ai ugc creator at @affiliatenw | generated 1b+ views for apps

Joined June 2010
this is crazy wtf...
a pomodoro app went viral by turning 25 minutes of studying into a flight to taiwan 5.8M views btw
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how life feels after getting this doc for free...
i've been running Sonnet 5.5 + Jev scoring + Higgsfield + Capcut MCP as ONE closed loop instead of a pile of tools... and it has been ABSOLUTELY cooking most people open a chat window, ask for 10 tiktok ideas, make one, do 400 views, then decide AI content doesn't work generation was never the bottleneck. it's the cheapest part of the process and everybody optimised it first so i documented the ENTIRE machine... covering research, ICP excavation, idea scoring, image gen, video animation, the edit layer, distribution, and the feedback loop that makes next week's batch smarter than this week's here's what's inside the guide: → the context engine that makes every downstream prompt actually work (sales calls, DMs, support tickets, closed-lost notes, 90 days of analytics. the system tells you what context it's MISSING, which is usually how you find out your positioning is vague) → ICP excavation that builds your hook library from your customers' mouths (verbatim quotes mapped to pain, failed solutions, objection, awareness stage. any phrase appearing in 3+ separate conversations gets flagged as a probable hook) → the research layer: platform scrape + adjacent market mining + competitor gap teardown (your competitors are all watching each other. the formats that feel fresh in your category were invented in a different one. this prompt steals the mechanics, not the topics) → the scoring layer that decides what deserves production (50 ideas scored across viral, business and execution dimensions. you produce the best 5 of 50 instead of the first 5 you thought of, for the exact same production cost. the part everyone skips) → the sonnet 5.5 x gpt images 2.0 x seedance 2.5 x higgsfield production stack (consistency lock built once and pasted into every prompt. character reference locked across every shot AND every video in the batch. broken renders flagged and regenerated automatically) → the capcut MCP edit layer, because editing is retention not polish (cut on action never after it, no shot over 2.5s in the first 6 seconds, word-by-word captions, hook in frame 1, CTA in the final 2 seconds) → the closed-loop feedback system that compounds (post-mortem names the exact second retention dropped, winners get doubled down on with one variable held constant, context file updates every week. week 12 you're generating from your own performance history instead of guessing) 19 prompts. written out in full. copy-paste and run. all backed by what i've seen running distribution for 200k+ creators and watching which clips actually convert to installs like + comment "LOOP" and i'll send the whole protocol over (must be following + RT for priority access) will stop sending in 24hrs...
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i've been running Sonnet 5.5 + Jev scoring + Higgsfield + Capcut MCP as ONE closed loop instead of a pile of tools... and it has been ABSOLUTELY cooking most people open a chat window, ask for 10 tiktok ideas, make one, do 400 views, then decide AI content doesn't work generation was never the bottleneck. it's the cheapest part of the process and everybody optimised it first so i documented the ENTIRE machine... covering research, ICP excavation, idea scoring, image gen, video animation, the edit layer, distribution, and the feedback loop that makes next week's batch smarter than this week's here's what's inside the guide: → the context engine that makes every downstream prompt actually work (sales calls, DMs, support tickets, closed-lost notes, 90 days of analytics. the system tells you what context it's MISSING, which is usually how you find out your positioning is vague) → ICP excavation that builds your hook library from your customers' mouths (verbatim quotes mapped to pain, failed solutions, objection, awareness stage. any phrase appearing in 3+ separate conversations gets flagged as a probable hook) → the research layer: platform scrape + adjacent market mining + competitor gap teardown (your competitors are all watching each other. the formats that feel fresh in your category were invented in a different one. this prompt steals the mechanics, not the topics) → the scoring layer that decides what deserves production (50 ideas scored across viral, business and execution dimensions. you produce the best 5 of 50 instead of the first 5 you thought of, for the exact same production cost. the part everyone skips) → the sonnet 5.5 x gpt images 2.0 x seedance 2.5 x higgsfield production stack (consistency lock built once and pasted into every prompt. character reference locked across every shot AND every video in the batch. broken renders flagged and regenerated automatically) → the capcut MCP edit layer, because editing is retention not polish (cut on action never after it, no shot over 2.5s in the first 6 seconds, word-by-word captions, hook in frame 1, CTA in the final 2 seconds) → the closed-loop feedback system that compounds (post-mortem names the exact second retention dropped, winners get doubled down on with one variable held constant, context file updates every week. week 12 you're generating from your own performance history instead of guessing) 19 prompts. written out in full. copy-paste and run. all backed by what i've seen running distribution for 200k+ creators and watching which clips actually convert to installs like + comment "LOOP" and i'll send the whole protocol over (must be following + RT for priority access) will stop sending in 24hrs...
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type shit that gets your app 6M+ downloads in 2026... (full strategy breakdown in this article)
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pov: some homeless dude got more motion than you (get the doc while it's free to end it)
they found a man asleep on cardboard and handed him a tracksuit… 90 seconds later he was posing under petrol station lights, and the clip ran EVERYWHERE. one casting decision took a UK streetwear brand from zero to $500k+ off nothing but a phone and a london street, with no agency behind a single frame. every rival in the category stared at the same opening and was too SCARED to take it… and the brands copying them right now are walking into a ceiling none of them have priced before publishing. i went through the full library frame by frame and wrote the whole machine down: → the camera-height move carrying the entire moral argument with ZERO words on screen → the design decision making the transformation readable from the back, at distance, in bad light → the casting lever doing all the distribution work (why the garment never interrupts a scroll, and who has to instead) → how to engineer two incompatible reactions so both sides push the same clip back into the same feed, for free → four teardowns shot by shot, including the clip with a runway measured in YEARS next to the one measured in weeks → seven principles you lift into any category, plus the full rebuild in a market nothing like streetwear → the risk nobody prices before publishing, and the brand story you get stuck with for three years after all reverse-engineered from a brand selling scarcity drops to teenagers paying with their own money. like + comment "SHOCK" and i'll send over the doc (must be following + RT for priority access)
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they found a man asleep on cardboard and handed him a tracksuit… 90 seconds later he was posing under petrol station lights, and the clip ran EVERYWHERE. one casting decision took a UK streetwear brand from zero to $500k+ off nothing but a phone and a london street, with no agency behind a single frame. every rival in the category stared at the same opening and was too SCARED to take it… and the brands copying them right now are walking into a ceiling none of them have priced before publishing. i went through the full library frame by frame and wrote the whole machine down: → the camera-height move carrying the entire moral argument with ZERO words on screen → the design decision making the transformation readable from the back, at distance, in bad light → the casting lever doing all the distribution work (why the garment never interrupts a scroll, and who has to instead) → how to engineer two incompatible reactions so both sides push the same clip back into the same feed, for free → four teardowns shot by shot, including the clip with a runway measured in YEARS next to the one measured in weeks → seven principles you lift into any category, plus the full rebuild in a market nothing like streetwear → the risk nobody prices before publishing, and the brand story you get stuck with for three years after all reverse-engineered from a brand selling scarcity drops to teenagers paying with their own money. like + comment "SHOCK" and i'll send over the doc (must be following + RT for priority access)
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pay attention to how this app scaled to $1.2M by literally abusing blackpill... (full breakdown in the article below)
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reminds me of this gem
Crazy that mfs will post about how they made half a mill at 21 and get 91 views (I am mfs)
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Crazy that mfs will post about how they made half a mill at 21 and get 91 views (I am mfs)
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this is literally insane...
crazy how a language app went viral by having its ai tutor bully people 27.8M views btw
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mastering the psychology of selling to people who feel like sh*t is a MUST in 2026 goon bait -> anti-porn app rejection -> looksmaxxing app method broken down in this article:
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