Gabriel Irish

Most affiliates pick niches they like. Winners pick niches by commission structure. The difference between $50/month and $5,000/month isn't effort. It's this 👇 x.com/AIAffGabriel/s…

Day 2 back. Published a new article. Going dark for a few days to recharge. When I'm back — proper schedule, clearer direction. See you on the other side.

The problem with most AI content isn't the output. It's the input. Shallow prompts → shallow results. Strategic prompts → strategic output. AI amplifies your thinking. If the thinking is weak, so is everything else.

The real shift isn't automation. It's workflow design. AI doesn't replace marketers. It replaces inefficient workflows. The advantage goes to whoever builds the better system first.

The stack that's emerging: NotebookLM → research layer. Upload your sources, query your own knowledge base. Claude → strategy layer. Structure thinking, identify angles, design frameworks. ChatGPT → production layer. Turn strategy into posts, scripts, ads at scale. Each tool has one job. The system breaks when you mix them up.

Most people use AI like a chatbot. Open. Ask. Copy. Move on. The marketers moving faster are doing something different. They're separating AI into layers. 🧵x.com/AIAffGabriel/s…

@argon_delta helpful bro

how to extract every winning angle in ur category in 4 hours (send this to ur strategist) > step 1: open Reddit. find the 5 biggest subs in ur niche (r/joints, r/menopause, etc.) > step 2: scrape top 100 posts of all time + top 100 of last year > step 3: feed everything to an LLM with this prompt: "extract distinct customer archetypes. for each: their identity, their core pain, what they've tried, what they fear, what they want to be told" > step 4: output 5-7 archetypes. each is a different psychological profile. > u now have verbatim language from each archetype, in their own voice > mirror it back in ur ads. they recognize themselves immediately. > CTR doubles overnight on cold audiences BONUS: run the same prompt on competitor ad transcripts. compare which archetypes ur competitors are targeting. find the archetype with high pain density and zero coverage. that's ur entry angle. this is the cheapest infrastructure upgrade in DR. it costs $0 and replaces weeks of "customer research." signed from the temple of scale, argon

@FedotOff90 Underrated strategy: Find markets where purchasing power > competition.

A brand called Kyno is scaling hard in a market nobody in the ecom space ever talks about. Israel. 9.5 million people. Tiny country. But the numbers tell a completely different story. Israel's ecom market generated $9.5 billion in 2024 and is projected to reach nearly $13 billion by 2029, growing at 10%+ annually. Among the highest disposable incomes in the Middle East. 79% of the population aged 15+ owns a credit card. Supplement consumption per capita that rivals the US. The AOVs are insane. Brands selling $80-$120 products are seeing conversion rates that match or beat the US — in a market with a fraction of the ad competition. Meta CPMs in Israel run $4-8 depending on niche. Not as cheap as Southeast Asia. But the AOVs more than compensate. Here's what makes Israel unique: the population is small, but the purchasing power per person is massive. You're not going for volume. You're going for margin. A $120 AOV product with a $22 CAC in a market with almost zero Western DTC competition. Setup is relatively straightforward. Hebrew translation (or English works for a large portion of the population), local payment integration, and fulfillment through a regional partner. Total launch cost: $2,500-$4,000. Israel is the next UAE for ecom entrepreneurs looking for high-AOV international markets with low competition. Small market. Fat margins. Almost nobody there yet. If you're Israeli or have Israeli friends — might be a great market to tap into.

@Soulmotionlabs @runwayml Animation studios should be paying attention to this

Seedance is absolutely insane for animation. Made in @runwayml Full Prompt: 15-second cinematic animated short, premium stylized 3D feature-film quality, charming rounded character design, expressive faces, snappy timing, fluid body motion, polished bedroom environment, warm natural window light, soft bounce lighting, realistic cloth and hair motion, shallow depth of field, cinematic lensing, playful magical tone, clean composition, strong silhouette posing. character: @hero boy SHOT LIST WITH TIMING 0.0 - 3.0 sec Medium shot. Interior bedroom. 8-year-old boy sitting on bed, arm stretched forward, palm open toward a single pen on desk in front of him. He strains hard trying telekinesis. Face tense, eyes squinted, body shaking with effort, subtle bed bounce. Audible grunts. Camera slowly pushes in on boys face. 3.0 - 5.0 sec Cut to wide shot of full room. Bed on one side, desk with a pen on it. Posters, books, scattered toys, lived-in kid bedroom. Boy continues forcing powers toward pen. Curtains flutter slightly. Camera locked with slight handheld energy. Pen in foreground with the boy out of focus in the background. 5.0 - 7.0 sec Cut to close-up of boy’s face. Extreme concentration. Teeth clenched, cheeks puffing, eyebrows compressed. He gives one final powerful grunt. Tiny facial tremble, comedic over-effort. 7.0 - 8.5 sec Cut to macro close-up of a pen on the desk. Silence beat. Then the pen nudges forward only a few centimeters with tiny scrape sound. a small movement. 8.5 - 11.0 sec Cut back to medium shot of boy. He notices tiny movement but interprets it as failure. Expression falls. Long disappointed sigh. Arm drops limp. He flops backward onto bed dramatically, mattress compresses and rebounds. He stares at ceiling. 11.0 - 15.0 sec One beat of stillness. Then sudden fast crash zoom backward from boy, through bedroom, smashing out the window in one continuous camera move. Pull rapidly into huge exterior reveal: the entire house is floating 20 feet above the ground, gently hovering in the air above the street of houses which are on ground level. Trees and yard below. Subtle debris drifting downward. House tilts slightly. Golden sunlight. End on wide heroic comedic reveal. STYLE NOTES Fast readable cuts, strong anticipation and payoff, expressive animation arcs, clean eye lines, comedic timing, whimsical realism, smooth camera transitions, polished render quality. NEGATIVE PROMPT text, watermark, logo, extra limbs, creepy face, broken anatomy, jittery motion, flicker, noisy render, dark scene, horror tone, low detail, stiff animation, warped room geometry, duplicate objects, camera stutter. #seedance #AIart️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️️ #madewithrunway

@mannybarbas_ Retention is the only real CAC hack

99% of the brands / people you idolise on this platform perform in ecomm because of retention. that can be through subscription, and non-sub brands. all of us have 1 thing in common. a deep understanding that LTV:CAC is what's most important. if you're relying on first purchase profit (and have no retention) i highly, highly doubt you'll ever exceed 1m months in ecomm consistently. i've been in this game for 14 years and i'm yet to meet anyone who's grown a sustainable growing brand YoY without it. so... instead of always trying to "bring CAC down" or "launch more ads and scale" - you should be asking - "how do i get people to buy again?"

@StefanGeorgi If an LLM can replace 3 tabs and 2 prompts, it already wins.

Hot take: Manus is by far the best "everyday consumer" LLM and it's not even close. It's massively underrated. You literally just tell it to do things and it does them. It's fast, easy, and efficient. No-brainer for non-technical people who want a powerful LLM experience.

@arthuryetiai The real insight here: content pipeline ≠ distribution engine

@ky_markets It’s creative testing at scale

@mirowastaken1 facts. most people are still stuck in the “find 1 winner and pray it lasts” loop. real scaling starts when testing becomes a system, not a gamble.

At $300k/month I was testing maybe 15-20 new creatives per month Finding a winner once every week or two. Scaling it until it fatigued. Then scrambling to find the next one. That cycle is stressful and fragile. Your entire revenue depends on 2-3 active winners at any given time and when they die you're in trouble until you find replacements. What helped me get to $60k-$100k/DAY was building a system that let us test 100+ creatives per WEEK At that volume, finding winners stops being a bottleneck. You always have something working and scaling you up When one creative fatigues there are already 3 more behind it ready to take over But volume alone isn't enough. The quality of your creative testing process matters just as much. Every creative we test is built around a specific hypothesis. A hook angle, a pain point, a desire trigger, an objection handler. We're not just throwing shit at the wall. Each batch is designed to answer a specific question: does this angle resonate? Does this hook format outperform the last one? Does leading with social proof beat leading with the problem? Then we actually analyze the data. We look at hook rate, hold rate, click-through rate, etc etc separately Because each one tells you something different about where the creative is winning or failing. A creative with high thumb-stop but low hold rate has a great hook but the body isn't compelling. A creative with great hold rate but low CTR is interesting to watch but doesn't drive action. Each of those is a different fix. This level of analysis is what lets you compound learnings over time instead of just randomly testing and hoping. Every batch of creatives should make you smarter about your customer, not just give you another ad to run.

@affprinter Designers optimize for aesthetics. The algorithm optimizes for readable metadata.

most underrated thing on tiktok rn: if ur adding text to ur slideshows or videos, where u add it matters way more than what it says. tiktok runs OCR on every post. the algorithm literally reads ur on-screen text and uses those words as keywords to decide who to push the post to. captions get read. hashtags get read. but on-screen text is the heaviest signal cus its visible to viewers. here's the catch: when u add text inside the native tiktok editor, the system reads it cleanly. when u bake text into ur image or video before uploading (canva, capcut burned-in style, whatever), tiktok still tries to OCR it but the signal is way weaker. flat images get pushed blind cus the algo cant cleanly parse the content. this is why two posts with literally identical content can do completely different numbers. one hits 500k cus tiktok knew exactly which audience to push it to. the other dies at 800 cus the algo had no clue what the content was about. applies to both slideshows and videos. doesnt matter the format. native text in the tiktok editor. every time. if ur posts are getting low views consistently and ur design is good, this is probably ur problem. start adding text natively after upload. watch ur views move.

@knoxtwts The niche isn’t the moat Niche × format × timing is

how to find every unsaturated ai content niche in 60 minutes using claude and one tiktok scraper (send this to your strategist) feed the entire dataset into claude with one prompt. output: a matrix of niche-format slots with engagement above 18% and active operators below 5. the move: > scrape source: any tiktok analytics aggregator (reel(.)farm, exolyt, pentos(.)io). pull views, likes, saves, slide count, account handle, niche tag. > filter: accounts in the ai content lane (mobile app affiliate, saas affiliate, character-lifestyle, faceless monetization) > export to csv or json > feed claude with this prompt: "identify niche × format combinations where engagement rate exceeds 18% AND fewer than 5 active operators are running content. output a matrix sorted by ER desc." > claude returns: a matrix of empty cells in the competitive grid top 5 unsaturated slots from my run: > habit/planning ai apps + 6-slide format: 23-25% engagement rate, 4 active operators > phone-addiction recovery + 5-slide format: 18-21% er, 2 active operators > career-anxiety prep + 7-slide format: 22% er, 3 active operators > home decor ai + 6-slide format: 91.5m view single outlier, 5 active operators > ai journaling + 9-slide vulnerability format: 27% er, 1 active operator most operators target niches by intuition. operators who mine the data find the empty cells in the engagement-vs-competition matrix. the empty cells are the money.

@indiesoftwaredv The lesson: Distribution > production quality.

16 days ago, I said: "AI videos are better than slideshows" I was wrong Spent: $300 Meta Ads + 50 hrs generating Kling videos Made: $1400 Revenue, $400 MRR Switched to slideshows for 3 days Spent: $2 Made: increased MRR to $1.029 Lesson: TikTok rewards save over watch time And slideshows are pure save bait

@erichustls People think the secret is AI tools. The real secret is knowing what content spreads.

If you wanna quit your job & use AI to make passive income… Here’s a full blueprint to make $10k/month by the end of 2026:

@onlinedopamine Before: hire creators. Now: generate them. Wild.

before / after transformations were always one of the most powerful slideshow formats the launch of nano banana back in august of last year really popularized the format but now video models have gotten so good that you can do video content that gets millions of views and to be very honest, it took me a minute to see if it's actually ai or not, which is kinda scary anyone in the fitness, health, and nutrition space needs to jump on this immidiately