Joe Polymath

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Joe Polymath

Joe Polymath

@thejoemando

your average furu

Texas Katılım Ağustos 2021
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Joe Polymath
Joe Polymath@thejoemando·
Bad advice is “don’t buy stocks at highs” - that’s like saying , don’t go with winners … it’s dumb logic . I used to do it. Realize that is a projection, Belief that rwhen things are good - something bad will Happen Yes that can happen , but why pick losers? Also don’t fall in love with a pick, change when you need to $spx $mu
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Joe Polymath
Joe Polymath@thejoemando·
@SMB_Attorney Retail is a business that lasts 3 years max when it’s good, you build it and sell it. If you stay in too long you always lose… he doesn’t care about competition, he’s already looking at the exit
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SMB Attorney
SMB Attorney@SMB_Attorney·
I can't wait to repost this with "told you so"
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SMB Attorney
SMB Attorney@SMB_Attorney·
Why on God's green earth would you allow the New York Times to do a profile on you bragging about your fat margins if you have nothing proprietary, no moat... zero way of stopping copy cats? Something's not adding up!
Jon Oringer@jonoringer

The NYT just profiled a $1.8B revenue company with 2 employees. Medvi is a telehealth GLP-1 provider built by Matthew Gallagher, 41, from his house in LA. He launched in September 2024 with $20,000. Here are the numbers: Month 1: 300 customers Month 2: 1,300 customers 2025 full year: $401M revenue, 250,000 customers 2026 run rate: $1.8B Net margin: 16.2% ($65M profit) Total employees: 2 (him and his brother) Outside funding: $0 How it works: Medvi is a front end. Two platforms — CareValidate and OpenLoop Health — handle doctors, prescriptions, pharmacies, shipping, and compliance. Gallagher handles brand, website, ads, checkout, and customer service. All built with AI. His stack: ChatGPT, Claude, and Grok for code. Midjourney and Runway for ad creative. ElevenLabs for voice. Custom AI agents to connect systems. AI chatbot for customer service (which initially hallucinated fake prices he had to honor). For comparison: Hims & Hers did $2.4B revenue last year with 2,442 employees and 5.5% net margins. Gallagher is running 3x the margin with a fraction of a percent of the headcount. Back into the unit economics: ~$336M in total costs, probably $160-200M to the telehealth platforms, leaving $130-170M mostly in marketing. Against 250,000 customers, that's a $500-700 CAC. High, but it works because his overhead is virtually zero and LTV at ~$200/month holds up. He's expanding fast. Men's health launched in February — 50K customers in month one. Meal delivery went live last month. Women's health, hair growth, supplements, and skincare are next. The vulnerability: zero moat. No proprietary tech, no doctor network, no pharmacy infrastructure. CareValidate or OpenLoop could raise fees or launch competing brands. Anyone could replicate this model in weeks. Right now, the margins are enormous for anyone who moves fast enough. The question is how long that window stays open. nytimes.com/2026/04/02/tec…

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Joe Polymath
Joe Polymath@thejoemando·
@SMB_Attorney Because he’s want to exit and just got his phone ringing off the hooks to get acquired
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Joe Polymath
Joe Polymath@thejoemando·
@AtwoodIan32412 What’s your take on this? Jeff Green’s last comments seem to be confident that closed systems are at risk of anti trust laws (Google)… I’m wondering if OpenAi thinking about that… where do you see TTD operating at in the Ai ad ecosystem?
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Ian Atwood
Ian Atwood@AtwoodIan32412·
If OpenAI goes through $TTD, Trade Desk gets a new premium supply source at the exact moment its CTV growth is decelerating and open-web display is under structural pressure from AI Overviews. That's not a ChatGPT story, but that's one hell of a $TTD story.
Eric Seufert@eric_seufert

x.com/i/article/2037…

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professionalCur
professionalCur@TomEhikian·
$APP $APPS $TTD $PUBM The moment their investors realize that advertising models and mediating platforms without owning the actual inventory and platform never had any intrinsic value
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Joe Polymath
Joe Polymath@thejoemando·
@rdd147 I’ve made around 2-3K off an app. Mailbox money. A little something coming in every month
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Joe Polymath
Joe Polymath@thejoemando·
Trumps negotiation strategy is bloody knuckles pretty much….
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Joe Polymath
Joe Polymath@thejoemando·
$App $415 cheap at 3.80 let’s see
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Joe Polymath retweetledi
Wccftech
Wccftech@wccftech·
Memory prices in China have plunged by over 30%, with mainland retailers describing the situation as a "price collapse." 🔗 wccf.tech/1k4vj
Wccftech tweet mediaWccftech tweet media
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AB
AB@AB84·
Without drugs... what is the greatest weapon against anxiety and depression?
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Joe Polymath
Joe Polymath@thejoemando·
@elonmusk @beffjezos In the beginning , there was the Word. Not the image… photons = data but the Word gives structure and meaning. You’ll get lots of IS but not OUGHTS…. AGI needs both. Data but the interpretation (modes of apprehension)
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Beff (e/acc)
Beff (e/acc)@beffjezos·
Elon is betting that shape rotator AGI will surpass wordcel AGI. Based, IMO.
Elon Musk@elonmusk

@xdNiBoR The future of AI is primarily video understanding and generation, because photons are by far the highest bandwidth form of communication. These are essential tools for AGI. Worth mentioning that Imagine is positive gross margin for @xAI, not a money loser.

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Guri Singh
Guri Singh@heygurisingh·
Humans: 100% Gemini 3.1 Pro: 0.37% GPT 5.4: 0.26% Opus 4.6: 0.25% Grok-4.20: 0.00% François Chollet just released ARC-AGI-3 -- the hardest AI test ever created. 135 novel game environments. No instructions. No rules. No goals given. Figure it out or fail. Untrained humans solved every single one. Every frontier AI model scored below 1%. Each environment was handcrafted by game designers. The AI gets dropped in and has to explore, discover what winning looks like, and adapt in real time. The scoring punishes brute force. If a human needs 10 actions and the AI needs 100, the AI doesn't get 10%. It gets 1%. You can't throw more compute at this. For context: ARC-AGI-1 is basically solved. Gemini scores 98% on it. ARC-AGI-2 went from 3% to 77% in under a year. Labs spent millions training on earlier versions. ARC-AGI-3 resets the entire scoreboard to near zero. The benchmark launched live at Y Combinator with a fireside between Chollet and Sam Altman. $2M in prizes on Kaggle. All winning solutions must be open-sourced. Scaling alone will not close this gap. We are nowhere near AGI. (Link in the comments)
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Roger
Roger@rdd147·
BestBuy just dumped prices on its Kingston DDR5 to keep up with MicroCenter. MicroCenter already cut GSkill 50% today. It’s becoming a price war in RAM 👀 $MU $SNDK
Roger tweet mediaRoger tweet media
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Joe Polymath
Joe Polymath@thejoemando·
Ai will make people realize there is God. You can’t have AGI without pre programmed modes of apprenshion…. Meaning isn’t discovered, it’s programmed….. it’s structure of reality which is why we can move forward without clear instructions unlike Ai. Ai has to have pre programmed modes of apprehension… Jung idea
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Joe Polymath
Joe Polymath@thejoemando·
@smarter411 Zerohedge last week said they have to buy 84 billion this month, in the 99% percentile all time
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