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I found this stress-management app doing $18M ARR, tbh it's a masterclass in every part of the app business extremely rigorous direct-response ads, crazy onboarding, actually good value product talked to their chief product officer, recorded it. full vid 👇 0:00 Inside an 18 Million ARR App 5:33 How... show more

Joseph Choi

20,388 subscribers

17,291 просмотров • 1 месяц назад •via X (Twitter)

Anya Rossi• Live Now

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Комментарии: 14

Фото профиля Joseph Choi

Joseph Choi1 месяц назад

full vid on youtube

Фото профиля Arnold

Arnold1 месяц назад

FOMO beating benefits in a stress-management app is a curious tension. Did it lift trial starts without hurting week-one retention?

Фото профиля Al Amin | Video Editor For Creators

Al Amin | Video Editor For Creators1 месяц назад

This is amazing broooo love this video

Фото профиля Reubs - Neurotic Pengu

Reubs - Neurotic Pengu1 месяц назад

This app has you paying to be more stressed when ur already stressed 🤪 But damn 18m annual is insane. Kudos to the founder

Фото профиля sam gritton

sam gritton1 месяц назад

Doin gods work joseph

Фото профиля Lukas App Growth

Lukas App Growth1 месяц назад

the thing that makes this a masterclass isnt any single piece, its that the ad and the onboarding speak the exact same language. the promise that hooks cold traffic in the ad is the same promise the first onboarding screen delivers. most apps have a disconnect there, the ad sells one thing, onboarding shows another, and they lose the exact cold traffic they paid for. the 18M ones nail that handoff. ad to onboarding continuity is the quiet unlock 🔓

Фото профиля Samy Sam

Samy Sam1 месяц назад

We built exactly what she mentioned. The Personal AI that adapts to how you feel inside

Фото профиля aaron

aaron1 месяц назад

cool.

Фото профиля Lilly Schade

Lilly Schade1 месяц назад

$18m arr on stress. the category everyone calls soft keeps printing money

Фото профиля Brian Hadu

Brian Hadu1 месяц назад

$18M ARR is impressive, how did they nail their customer retention strategy?

Фото профиля Maximiliano Moxarela

Maximiliano Moxarela1 месяц назад

creating the anxiety via aggressive direct response ads to then sell the cure for 18m arr is pure poetry

Фото профиля Asrar

Asrar1 месяц назад

This is gold man, great apps win when acquisition, onboarding, UX, and conversion are designed as one system.

Фото профиля Its Good

Its Good1 месяц назад

A stress-management app at $18M ARR is what happens when anxiety finally gets product-market fit. WealthMind Pro respects the monetization of breathing exercises.

Фото профиля Siva Dhaas

Siva Dhaas1 месяц назад

It's amazing

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In the crowded subscription app economy, building a great product is no longer enough. As AI has made software significantly faster, easier, and cheaper to build, the primary bottleneck has shifted from product development to distribution. As the serial entrepreneur behind multiple breakout Health & Fitness apps like Fitstar and Zero, Mike Maser has experienced this challenge firsthand. Over the last 15 years, Mike sold his first startup called FitStar to Fitbit, was diagnosed with stage four cancer, made an incredible recovery that he attributes in part to intermittent fasting, and then teamed up with Kevin Rose to build Zero, the world’s #1 fasting app that he has since scaled to $5M+ in ARR and over 10 million registered users. Now, he's navigating Zero through its biggest disruption yet - the rise of GLP-1 medications like Ozempic and Wegovy and the ripple effects they are having on the entire fasting category. Mike breaks down: - Why Zero’s simple one-screen MVP was critical for generating early momentum - How a single tweet from Elon Musk drove $1M in revenue for Zero in 24 hours - Shifting from organic virality to building a sophisticated growth and monetization engine - How Zero adapted its strategy to the GLP-1 era by helping GLP-1 patients track their hydration and manage their protein intake to maintain muscle mass - Zero’s ongoing strategies to reduce subscriber churn and build lifetime subscriber value (0:00) Introduction (2:54) What Zero is and how it created the fasting app category (3:50) Why Mike started building health and fitness apps (10:29) How Mike sold Fitstar while battling stage four cancer (14:57) How intermittent fasting helped Mike beat cancer (18:32) Why Mike took over the Zero app from Kevin Rose (20:53) Why Zero kept its initial app extremely simple (24:53) How Zero's early adopters helped drive initial growth (26:48) How Zero built trust and credibility with early adopters (29:18) How Elon's tweet drove $1M ARR for Zero in one day (32:27) Why GLP-1 medications are reshaping Zero's strategy (36:14) How Zero helps GLP-1 patients protect muscle (42:03) How GLP-1s have expanded Zero's business model (44:41) The loops that will drive Zero's next phase of growth (47:39) Lightning round

Phil Carter

17,941 просмотров • 1 месяц назад

A Rollup that *Actually* Scales Ethereum In this episode of Deeply Intents, I chat with James Prestwich of init4 tech Signet. This episode is a masterclass on rollups. In this episode we discuss: - What is a rollup? - History of rollups - Signet from first principles - Conditional Transactions - Application Controlled Execution - (Re)Based Rollups Timestamps 0:00 - Build a rollup in a completely different way 3:14 - What is a rollup? 6:17 - History of rollups 9:57 - Plasmas 14:34 - Minimum viable merged consensus 18:45 - Signet from first principles 21:27 - No proofs 23:01 - Conditional Transactions 27:42 - Instant bridging 31:47 - App Controlled Execution (ACE) 37:45 - Third party native issuance 39:44 - A rollup that actually scales Ethereum 41:16 - Sequencing and block building 45:33 - More Builders than Ethereum 48:08 - Finding the right partners 53:45 - Benefits of app chain + general purpose chain 56:03 - (Re)Based Rollups 1:00:04 - Unexplored design space for rollups 1:03:41 - Mistakes building products on Ethereum 1:07:39 - Making developer tools 1:11:37 - Bitcoin repeating history

A Rollup that Actually Scales Ethereum In this episode of Deeply Intents, I chat with James Prestwich of init4 tech Signet. This episode is a masterclass on rollups. In this episode we discuss: - What is a rollup? - History of rollups - Signet from first principles - Conditional Transactions - Application Controlled Execution - (Re)Based Rollups Timestamps 0:00 - Build a rollup in a completely different way 3:14 - What is a rollup? 6:17 - History of rollups 9:57 - Plasmas 14:34 - Minimum viable merged consensus 18:45 - Signet from first principles 21:27 - No proofs 23:01 - Conditional Transactions 27:42 - Instant bridging 31:47 - App Controlled Execution (ACE) 37:45 - Third party native issuance 39:44 - A rollup that actually scales Ethereum 41:16 - Sequencing and block building 45:33 - More Builders than Ethereum 48:08 - Finding the right partners 53:45 - Benefits of app chain + general purpose chain 56:03 - (Re)Based Rollups 1:00:04 - Unexplored design space for rollups 1:03:41 - Mistakes building products on Ethereum 1:07:39 - Making developer tools 1:11:37 - Bitcoin repeating history

apriori

26,535 просмотров • 11 месяцев назад

Nikita Bier: optimize for the 'aha' moment. "If you can't demonstrate value in the first 3 seconds, it's over." Modern users have very short attention spans. If your onboarding requires too many steps or asks for personal data (like an email) before showing the product's value, user retention plummets. "How do we expose them to an aha moment as fast as possible, in a memorable and iconic way?" Nikita's example: Dupe originally had a shopping app with a bunch of features including one called Deal Hop which let users put in a product page and it’d help find the cheapest alternative online. They tried getting a very short domain (”dupe”) then created the ability for users to paste any existing URL on top of Dupe's URL and it’d immediately find cheaper alternatives. Result: millions in ARR in under 60 days of launching. It was a blowout success. Attention is a miracle. Don’t waste it. Consider every tap by a user on a mobile device. Cut features, improve speed, and be creative in using APIs and tools. Source: Lenny Rachitsky (Aug 2024)

Nikita Bier: optimize for the 'aha' moment. "If you can't demonstrate value in the first 3 seconds, it's over." Modern users have very short attention spans. If your onboarding requires too many steps or asks for personal data (like an email) before showing the product's value, user retention plummets. "How do we expose them to an aha moment as fast as possible, in a memorable and iconic way?" Nikita's example: Dupe originally had a shopping app with a bunch of features including one called Deal Hop which let users put in a product page and it’d help find the cheapest alternative online. They tried getting a very short domain (”dupe”) then created the ability for users to paste any existing URL on top of Dupe's URL and it’d immediately find cheaper alternatives. Result: millions in ARR in under 60 days of launching. It was a blowout success. Attention is a miracle. Don’t waste it. Consider every tap by a user on a mobile device. Cut features, improve speed, and be creative in using APIs and tools. Source: Lenny Rachitsky (Aug 2024)

Startup Community

46,251 просмотров • 4 месяцев назад

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI

He just quit. He was a primary editor for Diary of a CEO. So I asked him to tell all of his secrets for how he helps the Diary of a CEO be the number 1 podcast on YouTube. 00:00:00 Why Trailers Are Essential for Podcast Growth 00:03:30 Why Most People Are Doing Trailers Wrong 00:06:36 From Film and TV to Diary of a CEO 00:11:48 Retention Rates and What They Actually Mean 00:14:52 What Actually Makes a Podcast Good 00:17:00 Why the Guest Is 50% of Everything 00:22:59 What Makes a Great Podcast Host 00:26:31 Red Flags in Podcast Trailers 00:30:33 The Jefferson Fisher Hook Breakdown 00:34:16 The Louis Tomlinson Hook Breakdown 00:42:35 The 15 Point Checklist for the Perfect Trailer 00:45:28 The Oz Pearlman Hook (41 Second Rule) 00:48:06 The Laughter Track Hack 00:54:11 Sound Design and Visual Details 00:57:04 How to Choose Music Like a Film Director 01:00:02 Disney Imagineering Lesson 01:02:46 The Vanessa Van Edwards Hook Breakdown 01:07:02 The Kevin Hart Narrative Arc Breakdown 01:16:40 The A-B-C Storytelling Framework 01:20:13 The Easiest Win You Can Implement Right Now 01:22:36 How Diary of a CEO Uses AI

Grant

207,354 просмотров • 2 месяцев назад

This Shopify brand is running 900+ AI-generated ads on Facebook 🤯 And they're publishing 20 new AI UGC ads every single day. I pulled their entire Facebook Ad Library and reverse-engineered their entire strategy. Perfect for DTC brands & media buyers who want to scale creative without hiring an army of UGC creators. Here's what makes this wild: Most brands struggle to produce 5-10 new creatives per month. This brand is pumping out 20 AI-generated ads PER DAY. They're using AI video tools to create testimonials, unboxings, demos & lifestyle shots at scale. And it's working. What I found in their ad account: → 900+ total ads live in their Facebook Ad Library → Consistent AI-generated videos across all creatives → Multiple hooks & angles tested daily → Same product, dozens of different scenarios → Clear patterns in what's getting spend I recorded a full Loom breakdown showing: → Which AI tools they're using → The exact creative patterns they're scaling → Hook structures they're testing → How they're maintaining brand consistency → How you can replicate it for your brand Want the full behind-the-scenes Loom breakdown? > Comment "ADS" > Like this post And I'll send over the Loom video (must be following so I can DM)

Mike Futia

111,720 просмотров • 11 месяцев назад

Introducing Icon, the world’s first AI CMO (Chief Marketing Officer): it can plan, create, & run 1000s of winning ads end-to-end. We're backed by Peter Thiel's Founders Fund & execs of frontier AI labs like OpenAI (ChatGPT), Cognition, & Pika. How it works: 1. Connect Icon to your Meta Ad Account & Google Drive. It’ll use your ad account data & existing assets for planning & making ads. 2. Icon finds 100 winning ad concepts daily. It does this by scanning websites (yours & competitors), competitor ads, customer reviews, ad account performance, & more. It comes up with 3 types of ads: "Competitor Clone," "New Concept," & "Winner Iteration." You can copy what worked for competitors, try fresh approaches, & scale your winners. 3. Icon turns winning concepts into ads better than ChatGPT. Say you’re trying to copy a competitor’s before-and-after style ad. ChatGPT would make up random before-and-after scenarios & get your product dimensions wrong. Icon has a reasoning layer on top of GPT-4o that deeply studies the ad for minutes. It understands that it needs to make before-and-after scenarios using real insights from your website, product descriptions, & reviews. Icon gets ad intent, while ChatGPT only sees pixels. 4. Launch ads into your ad accounts with 1 click for less than $1. Before Icon, you’d launch 10 ads per week. Now you can launch 1000 ads per week & get more winners. Everything in my life has led up to this. At 18, I had to support myself. I had to live with my parents to save money. And no one thought I’d go anywhere. I really hated this, so I worked 100-hour weeks until I destroyed coding interviews. Soon after, I dropped out to join Pinterest at 19. After being a minion at Pinterest, I quit cold turkey & started my 1st company Skio. I then fluked into Y Combinator as a solo founder & completely failed during the batch. Thankfully, pivoting worked well ($15M+ ARR & profitable). But it’s not over yet. I have a massive chip on my shoulder that I must fix with Icon. So far, so good: we went from $0 to $5M ARR in our first 30 days. I know I’m not supposed to say this publicly, but I want to make Icon the greatest company of all time. I want to deliver insane value to our customers. I want to create generational wealth for my team & investors. I want to break the $0 to $100M ARR world record. And I’m putting my money where my mouth is: I just bought for $12M. If you've read this far, I want to say thank you with a gift 👇 We have an internal Google Drive with 1000+ static winning ads & 1000+ winning video ads. These ads have driven >$1.3B revenue in the last 6 months. We trained AI CMO on these ads. I’m pretty sure the right person could make $100K+ by just copying them. Retweet this & comment “Icon” and I’ll send you the Google Drive link for free.

Introducing Icon, the world’s first AI CMO (Chief Marketing Officer): it can plan, create, & run 1000s of winning ads end-to-end. We're backed by Peter Thiel's Founders Fund & execs of frontier AI labs like OpenAI (ChatGPT), Cognition, & Pika. How it works: 1. Connect Icon to your Meta Ad Account & Google Drive. It’ll use your ad account data & existing assets for planning & making ads. 2. Icon finds 100 winning ad concepts daily. It does this by scanning websites (yours & competitors), competitor ads, customer reviews, ad account performance, & more. It comes up with 3 types of ads: "Competitor Clone," "New Concept," & "Winner Iteration." You can copy what worked for competitors, try fresh approaches, & scale your winners. 3. Icon turns winning concepts into ads better than ChatGPT. Say you’re trying to copy a competitor’s before-and-after style ad. ChatGPT would make up random before-and-after scenarios & get your product dimensions wrong. Icon has a reasoning layer on top of GPT-4o that deeply studies the ad for minutes. It understands that it needs to make before-and-after scenarios using real insights from your website, product descriptions, & reviews. Icon gets ad intent, while ChatGPT only sees pixels. 4. Launch ads into your ad accounts with 1 click for less than $1. Before Icon, you’d launch 10 ads per week. Now you can launch 1000 ads per week & get more winners. Everything in my life has led up to this. At 18, I had to support myself. I had to live with my parents to save money. And no one thought I’d go anywhere. I really hated this, so I worked 100-hour weeks until I destroyed coding interviews. Soon after, I dropped out to join Pinterest at 19. After being a minion at Pinterest, I quit cold turkey & started my 1st company Skio. I then fluked into Y Combinator as a solo founder & completely failed during the batch. Thankfully, pivoting worked well ($15M+ ARR & profitable). But it’s not over yet. I have a massive chip on my shoulder that I must fix with Icon. So far, so good: we went from $0 to $5M ARR in our first 30 days. I know I’m not supposed to say this publicly, but I want to make Icon the greatest company of all time. I want to deliver insane value to our customers. I want to create generational wealth for my team & investors. I want to break the $0 to $100M ARR world record. And I’m putting my money where my mouth is: I just bought for $12M. If you've read this far, I want to say thank you with a gift 👇 We have an internal Google Drive with 1000+ static winning ads & 1000+ winning video ads. These ads have driven >$1.3B revenue in the last 6 months. We trained AI CMO on these ads. I’m pretty sure the right person could make $100K+ by just copying them. Retweet this & comment “Icon” and I’ll send you the Google Drive link for free.

Kennan Frost

1,345,119 просмотров • 1 год назад

spent an hour with a guy who scaled a single ad past $1M in spend with positive ROAS. broke down exactly what's working for subscription apps on Meta rn spoiler: it's not the talking-head UGC that works for ecom 0:00 - Intro: The High-Leverage Skill of App Scaling 2:20 - Marcus Burke’s Background: Transitioning from Air Traffic Control to Mobile Gaming UA (2012–2019) 4:31 - The Evolution of Mobile Ads: Gaming vs. Subscription App Verticals 5:15 - Moving to Blinkist & Pioneering the Web-to-App Blog Funnel 6:56 - Why In-App Optimization (Onboarding, Paywalls) Dictates Upper-Funnel Meta Ad Success 7:55 - Why E-commerce D2C Talking-Head UGC Formats Fail for Subscription Apps 8:11 - Mitigating App Store Friction: Priming Users in the Creative to Protect Install Rates 9:08 - Case Study: Deconstructing a 1M+ Spend Creative Concept for Moongate 11:13 - Algorithmic Targeting: Using Hyper-Specific Ad Copy to Inform the Meta Algorithm 12:13 - The Reddit + Claude Research Workflow: Extracting Vivid Emotional Language Patterns 14:33 - Soft CTAs vs. Feature Demos: Deciding Where the True "Sale" Happens 16:49 - Funnel Architecture Breakdown: Web Advertorials vs. Direct App Store Installs 18:53 - Static Image Ad Delivery Constraints in App Promotion Campaigns 21:40 - Integrating Generative AI (GPT Image, Google Nano) to Control Creative Testing Variables 38:11 - Top-Level Variables for Performance Scale: Message, Media, Content Type, and Funnel 40:52 - Media Buying Analytics: Evaluating Placement Composition and Demographic Purchase Power 43:42 - Correcting Trial-to-Paid Conversion Disparities Using Meta Value Rules 52:11 - Account Structuring: Leveraging Multi-Ad Set Budgets to Force Spend Across Distinct Niches 55:30 - Capitalizing on Cultural Micro-Trends (ADHD, Toxic Attachments) in Mental Wellness Creatives

spent an hour with a guy who scaled a single ad past $1M in spend with positive ROAS. broke down exactly what's working for subscription apps on Meta rn spoiler: it's not the talking-head UGC that works for ecom 0:00 - Intro: The High-Leverage Skill of App Scaling 2:20 - Marcus Burke’s Background: Transitioning from Air Traffic Control to Mobile Gaming UA (2012–2019) 4:31 - The Evolution of Mobile Ads: Gaming vs. Subscription App Verticals 5:15 - Moving to Blinkist & Pioneering the Web-to-App Blog Funnel 6:56 - Why In-App Optimization (Onboarding, Paywalls) Dictates Upper-Funnel Meta Ad Success 7:55 - Why E-commerce D2C Talking-Head UGC Formats Fail for Subscription Apps 8:11 - Mitigating App Store Friction: Priming Users in the Creative to Protect Install Rates 9:08 - Case Study: Deconstructing a 1M+ Spend Creative Concept for Moongate 11:13 - Algorithmic Targeting: Using Hyper-Specific Ad Copy to Inform the Meta Algorithm 12:13 - The Reddit + Claude Research Workflow: Extracting Vivid Emotional Language Patterns 14:33 - Soft CTAs vs. Feature Demos: Deciding Where the True "Sale" Happens 16:49 - Funnel Architecture Breakdown: Web Advertorials vs. Direct App Store Installs 18:53 - Static Image Ad Delivery Constraints in App Promotion Campaigns 21:40 - Integrating Generative AI (GPT Image, Google Nano) to Control Creative Testing Variables 38:11 - Top-Level Variables for Performance Scale: Message, Media, Content Type, and Funnel 40:52 - Media Buying Analytics: Evaluating Placement Composition and Demographic Purchase Power 43:42 - Correcting Trial-to-Paid Conversion Disparities Using Meta Value Rules 52:11 - Account Structuring: Leveraging Multi-Ad Set Budgets to Force Spend Across Distinct Niches 55:30 - Capitalizing on Cultural Micro-Trends (ADHD, Toxic Attachments) in Mental Wellness Creatives

Joseph Choi

12,572 просмотров • 3 месяцев назад

Meta just dropped the biggest Ad Library update ever: you can now sort any brand's ads by highest impressions 🤯 Which means you can see exactly which competitor ads are getting the most views. Daniel ⛰️ from ACTIV said "if someone can create an AI scraper to review the top 10 ads every week, I'd pay for that." So I built it with Claude Code. Here's how it works: → Import any brand with their Ad Library URL → Apify scrapes their top-performing ads automatically → Click into any ad for full breakdown (headline, copy, CTA) → Gemini watches the video or analyzes the image → Returns asset type, visual format, messaging angle, hook tactic, offer type No manual research, no watching videos one by one, no messy spreadsheets. Here's what I built: - 50+ DTC brands already loaded (AG1, Caraway, Chomps, Dr. Squatch, Gruns, Jones Road, Magic Spoon, Ridge) - Weekly auto-scrape to refresh top ads - AI analysis on any ad in one click - Bookmark system to save winners - Filter by brand, category, media type, or AI tags Built 100% in Claude Code, hosted on Replit. I recorded a full step-by-step showing exactly how I built this. Want to build your own version? I'm giving away the prompts I used + the Claude Code starter template. To get access for free: > Like this post > Comment "META" And I'll send it over (must be following so I can DM)

Mike Futia

84,173 просмотров • 8 месяцев назад

I built an Agency Client Finder in Claude Code that finds DTC brands who need a creative agency, and writes the pitch for you 🤯 Drop in a niche → it scans the Meta Ad Library, finds brands that are spending on ads but running weak creative, and hands you a ranked prospect list with a tailored pitch for each. All inside Claude Code. Perfect for agencies who are great at the work but terrible at the pipeline. The hardest part of running an agency was never the creative, it's finding clients who actually need you AND have the budget to pay. So you cold-DM brands that ignore you, scrape LinkedIn for "Head of Growth" titles, and pitch brands that already have an agency or no budget at all. This finds the ones already raising their hand: → Drop in your niche (skincare, supplements, coffee, pet, men's grooming…) → It scans every brand running ads in the Meta Ad Library → Scores each one: spending on ads, but weak creative — low volume, stale, catalog-only, no video → Pulls their actual ad creatives and critiques them like a creative director → Looks up each brand's email + website so you can actually reach them → Hands you a ranked list with the evidence, a pitch, and the contact info No cold-list spray-and-pray. No pitching brands with no budget. No guessing who actually needs you. What you get: → A ranked list of brands spending on ads but starved for creative → Their real ads, with the exact creative gap named for each → A tailored pitch angle per brand — walk into the call with the evidence → Their actual email + website, so it's an outreach list, not a research list → Run it on any niche, any market, in minutes Built 100% in Claude Code, on the Meta Ad Library. I put together a step-by-step playbook showing you how to build this: the Ad Library scrape, the scoring, the whole pipeline. Want the playbook for free? > Like this post > Comment "CLIENTS" And I'll send it over (must be following so I can DM)

Mike Futia

23,086 просмотров • 3 месяцев назад