Osman

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Osman

Osman

@osman_husain

Content marketing @enzuzoprivacy. words published in @contentharmony @expressvpn @shopify. Interested in D2C, SaaS, growth marketing 👨‍💻

Calgary, AB Katılım Kasım 2012
2.2K Takip Edilen1.1K Takipçiler
Charles Floate 📈
Charles Floate 📈@Charles_SEO·
6 HOURS UNTIL MY AI SEO WEBINAR GOES LIVE.. 24 unique techniques for getting your brand retrieved by ChatGPT, Gemini, Claude, Perplexity, Google AI Overviews and AI Mode! What's covered: - How AI retrieval and citation actually works (not the surface-level BS "EEAT" advice flooding your feed) - Where the SEO industry is heading in the next 12-18 months - The TWENTY FOUR specific techniques (and attack vectors) nobody else has publicly released - Full Q&A and resources pack - Prompt Alchemist 2.0 + Claude Skills MD Files - VIP gets the Source Map Starter Pack for the 10 most profitable niches - 100% Money Back Guarantee ⭐⭐⭐⭐⭐ Doors close in 6 hours!! Reply w/ "WEBINAR" below and I'll DM you the direct link. Last chance 🤝
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Uzi
Uzi@uzairansar·
A month ago, I set up Hermes Agent on an old M1 Macbook i found in a drawer. Now, a month in - I can't believe i was operating without it. Here's how I use it everyday: 👇
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Chris
Chris@everestchris6·
this OpenClaw bot finds warehouse owners & books them solar deals on autopilot... here's how solar business owners can use it to close $500k+ commercial installs: - scans 1000s of warehouses via satellite imagery - scores every roof by size, sun hours & payback - pierces the LLC to find the actual human owner (not info@) - renders their building with panels on it + 25-yr savings - ships them a personalized microsite at their company name - follows up across email, sms & linkedin - books calls straight to the calendar 24/7 reply "SOLAR" + RT and i'll send you the full breakdown of how you can do it too (must be following so i can dm)
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Bony Ghadiya
Bony Ghadiya@bony_ghadiya_·
“google ads is purely bottom funnel” no... I have 30+ clients hit $1M+/mo with Google as main channel. i put everything you need to know inside a notion doc. like, RT + comment “Google” and i’ll send you the entire guide for free. (must be following)
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Lian Lim | Dashboard & AI Automation Expert
I've created a full guide on how to UPSKILL with Claude: - Claude Chat (thinking partner) - Claude Code (senior developer) - Claude Cowork (virtual assistant) Want it FREE? Comment "UPSKILL" and I'll DM you the Full Guide This includes the exact prompting principles that make all 3 CLAUDE modes give better results No sign up needed (Must be following for DM)
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Michal Gren
Michal Gren@michal_gren·
I kept saving design AI agents/skills across 10 different places, so i built one place for all of them. Anyone interested?
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Cas.Fyn
Cas.Fyn@FynCas·
Nano Banana + MakeUGC + Veo3 = AI UGC at scale. - Analyze niche. - Study 1,000+ winning ads. - Generate scripts, avatars & videos. No ghost creators. No wasted samples. 5/15 minutes. Production-ready. $20k/month agencies can’t compete. Comment “UGC” for the workflow. (must be following)
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69kov
69kov@levikov·
Its 3am right now and 3.6 million new moms are awake breastfeeding with one hand and buying whatever their phone tells them to with the other… Stupidly profitable niche. Nobody under 30 wants to touch it. And every month you ignore it is $10-50K you just didnt make $12,000+ in first-year spending per baby. Sleep deprived. Hormonal. Absolutely terrified of messing up their childs development. Scared moms dont compare prices. Anything labeled "for babys development" or "safer sleep" gets bought with zero hesitation And the craziest part? This audience completely refreshes itself every 12 months. 3.6 million brand new customers enter the pipeline every single year who have never bought any of these products before and have zero brand loyalty. Whoever reaches them first wins their spending for the next 12 months The Facebook groups tell you everything: "New Mom Support" groups have 500K+ members. "Breastfeeding Mamas" has 300K+. "First Time Moms" has 400K+. Women post "what helps with clogged milk ducts" and 40 product recommendations flood in. They buy 3 of them before the baby finishes feeding Month 1-3: postpartum recovery. Belly wraps, sitz baths, nipple cream, nursing pillows, lactation supplements. $500-1,500 Month 1-6: breastfeeding. Fenugreek, lactation cookies, breast pump accessories, milk storage, nursing bras. $800-2,000 Month 3-12: baby development. Developmental toys by stage, sleep training products, teething remedies, organic baby food. $3,000-5,000 Month 1-12: mommy wellness. Postpartum vitamins, hair loss supplements, energy products, stress relief. $1,000-3,000 These women buy on two emotions: fear and guilt. Fear theyre doing something wrong. Guilt they might not be giving their baby the best. Those two emotions combined create the most aggressive impulse buyer in all of ecommerce And it resets. Every. Single. Year. 3.6 million new moms with zero product knowledge and maximum urgency Heres how you actually make money from it: TikTok Shop affiliate with AI-generated content. $10-50K/month without recording a video, touching a product, or showing your face AI character: a gentle postpartum doula or experienced mother figure. Posts daily: "what nobody told me about the first 2 weeks after birth." "The supplement that stopped my postpartum hair loss." "Best developmental toys by month" You build trust in DAYS with this audience because new moms are desperate for guidance from someone who understands. Their own mothers are a generation behind on products. Their childless friends dont get it. This character becomes their most trusted source almost immediately There are MOMS in our community (actual mothers) pulling $15K/month running this system. New mom content has the highest engagement, biggest carts, a self-refreshing audience, and almost nobody competing 3.6 million new customers every year. $12,000+ each. Buying at 3am on pure emotion. A market that never shrinks. Under $60/month in tools. No face. No camera Were doing a free live training today. Product selection, character creation, scripting, video generation, all of it People whove attended are hitting $10-30k/mo within their first few months Comment "APEX" or check bio
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Adrian Solarz
Adrian Solarz@adriansolarzz·
after printing $800,000+ and MILLIONS of views with AI UGC… i’m giving away EVERYTHING i know on how I create VIRAL videos with KLING 3.0 like + comment “KLING” and i'll send you a 20k+ word guide about it (must be following + RT for priority access)
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Yann
Yann@yanndine·
If you don't have my "Claude Skills Playbook for GTM Engineers" yet... The one I built to make Claude remember your exact way of working across every session with a complete system across skill file structure, trigger setup, GTM context files, content pipeline skills, and with vs without benchmarking... Just comment "SKILLS" and I'll DM it to you for free (must follow)
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Logan Gott
Logan Gott@LoganTGott·
Everyone is using Claude right now. Very few founders are using it to drive real pipeline from LinkedIn. So I built a free resource with the exact Claude prompts I use to build full LinkedIn funnels… the same system behind the multiple clients we’ve generated over 6-figs for. Most people are using AI to write posts. Almost nobody is using it to build the actual infrastructure that turns LinkedIn into a lead machine. I’m sure I could sell these prompts in the future but for now they’re yours: Comment "Funnel" and I'll send it over. (You need to be following so I can DM it to you.)
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AIPimpPro
AIPimpPro@AIPimpPro·
here's a kid in our discord who created 500 AI model images in one afternoon spent $10 no photoshop. no camera. no designer. no photographer charging $200/hr for mid angles just prompts and a $10 deposit on an image platform that was 3 weeks ago. he's now running 4 accounts pulling $8k/mo combined let me break down the exact workflow because the "gurus" charging $2k for this information are going to hate me: step 1: you don't create the AI model yourself. you let AI create the AI that creates the model sounds recursive. it is. and it works disgustingly well you take chatgpt or claude, feed it the documentation of whatever image model you're using, and tell it to generate prompts optimized for that specific model the difference between "20 year old woman in gym clothes" and an AI-optimized prompt is the difference between obvious AI garbage and images that fool 99% of people scrolling instagram one looks like a video game character. the other gets 47 DMs in the first hour asking "where do you train" step 2: generate a reference face. one single close-up portrait. high detail. this becomes your model's DNA step 3: feed that face into an image-to-image model with face consistency. now every photo she takes looks like the same person. gym selfie. coffee shop. beach. pool. all her. all consistent step 4: batch generate. not one image at a time like an amateur. 8 at once. pick the best 2. run again. 20 minutes and you've got a week of content the video part is what kills competition though take any static image. run it through an image-to-video model. she brushes her hair. she looks at the camera. she picks up a coffee cup. 3 second clip that gets slapped over a trending audio with a controversial caption "POV he can't squat less than me" over a 3 second hair flip that's a viral reel. made from a still image. generated from a prompt. written by AI. for $0.04 or the move that's printing right now: copy a trending tiktok dance. download it. feed the motion data into a motion control model with your AI model's face swapped in your AI influencer is now doing the exact viral dance that's trending. same movements. same energy. her face. zero filming the creators doing this manually with ring lights and makeup artists are spending $500 and 6 hours per shoot you're spending $10 and 30 minutes and generating more content than they produce in a month the tool stack is stupid simple: image generation model for the base face → face-consistent editing model for variety shots → image-to-video for reels → motion control for trending dances → telegram backend for monetization total startup cost: $10 and a brain the people overcomplicating this with custom model training and advanced workflows are building ferraris to deliver pizza. you don't need a ferrari. you need a system that produces content fast enough to feed 4-5 accounts simultaneously because one account making $2k/mo is a side hustle five accounts making $2k/mo is a business and the content pipeline to run five accounts just costs you 45 minutes a day and $30/week in generation credits 2025 you needed to know programming for this. 2026 the tools got so easy that the barrier to entry is literally "can you type a sentence and click run" most people reading this will bookmark it and do nothing the ones who actually open an account tonight and generate their first face will be running profitable pages within 30 days because the gap isn't information. everyone has the information now the gap is the 30 minutes between reading this and actually doing it RT and comment "SYSTEM" and I'll send everything (must be following) or keep paying photographers to shoot content of real models who show up late, complain about lighting, and charge you monthly while a kid with $10 and wifi is outearning your entire operation from his bedroom the tools exist. the playbook exists. your excuses don't need to
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AIPimpPro
AIPimpPro@AIPimpPro·
most people's AI models look like plastic dolls and they wonder why nobody subscribes i've built 6 AI personas across multiple pages. combined they clear $14k/mo. every single one passes as real to 98% of viewers here's the exact system i use to build an AI model that looks human enough to print money: THE FACE LOCK METHOD: consistency is the whole game. one slightly off image and the illusion breaks forever i use a face-training workflow. you feed 15-20 base images of your character into the model and it learns her exact bone structure, eye spacing, nose shape, jawline. not a generic "woman." YOUR specific woman those 15-20 images need variety. different lighting. different angles. slight expression changes. but the SAME face this is where 90% of people fuck up. they generate random images and pray they look similar. that's not how this works. you need a locked reference face that the model reproduces every single time THE TOOLS THAT ACTUALLY WORK: forget the basic generators that spit out a different face every prompt you need LoRA training or a dedicated face-lock tool. train a custom model on your character's face. takes about 40 minutes of setup and 2 hours of training time once trained, every image she appears in has the same face. different outfit. different room. different pose. same girl the settings that matter: CFG scale between 5-7 keeps her looking natural not AI-melted. go above 8 and she starts looking like a wax figure. sampling steps between 30-50. use an inpainting workflow for fixing hands and fingers because AI still can't do hands for shit THE OUTFIT AND LOCATION SYSTEM: i keep a prompt library. 200+ tested prompts organized by category casual home content. gym selfies. coffee shop candids. beach photos. night out looks. mirror selfies with messy room in background the messy room part is important. AI images default to clean sterile environments. real girls have clothes on the floor and half-empty water bottles on the nightstand. add imperfection or she looks generated instantly for outfits i reference real brands and real clothing items in prompts. not "wearing a dress." specific: oversized vintage band tee, black nike pros, white ankle socks, hair in messy bun specificity equals believability THE CHARACTER BUILD: her face is just the start. you need a full identity name. age. city. job. hobbies. music taste. pet. favorite food. the dumb little details that make someone feel real when they talk to her i write a 2-page character bible before generating a single image. her texting style. does she use caps? does she say "lol" or "lmao"? does she double text? send voice notes? subscribers aren't paying for photos. they're paying for a relationship with a person they think exists. the character work is 70% of the business. the images are just proof she's real THE MISTAKES THAT GET YOU CAUGHT: symmetry. real faces are slightly asymmetrical. if her face looks perfectly mirrored she's cooked. add slight imperfections in post teeth. AI teeth look like chiclets. fix them manually or use a prompt that keeps her mouth closed in most shots background consistency. if she's supposed to live in a brooklyn apartment every photo should have the same apartment. build a consistent set of 3-4 locations and rotate hands and fingers. always check. always fix. one six-fingered photo in her story and the whole persona is done jewelry. pick 2-3 pieces she always wears. a specific ring. a necklace. this is what real people do and what AI pages forget skin texture. real skin has pores and small imperfections. if she looks airbrushed to perfection that's a red flag. some people actually add subtle skin texture in post-processing THE DETECTION AVOIDANCE: metadata matters. AI generated images carry metadata that flags them. strip it before uploading anywhere don't post images at perfect resolution. screenshot them. compress slightly. real phone photos aren't 4k perfection add subtle camera noise. real photos from iphones have a specific grain pattern especially in low light. clean AI images with zero noise are an instant tell post at human hours from a consistent timezone. not 50 images at 3am on a tuesday mix in some "casual" content. blurry photos. bad lighting. a photo where she's mid-laugh and slightly out of focus. real people don't have studio lighting in every shot the imperfection is the camouflage i spent 3 months making every mistake on this list before figuring out what actually works. first model looked like a video game character and made $200/mo. current models are indistinguishable from real creators and the revenue reflects it the gap between $200/mo and $4k/mo per model is not better AI tools it's understanding what makes a person look and feel real then engineering that systematically RT and comment "MODEL" — i'll send everything (must be following)
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Ralf Christian 🎄
Ralf Christian 🎄@elralfchristian·
🔥 Instant Google Indexing available in RalfyIndex You can now boost your indexing Index any link in seconds Starting from 1.5 cents per URL More details in the dashboard
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Bony Ghadiya
Bony Ghadiya@bony_ghadiya_·
i should probably charge you for this. but imma do everyone a solid and drop it in your DMs for free. like, RT + comment “GOOGLE ADS” and i’ll send it right now.
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Noah Kagan
Noah Kagan@noahkagan·
You build it. I promote it. Building has never been easier. Getting customers has never been harder. So I’m picking 2 products to promote to our 1,000,000+ entrepreneurs for our 16-year anniversary next Tuesday. Drop your product below. Don’t have one? Build it this weekend and come back.
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Kawsar
Kawsar@Kawsar_Ai·
You won’t lose to AI. You’ll lose to someone who mastered Claude Code first. I put together every resource you need to go from curious about Claude Code to actually shipping with it. This Includes: 🚀 3 Getting Started resources 📚 4 Long Courses 🧠 4 Best Practices guides 🛠 3 Tools & Libraries 🐙 8 battle-tested GitHub repos 📺 6 YouTube tutorials from builders actually using it 👥 6 creators worth following 📧 6 newsletters to stay sharp This isn't theory. It's the exact stack people are using to build real products right now. If you want Free Access Like , RT comment : Send Follow Me is MUST so that i can DM you
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Kawsar@Kawsar_Ai

Just watched a demo of Merge Agent Handler and this actually looks pretty useful if you’re building AI agents. Most agents can generate responses, but getting them to actually take actions across real tools is still messy. Integrations are one thing, but handling auth, permissions, and security usually makes it way more complicated than it should be. What I liked is that it feels built for real workflows — you can actually see what your agent is doing instead of just hoping it works. Feels like a practical layer between AI agents and real work getting done. Worth checking out: merge.dev/merge-agent-ha…

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