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2025 Ecommerce Data EXPOSED Sean Frank, Mike Beckham x Northbeam’s Austin Harrison - Full 2024 vs 2025 - Month by month - Billions in revenue - Spend by ad channel - Efficiency metrics - CVR, AOV, new vs returning - By industry + brand size Want the report? It’s... show more

Operators

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16,567 Aufrufe • vor 9 Monaten •via X (Twitter)

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I built this CEO dashboard for my client. And it changed how they run their entire business. 1/ Before this dashboard, they were making decisions in the dark. Revenue, profit, and marketing spend scattered across spreadsheets and platforms. - No single source of truth. - No real-time profit and loss visibility. - No way to see which channels were actually driving growth. 2/ Here’s what this dashboard delivers: Executive Overview: → $102K total revenue tracked live → $79.8K gross profit and 78% gross margin calculated automatically → 15% contribution margin, updated in real time → $5,880 revenue this week, always visible Profit & Loss Clarity: → Visual breakdown of revenue, COGS, transaction costs, and marketing spend → Instantly see contribution margin and where profit is made (or lost) Revenue & COGS by Type: → Instantly compare new vs. returning revenue and costs → Know exactly what’s driving growth and what’s eating margin Marketing Spend by Channel: → Compare Meta vs. Google spend → See which channel is delivering the best ROI Revenue vs. Marketing Spend Trends: → Visualize how every marketing dollar translates to revenue over time Conversion & Order Insights: → Track sessions, orders, conversion rates, AOV, MER, CPA, and more live Dark mode or light mode? → This dashboard looks stunning with these two options. No more squinting at numbers. Details are always crystal clear. 3/ The transformation was instant: Before: → Hours spent pulling numbers from different platforms → Guessing at profit and loss → No clarity on which channel was working After: → 10 minutes daily reviewing live insights → Real-time, data-driven decisions → Confident budget allocation and growth planning 4/ The business impact: → Faster decisions → Smarter optimizations → A client who finally feels in control of their numbers This isn’t just a dashboard. This is executive intelligence. Every metric tells a story. Every trend reveals an opportunity. Every insight drives profit. Want a dashboard that makes your business look (and run) like a million bucks? I build custom dashboards & AI automation systems that give you real-time clarity and control. - Real-time data - Predictive insights - Automated reporting - Intelligent alerts Ready to stop guessing? Like + Comment "CEO DASHBOARD" and I’ll DM you a free resource to help you track the top 5 metrics every CEO should monitor.

I built this CEO dashboard for my client. And it changed how they run their entire business. 1/ Before this dashboard, they were making decisions in the dark. Revenue, profit, and marketing spend scattered across spreadsheets and platforms. - No single source of truth. - No real-time profit and loss visibility. - No way to see which channels were actually driving growth. 2/ Here’s what this dashboard delivers: Executive Overview: → $102K total revenue tracked live → $79.8K gross profit and 78% gross margin calculated automatically → 15% contribution margin, updated in real time → $5,880 revenue this week, always visible Profit & Loss Clarity: → Visual breakdown of revenue, COGS, transaction costs, and marketing spend → Instantly see contribution margin and where profit is made (or lost) Revenue & COGS by Type: → Instantly compare new vs. returning revenue and costs → Know exactly what’s driving growth and what’s eating margin Marketing Spend by Channel: → Compare Meta vs. Google spend → See which channel is delivering the best ROI Revenue vs. Marketing Spend Trends: → Visualize how every marketing dollar translates to revenue over time Conversion & Order Insights: → Track sessions, orders, conversion rates, AOV, MER, CPA, and more live Dark mode or light mode? → This dashboard looks stunning with these two options. No more squinting at numbers. Details are always crystal clear. 3/ The transformation was instant: Before: → Hours spent pulling numbers from different platforms → Guessing at profit and loss → No clarity on which channel was working After: → 10 minutes daily reviewing live insights → Real-time, data-driven decisions → Confident budget allocation and growth planning 4/ The business impact: → Faster decisions → Smarter optimizations → A client who finally feels in control of their numbers This isn’t just a dashboard. This is executive intelligence. Every metric tells a story. Every trend reveals an opportunity. Every insight drives profit. Want a dashboard that makes your business look (and run) like a million bucks? I build custom dashboards & AI automation systems that give you real-time clarity and control. - Real-time data - Predictive insights - Automated reporting - Intelligent alerts Ready to stop guessing? Like + Comment "CEO DASHBOARD" and I’ll DM you a free resource to help you track the top 5 metrics every CEO should monitor.

Lian Lim | Dashboard & AI Automation Expert

115,974 Aufrufe • vor 1 Jahr

NEW report shows there have already been OVER 12,000 fires set by the homeless in Los Angeles so far this year - In 2025 data shows the homeless set 50 fires every day - 2026 data shows they are setting 47 fires every day There was another report done on the estimated cost of all these fires to taxpayers, the cost for 2024-2025 was estimated to be $215.3 million So taxpayers are paying hundreds of millions of dollars per year to deal with the fires being set by the homeless, hundreds of billions more per year spent on the homeless across all their programs and we also have the wildfire risks from all their fires We are being held hostage by the bottom 1% of society Why are we putting up with any of this. Cut off all funding. Mandatory treatments with results or the homeless should get zero dollars and no aid of any kind

NEW report shows there have already been OVER 12,000 fires set by the homeless in Los Angeles so far this year - In 2025 data shows the homeless set 50 fires every day - 2026 data shows they are setting 47 fires every day There was another report done on the estimated cost of all these fires to taxpayers, the cost for 2024-2025 was estimated to be $215.3 million So taxpayers are paying hundreds of millions of dollars per year to deal with the fires being set by the homeless, hundreds of billions more per year spent on the homeless across all their programs and we also have the wildfire risks from all their fires We are being held hostage by the bottom 1% of society Why are we putting up with any of this. Cut off all funding. Mandatory treatments with results or the homeless should get zero dollars and no aid of any kind

Wall Street Apes

41,600 Aufrufe • vor 3 Tagen

You’re following terrible advice: Incrementality tests Reach campaigns Upper-funnel events Useless for subscription rate - So you don’t lose money - Yeah, that one’s important - Bundle to fix low AOV - BOGO, GWP preserve margin - Frame free shipping as value - Sample if trial-dependent - Go hard on affiliates for retail - Anchored in organic “halo” - Awareness drives in-store - Align your creative to channel - Especially signal strategy - When you go up-funnel - Agency vs in-house debates - $50k/mo

You’re following terrible advice: Incrementality tests Reach campaigns Upper-funnel events Useless for subscription rate - So you don’t lose money - Yeah, that one’s important - Bundle to fix low AOV - BOGO, GWP preserve margin - Frame free shipping as value - Sample if trial-dependent - Go hard on affiliates for retail - Anchored in organic “halo” - Awareness drives in-store - Align your creative to channel - Especially signal strategy - When you go up-funnel - Agency vs in-house debates - $50k/mo

MarketingOperators

20,003 Aufrufe • vor 5 Monaten

NEW EP: Global Instability Is Fueling the Greatest Crypto Boom Yet with Arthur Hayes and Mike Silagadze The global financial tides are shifting. In today's episode, & @robbie_rollup are joined by Arthur Hayes of Maelstrom and Mike Silagadze🛡 of ether.fi for a conversation about: > Trump’s Pump Fake on China > Macro Indicators For BTC & Gold > ETH/BTC Discussion > etherfi's Cash Card > DeFi’s Return To Fundamentals Full episode links below. Timestamps: 00:00 Intro 00:54 Magic Ad 01:11 ETH vs. BTC 06:14 Trump Walks Back on Tariffs 10:37 Gold vs. Bitcoin 13:15 Treasury Buybacks 16:36 Fundamentals in Crypto 19:16 DeFi Revenue & Tokenomics 22:22 Outperforming BTC 30:03 Mantle Ad 30:44 Rise of etherFi Cash 32:40 M&A in Crypto 40:59 Arthur’s Market Predictions 45:06 Memecoins vs Traditional Tokens 48:12 etherFi GTM

NEW EP: Global Instability Is Fueling the Greatest Crypto Boom Yet with Arthur Hayes and Mike Silagadze The global financial tides are shifting. In today's episode, & @robbie_rollup are joined by Arthur Hayes of Maelstrom and Mike Silagadze🛡 of ether.fi for a conversation about: > Trump’s Pump Fake on China > Macro Indicators For BTC & Gold > ETH/BTC Discussion > etherfi's Cash Card > DeFi’s Return To Fundamentals Full episode links below. Timestamps: 00:00 Intro 00:54 Magic Ad 01:11 ETH vs. BTC 06:14 Trump Walks Back on Tariffs 10:37 Gold vs. Bitcoin 13:15 Treasury Buybacks 16:36 Fundamentals in Crypto 19:16 DeFi Revenue & Tokenomics 22:22 Outperforming BTC 30:03 Mantle Ad 30:44 Rise of etherFi Cash 32:40 M&A in Crypto 40:59 Arthur’s Market Predictions 45:06 Memecoins vs Traditional Tokens 48:12 etherFi GTM

The Rollup

129,504 Aufrufe • vor 1 Jahr

Why token launches fail: extractive pricing, poor liquidity, delayed price discovery. Austin Adams of Doppler joins our Stateful podcast, hosted by Mason Nystrom. In this episode, they discuss onchain capital markets and fixing token launches and IPOs: - 20% of 2025 token launches traded below issue price - Custom onchain markets: bundle price discovery and liquidity, launch in minutes - Coding moat is over. AI writes Solidity/Rust - Solo unicorns, micro-companies, permissionless experimentation 01:42 Custom Capital Markets Onchain 04:18 One Size Fits None: Why Token Launches Fail 07:26 Best Practices for TGEs 08:34 Deep Liquidity Pools vs. ICO Fundraising 10:23 Price Discovery: The Circle IPO Case Study 13:21 IPOs in the 70s vs. Today: What Changed? 16:57 On Chain Capital Formation: The Future of IPOs 20:29 Ethereum vs. Solana: Go Where Users Are 24:25 Context Is the New Moat: AI & Coding 27:59 What Asset Do You Wish Was Tokenized? 29:45 Founder Advice: One Good Thought a Month 31:21 Rethinking L2s & the Revenue Debate

Why token launches fail: extractive pricing, poor liquidity, delayed price discovery. Austin Adams of Doppler joins our Stateful podcast, hosted by Mason Nystrom. In this episode, they discuss onchain capital markets and fixing token launches and IPOs: - 20% of 2025 token launches traded below issue price - Custom onchain markets: bundle price discovery and liquidity, launch in minutes - Coding moat is over. AI writes Solidity/Rust - Solo unicorns, micro-companies, permissionless experimentation 01:42 Custom Capital Markets Onchain 04:18 One Size Fits None: Why Token Launches Fail 07:26 Best Practices for TGEs 08:34 Deep Liquidity Pools vs. ICO Fundraising 10:23 Price Discovery: The Circle IPO Case Study 13:21 IPOs in the 70s vs. Today: What Changed? 16:57 On Chain Capital Formation: The Future of IPOs 20:29 Ethereum vs. Solana: Go Where Users Are 24:25 Context Is the New Moat: AI & Coding 27:59 What Asset Do You Wish Was Tokenized? 29:45 Founder Advice: One Good Thought a Month 31:21 Rethinking L2s & the Revenue Debate

Pantera Capital

17,412 Aufrufe • vor 7 Monaten

Xiaomi delivered 550,000 vehicles in 20 months. And every single one uses Gigacasting. In 2020, Tesla pioneered Gigacasting. By 2024, Xiaomi was already in mass production - with self-developed alloys and now has 6 machines running at full capacity. But Xiaomi isn't alone. Here's what my database shows: → Xpeng launched 4 new Gigacast models in just 2 years → Seres (AITO) uses Gigacasting on ICE vehicles - not just EVs → Tesla still leads in process reduction, but Chinese OEMs are catching up fast I've built a side-by-side comparison of Tesla vs. three Chinese OEMs: Xpeng, Xiaomi, and Seres. It covers: - When each started Gigacasting and how they scaled - Machine sizes, suppliers, and production volumes - Design philosophy: why the castings are the way they are - Vertical integration vs. outsourcing tradeoffs This is the data behind the headlines. Want the Tesla vs China Gigacasting Comparison? 1. Connect with me 2. Comment "GIGA" below I'll send you the report. PS - Repost for priority access.

Xiaomi delivered 550,000 vehicles in 20 months. And every single one uses Gigacasting. In 2020, Tesla pioneered Gigacasting. By 2024, Xiaomi was already in mass production - with self-developed alloys and now has 6 machines running at full capacity. But Xiaomi isn't alone. Here's what my database shows: → Xpeng launched 4 new Gigacast models in just 2 years → Seres (AITO) uses Gigacasting on ICE vehicles - not just EVs → Tesla still leads in process reduction, but Chinese OEMs are catching up fast I've built a side-by-side comparison of Tesla vs. three Chinese OEMs: Xpeng, Xiaomi, and Seres. It covers: - When each started Gigacasting and how they scaled - Machine sizes, suppliers, and production volumes - Design philosophy: why the castings are the way they are - Vertical integration vs. outsourcing tradeoffs This is the data behind the headlines. Want the Tesla vs China Gigacasting Comparison? 1. Connect with me 2. Comment "GIGA" below I'll send you the report. PS - Repost for priority access.

Luca Greco

36,564 Aufrufe • vor 8 Monaten

WAREHOUSES THE SIZE OF A WALMART WITH 4,000 GPUS WERE EARNING $320K A MONTH MINING ETH, THE SAME RACKS NOW EARN $4M A MONTH RENTING TO AI STARTUPS ON VAST AI the warehouse in the clip is one of hundreds across the US, the operator at 6'6" tall for scale, electricity contracts and cooling already in place ethereum's merge in september 2022 killed gpu mining for everyone without a power plant, by 2025 alt coin mining was barely covering the electricity bill the same racks now host RTX 3090s and 4090s on vast ai, indie AI developers priced out of AWS rent them by the hour for inference and image generation a 4090 nets $500 to $1,000 a month renting to AI startups, the same card was clearing $80 to $150 mining, 4 to 7 times the revenue with zero new hardware core scientific, hut 8 and riot have all signed multi billion dollar AI hosting deals in 2025, the warehouses you scrolled past on tiktok are quietly becoming the inference backbone of every AI tool you use bookmark this and read the article below

WAREHOUSES THE SIZE OF A WALMART WITH 4,000 GPUS WERE EARNING $320K A MONTH MINING ETH, THE SAME RACKS NOW EARN $4M A MONTH RENTING TO AI STARTUPS ON VAST AI the warehouse in the clip is one of hundreds across the US, the operator at 6'6" tall for scale, electricity contracts and cooling already in place ethereum's merge in september 2022 killed gpu mining for everyone without a power plant, by 2025 alt coin mining was barely covering the electricity bill the same racks now host RTX 3090s and 4090s on vast ai, indie AI developers priced out of AWS rent them by the hour for inference and image generation a 4090 nets $500 to $1,000 a month renting to AI startups, the same card was clearing $80 to $150 mining, 4 to 7 times the revenue with zero new hardware core scientific, hut 8 and riot have all signed multi billion dollar AI hosting deals in 2025, the warehouses you scrolled past on tiktok are quietly becoming the inference backbone of every AI tool you use bookmark this and read the article below

starmex

428,240 Aufrufe • vor 3 Monaten

THIS IS ABSOLUTELY RIDICULOUS. OpenAI and Anthropic are losing money on every dollar they make. OpenAI generated $20 billion in revenue in 2025 and is projected to lose $14 billion in the same year. Internal forecasts project cumulative losses hitting $44 billion by 2028. The company's own CFO warned executives in April 2026 that OpenAI might struggle to finance upcoming computing deals if revenue growth slows. Anthropic reached $4.3 billion in annualized revenue in April 2026 against $19 billion in total costs. It spends $3 to make $1, and is not expected to stop burning cash until 2027. Now look at what these two companies have committed to spend. OpenAI and Anthropic together have committed $1.05 trillion in cloud spending to Microsoft, Oracle, Google and Amazon, making up 43 to 54% of each provider's entire future revenue backlog. - Microsoft: $627B total backlog. OpenAI and Anthropic account for 49%. - Oracle: $553B total backlog. OpenAI alone accounts for 54%. - Google: $467.6B total backlog. Anthropic accounts for 43%. - Amazon: $464B total backlog. OpenAI and Anthropic account for 51%. The entire cloud industry's future revenue is a bet on two companies losing billions every quarter. Microsoft, Alphabet, Meta and Amazon are collectively expected to spend $725 billion in capex in 2026, almost entirely on AI infrastructure. Combined hyperscaler capex from 2025 to 2027 is projected at $1.15 trillion, more than double what was spent from 2022 to 2024. What is the return on all of this? McKinsey's 2025 State of AI survey found that only a minority of companies reported AI meaningfully increased revenue or reduced costs. Enterprise generative AI spending grew from $1.7 billion in 2023 to $37 billion in 2025 and most CIOs still describe their initiatives as pilots without clear ROI metrics. Microsoft's AI business is running at a $37 billion annual revenue run rate with 123% year over year growth. That sounds impressive until you realize most of the capex funding is justified by expected future AI revenue rather than current AI profit. The internet burned money for years before it became the most profitable industry in history. But right now $1 trillion in committed cloud spend, $725 billion in annual capex, two loss-making customers making up half of every major cloud provider's revenue backlog, and the enterprises writing the checks cannot tell you if any of it is working.

THIS IS ABSOLUTELY RIDICULOUS. OpenAI and Anthropic are losing money on every dollar they make. OpenAI generated $20 billion in revenue in 2025 and is projected to lose $14 billion in the same year. Internal forecasts project cumulative losses hitting $44 billion by 2028. The company's own CFO warned executives in April 2026 that OpenAI might struggle to finance upcoming computing deals if revenue growth slows. Anthropic reached $4.3 billion in annualized revenue in April 2026 against $19 billion in total costs. It spends $3 to make $1, and is not expected to stop burning cash until 2027. Now look at what these two companies have committed to spend. OpenAI and Anthropic together have committed $1.05 trillion in cloud spending to Microsoft, Oracle, Google and Amazon, making up 43 to 54% of each provider's entire future revenue backlog. - Microsoft: $627B total backlog. OpenAI and Anthropic account for 49%. - Oracle: $553B total backlog. OpenAI alone accounts for 54%. - Google: $467.6B total backlog. Anthropic accounts for 43%. - Amazon: $464B total backlog. OpenAI and Anthropic account for 51%. The entire cloud industry's future revenue is a bet on two companies losing billions every quarter. Microsoft, Alphabet, Meta and Amazon are collectively expected to spend $725 billion in capex in 2026, almost entirely on AI infrastructure. Combined hyperscaler capex from 2025 to 2027 is projected at $1.15 trillion, more than double what was spent from 2022 to 2024. What is the return on all of this? McKinsey's 2025 State of AI survey found that only a minority of companies reported AI meaningfully increased revenue or reduced costs. Enterprise generative AI spending grew from $1.7 billion in 2023 to $37 billion in 2025 and most CIOs still describe their initiatives as pilots without clear ROI metrics. Microsoft's AI business is running at a $37 billion annual revenue run rate with 123% year over year growth. That sounds impressive until you realize most of the capex funding is justified by expected future AI revenue rather than current AI profit. The internet burned money for years before it became the most profitable industry in history. But right now $1 trillion in committed cloud spend, $725 billion in annual capex, two loss-making customers making up half of every major cloud provider's revenue backlog, and the enterprises writing the checks cannot tell you if any of it is working.

Crypto Rover

58,862 Aufrufe • vor 4 Monaten

FUNDA goes beyond an accurate $PLTR Preview. With FUNDA PLTR PLAY, you can explore all the PLTR data we track in one interactive experience—and see exactly how we’re thinking about the company. Introducing Palantir Monitor. $PLTR is being repriced as an AI infrastructure company, not a consulting shop. The question is whether the revenue models justify the multiple. Palantir Monitor tracks the signals that answer that question in real time. Government Revenue Models US government revenue against lagged federal obligation data and cascades international government revenue from customer count and domestic momentum. Forecast ranges update as new procurement signals arrive. This is the structural floor beneath the growth story. Commercial Model Decomposes commercial revenue by annual cohort, tracking new customer acquisition, initial contract values, and net expansion rates. Retention curves are segmented by era to capture the step-change in land-and-expand velocity since the AIP launch. Equity Structure Benchmarks ownership composition against enterprise software peers, tracking institutional, insider, and retail allocation over time. Trading behavior metrics surface how PLTR trades differently from its peer group in turnover, intraday range, and index correlation. Retail Sentiment Synthesizes directional retail signals into a monthly net stance with momentum tracking. Narrative themes are distilled by tone without exposing raw discussion text, providing a structured read on where retail conviction is concentrated. Events Maintains a structured catalog of government and commercial events from Q1 2025 onward, each tagged by segment and synthesized into thematic narratives. Surfaces directional shifts in the contract pipeline before they appear in quarterly filings. Available to all paid clients on our full-stack research platform. Start here:

FUNDA goes beyond an accurate $PLTR Preview. With FUNDA PLTR PLAY, you can explore all the PLTR data we track in one interactive experience—and see exactly how we’re thinking about the company. Introducing Palantir Monitor. $PLTR is being repriced as an AI infrastructure company, not a consulting shop. The question is whether the revenue models justify the multiple. Palantir Monitor tracks the signals that answer that question in real time. Government Revenue Models US government revenue against lagged federal obligation data and cascades international government revenue from customer count and domestic momentum. Forecast ranges update as new procurement signals arrive. This is the structural floor beneath the growth story. Commercial Model Decomposes commercial revenue by annual cohort, tracking new customer acquisition, initial contract values, and net expansion rates. Retention curves are segmented by era to capture the step-change in land-and-expand velocity since the AIP launch. Equity Structure Benchmarks ownership composition against enterprise software peers, tracking institutional, insider, and retail allocation over time. Trading behavior metrics surface how PLTR trades differently from its peer group in turnover, intraday range, and index correlation. Retail Sentiment Synthesizes directional retail signals into a monthly net stance with momentum tracking. Narrative themes are distilled by tone without exposing raw discussion text, providing a structured read on where retail conviction is concentrated. Events Maintains a structured catalog of government and commercial events from Q1 2025 onward, each tagged by segment and synthesized into thematic narratives. Surfaces directional shifts in the contract pipeline before they appear in quarterly filings. Available to all paid clients on our full-stack research platform. Start here:

FUNDA

14,011 Aufrufe • vor 2 Monaten

Today we’re introducing Heatmap Web Analytics! Let me guess… you’re frustrated with GA4, stuck setting up custom code, and getting delayed (often inaccurate) data? Miss good ol’ UA? Ecommerce friends, now you have it back and SO MUCH MORE. Here’s how: 1️⃣ 2 minutes to install, NO CUSTOM CODE. You shouldn’t need developers just to see your web analytics! Everything will work for you, out of the box, with a single copy-paste. I had my mom install it on a Shopify store to make sure it was easy lol. If she can do it, I believe in you! 2️⃣ Just the reports that matter You can get lost in the weeds of charts and tables, but Heatmap’s web analytics are just like UA. You have the most important charts, tables, and funnels with as many filters as you want. Fully customizable, and we’re guiding you right to your source of revenue loss. 3️⃣ AI that SLAPS HeatmapAI is KNOWN as one of the most powerful recommendation engines in the CRO space, and we had to double-down. It’s backed by trillions of datapoints and obnoxiously clear on exactly what you need to do to make more 💰 4️⃣ ZERO cookies or PII Heatmap proudly uses no cookies, abides by every bit of GDPR, and will likely be the most compliant software in your tech stack. We’re here for a decade, not for a year. Come join us. 5️⃣ Only $29 bucks a month! Yes… Our Web Analytics are $29/month, no matter how large your company is. Web analytics are a foundation for any successful Ecommerce business so we want to make sure you have them. We’ve got features 10x more powerful, but not 10x the price either. Start with Heatmap’s web analytics, fall in love, and we’ll grow together. We ship new features every month. GO SIGN UP! Heatmap .com orrrrr more fun??? If you’re still reading, I’ll take a minute to say hi 👋 I’m Dylan, the founder of Heatmap (dot) com. I recently built and sold one of the largest CRO agencies and optimized billions in Ecommerce revenue. I’m working like im 21 again (I’m not 😅) building Heatmap, because this data needs to be everywhere and accessible for the Ecommerce community. Every ecom brand growing in 2025 focuses on their website for growth. I personally invested 7-figures of my own money into this vision. Now we’re a rockstar team of 52. I’m the one who gets the pleasure of writing this tweet, but there’s 51 AMAZING, talented, dedicated team members who made this product release happen, even more than me. And if you’re STILL reading, you’re just awesome and I think we’re friends by now lol my DMs are open, I’m always happy to support, and GO SIGN UP! WEB ANALYTICS ARE BACK!!!

Dylan Ander | CRO & SplitTesting

43,076 Aufrufe • vor 1 Jahr

Obama and the Democrats wrecked our healthcare system and we’re the ones paying for it! “Obama made you buy health insurance, and Biden made you pay less—but only temporarily. And now, both parties are letting your premiums skyrocket in 2025. It’s not by accident; it’s a bribe.” “Biden’s discounts expire in 2025, and your bill goes up by 200%. Right now, if your premium is $600 a month, you pay $400 a month, and the government sends $200 straight to the insurance companies. That’s $24 billion a year in free money to big insurance.” “But in 2025, those discounts disappear, and your bill goes back to $600—or higher. Why? Because Democrats let it happen. They know, and they don’t care. They expanded these subsidies in 2021 temporarily—not to help you, but to buy votes in 2022 and 2024. Now the election is over, and your bill goes up—but their donors are still getting paid.” “Here’s the real thing that should piss you off: this isn’t about healthcare. It’s a cash pipeline to insurance companies. They lobby for subsidies, they donate to keep them coming, and when the subsidies expire, they blame the other side while raking in billions.” “Trump didn’t create this—Obama did. And Biden extended it—but only until after the election. Now they’re gridlocked because the real election is over. The real campaign is insurance companies versus you. They win, and you lose. They’re not fighting for you; the Democrats are fighting for their next campaign donation check from UnitedHealthcare, Pfizer, and Blue Cross.”

Obama and the Democrats wrecked our healthcare system and we’re the ones paying for it! “Obama made you buy health insurance, and Biden made you pay less—but only temporarily. And now, both parties are letting your premiums skyrocket in 2025. It’s not by accident; it’s a bribe.” “Biden’s discounts expire in 2025, and your bill goes up by 200%. Right now, if your premium is $600 a month, you pay $400 a month, and the government sends $200 straight to the insurance companies. That’s $24 billion a year in free money to big insurance.” “But in 2025, those discounts disappear, and your bill goes back to $600—or higher. Why? Because Democrats let it happen. They know, and they don’t care. They expanded these subsidies in 2021 temporarily—not to help you, but to buy votes in 2022 and 2024. Now the election is over, and your bill goes up—but their donors are still getting paid.” “Here’s the real thing that should piss you off: this isn’t about healthcare. It’s a cash pipeline to insurance companies. They lobby for subsidies, they donate to keep them coming, and when the subsidies expire, they blame the other side while raking in billions.” “Trump didn’t create this—Obama did. And Biden extended it—but only until after the election. Now they’re gridlocked because the real election is over. The real campaign is insurance companies versus you. They win, and you lose. They’re not fighting for you; the Democrats are fighting for their next campaign donation check from UnitedHealthcare, Pfizer, and Blue Cross.”

I Meme Therefore I Am 🇺🇸

69,421 Aufrufe • vor 11 Monaten

I just vibe coded a static ad generator in Claude Code that creates 100+ Facebook ads in minutes 🤯 All using the new insane ChatGPT Images 2.0 model. Upload one image of your brand or product → get 100+ brand-new ad concepts across every DR archetype, each one matched to a specific customer persona. Built 100% in Claude Code. Perfect for DTC brands and agencies who need to rapidly test mass creative statics at scale. Here's how it works: → Upload a single image of your brand or product → Add your brand kit (colors, fonts, logos) → Tool generates 10 customer personas from your brand research (Depleted Woman, Burned-Out Professional, Brain-Fogged Mom) → Pick how many concepts you want (40, 60, 100+) across archetypes — Bold Billboard, Listicle, iPhone Notes, iMessage, UI Hijack, Us vs Them, Press/Authority, Lo-Fi Sketch, UGC → Hit "Generate All" → finished ads render in seconds, each one targeting a specific persona with its own copy angle No more paying "static ad agencies" $3,000 per month. What you get: - 100+ on-brand static ads from a single product photo - Perfect product and text adherence powered by ChatGPT Images 2.0 - Persona-specific copy on every ad, no generic hooks - Iterate and scale statics in minutes instead of weeks - Reusable brand kits + persona libraries you build once and pull from forever - Every ad ships with the exact prompt and persona attached, so you can iterate instead of starting over. This is essentially a static ad agency in a box. I put together a complete playbook which includes EVERY single prompt I used to make this in Claude Code. Want all the prompts for free? > Like this post > Comment "STATICS" And I'll send it over (must be following so I can DM)

Mike Futia

111,676 Aufrufe • vor 5 Monaten

Four AI agents increased the net-profit for an e-commerce business I work with by $47,000 in the last 90 days. I'm not talking about basic automations. I'm talking about AI systems that: → Generate professional product photos in seconds (no photographer needed) → Steal your competitor's best-performing Facebook ads and recreate them → Create unlimited influencer content without shipping a single product → Find qualified leads on Twitter 24/7 and convert them automatically All running while I sleep. No employees. No overhead. Just pure profit. The problem? Most e-commerce owners are still paying photographers $2-5K/month, burning ad budgets on creative that flops, and spending thousands per influencer post. I've been testing these agents for 4 months. The numbers are insane: ✅ $10K+ saved annually on product photography alone ✅ Ad creative costs slashed by 50% ✅ 47 influencer ads generated for $3 in API calls (vs $14K traditional cost) ✅ $3K in revenue from completely free Twitter traffic These four agents handle product photography, ad creative, influencer content, and lead generation - work that used to cost $6K+/month in freelancers and agencies. The e-commerce stores deploying AI agents like these are about to eat everyone's lunch while others are still manually creating content and bleeding cash on ads. Want the exact n8n templates for all four agents? Like & RT this post Follow me (so I can dm you) Comment "PROFIT" below I'll send you the complete systems for free, plus links to my YouTube tutorials showing the step-by-step builds.

Four AI agents increased the net-profit for an e-commerce business I work with by $47,000 in the last 90 days. I'm not talking about basic automations. I'm talking about AI systems that: → Generate professional product photos in seconds (no photographer needed) → Steal your competitor's best-performing Facebook ads and recreate them → Create unlimited influencer content without shipping a single product → Find qualified leads on Twitter 24/7 and convert them automatically All running while I sleep. No employees. No overhead. Just pure profit. The problem? Most e-commerce owners are still paying photographers $2-5K/month, burning ad budgets on creative that flops, and spending thousands per influencer post. I've been testing these agents for 4 months. The numbers are insane: ✅ $10K+ saved annually on product photography alone ✅ Ad creative costs slashed by 50% ✅ 47 influencer ads generated for $3 in API calls (vs $14K traditional cost) ✅ $3K in revenue from completely free Twitter traffic These four agents handle product photography, ad creative, influencer content, and lead generation - work that used to cost $6K+/month in freelancers and agencies. The e-commerce stores deploying AI agents like these are about to eat everyone's lunch while others are still manually creating content and bleeding cash on ads. Want the exact n8n templates for all four agents? Like & RT this post Follow me (so I can dm you) Comment "PROFIT" below I'll send you the complete systems for free, plus links to my YouTube tutorials showing the step-by-step builds.

David Roberts

19,935 Aufrufe • vor 1 Jahr

the US government publishes a free dataset every tuesday at 8:30am that moves billions in markets i wrote 19 lines of python that reads it 0.8 seconds after publication last month: $67,200 every first friday the bureau of labor statistics drops the employment situation report nonfarm payrolls, unemployment rate, wage growth - the entire futures market moves within 2 seconds of publication most traders open the pdf and start reading. my bot already placed the trade the script is embarrassingly simple: → requests.get(' timeout=0.1) → to pull nonfarm payroll number → regex extracts the headline figure in 40ms → compares to consensus estimate from a free API → if delta > ±50K, alpaca fires a market order on SPY → entire roundtrip: 0.8 seconds august 2025 the bls site had "technical difficulties" right before release. my bot was polling every 100ms and caught the page the instant it resolved nonfarm came in at 22K vs 75K expected. qqq moved +0.51% in the pre-market. i was asleep the government publishes a schedule of every release date for the entire year. free rss feed, the bot reads it and sets its own alarm my bot noticed the revised 2025 shutdown release dates before cnbc even reported the delays 19 lines of python on my macbook. wall street spends billions on nanex nxcore feeds with 47 microsecond latency. i spend $0 and still catch the move before 99% of retail the next employment report drops mar 17. the bot is already waiting

the US government publishes a free dataset every tuesday at 8:30am that moves billions in markets i wrote 19 lines of python that reads it 0.8 seconds after publication last month: $67,200 every first friday the bureau of labor statistics drops the employment situation report nonfarm payrolls, unemployment rate, wage growth - the entire futures market moves within 2 seconds of publication most traders open the pdf and start reading. my bot already placed the trade the script is embarrassingly simple: → requests.get(' timeout=0.1) → to pull nonfarm payroll number → regex extracts the headline figure in 40ms → compares to consensus estimate from a free API → if delta > ±50K, alpaca fires a market order on SPY → entire roundtrip: 0.8 seconds august 2025 the bls site had "technical difficulties" right before release. my bot was polling every 100ms and caught the page the instant it resolved nonfarm came in at 22K vs 75K expected. qqq moved +0.51% in the pre-market. i was asleep the government publishes a schedule of every release date for the entire year. free rss feed, the bot reads it and sets its own alarm my bot noticed the revised 2025 shutdown release dates before cnbc even reported the delays 19 lines of python on my macbook. wall street spends billions on nanex nxcore feeds with 47 microsecond latency. i spend $0 and still catch the move before 99% of retail the next employment report drops mar 17. the bot is already waiting

Argona

107,690 Aufrufe • vor 7 Monaten

$HIMS| Adjustment on Growth toward 2030🧵 Not Financial Advice! FY2025: Revenue: $2.35B or 58% YoY (weightloss $740), Core $1.61B FY2026: Revenue $3.2B(36%) where weightloss may be down by 10-15% or flat. FY2027: Revenue $4.16B(30%) FY2028: Revenue: $5.2B(25%) FY2029 Revenue: $6.5B(25%) FY2030 Revenue: $8.12B(25%) I expect management to ramp up buyback from FCF generation while company is trading at under 2x P/S andrewdudum. The discontinuation of Hims & Hers' compounded oral semaglutide pill in early February 2026(after 2 days), prompted by FDA regulatory actions and legal pressures from Novo Nordisk, introduces near-term challenges to the weight loss segment but does not derail the company's broader growth trajectory, as it pivots aggressively toward diversification and high-potential expansions The weight loss category bolstered by liraglutide injectables, generic semaglutide in Canada, and non-GLP-1 personalized kits retains strong momentum, contributing approximately 31% of total revenue in 2025 and projected to grow at 15-20% annually through 2030, down from prior 60%+ rates but still adding $150-250 million yearly through cross-selling and retention. Offsetting this moderation are ambitious new expansions: international markets, now accounting for an initial 5-10% of revenue but scaling to 20% by 2030 via Canada entry (projected 10% growth contribution in 2026 from generic semaglutide and Livewell acquisition) and Europe/UK via Zava (adding 8-12% incremental growth through telehealth in Germany, France, and Ireland); diagnostics and labs, launched in late 2025 with Quest Diagnostics partnership and YourBio Health's pain-free blood sampling tech, offering 50-120 biomarker tests across heart, metabolism, hormones, inflammation, and stress, expected to generate 12-18% of total revenue by 2027 and ramp to a standalone $1 billion segment by 2030. Preventive care and longevity initiatives, set for full 2026 rollout including peptide manufacturing (via acquired U.S. facility, contributing 10-15% to growth through vertical integration and supply control), coenzymes, GLP/GIP blends for performance and recovery, and a $325 million Grail investment enabling multi-cancer early detection blood tests (projected to add 8-12% revenue uplift starting in 2026 by enhancing subscription retention); and hormone health expansions like menopause/perimenopause and low testosterone treatments, already driving 10% of 2025 growth and poised for 20-25% annual expansion through data-driven personalization. Multi-cancer early detection (MCED) blood testing via the Galleri® test from GRAIL in the prior breakdown, even though it was bundled under longevity/preventive care. This is a significant new offering launched on February 4, 2026, providing subscribers (via the Labs platform) access to a simple annual blood test that screens for signals shared by over 50 types of cancer (including hard-to-detect ones like pancreatic, liver, ovarian, and lung) before symptoms appear. Hims & Hers is offering it at a discounted ~$700 (vs. retail $949), following their participation in GRAIL's $325 million private placement investment in late 2025, which strengthens the partnership and positions this as a core pillar of proactive/longevity care. This could help push Average growth to 30-35% vs 28.2%(my above revised projection). These levers, combined with a subscriber base exceeding 2.5 million (up 31% YoY) and AI-enhanced platform efficiency under new CTO leadership, support an upward revision to growth rates targeting 22-25% CAGR from 2026-2030 to meet the company's $6.5 billion revenue goal, far outpacing prior conservative estimates of mid-teens expansion. This high-growth scenario assumes execution on global scaling, regulatory navigation (FDA approvals for compounded alternatives), and margin recovery to 74-78% via vertical integration, positioning Hims & Hers as a comprehensive digital health ecosystem rather than a GLP-1-dependent player, with potential upside from emerging trends like peptide demand (up 144% in Google searches) and proactive wellness adoption. Not Financial Advice!

$HIMS| Adjustment on Growth toward 2030🧵 Not Financial Advice! FY2025: Revenue: $2.35B or 58% YoY (weightloss $740), Core $1.61B FY2026: Revenue $3.2B(36%) where weightloss may be down by 10-15% or flat. FY2027: Revenue $4.16B(30%) FY2028: Revenue: $5.2B(25%) FY2029 Revenue: $6.5B(25%) FY2030 Revenue: $8.12B(25%) I expect management to ramp up buyback from FCF generation while company is trading at under 2x P/S andrewdudum. The discontinuation of Hims & Hers' compounded oral semaglutide pill in early February 2026(after 2 days), prompted by FDA regulatory actions and legal pressures from Novo Nordisk, introduces near-term challenges to the weight loss segment but does not derail the company's broader growth trajectory, as it pivots aggressively toward diversification and high-potential expansions The weight loss category bolstered by liraglutide injectables, generic semaglutide in Canada, and non-GLP-1 personalized kits retains strong momentum, contributing approximately 31% of total revenue in 2025 and projected to grow at 15-20% annually through 2030, down from prior 60%+ rates but still adding $150-250 million yearly through cross-selling and retention. Offsetting this moderation are ambitious new expansions: international markets, now accounting for an initial 5-10% of revenue but scaling to 20% by 2030 via Canada entry (projected 10% growth contribution in 2026 from generic semaglutide and Livewell acquisition) and Europe/UK via Zava (adding 8-12% incremental growth through telehealth in Germany, France, and Ireland); diagnostics and labs, launched in late 2025 with Quest Diagnostics partnership and YourBio Health's pain-free blood sampling tech, offering 50-120 biomarker tests across heart, metabolism, hormones, inflammation, and stress, expected to generate 12-18% of total revenue by 2027 and ramp to a standalone $1 billion segment by 2030. Preventive care and longevity initiatives, set for full 2026 rollout including peptide manufacturing (via acquired U.S. facility, contributing 10-15% to growth through vertical integration and supply control), coenzymes, GLP/GIP blends for performance and recovery, and a $325 million Grail investment enabling multi-cancer early detection blood tests (projected to add 8-12% revenue uplift starting in 2026 by enhancing subscription retention); and hormone health expansions like menopause/perimenopause and low testosterone treatments, already driving 10% of 2025 growth and poised for 20-25% annual expansion through data-driven personalization. Multi-cancer early detection (MCED) blood testing via the Galleri® test from GRAIL in the prior breakdown, even though it was bundled under longevity/preventive care. This is a significant new offering launched on February 4, 2026, providing subscribers (via the Labs platform) access to a simple annual blood test that screens for signals shared by over 50 types of cancer (including hard-to-detect ones like pancreatic, liver, ovarian, and lung) before symptoms appear. Hims & Hers is offering it at a discounted ~$700 (vs. retail $949), following their participation in GRAIL's $325 million private placement investment in late 2025, which strengthens the partnership and positions this as a core pillar of proactive/longevity care. This could help push Average growth to 30-35% vs 28.2%(my above revised projection). These levers, combined with a subscriber base exceeding 2.5 million (up 31% YoY) and AI-enhanced platform efficiency under new CTO leadership, support an upward revision to growth rates targeting 22-25% CAGR from 2026-2030 to meet the company's $6.5 billion revenue goal, far outpacing prior conservative estimates of mid-teens expansion. This high-growth scenario assumes execution on global scaling, regulatory navigation (FDA approvals for compounded alternatives), and margin recovery to 74-78% via vertical integration, positioning Hims & Hers as a comprehensive digital health ecosystem rather than a GLP-1-dependent player, with potential upside from emerging trends like peptide demand (up 144% in Google searches) and proactive wellness adoption. Not Financial Advice!

Mike

273,519 Aufrufe • vor 8 Monaten

This is CRAZY… Moby vs ChatGPT. I asked both: “Help me prepare for BFCM!" → ChatGPT: gave me theory. → Moby: gave me exact steps tied to my Shopify + ad data. ChatGPT said: • “Try new audiences” • “Test creatives” • “Monitor metrics” Moby said: • “Shift % of budget from Facebook to Google” • “Scale testing → increase spend weekly, not daily” • “Landing page X is down 59% WoW here’s the fix” • “Email automations + win-backs must be dialed before BFCM” The difference? One gives you homework. The other gives you the answers, personalized to your store. Here’s why that matters: Generic AI doesn’t know your blended ROAS, SKU margins, or why CAC spikes in peak season. Moby does because it’s trained on billions of commerce events and plugged into your real-time data. That’s why brands like Underoutfit avoided hiring 5 analysts. Moby is already doing the work. And right now, Triple Whale just launched BFCM Agents that optimize campaigns hour by hour during the biggest shopping week of the year. I’ll be testing Moby’s Google recommendations cautiously (my gut says Meta scales better), but this is exactly why I trust it heading into Q4. Want to build Ecom Agents like this? Try Moby at the link below: And yes, I'm a proud Triple Whale partner. PS: Want my complete BFCM optimization framework that generated these results? Comment "MOBY" and I'll send you the exact playbook.

This is CRAZY… Moby vs ChatGPT. I asked both: “Help me prepare for BFCM!" → ChatGPT: gave me theory. → Moby: gave me exact steps tied to my Shopify + ad data. ChatGPT said: • “Try new audiences” • “Test creatives” • “Monitor metrics” Moby said: • “Shift % of budget from Facebook to Google” • “Scale testing → increase spend weekly, not daily” • “Landing page X is down 59% WoW here’s the fix” • “Email automations + win-backs must be dialed before BFCM” The difference? One gives you homework. The other gives you the answers, personalized to your store. Here’s why that matters: Generic AI doesn’t know your blended ROAS, SKU margins, or why CAC spikes in peak season. Moby does because it’s trained on billions of commerce events and plugged into your real-time data. That’s why brands like Underoutfit avoided hiring 5 analysts. Moby is already doing the work. And right now, Triple Whale just launched BFCM Agents that optimize campaigns hour by hour during the biggest shopping week of the year. I’ll be testing Moby’s Google recommendations cautiously (my gut says Meta scales better), but this is exactly why I trust it heading into Q4. Want to build Ecom Agents like this? Try Moby at the link below: And yes, I'm a proud Triple Whale partner. PS: Want my complete BFCM optimization framework that generated these results? Comment "MOBY" and I'll send you the exact playbook.

Chris Lang

29,654 Aufrufe • vor 1 Jahr