide isn't technical vs non-technical anymore it's people who use AI agents daily vs people who don’t. And people building every day and people who don’t. the gap is getting enormous

the prototype is the new PRD ⁠If your team needs a 20-page product strategy doc, you’re already behind someone with a weekend prototype The ability to feel how good a product is, from actually using it, beats all the theorizing and market analysis and user research As they say -- sometimes you just know it when you see it. This applies to product experiences too

It's always the product's fault. Everything in your company exists because the product is not good enough: - If you need 10 minutes to explain it, it's a UI problem. - If you need 10 sales calls, it's a value-prop problem. - If you need a customer support team, it's a UX problem. The ideal product would not need anything around it. All business departments are patches for deficiencies: - Ops are required when customers fail to get the value out of the product. - A help center is needed when the interface fails to be self-explanatory. - An onboarding process when value is not delivered automatically. Nothing will save you from having a bad product. Even if you're a great salesperson and manage to sell it over and over again, you'll experience churn. And it's customer retention that makes a business sustainable. Why would someone eat at a restaurant whose food they hated the first time? A company dies when it runs out of cash. That’s the last stop. Getting there means your business failed to do what a business is intended to do. Earning a profit is proof of service; proof that you are solving a problem for customers in the best way offered. And if you're not ultimately making a profit, it means the product is not good enough.

Elite level marketing @DoorDash youtube.com/watch?v=EEjd6u…

#proudinvestor #xAI

@kritarthmittal dub

This is insane... You can now sell your products globally and connect with customers in their language Arcads now lets you dub any video in multiple languages with automatic voice-over, dubbing, and precise lip sync. I built an n8n automation that: 1. Generates scripts with Claude 2. Builds an ad repository in Google Sheets 3. Bulk create ai ugc ads for your product 4. Dubs them in 20+ languages 5. Post them across your social channels This is how founders will build multi-million dollar global brands in 2026: > Warm up multiple channels like TikToks > Build culturally relevant AI personas > Run content in native languages > Scale globally (on autopilot) Like + comment "DUB" and I'll send you the workflow.

@mikefutia Ugc

I just canceled my Arcads subscription & vibe coded the whole thing in Airtable + n8n 🤯 Full AI UGC production, same outputs, for a fraction of the cost. Perfect for e-comm brands and agencies who need AI UGC at scale without bleeding cash Did you know that Arcads charges ELEVEN DOLLARS (!) per video? That's $110/month for just 10 videos. If you're testing creative at any real volume, the math stops working fast. So I built the whole thing myself: → Actor library with 30+ ready-to-use AI characters → Create custom actors with Nano Banana Pro → Generate variations (same character, different scenes) → Add products directly into your actor's hands → Quick mode: 8-second hooks via Veo 3 → Extended mode: longer talking-head testimonials → B-roll generator for lifestyle clips → ElevenLabs integration for any voice The cost breakdown: ~40 cents per second for Veo 3 hooks ~11 cents per second for AI avatar videos No monthly video caps. No per-video pricing killing your margins. No SaaS middleman taking a cut. I recorded a full 20-minute breakdown showing exactly how this works—the actor library, UGC generator, B-roll creator, everything. Want the full walkthrough? > Comment "UGC" > Like this post And I'll send it over (must be following so I can DM)

2.67 years of AI progress

@maverickecom Agent

Nano Banana + Kalodata + Kling = AI Content Factory No actors. No photo shoots. No ghost creators. No wasted samples. Just hundreds of shoppable TikTok videos going live every single day — automatically. And here’s the wild part: This system produces 300+ product-ready TikTok Shop ads per day from a single prompt. It feels exactly like running Facebook Ads in 2008… except the CPMs are even lower and the entire loop is organic Why this works • ultra low CPMs possible with our content templates • No paid ads needed • No delays, no bottlenecks • Hundreds of creator-style profiles all selling your product 24/7 • GMV compounds weekly because posting never stops • Cost per video: about $5-8 compared to $50-100 for human creator content and compared to $30+ with influencer ai software The traditional tiktok shop scale methods are broken: - influencers charge more than they actually make for the brands - influencer ai video softwares still charge too much per video to justify uploading 300 videos per day Those softwares are meant for meta ads, NOT for scaling on tiktok shop Plus there is no framework to script, edit, or post all those videos… All are things you need since tiktok shop requires massive volume. Your eCom CPG brand can actually make $1m+ on tiktok shop.. however it will require 10k+ videos with proper strategy behind them Here’s the simplest $300/month ai workflow that replaces a $50k+ monthly content budget for ecom brands: 1. kalodata: scrape for viral videos of similar or same products 2. manus → product research + viral hooks + influencer images 3. kling 2.6 motion control → full AI videos • reel farm/n8n → autoposting (testing now) How the full TikTok Shop AI agent system👇 1. Each Agent creates a TikTok Shop–ready profile + avatar Built to look like real creators — optimized for shoppable videos. 2. Agents research, clone, and rebuild winning TikTok Shop content They scrape your niche using a spyware tool like Fastmoss → extract the hooks/angles and upload the video to Manus. 3. Upload your new influencer avatar and the video inspo to Kling 2.6 Motion control, click generate Using n8n or reel farm, agents can post daily across hundreds of accounts Then we deploy the Multi-Platform Swarm (MPS) When a concept hits on TikTok Shop → instantly spin up AI Agents to blast variations across every platform. Everything links back to your TikTok Shop. GMV scales practically on autopilot. (obviously we manage this process, but ai can do the heavy lifting) Results • Thousands of organic views daily • 100–200 shoppable videos posted per day • Entire human creative teams replaced This is the AI Creator Agent Method — the fastest way to scale TikTok Shop in 2026. I packaged the full Agentic Influencer System for free. Every workflow. Every prompt. Every tool. Plug-and-play. Comment “Agent” and I’ll send it to you. (Must be connected) PS: Repost for early access to the full Agentic TikTok Shop stack.

"the goal is not to do business with everybody who needs what you have, the goal is to do business with people who believe what you believe" @simonsinek on how startups should sell

NEO’s Starting to Learn on Its Own

How Elon Musk spends 18 hours at work Marc Andreessen recounts a story from an xAI employee: “Elon spent 18 hours at the office in five-minute chunks. Each person had a five minute speaking slot to explain to Elon what they were doing.” Marc reflects on why this is such a powerful thing for a leader to do: “Every employee had an opportunity to tell the big boss what they were working on. Every employee had an opportunity to be recognized for their effort. Every employee had an opportunity to get live feedback from the big boss who had a comprehensive overview of everything as to what they should be doing. And there’s no place to hide.” He continues: “[Silicon] Valley companies are quite well-run by business standards. But that’s a level of intensity that most Valley companies aren’t even close to.” Video source: @joerogan (2024)

One of the biggest red flags for me when I am pitched is when the entrepreneur talks about how he (or we) are going to make money. Or they talk about exits. Or they talk about how a competitor is worth $1 billion. None of that matters. A startup is a mission. A great entrepreneur is a missionary. Not a mercenary. A great irony of entrepreneurship: The entrepreneurs who come in and say they're going to make everybody money, don't. People who say that they're going to paint a picture of the world that's never been seen before often are the ones who make a fortune. When entrepreneurs leave their cushy Facebook or Google jobs, some of them can't stop looking back. That is a bad sign to me. If the entrepreneur ever says, I could be making $XYZ at Google, I am concerned that they've got one foot in and one foot out and won't make it as a founder. The same can be said for founders who are building a company for the resume versus the mission. There's been an influx of Ivy League MBAs who believe that starting a venture-backed company is the next logical career move. I'd much rather invest in someone who has found a problem and believes with every fiber of their being, and knows deep in their bones, that they're the one who is destined to find the solution.