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Post-267 | 🔞 Forbidden 1145 Https | Adults Only 🎞️⚡ Worth watching every second! ⚡ ⏱️ Check out this exclusive content! ⚡ 🔥 Link in Bio 👆

Laara Rose

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55,340 Aufrufe • vor 1 Jahr •via X (Twitter)

Anya Rossi• Live Now

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i analysed 1,000 TIKTOK slideshows for consumer apps... here's what i found something that change how you run your app/saas campaign since. most people assume the slideshow with the most views brings in the most installs. i tracked every metric i could pull across 1000+ posts. views, saves, comment sentiment, slide count, where the app got mentioned in the sequence, caption length, niche. the data told a different story. the highest converting slideshows rarely broke 100k views. some sat under 20k. meanwhile some of the viral ones with 2m+ views converted under 0.05%. viral and profitable are two different games. here's the pattern that separated the winners. the format was almost always: content, content, content, content, ad warmup, app push. 4 to 6 slides that feel like normal lifestyle or niche content, no mention of the app at all. then one slide near the end where the product shows up, framed as part of the story instead of an ad. apps that opened with the product on slide 1 underperformed almost every time. the accounts winning were disguising the app inside content people were already scrolling for anyway. travel aesthetics, interior inspiration, "things nobody tells you about x" hooks, niche opinions. the second pattern was volume, not virality. accounts running 8-10 tiktoks, posting 2x a day, same slide formats with fresh variations each time. 90% of posts stayed under 5k views, most even under 300. a handful hit 50k-500k. a rare one crossed 1m. the accounts winning weren't making one perfect post, they were running the format enough times that the algorithm found the winners for them. the workflow behind it, if you want to copy it: research first. search your niche on tiktok, screenshot every top slideshow, save the captions somewhere. this is the raw material for everything after. pull matching visuals from pinterest for each slide type in that screenshot pile. figure out what slide 1 looks like, slide 2, slide 3. download a handful per slide type. not everything from pinterest can be reposted as is. run it through an image api like openai or gemini to generate variations that keep the same vibe. 5 slide types x 100 variations gets you 500 usable images fast. feed the competitor captions into claude code and have it write new caption variations in that same tone, keep the early slides content only, drop the app in near the end. claude code can overlay the captions onto the images directly using ffmpeg, then hand scheduling off to a tool that allows accounts to post automatically without you touching them daily. set this up once and you get months of content queued across every account, running the same proven format with fresh visuals each time. the accounts losing were treating every post as a one off. the accounts winning built a system and let volume do the work.

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A 40-YEAR-OLD CHINESE MAN TURNED HIMSELF INTO AN AI GIRL AND BUILT A $4.7K/MONTH FANVUE FUNNEL he started with one face-swap clip. same room, same body, same camera, but the output looked like a completely different creator. not a filter, not cosplay, an ai identity built on top of his own footage the workflow is stupidly simple: claude picks the character, niche and visual style. comfyui generates the face, flux makes the content bank, kling turns still images into reels and capcut pushes out dozens of short clips the article breaks the system down: first month barely cleared $420, second month jumped to $4,700 after one reel crossed 600,000 views. the account reached 800 followers and 50 fanvue subscribers before the real automation even started the fanvue mcp is the part most people miss. claude can analyze messages, pricing, content performance and draft replies in the same style. instead of guessing what to post or say, the system turns the audience into data he only needed around 40 minutes a day. schedule reels, check what worked, generate new prompts, reply with claude, repeat. the business is not the ai girl, the business is the machine around her this is no longer content creation. it is identity arbitrage

A 40-YEAR-OLD CHINESE MAN TURNED HIMSELF INTO AN AI GIRL AND BUILT A $4.7K/MONTH FANVUE FUNNEL he started with one face-swap clip. same room, same body, same camera, but the output looked like a completely different creator. not a filter, not cosplay, an ai identity built on top of his own footage the workflow is stupidly simple: claude picks the character, niche and visual style. comfyui generates the face, flux makes the content bank, kling turns still images into reels and capcut pushes out dozens of short clips the article breaks the system down: first month barely cleared $420, second month jumped to $4,700 after one reel crossed 600,000 views. the account reached 800 followers and 50 fanvue subscribers before the real automation even started the fanvue mcp is the part most people miss. claude can analyze messages, pricing, content performance and draft replies in the same style. instead of guessing what to post or say, the system turns the audience into data he only needed around 40 minutes a day. schedule reels, check what worked, generate new prompts, reply with claude, repeat. the business is not the ai girl, the business is the machine around her this is no longer content creation. it is identity arbitrage

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🚨 “SIX MONTHS TO LIVE.” THEN HER 90-DAY IVERMECTIN + FENBENDAZOLE STORY TOOK A DRAMATIC TURN Irene was diagnosed with stage IV pancreatic cancer. She was reportedly given only six months to live. With little hope left, she reached out for help. What followed was a 90-day journey involving Ivermectin + Fenbendazole, strong family support, and a follow-up CT scan that, according to the story, produced an extraordinary result. 📃 THE 90-DAY PROTOCOL She was reportedly recommended a 90-day protocol that included: 💊 Ivermectin 💊 Fenbendazole With strong support from her family, she followed the plan consistently. Every step. Every day. For 90 days. No shortcuts. 📊 THEN CAME THE CT SCAN After completing the protocol, her husband encouraged her to get a CT scan. According to the testimonial, that scan reportedly changed everything. Her oncologist reportedly confirmed: 📊 No Evidence of Disease (NED) 📄 “CANCER-FREE” ❤️ FROM “SIX MONTHS” TO ENJOYING LIFE AGAIN Today, Irene is described in the story as healthy and strong, enjoying life with her family again. For supporters of repurposed-medicine research, stories like this are powerful because they raise an obvious question: What happened? Could an outcome like this potentially tell researchers something worth investigating? ⚡ BUT THERE'S AN IMPORTANT DISTINCTION This is a testimonial, not clinical evidence. Individual cancer stories cannot establish that Ivermectin or Fenbendazole caused the reported outcome. Critics correctly point out that controlled clinical studies are needed to determine whether these medicines have meaningful effects in cancer. Still, stories like Irene's continue to circulate online and generate intense discussion. And one thing remains consistent across these conversations: When people hear “Stage IV cancer” and “six months to live”... They don't stop searching. They start exploring every possible option. That's why discussions around repurposed medicines continue to grow worldwide. ❓ THE QUESTION THIS STORY LEAVES BEHIND If a reported 90-day protocol was followed by an NED result, should stories like this be investigated more rigorously in larger clinical trials? That's the conversation worth having. 📌 SAVE & REPOST so others can review the story and draw their own conclusions. 💬 If a 90-day protocol was followed by this reported outcome, do you think it deserves deeper clinical investigation? 💊 If you're looking for Ivermectin or Fenbendazole, explore available options at Dr. David with worldwide delivery. #Ivermectin #Fenbendazole #CancerTestimony #Stage4Cancer #MedicalResearch #RepurposedDrugs #CancerResearch

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