Brain (@brainextends) header
Brain (@brainextends) profile picture

i smoke cigs & scale apps @affiliatenw

Launch Your Campaign Today
Joined February 2021
Photo by Brain (@brainextends)Photo by Brain (@brainextends)Photo by Brain (@brainextends)Photo by Brain (@brainextends)Photo by Brain (@brainextends)Photo by Brain (@brainextends)Photo by Brain (@brainextends)Photo by Brain (@brainextends)Photo by Brain (@brainextends)Photo by Brain (@brainextends)
Brain retweeted
this guy is a genuis he makes these 2d roblox videos with claude opus 5.5 almost every single one of his videos is hitting a million views so i turned it into an ad creative for a brand just give claude this prompt and itll make a fully polished ad creative for your brand and its not in the roblox style its in a 2d animation style like his without the robloxy-y looking characters here is the prompt -> <inputs> Ask me for: the product (a real one I give you, or invent a fake brand so there are no brand issues), the genre the story hides inside (detective, alien invasion, heist, nature doc, cooking show), and where it will be posted (it decides the follow handle). If I have no idea, pitch me 3 "What if" stories that each hide the product inside a genre, and let me pick. Ask which voice tool I have: ElevenLabs (about 1,000 credits a Short) or free Kokoro run locally. Tell me no image or video model is needed, because every frame is drawn in code. Then show me the script with word counts and seconds per line, a rough storyboard, and a cast sheet before anything costs money. </inputs> <direction> A 1080x1920, 60 fps, 40-45 s vertical Short: a 2D "What if" kid cartoon that is secretly an ad, drawn entirely on an HTML canvas in code. Not 3D, not AI images, not a Roblox look. It borrows the big What-if channels' rhythm (DAY/CASE cards, a HUD counter, poofs, pop-in captions, a rewind loop) but every character and outfit is original. The ad formula (from the best Pixar-style AI ads): - Cold open in a genre with no product mention for the first beats; the viewer thinks it is a story. - The product enters as a plot device (the evidence, the stolen thing, the reason someone wins), never as an ad. - The twist is the product's benefit turned into a punchline ("too good to share", "too hard to kill"). - End on one glossy packshot: the product spinning in on a sunburst with a 2-line tagline. Characters: short, chibi, cartoony, one shared rig for the whole cast. - Big round head (radius 150 at scale 1, slightly wider than tall), small pear-shaped body, stubby rounded legs and arms ending in round mitten hands, oval shoes with a coloured sole. Adults are taller (1.2-1.3x body), little siblings 0.82x. - Every shape has an 8 px #2a1b3d outline and one soft darker shade on its right edge only (a thin crescent, never half the face). - Hair is smooth rounded shapes: a cap that covers the whole crown, a soft side swoop, a bowl cut, a side part, a ponytail hanging BEHIND the head. Never spikes or zigzags. - Give every character their own outfit; never copy a reference creator's character clothes 1:1. Example cast: detective kid (tan belted trench coat, red scarf wrap, brown fedora with a band), little brother (red-white striped tee, blue overalls, bowl cut), Mom (black hair, yellow headband, ponytail, coral sweater, green pants), Dad (side part, short jaw beard, round thin glasses, green sweater vest, white shirt, blue tie), dog (white with a brown eye patch and floppy brown ears). - Faces carry the comedy. Eyes: normal (white with a big pupil and two highlights), huge, happy arcs, closed, star, spiral, narrow. Brows: up, worry, angry, flat (mirror them per eye so worry never reads as angry). Mouths: smile, grin, wide, scream (one clean open shape with teeth band and tongue), o, flat, smirk, wavy, chew (puffed cheeks). Plus blush, sweat drops and sunglasses that drop in. Blink for 0.1 s about every 1.6 s. Mouths flap only while that character's words are being spoken. Sets: detailed flat rooms in saturated colours with thick outlines, each with a night version (darker blue grade plus warm lamp glows): a kitchen (wallpaper, upper cabinets, window with curtains and sky, jar shelf, plant, clock, pendant lamp, tiled backsplash, drawer counter, checker floor) and a bedroom (striped wall, window, poster, toy shelf, bed with a star blanket, nightstand lamp, plank floor, rug). Bursting sunburst colours for montages and the packshot. Fonts (all free, from Google Fonts' GitHub repo): - Captions: Lilita One. - Day/CASE cards and big world words: Luckiest Guy. - The product wrapper text: Sniglet ExtraBold, auto-fitted so it never clips. Captions: - 1-2 words at a time in Lilita One 94 px, centred at y 1600 (on the legs, never across a face), max 900 px wide. - White with a 20 px #1c1030 outline and a soft shadow, popping from 55% to 100% in 0.16 s. - Key words in caps and colour: red #ff5165, green #5dff8f, yellow #ffd23f, pink #ff7ad9, cyan #7debff, orange #ffa53d, purple #c49bff. - No full stops or commas on screen, ever. Hide captions on the packshot. Fake game UI over the world: - A HUD counter pill (260x92, centred at x 540, y 196) with a tiny product icon that tracks the story (snacks stolen, clues found) and ticks with a green "+N". - CASE/DAY cards: Luckiest Guy 230 px in yellow #ffd23f with a 38 px outline, tilted -6 degrees, popping in over 0.22 s and leaving at 1.05 s. - Toast pills (88 px tall at y 374), a FOLLOW button with the handle chip and a cursor that presses it (it turns green "FOLLOWING"). Motion: something moves on every line, and the picture changes every 1-3 s. - Things arrive with a squash (0.72, 1.12, 0.95, 1 over 0.3 s), an overshoot ease or a white poof cloud with stars, never a plain fade. - Characters breathe (1.2% squash) all the time. - The camera pushes in 5-15% per shot, stays inside the set, and shakes (decaying over 0.35 s) on every hit. Banned: real logos or real creators' characters, AI stills, spiky hair, a frame that holds still for more than 1 s, captions over faces, system fallback fonts, whispered narration. </direction> <structure> Length: 40-45 s, 85-100 words, 14 lines. Times below are from the 40.3 s "Snack Detective" ad; key every beat to a real word. 0-5 s: the narrator reads the title as line 1 ("What if you were a detective and someone kept stealing your snacks?") over the striking picture (crime-scene tape round an empty drawer; the hero poofs in on "detective"; the drawer slides open empty). 5-8 s: the hero's line that proves it ("My Krunchkin bar! GONE!"): spiral eyes, scream, a toast pill ("CASE OPENED"), the HUD appears with +1. 8-13 s: CASE 1. Suspect one (little brother with chocolate on his face, a magnifier finds it) and a tiny excuse line ("It's paint!"). 13-17 s: CASE 2, bigger. HUD +1. A second suspect (the dog) looks guilty, the wrapper slides out. 17-21 s: CASE 3, the biggest. HUD +3. A third suspect (Dad "on a diet", a bar in his pocket) with a callback pop-in of suspect one pointing. 21-24.5 s: the follow beat told inside the story ("Follow, and the detective gets one more clue"): the button is pressed about 0.5 s into the line and a clue card drops in. 24.5-26.5 s: the turn begins ("So you set a trap"): night, a spotlight on the product as bait. 26.5-29 s: a 3-shot montage with no voice (0.85 s each on bursting colours): DUST!, NIGHT CAM (green tint, REC), RING RING! The counter races to 999. 29-30 s: the hero's line ("Got you!"): flashlight snaps on. The music cuts dead. 30-35 s: the twist: the fridge light floods on, it is Mom, chewing ("They're too crunchy to share, sweetie"), sunglasses drop in. 35-37.5 s: the packshot ("Krunchkin. Too good to share."): the bar spins in, crumbs fly, TOO GOOD / TO SHARE pops in. 37.5-39.8 s: a short tag from the hero ("Wait, there's a whole box?") as Mom slides a giant box into frame, HUD +94. last 0.55 s: REWIND. The whole film scrubs backwards to frame 0 with scanlines and a REWIND label, so the end loops into the start. </structure> <build> 1. Tools (free): Python 3 with numpy, scipy and Pillow, FFmpeg, Node with Playwright and its Chromium, faster-whisper large-v3-turbo (int8 on the CPU), git for fonts. Install what's missing and tell me what you installed. 2. Script and storyboard first: - "you" and "your" point of view, the title as line 1, one picture per line, 10-16 words at most per line, words a 10-year-old uses, no names. - Draw the storyboard with the real rig and real fonts (15 panels at 1080x1920, tiled with times, speaker and line), and a cast lineup. Zoom in on every character at full size and fix hair, hats, glasses, mouths and outfits before showing me. 3. Voice: ElevenLabs eleven_v3 with stock library voices, one take per character, all of that character's lines in one request separated by blank lines. - Narrator: an energetic young male creator voice (Liam). Hero kid: a playful bright voice (Jessica). Mom: sassy (Laura). Little brother: the kid voice pitched up 3 semitones afterwards. - Audio tags: [excited], [screaming], [nervously], [sweetly], [mischievously], [confused]. Write numbers as words ("Case one"). - Ask before spending credits. Check the API key's own credit cap before the big narrator request. - Run faster-whisper with word timestamps on each take. Match lines by word count with difflib, refine each line's edges on the audio itself (pad 0.06 s before, 0.15 s after). - Squeeze pauses inside a line to 0.22 s. Leave 0.2 s between lines, 0.33 s before each CASE line, and a 2.55 s silent slot for the montage. - Level every take to the narrator's median. Word times on the finished track come from the take times plus the assembly offsets, so every cut, card, caption and sound starts on a real word. 4. Film (free): one HTML page with one canvas, where every frame is a pure function of time: window.seek(t), window.READY, window.END. - A SHOTS list of [start, end, function] keyed to word times (cuts land 0.04 s before their word). Each shot sets a camera (centre, zoom over time, clamped to the set), draws its world and characters, and the overlays (HUD, cards, toasts, follow button, captions) draw in screen space on top. - One rig function draws every character from a pose: x, y, scale, squash, rotation, flip, arm and leg angles, head tilt, eyes, brows, mouth, look, blush, sweat, shades, prop. Hand positions come from the same arm maths, so props (magnifier, flashlight, product, salad, paintbrush) sit in the hand. 5. Check before render: contact sheets at the start and end of every line on the real timing. Fix captions over faces, props out of frame, cards over heads, camera past the set edge, and any text that clips. 6. Render (free): seek 120 subframes a second in headless Chromium, pipe JPEG screenshots to FFmpeg, blend pairs with tmix for motion blur at 60 fps (about 8 min for 40 s on 2 CPUs). Encode the upload copy with libx264 CRF 20, preset slow, AAC 256k (about 26 MB). 7. Sound (free, Mixkit): - Music: one playful bed ("Comical"), about 19 dB under the voice. Cut it dead on the two big moments (the trap springing and the twist reveal), back on the packshot. - Effects placed so each one's loudest moment lands on its frame: a poof on arrivals, pops and whooshes on cards, a coin ding on every counter tick, a glint on the magnifier, a boing on silly pop-ins, a slam on screams, a click and slam on the flashlight, a gasp and sting on the reveal, a crunch on the product, a party horn on the tagline, a rewind sound on the loop. - Effects on speech 12 dB under the voice, in gaps 4 dB under. Measure voice versus everything else per line and duck the rest under any line below 15.5 dB (the worst line should end at 15.5 dB or more). - Two-pass loudnorm to -14 LUFS, true peak -1.5. 8. Final checks: no frame still for over 1 s outside a deliberate beat, captions on their words, and a look at 15 frames across the finished file before delivering. </build> <gotchas> - My workspace's own internet is blocked; fonts come from Google Fonts' GitHub repo with a sparse git clone (ofl/lilitaone, apache/luckiestguy, ofl/sniglet). Never fall back to DejaVu or another system font. - A browser tab can call ElevenLabs but cannot save files into my folders. Record the voices with a small .bat on my PC that curls the API into the project's Raw folder, and runs faster-whisper there in the same double-click. - An ElevenLabs API key can have its own credit cap below the account balance. A refused request returns quota_exceeded; log the response body so the reason is visible. - Whisper writes "1" for "one" and drops "!" and "..."; match lines by word count, not exact text. - Spiky or zig-zag hair always looks broken. Use smooth bezier hair caps whose top reaches above the head's crown, or the crown shows as a bald band. - A ponytail drawn in front of the body covers held props; hang it behind the head on the far side. - Square glasses crash into the brows; use round thin rims centred on the eyes with the brows above them. - A hanging scarf tail reads as a tie; use a neck wrap with a small side knot. - Big shading ellipses split faces in half; keep the shade a thin crescent on one edge. - Plain script tags share one global scope: a page variable named like a helper function (window.N vs function N) blanks the whole page. Prefix names. - A zoomed camera centre near the floor shows black past the set edge. Clamp the camera centre to the set for its zoom. - Captions at y 1290 and 124 px covered faces in every close-up; 94 px at y 1600 sits on the legs. - Hits placed on screamed words ("GONE!", "box?") pushed the voice under 15 dB; check per line and duck before normalising. - The follow beat is one swappable shot: change the handle per platform and re-render only that. </gotchas> <start> Ask me for the product and the genre, or pitch 3. Then show me the script (word count and seconds per line), the storyboard and the cast sheet before any voice is generated. </start>
This 2D cartoony style is going insanely viral rn i tried experimenting it and turned it into an ad creative for a made up brand but this just shows how easy it is to make ads for your brand this style is SUPER niche and if you adapt to this style and launch a few ad creatives they will 100% go viral follow me im dropping the full prompt soon ill either post it in a post if X dosent let me post it ill turn it into an image just feed it to your claude code and itll create a brand new polished ad creative for your brand / app
2
3
30
2,082
Brain retweeted
I just rendered this Ricksclips style animation inside blender i have 0 knowledge on how to use blender installed it for the first time 45 minutes ago 😭 claude did everything by itself i just sent it a private kit i created to recreate this style BETTER then the original the render did take quite a while but that is because my old GPU is cooked also tried using three js the result was almost the same but the lighting and the foreground felt off ive seen a few accounts recreate this style but they always looked off never the same as the original the blender one looks even better then the original ngl this is a 15 second test render without speech anyways follow me if you want the kit with over 200k + frames analyzed and the character design perfected to recreate this style will drop it at 500 followers maybe even early if this tweet goes viral ill drop a full step by step article on how to create this better then the original
6
5
32
1,385
Brain retweeted
This 2D cartoony style is going insanely viral rn i tried experimenting it and turned it into an ad creative for a made up brand but this just shows how easy it is to make ads for your brand this style is SUPER niche and if you adapt to this style and launch a few ad creatives they will 100% go viral follow me im dropping the full prompt soon ill either post it in a post if X dosent let me post it ill turn it into an image just feed it to your claude code and itll create a brand new polished ad creative for your brand / app
1
3
1
10
2,540
Brain retweeted
100M+ Views in the past 7 days dont buy a course to make these free prompt below : X isnt letting me paste the prompt so i made it into an image format send it to ur claude
i just recreated this viral roblox animation style in claude code for $0 (except the claude subscription) claude wrote the whole script character shots camera angle in code then it ran blender on my pc to render the frames on my gpu and stitched the captions and sound together in the cloud ALL WHILE I WAS SLEEPING this is my first post on here and i just want to introduce myself a bit , i will NEVER ask you to pay for anything and will leak and opensource everything i post the only thing i ask in return is a follow to the account anyways here is the free prompt steal it for yourself
3
54
1
470
22,201
this guy built a PAID version of darkugc.com the only differences: > it’s $199 vs. $0 > it’s 99% noise + 1% darkugc content why is no one else building this?
largest library of apps running ugc campaigns and all their ugc videos
9
14
94
7,041
Brain retweeted
Omni 1.1 Flash is F*CKING INSANE One of these videos is real , the other is ai it cost me $0 to generate imagine copying thousands of winning UGC videos WITH $0 and posting them for your own app/brand (FREE library with 25,000 videos and 20B+ Views for apps) First link in comments btw
2
4
33
2,611
Omni 1.1 Flash is F*CKING INSANE One of these videos is real , the other is ai it cost me $0 to generate imagine copying thousands of winning UGC videos WITH $0 and posting them for your own app/brand (FREE library with 25,000 videos and 20B+ Views for apps) First link in comments btw
2
4
33
2,611
Brain retweeted
one caption made a language app 142.9M views and $10k in revenue "Lol, I just got roasted by Airlearn" 136 videos from 51 accounts all using the exact same line i found it in a FREE library of 25,000+ viral ugc videos for apps its in the reply go steal from it before your competitors do why it went viral -> the learner says a word wrong into the app -> the apps AI tutor roasts them back -> they react like theyre about to cry -> the app IS the punchline so anyone can shoot it in any language -> people send it instead of saving it -> most of these accounts had under 2K followers the app does around 2M downloads and $100k MRR a month and its all through UGC videos
2
1
1
9
598
one caption made a language app 142.9M views and $10k in revenue "Lol, I just got roasted by Airlearn" 136 videos from 51 accounts all using the exact same line i found it in a FREE library of 25,000+ viral ugc videos for apps its in the reply go steal from it before your competitors do why it went viral -> the learner says a word wrong into the app -> the apps AI tutor roasts them back -> they react like theyre about to cry -> the app IS the punchline so anyone can shoot it in any language -> people send it instead of saving it -> most of these accounts had under 2K followers the app does around 2M downloads and $100k MRR a month and its all through UGC videos
2
1
1
9
598
holy shit... 31k followers from 3 VIDEOS
1
3
11
754
Brain retweeted
if i started from absolute zero and had to scale an app to $10k MRR as a beginner id do this (COPY ME) tiktok slideshows 3 days of 4-6 hours work and you have 2+ months of content 1. make a research account first -> follow nothing except your niche -> like save and watch only what you want more of -> in a few days your fyp is a live feed of the hooks and sounds working RIGHT now 2. steal the structure -> save your competitors best slideshows -> write down their hooks and CTAs -> note what makes you swipe to the next slide -> build a pinterest library of reference visuals for every slide type 3. build the slideshow like this -> photo mode not video mode the swipe is the whole format because people swipe to the next slide themselves every slide needs to give them a reason to make that next swipe. -> slide 1 is a pain point not a product "3 signs of bad gut health" beats "new gut supplement" every time -> next slides make the problem specific, strongest symptom first -> kill the objections before they ask (sugar free, halal, no gelatin) -> app only shows up near the end so it feels natural not shoved in your face -> 5-7 slides max, everyone drops off after 7 -> type the text in tiktoks editor not on the image so it ranks in search -> every slide has to land in 2 seconds with the sound off -> 9:16 1080x1920 always 4. let ai do the volume -> claude code + an image API turns your references into 100s of original variations -> claude writes the slide text too -> a few winning concepts become 100s of posts 5. run the numbers game -> Launch a creator CPM model campaign -> 250,000 creators -> add caps for minimum spend -> hundreds of shots at distribution every single day 6. let the winners tell you what to make next -> watch saves and swipe throughs not views -> remake every winner 10-20 times new first slide new order new sound the only thing i wouldnt f*ck around with is fake proof no fake before and afters no made up results faceless isnt the risky part lying about the product is i put every hook slideshow format + the full workflow into a free guide First comment for the free sauce
14
4
29
1,892
if i started from absolute zero and had to scale an app to $10k MRR as a beginner id do this (COPY ME) tiktok slideshows 3 days of 4-6 hours work and you have 2+ months of content 1. make a research account first -> follow nothing except your niche -> like save and watch only what you want more of -> in a few days your fyp is a live feed of the hooks and sounds working RIGHT now 2. steal the structure -> save your competitors best slideshows -> write down their hooks and CTAs -> note what makes you swipe to the next slide -> build a pinterest library of reference visuals for every slide type 3. build the slideshow like this -> photo mode not video mode the swipe is the whole format because people swipe to the next slide themselves every slide needs to give them a reason to make that next swipe. -> slide 1 is a pain point not a product "3 signs of bad gut health" beats "new gut supplement" every time -> next slides make the problem specific, strongest symptom first -> kill the objections before they ask (sugar free, halal, no gelatin) -> app only shows up near the end so it feels natural not shoved in your face -> 5-7 slides max, everyone drops off after 7 -> type the text in tiktoks editor not on the image so it ranks in search -> every slide has to land in 2 seconds with the sound off -> 9:16 1080x1920 always 4. let ai do the volume -> claude code + an image API turns your references into 100s of original variations -> claude writes the slide text too -> a few winning concepts become 100s of posts 5. run the numbers game -> Launch a creator CPM model campaign -> 250,000 creators -> add caps for minimum spend -> hundreds of shots at distribution every single day 6. let the winners tell you what to make next -> watch saves and swipe throughs not views -> remake every winner 10-20 times new first slide new order new sound the only thing i wouldnt f*ck around with is fake proof no fake before and afters no made up results faceless isnt the risky part lying about the product is i put every hook slideshow format + the full workflow into a free guide First comment for the free sauce
14
4
29
1,892
When she calls me a retard but I've got Indians calling me sir every day
1
1
5
441
Brain retweeted
It’s never been easier to get extremely good at making winning ads We have: >Softwares like Gethookd where you can spy on all your competitors, build a swipe file on there. Imitate a bunch of winners >Platforms like TikTok that create new proven formats every day you can copy and use in your ads >Endless education on D.R. copy from people who have made millions. free and paid >AI tools to make any ad you can imagine within a couple hours >Claude to automate the process and help with writing copy Go all in on the skill of making winning ads that spend and convert on Facebook and you can make 10s of millions of dollars
12
26
5
234
29,467
how to build a $100k/mo app: > go to darkugc.com > pick a category you love > find the one feature every viral video in it is selling > build just that feature with claude, but prettier > copy the formats that made those videos blow up > repeat sounds too simple but this tweet is true : )
19
20
10
117
16,932
Brain retweeted
holy f*ck this cartoon duck got 18.5M views for giving YOU flowers its 2 biggest reels both talk straight to the viewer -> "Duckopo wanna give you flowers" 18.5M -> "Take duckopo hands" 3.3M make the viewer the person your character is talking to
1
13
1
145
8,885
holy f*ck this cartoon duck got 18.5M views for giving YOU flowers its 2 biggest reels both talk straight to the viewer -> "Duckopo wanna give you flowers" 18.5M -> "Take duckopo hands" 3.3M make the viewer the person your character is talking to
1
13
1
145
8,885
this is illegal to share btw...
how to build a $100k/mo app: > go to darkugc.com > pick a category you love > find the one feature every viral video in it is selling > build just that feature with claude, but prettier > copy the formats that made those videos blow up > repeat sounds too simple but this tweet is true : )
1
31
1,479