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Super hydrophobic coatings rule. SOFT99 Glaco Mirror Coat Zero, 40 ml

Ælectric Cybersolarfarmer

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20,846 просмотров • 2 месяцев назад •via X (Twitter)

Искусство Наука и технологии

Anya Rossi• Live Now

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HARRISON: MSNBC says maps should mirror vote percentages. So I pulled the numbers. CA: GOP is 40% of vote, gets 17% of seats MA: 35%, zero seats CT: 38%, zero seats NY: 42%, gets 26% MD: 38%, gets 12% NM: 44%, zero seats I could go on. They never complain when Democrats do it.

HARRISON: MSNBC says maps should mirror vote percentages. So I pulled the numbers. CA: GOP is 40% of vote, gets 17% of seats MA: 35%, zero seats CT: 38%, zero seats NY: 42%, gets 26% MD: 38%, gets 12% NM: 44%, zero seats I could go on. They never complain when Democrats do it.

Grace Chong, MBI

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These indie devs have made a fast paced shooter inspired by FPS games of the 2000s - You play as an enhanced super soldier - Reflect bullets and bend shots with items - Inspired by Marathon, Halo and more - More than 40 weapons - Y2K aesthetics Called SPRAWL zero

These indie devs have made a fast paced shooter inspired by FPS games of the 2000s - You play as an enhanced super soldier - Reflect bullets and bend shots with items - Inspired by Marathon, Halo and more - More than 40 weapons - Y2K aesthetics Called SPRAWL zero

Jake Lucky🔜 GAMESCOM

143,924 просмотров • 5 месяцев назад

Sean Fraser is asking the Supreme Court of Canada to rule on the Charter of Rights. The notwithstanding clause. ✅ It’s been in our Charter for over 40 years ✅ No Attorney General in Canadian history has ever asked the SCC to weigh in on its legitimacy ✅ The clause was deliberately included in 1982 as a democratic safeguard, allowing elected legislatures to override certain Charter rights for up to 5 years Zero debate in parliament. Zero public outreach. He’s triggering a constitutional crisis.

Sean Fraser is asking the Supreme Court of Canada to rule on the Charter of Rights. The notwithstanding clause. ✅ It’s been in our Charter for over 40 years ✅ No Attorney General in Canadian history has ever asked the SCC to weigh in on its legitimacy ✅ The clause was deliberately included in 1982 as a democratic safeguard, allowing elected legislatures to override certain Charter rights for up to 5 years Zero debate in parliament. Zero public outreach. He’s triggering a constitutional crisis.

Mario Zelaya

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Asked a friend how to turn my life around and he sent me this; "rule numero uno: There are no more zero days. What's a zero day? A zero day is when you don't do a single thing towards whatever dream or goal or want or whatever that you got going on. No more zeros. I'm not saying you gotta bust an essay out everyday, that's not the point. The point I'm trying to make is that you have to make yourself, promise yourself, that the new SYSTEM you live in is a NON-ZERO system. Didnt' do anything all day and it's 11:58 PM? Write one sentence. One pushup. Read one page of that chapter. One. Because one is non zero. You feel me? When you're in the super vortex of being bummed your pattern of behaviour is keeping the vortex goin, that's what you're used to. Turning into productivity ultimate master of the universe doesn't happen from the vortex. It happens from a massive string of CONSISTENT NON ZEROS. That's rule number one. Do not forget." ngl it really resonated with me

Asked a friend how to turn my life around and he sent me this; "rule numero uno: There are no more zero days. What's a zero day? A zero day is when you don't do a single thing towards whatever dream or goal or want or whatever that you got going on. No more zeros. I'm not saying you gotta bust an essay out everyday, that's not the point. The point I'm trying to make is that you have to make yourself, promise yourself, that the new SYSTEM you live in is a NON-ZERO system. Didnt' do anything all day and it's 11:58 PM? Write one sentence. One pushup. Read one page of that chapter. One. Because one is non zero. You feel me? When you're in the super vortex of being bummed your pattern of behaviour is keeping the vortex goin, that's what you're used to. Turning into productivity ultimate master of the universe doesn't happen from the vortex. It happens from a massive string of CONSISTENT NON ZEROS. That's rule number one. Do not forget." ngl it really resonated with me

daz

242,585 просмотров • 5 месяцев назад

$1.5M ARR in 2 weeks. Zero (human) teammates. Solo Founders Podcast is live with of Polsia, an AI that runs your company while you sleep. His solo founder rule: 80% AI, 20% taste. 0:00 — How "solo founder" has changed with AI 2:40 — Scoping and trusting AI agents to ship 5:30 — Cloud Kitchens with Travis Kalanick 9:52 — Mount Fuji: Where Polsia was born 13:55 — 80/20 rule: 80% AI, 20% taste 21:24 — Building for yourself, not imaginary customers 23:10 — The game that inspired Polsia 29:55 — Polsia as an economy: The bigger vision 40:59 — How Polsia actually works today 51:35 — Why not just build businesses yourself? 57:55 — Advice for new builders: Push AI to the edge

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weisser

525,736 просмотров • 5 месяцев назад

sneak-peek:🎈@partykit/react, the one framework to rule them all - Real-time React Server Components! - Keep business/rendering logic on the server, send UI over the wire in real-time - Zero API setup - one party per user, or per shared session, or even the whole world (scales to thousands of connections per instance) - Wire up your own reactive sources - Super fast "local" state, with ultra low latency syncing, powered by PartyKit - optional SSR / prerendering What would you build with this?

sneak-peek:🎈@partykit/react, the one framework to rule them all - Real-time React Server Components! - Keep business/rendering logic on the server, send UI over the wire in real-time - Zero API setup - one party per user, or per shared session, or even the whole world (scales to thousands of connections per instance) - Wire up your own reactive sources - Super fast "local" state, with ultra low latency syncing, powered by PartyKit - optional SSR / prerendering What would you build with this?

sunil pai

142,949 просмотров • 2 лет назад

#Bengals QB Joe Flacco was asked why he’s still playing at age 40 — after making so much money, winning a Super Bowl, and having a young family — and his answer was perfect: “You only get a chance to play in the NFL once. I feel like I’ve worked really hard to be a guy that gets to play in the NFL, and I don’t want to take that for granted. I still feel like I can play the game at a high level, and I want to be able to look at myself in the mirror when I’m 50 years old and say that I gave it everything I had.”

#Bengals QB Joe Flacco was asked why he’s still playing at age 40 — after making so much money, winning a Super Bowl, and having a young family — and his answer was perfect: “You only get a chance to play in the NFL once. I feel like I’ve worked really hard to be a guy that gets to play in the NFL, and I don’t want to take that for granted. I still feel like I can play the game at a high level, and I want to be able to look at myself in the mirror when I’m 50 years old and say that I gave it everything I had.”

Ari Meirov

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$10 MILLION FOR A USED HANDBAG - THE BIRKIN JUST BROKE REALITY Jane Birkin’s original Hermès bag just sold for $10 million. That’s not a typo. That’s one zero away from buying a private jet. For that kind of cash, you could’ve bought a Super Bowl ad, sent 123 students through Harvard Law, funded 5 indie films, scored an 80-acre island in St. Vincent, or booked 40 trips to space, and still have change for a decent tote. Instead? Someone paid it for a glorified purse with mileage. Fashion has officially entered its “eat the rich” era - and it’s monogrammed. Source: CNN

$10 MILLION FOR A USED HANDBAG - THE BIRKIN JUST BROKE REALITY Jane Birkin’s original Hermès bag just sold for $10 million. That’s not a typo. That’s one zero away from buying a private jet. For that kind of cash, you could’ve bought a Super Bowl ad, sent 123 students through Harvard Law, funded 5 indie films, scored an 80-acre island in St. Vincent, or booked 40 trips to space, and still have change for a decent tote. Instead? Someone paid it for a glorified purse with mileage. Fashion has officially entered its “eat the rich” era - and it’s monogrammed. Source: CNN

Mario Nawfal

42,721 просмотров • 1 год назад

Powerful: Bengals veteran QB Joe Flacco was asked why he’s still playing at age 40 after making so much money, winning a Super Bowl, and having a young family. “You only get a chance to play in the NFL once. I feel like I’ve worked really hard to be a guy that gets to play in the NFL, and I don’t want to take that for granted. I still feel like I can play the game at a high level, and I want to be able to look at myself in the mirror when I’m 50 years old and say that I gave it everything I had.” Wise words from the veteran QB 👏👏

Powerful: Bengals veteran QB Joe Flacco was asked why he’s still playing at age 40 after making so much money, winning a Super Bowl, and having a young family. “You only get a chance to play in the NFL once. I feel like I’ve worked really hard to be a guy that gets to play in the NFL, and I don’t want to take that for granted. I still feel like I can play the game at a high level, and I want to be able to look at myself in the mirror when I’m 50 years old and say that I gave it everything I had.” Wise words from the veteran QB 👏👏

Dov Kleiman

245,952 просмотров • 10 месяцев назад

WHERE THE ENTERPRISE AI STACK IS BEING BUILT 1. $PLTR building the orchestration layer of the AI economy through the control systems enterprises need before models can take real-world actions backed by a Rule of 40 score of 127 2. $CRWD, $PANW, $ZS & $RBRK building the security layer of the AI economy across endpoint, identity, Zero Trust & cyber recovery as every new agent, machine identity & AI-generated workflow expands the attack surface 3. $NET building the connectivity layer of the AI economy through the internet control plane that agents, APIs & inference traffic must move across in real time, with Cloudflare sitting behind over 20% of the web 4. $SNOW & $MDB building the data layer of the AI economy through the clean, structured, production-grade enterprise data systems that make AI usable inside real applications and workflows

WHERE THE ENTERPRISE AI STACK IS BEING BUILT 1. $PLTR building the orchestration layer of the AI economy through the control systems enterprises need before models can take real-world actions backed by a Rule of 40 score of 127 2. $CRWD, $PANW, $ZS & $RBRK building the security layer of the AI economy across endpoint, identity, Zero Trust & cyber recovery as every new agent, machine identity & AI-generated workflow expands the attack surface 3. $NET building the connectivity layer of the AI economy through the internet control plane that agents, APIs & inference traffic must move across in real time, with Cloudflare sitting behind over 20% of the web 4. $SNOW & $MDB building the data layer of the AI economy through the clean, structured, production-grade enterprise data systems that make AI usable inside real applications and workflows

Shay Boloor

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Victor Haghani helped build LTCM & watched it collapse — with winning trades still on the books. The lesson was never what to buy. It was how much. Victor Haghani (Co-founder @ LTCM | Founder @ Elm Wealth | Author of The Missing Billionaires) "It wasn't on the selection of the trades. It was on the sizing." We cover: - The two decisions every investor makes: what to own and how much, and why everyone fixates on the harder one - The biased-coin game that bankrupted Wall Street PMs and finance grads: a 60/40 edge handed to them, and they still blew up - Why the cost of risk is a fee you pay yourself, plus the napkin rule to price it (15% vol = 2.25% a year) - The Elon problem: 50% vol on your net worth means a ~90% chance of little left in 10 years, before anyone's even bearish - "The right answer to the wrong question," and why chasing billionaire money wrecks the plan - The crystal-ball game: hand someone tomorrow's WSJ front page and watch 1 in 6 still go bust - Claude, GPT, Gemini and Grok play the same game, and the two AIs that actually lost money - His 92-year-old mother, who day-trades every day and won't hear a word of it Highlights: 00:00 Right & ruined — the LTCM paradox 01:40 The two decisions: what to invest in vs. how much 02:50 The 60/40 coin & why max-EV bankrupts you 04:00 The experiment: PMs & PhDs sizing it all wrong 07:00 Kelly in plain English — a constant 10–20% 08:20 Why sizing isn't zero-sum, but beating the market is 10:30 Why even pros don't optimize sizing 12:50 The cost of risk is a fee — paid to yourself 15:20 Pricing your own risk: variance as the charge 16:30 Concentrated stock: 30% vol = a 9% toll 20:50 Elon, 50% vol & the log-normal trap 22:45 The right answer to the wrong question 23:35 The real objective: smooth lifetime spending & giving 27:35 The crystal-ball / WSJ front-page game 33:25 Claude, GPT, Gemini & Grok step up to trade 37:40 Claude's 66% hit rate — & the two AIs that lost money 40:35 Can anyone actually beat the market? 50:25 How much risk a young person should take 58:00 Estimating your human capital 1:02:40 The mom who won't stop day-trading 1:07:30 The one rule: if you don't save, nothing else matters

Victor Haghani helped build LTCM & watched it collapse — with winning trades still on the books. The lesson was never what to buy. It was how much. Victor Haghani (Co-founder @ LTCM | Founder @ Elm Wealth | Author of The Missing Billionaires) "It wasn't on the selection of the trades. It was on the sizing." We cover: - The two decisions every investor makes: what to own and how much, and why everyone fixates on the harder one - The biased-coin game that bankrupted Wall Street PMs and finance grads: a 60/40 edge handed to them, and they still blew up - Why the cost of risk is a fee you pay yourself, plus the napkin rule to price it (15% vol = 2.25% a year) - The Elon problem: 50% vol on your net worth means a ~90% chance of little left in 10 years, before anyone's even bearish - "The right answer to the wrong question," and why chasing billionaire money wrecks the plan - The crystal-ball game: hand someone tomorrow's WSJ front page and watch 1 in 6 still go bust - Claude, GPT, Gemini and Grok play the same game, and the two AIs that actually lost money - His 92-year-old mother, who day-trades every day and won't hear a word of it Highlights: 00:00 Right & ruined — the LTCM paradox 01:40 The two decisions: what to invest in vs. how much 02:50 The 60/40 coin & why max-EV bankrupts you 04:00 The experiment: PMs & PhDs sizing it all wrong 07:00 Kelly in plain English — a constant 10–20% 08:20 Why sizing isn't zero-sum, but beating the market is 10:30 Why even pros don't optimize sizing 12:50 The cost of risk is a fee — paid to yourself 15:20 Pricing your own risk: variance as the charge 16:30 Concentrated stock: 30% vol = a 9% toll 20:50 Elon, 50% vol & the log-normal trap 22:45 The right answer to the wrong question 23:35 The real objective: smooth lifetime spending & giving 27:35 The crystal-ball / WSJ front-page game 33:25 Claude, GPT, Gemini & Grok step up to trade 37:40 Claude's 66% hit rate — & the two AIs that lost money 40:35 Can anyone actually beat the market? 50:25 How much risk a young person should take 58:00 Estimating your human capital 1:02:40 The mom who won't stop day-trading 1:07:30 The one rule: if you don't save, nothing else matters

Ethan Kho

625,579 просмотров • 1 месяц назад

Many women hit the gym in neon but still radiate “do not disturb.” Bright colors don’t override headphones, resting gym face, zero eye contact, or laser-focus on the mirror. Those cues scream “I’m here to work, not socialize,” louder than any outfit. Yes, it’s a real trade-off for guys. The gym is their one peaceful hour—no drama, no performance, just iron and AirPods. Approaching you means risking rejection in front of 50 people, then awkwardness for the next 45 minutes of the same workout. Most decide it’s not worth it. Is it a deeper shift? 100%. Post-#MeToo + TikTok “gym creep” compilations, men assume any approach can be filmed and canceled. Dating apps give low-risk alternatives. Cold approaches at the gym have cratered—surveys show most single men under 40 simply won’t unless signals are blatant. Your bright colors are noticed. Add one small smile or quick “hi” next set and you’ll see the difference. Or accept most guys now wait for you to make the first move. Gotta go for what you want.

Many women hit the gym in neon but still radiate “do not disturb.” Bright colors don’t override headphones, resting gym face, zero eye contact, or laser-focus on the mirror. Those cues scream “I’m here to work, not socialize,” louder than any outfit. Yes, it’s a real trade-off for guys. The gym is their one peaceful hour—no drama, no performance, just iron and AirPods. Approaching you means risking rejection in front of 50 people, then awkwardness for the next 45 minutes of the same workout. Most decide it’s not worth it. Is it a deeper shift? 100%. Post-#MeToo + TikTok “gym creep” compilations, men assume any approach can be filmed and canceled. Dating apps give low-risk alternatives. Cold approaches at the gym have cratered—surveys show most single men under 40 simply won’t unless signals are blatant. Your bright colors are noticed. Add one small smile or quick “hi” next set and you’ll see the difference. Or accept most guys now wait for you to make the first move. Gotta go for what you want.

🚫👁️Drinks on Saturday🇺🇸

113,526 просмотров • 4 месяцев назад

🚨 DOCTOR DROPS TRUTH BOMB ON MAMMOGRAMS 🚨 “Data shows we are literally CAUSING breast cancer with screening.” Dr. Jay Goodbinder just went nuclear: - After 10 yearly mammograms → 50%+ chance of a false-positive that leads to biopsies & more radiation - Crushing breasts with 40+ lbs of force + radiation can rupture cysts/tumors and spread cells - Cochrane Collaboration: For every 2,000 women screened over 10 years, only ~1 life saved… but up to 10 healthy women over-treated + 8–9 eventually die from radiation-induced cancers - A major study (JNCI) found careful breast exams alone reduce mortality JUST AS MUCH as mammograms in women 50+ Is “early detection” worth becoming the statistic? Safer, zero-radiation alternatives exist RIGHT NOW: ✅ Thermography ✅ QT Ultrasound (no compression, better accuracy) ✅ MRI for high-risk True prevention? Cancer is metabolic: → Keto/low-carb (starves tumors) → Ditch seed oils, sugar, processed junk → Fasting → autophagy cleanup → Vitamin D >70 ng/mL (cuts risk dramatically) → Avoid synthetic birth control hormones Watch the full breakdown 👇 Tag every woman you love. They deserve to know. #Mammogram #BreastCancer #WomensHealth #CancerPrevention #Keto

🚨 DOCTOR DROPS TRUTH BOMB ON MAMMOGRAMS 🚨 “Data shows we are literally CAUSING breast cancer with screening.” Dr. Jay Goodbinder just went nuclear: - After 10 yearly mammograms → 50%+ chance of a false-positive that leads to biopsies & more radiation - Crushing breasts with 40+ lbs of force + radiation can rupture cysts/tumors and spread cells - Cochrane Collaboration: For every 2,000 women screened over 10 years, only ~1 life saved… but up to 10 healthy women over-treated + 8–9 eventually die from radiation-induced cancers - A major study (JNCI) found careful breast exams alone reduce mortality JUST AS MUCH as mammograms in women 50+ Is “early detection” worth becoming the statistic? Safer, zero-radiation alternatives exist RIGHT NOW: ✅ Thermography ✅ QT Ultrasound (no compression, better accuracy) ✅ MRI for high-risk True prevention? Cancer is metabolic: → Keto/low-carb (starves tumors) → Ditch seed oils, sugar, processed junk → Fasting → autophagy cleanup → Vitamin D >70 ng/mL (cuts risk dramatically) → Avoid synthetic birth control hormones Watch the full breakdown 👇 Tag every woman you love. They deserve to know. #Mammogram #BreastCancer #WomensHealth #CancerPrevention #Keto

Valerie Anne Smith

3,644,278 просмотров • 8 месяцев назад

How to build a beloved AI product, with Granola CEO Chris Pedregal Granola is the rare AI startup that slipped into a very crowded niche — meeting notes — and still managed to become the product founders (and VCs!) rave about. Plenty of product lessons in this episode. 00:00 - Introduction: The Granola Story 01:41 - Building a "Life-Changing" Product 04:31 - The "Second Brain" Vision 06:28 - Augmentation Philosophy (Engelbart), Tools That Shape Us 09:02 - Late to a Crowded Market: Why it Worked 13:43 - Two Product Founders, Zero ML PhDs 16:01 - London vs. SF: Building Outside the Valley 19:51 - One Year in Stealth: Learning Before Launch 22:40 - "Building For Us" & Finding First Users 25:41 - Key Design Choices: No Meeting Bot, No Stored Audio 29:24 - Simplicity is Hard: Cutting 50% of Features 32:54 - Intuition vs. Data in Making Product Decisions 36:25 - Continuous User Conversations: 4-6 Calls/Week 38:06 - Prioritizing the Future: Build for Tomorrow's Workflows 40:17 - Tech Stack Tour: Model Routing & Evals 42:29 - Context Windows, Costs & Inference Economics 45:03 - Audio Stack: Transcription, Noise Cancellation & Diarization Limits 48:27 - Guardrails & Citations: Building Trust in AI 50:00 - Growth Loops Without Virality Hacks 54:54 - Enterprise Compliance, Data Footprint & Liability Risk 57:07 - Retention & Habit Formation: The "500 Millisecond Window" 58:43 - Competing with OpenAI and Legacy Suites 1:01:27 - The Future: Deep Research Across Meetings & Roadmap 1:04:41 - Granola as Career Coach?

How to build a beloved AI product, with Granola CEO Chris Pedregal Granola is the rare AI startup that slipped into a very crowded niche — meeting notes — and still managed to become the product founders (and VCs!) rave about. Plenty of product lessons in this episode. 00:00 - Introduction: The Granola Story 01:41 - Building a "Life-Changing" Product 04:31 - The "Second Brain" Vision 06:28 - Augmentation Philosophy (Engelbart), Tools That Shape Us 09:02 - Late to a Crowded Market: Why it Worked 13:43 - Two Product Founders, Zero ML PhDs 16:01 - London vs. SF: Building Outside the Valley 19:51 - One Year in Stealth: Learning Before Launch 22:40 - "Building For Us" & Finding First Users 25:41 - Key Design Choices: No Meeting Bot, No Stored Audio 29:24 - Simplicity is Hard: Cutting 50% of Features 32:54 - Intuition vs. Data in Making Product Decisions 36:25 - Continuous User Conversations: 4-6 Calls/Week 38:06 - Prioritizing the Future: Build for Tomorrow's Workflows 40:17 - Tech Stack Tour: Model Routing & Evals 42:29 - Context Windows, Costs & Inference Economics 45:03 - Audio Stack: Transcription, Noise Cancellation & Diarization Limits 48:27 - Guardrails & Citations: Building Trust in AI 50:00 - Growth Loops Without Virality Hacks 54:54 - Enterprise Compliance, Data Footprint & Liability Risk 57:07 - Retention & Habit Formation: The "500 Millisecond Window" 58:43 - Competing with OpenAI and Legacy Suites 1:01:27 - The Future: Deep Research Across Meetings & Roadmap 1:04:41 - Granola as Career Coach?

Matt Turck

32,002 просмотров • 11 месяцев назад

My uncle told me to get a real job instead of "playing with crypto" He's been at the same company for 14 years. I didn't argue. I showed him my screen without saying a word. He read the numbers twice. "That's fake" 30 days. $300 in. $24,200 out. 73% win rate. He looked up. "What is this" 86 million on-chain trades. Every wallet that ever touched Polymarket. All public. One Claude prompt. 14,000 wallets ranked by profit. 4 minutes. 47 targets returned. Top 20 made more than the bottom 13,000 combined. "That's a cheat code" 73 terminal screens. Whale tracking. Insider detection. Cross-platform arb vs Kalshi. Wash trade detection. Never touches your keys. ML catches fresh wallets entering low-liquidity markets before anything moves. January: flagged a wallet that turned $35K into $442K before the event resolved. Three agents. No shared memory. Two agree - full size. One alone - half. Disagree - no trade. One rule. 40% fewer losing trades overnight. "How much does all this cost" $25 a month. He's been at the same desk for 14 years. Same salary. Same commute. Same everything. Didn't say anything for a while. "I've been doing it wrong this whole time" Maybe. Everything is public. Everything is free. The only thing that costs you is waiting.

My uncle told me to get a real job instead of "playing with crypto" He's been at the same company for 14 years. I didn't argue. I showed him my screen without saying a word. He read the numbers twice. "That's fake" 30 days. $300 in. $24,200 out. 73% win rate. He looked up. "What is this" 86 million on-chain trades. Every wallet that ever touched Polymarket. All public. One Claude prompt. 14,000 wallets ranked by profit. 4 minutes. 47 targets returned. Top 20 made more than the bottom 13,000 combined. "That's a cheat code" 73 terminal screens. Whale tracking. Insider detection. Cross-platform arb vs Kalshi. Wash trade detection. Never touches your keys. ML catches fresh wallets entering low-liquidity markets before anything moves. January: flagged a wallet that turned $35K into $442K before the event resolved. Three agents. No shared memory. Two agree - full size. One alone - half. Disagree - no trade. One rule. 40% fewer losing trades overnight. "How much does all this cost" $25 a month. He's been at the same desk for 14 years. Same salary. Same commute. Same everything. Didn't say anything for a while. "I've been doing it wrong this whole time" Maybe. Everything is public. Everything is free. The only thing that costs you is waiting.

Trackmind

10,360 просмотров • 2 месяцев назад

This podcast is a special one. Based Show presents fiddy.dime - priv/acc 🦡 [founder of Paradigm Paradex ] We unpack the journey of building The Defi Super App The vision, the mission, the relentlessness, the execution. The man is a warrior ! Timestamps: 0:00 : Raw backstory & origin of the persona 2:19 : Attraction to fringe culture & diverse upbringing 4:24 : Gaming as first love 4:57 : Parents vs passion (traditional Indian household 7:02 : Music, DJing & creative experimentation 8:46 : Reality check – passion vs financial reality in India 9:45 : Entrepreneurial family background 11:04 : Falling in love with finance (first MBA finance class) 12:31 : Curiosity for misunderstood & fringe systems 14:03 : First job in finance (quant → trading desk) 17:16 : Bitcoin whitepaper moment 20:05 : Machine learning & exposure to new models 22:20 : Discovering broken systems in commodities trading 26:33 : Trading floor feels like a LAN party 28:43 : First automation breakthrough (15 min → seconds) 30:45 : “You should build a company” realization 31:18 : Immigrant founder constraint (visa risk) 33:22 : Forced delay becomes strategic advantage 34:40 : Biggest milestone – overcoming immigration 37:43 : Founder psychology (war with your own mind) 39:03 : Paradigm growth & institutional dominance 41:01 : Why Paradex exists (dependencies kill companies) 42:54 : FTX collapse & darkest period 46:38 : Choosing the fight instead of quitting 51:30 : Transition from survival → long-term vision 55:38 : DeFi super center framework (financial mega-cities analogy) 57:26 : Privacy as non-negotiable 59:54 : PRISM revealed (alpha moment) 1:02:50 : Toxic vs non-toxic flow explained 1:06:22 : Why ZK > L1 > Optimistic rollups 1:09:54 : Zero fees ≠ zero revenue 1:12:50 : Revenue increased after zero fees 1:16:09 : Real competition isn’t other DEXs (TradFi is the enemy) 1:20:05 : Infrastructure vs consumer apps (liquidity infrastructure thesis) 1:21:00 : “Trade anything, with anyone, settle instantly” A vision 1:22:48 : Why this vision is brutally hard & requires suffering 1:25:11 : Team size reveal 1:27:36 : Flat org structure (no managers, 2 meetings/week) 1:29:11 : Brutal hiring funnel (530 → 6 → 3 hires) 1:32:03 : Determination > pedigree (why degrees don’t matter) 1:34:32 : Family influence & father’s story 1:37:08 : Meritocracy, empathy & values 1:38:48 : Becoming a father & legacy mindset 1:40:46 : TGE delay, farming accusations & retention-first logic 1:43:51 : Tokenomics, alignment & governance pillars 1:47:54 : Biggest fear – not reaching full potential 1:49:30 : Closing remarks & outro

This podcast is a special one. Based Show presents fiddy.dime - priv/acc 🦡 [founder of Paradigm Paradex ] We unpack the journey of building The Defi Super App The vision, the mission, the relentlessness, the execution. The man is a warrior ! Timestamps: 0:00 : Raw backstory & origin of the persona 2:19 : Attraction to fringe culture & diverse upbringing 4:24 : Gaming as first love 4:57 : Parents vs passion (traditional Indian household 7:02 : Music, DJing & creative experimentation 8:46 : Reality check – passion vs financial reality in India 9:45 : Entrepreneurial family background 11:04 : Falling in love with finance (first MBA finance class) 12:31 : Curiosity for misunderstood & fringe systems 14:03 : First job in finance (quant → trading desk) 17:16 : Bitcoin whitepaper moment 20:05 : Machine learning & exposure to new models 22:20 : Discovering broken systems in commodities trading 26:33 : Trading floor feels like a LAN party 28:43 : First automation breakthrough (15 min → seconds) 30:45 : “You should build a company” realization 31:18 : Immigrant founder constraint (visa risk) 33:22 : Forced delay becomes strategic advantage 34:40 : Biggest milestone – overcoming immigration 37:43 : Founder psychology (war with your own mind) 39:03 : Paradigm growth & institutional dominance 41:01 : Why Paradex exists (dependencies kill companies) 42:54 : FTX collapse & darkest period 46:38 : Choosing the fight instead of quitting 51:30 : Transition from survival → long-term vision 55:38 : DeFi super center framework (financial mega-cities analogy) 57:26 : Privacy as non-negotiable 59:54 : PRISM revealed (alpha moment) 1:02:50 : Toxic vs non-toxic flow explained 1:06:22 : Why ZK > L1 > Optimistic rollups 1:09:54 : Zero fees ≠ zero revenue 1:12:50 : Revenue increased after zero fees 1:16:09 : Real competition isn’t other DEXs (TradFi is the enemy) 1:20:05 : Infrastructure vs consumer apps (liquidity infrastructure thesis) 1:21:00 : “Trade anything, with anyone, settle instantly” A vision 1:22:48 : Why this vision is brutally hard & requires suffering 1:25:11 : Team size reveal 1:27:36 : Flat org structure (no managers, 2 meetings/week) 1:29:11 : Brutal hiring funnel (530 → 6 → 3 hires) 1:32:03 : Determination > pedigree (why degrees don’t matter) 1:34:32 : Family influence & father’s story 1:37:08 : Meritocracy, empathy & values 1:38:48 : Becoming a father & legacy mindset 1:40:46 : TGE delay, farming accusations & retention-first logic 1:43:51 : Tokenomics, alignment & governance pillars 1:47:54 : Biggest fear – not reaching full potential 1:49:30 : Closing remarks & outro

Sahib

40,750 просмотров • 7 месяцев назад

Brayden "Star" Burries (2.0) Off Comp: Nickeil Alexander Walker (Shades Devin Booker) Pros (percentile per 40): -3 Level Scorer (76th 3PM, 86th MidM, 71th RimM) -Efficient Shooter (87th TS%, 86th 3P%, 70th NonD Rim%) -Connective Playmaker (74th Ast, 48th Ast/To) -Perimeter Def (87th Steal, 93th Stops) -Low Usage (77th Usg) Cons: -Wingspan (11th) -Age (20) Efficient Shooter with good Rim touch. Identical Midrange & applies more Rim pressure than Booker (71th RimM vs Booker's 54th RimM). Arizona was 10th in 3PM (Per 40), which makes Burries shooting even more impressive - given the Team's lack of shooting style. Absurd shot chart by Burries, green everywhere. Low Deep 3 Rate (13%), he is super accurate 41+ %, insane. Brayden Burries is a PRA beast, 2 way player, 3 level scorer - on good Shooting/Playmaking efficiency and low usage. Very rare to see a Guard with little to no holes in his game. I originally had Burries at 9th but have since moved him up to 5-7th on my board. I think Burries is a star hidden in plain sight - one that we will look back at in a few years and ask how did we not see it. I wouldn't rule out a world Burries is top 2, best Guards in this draft. I really do hate making these types of bold claims - but this really is such a elite Draft Class and Burries still stands out.

Brayden "Star" Burries (2.0) Off Comp: Nickeil Alexander Walker (Shades Devin Booker) Pros (percentile per 40): -3 Level Scorer (76th 3PM, 86th MidM, 71th RimM) -Efficient Shooter (87th TS%, 86th 3P%, 70th NonD Rim%) -Connective Playmaker (74th Ast, 48th Ast/To) -Perimeter Def (87th Steal, 93th Stops) -Low Usage (77th Usg) Cons: -Wingspan (11th) -Age (20) Efficient Shooter with good Rim touch. Identical Midrange & applies more Rim pressure than Booker (71th RimM vs Booker's 54th RimM). Arizona was 10th in 3PM (Per 40), which makes Burries shooting even more impressive - given the Team's lack of shooting style. Absurd shot chart by Burries, green everywhere. Low Deep 3 Rate (13%), he is super accurate 41+ %, insane. Brayden Burries is a PRA beast, 2 way player, 3 level scorer - on good Shooting/Playmaking efficiency and low usage. Very rare to see a Guard with little to no holes in his game. I originally had Burries at 9th but have since moved him up to 5-7th on my board. I think Burries is a star hidden in plain sight - one that we will look back at in a few years and ask how did we not see it. I wouldn't rule out a world Burries is top 2, best Guards in this draft. I really do hate making these types of bold claims - but this really is such a elite Draft Class and Burries still stands out.

DraftCasual (Quan)

13,967 просмотров • 2 месяцев назад

Ran into a Chinese ML researcher at a rooftop bar in Hudson Yards last Saturday. DeepMind badge half-tucked in his pocket. Two glasses of baijiu in. Tie already loose. He glanced at my laptop. “Polymarket?” “Yeah.” “Running it on Opus 4.7?” I nodded. He pulled up a stool without asking. Copytrade “I ran internal evals on 4.7 last month. Best reasoning model we’ve seen on adversarial time-series. It finds signal faster than our quants. Legal shuts it down every time before it touches real money.” I turned my screen. 86M trades. Public dataset. Almost no one uses it. 14,000 wallets in → 9 out. Filter: 40–200 trades 74%+ winrate 100K. 5 minutes. He leaned closer. “How do you enter?” “Each wallet has a domain. Crypto, politics, sports. I only copy inside its zone.” He smiled. “Domain conditioning. We published that. No one ships it retail.” “I did.” 86M trades. Public dataset 4 Python scripts. Claude wrote most of it over a weekend. Execution: — 21 min delay — bet size = signal — $900 baseline, $1,600 = ~1.8σ → size up Exit: — mirror source — take ~74% of max — cut if <3% after 18h 31 days: Sharpe 2.67 453 trades 81.7% WR $600 → +$41,985 He set his glass down. “4.7 on this data is a weapon. Most people write essays with it. You built a printer.” Pause. “Rerun your filter every 7 days. Wallet sets rotate.” He stood up. “If anyone asks, we never spoke.” “Of course.” He smiled. “Good answer.”

Ran into a Chinese ML researcher at a rooftop bar in Hudson Yards last Saturday. DeepMind badge half-tucked in his pocket. Two glasses of baijiu in. Tie already loose. He glanced at my laptop. “Polymarket?” “Yeah.” “Running it on Opus 4.7?” I nodded. He pulled up a stool without asking. Copytrade “I ran internal evals on 4.7 last month. Best reasoning model we’ve seen on adversarial time-series. It finds signal faster than our quants. Legal shuts it down every time before it touches real money.” I turned my screen. 86M trades. Public dataset. Almost no one uses it. 14,000 wallets in → 9 out. Filter: 40–200 trades 74%+ winrate 100K. 5 minutes. He leaned closer. “How do you enter?” “Each wallet has a domain. Crypto, politics, sports. I only copy inside its zone.” He smiled. “Domain conditioning. We published that. No one ships it retail.” “I did.” 86M trades. Public dataset 4 Python scripts. Claude wrote most of it over a weekend. Execution: — 21 min delay — bet size = signal — $900 baseline, $1,600 = ~1.8σ → size up Exit: — mirror source — take ~74% of max — cut if <3% after 18h 31 days: Sharpe 2.67 453 trades 81.7% WR $600 → +$41,985 He set his glass down. “4.7 on this data is a weapon. Most people write essays with it. You built a printer.” Pause. “Rerun your filter every 7 days. Wallet sets rotate.” He stood up. “If anyone asks, we never spoke.” “Of course.” He smiled. “Good answer.”

Discover

23,073 просмотров • 3 месяцев назад

The new Huberman Lab episode is out: Using Existing Drugs in New Ways to Treat & Cure Diseases of Brain & Body | Dr. David Fajgenbaum (David Fajgenbaum, MD) 0:00 David Fajgenbaum 4:06 Self-Agency in Healthcare; New Uses for Old Medicines 6:44 Other Uses of Aspirin & Viagra; Drug Development & Approved Use 8:53 Lidocaine & Breast Cancer; Pharmaceutical Companies & Incentives 11:36 Sponsors: Eight Sleep & Rorra 14:16 Pharmaceutical Companies, Patents & New Uses; Lithium 18:40 Tools: Finding Reliable Health Sources, Asking Questions & Disease Organizations; DADA2 Treatment 21:53 Medical Community & Connections; Integrated Medical Databases 24:36 Drug Repurposing, Thalidomide, Pembrolizumab 28:45 Medical Research Databases, Mapping Disease Connections 33:51 Every Cure Database & Programs, Bachmann-Bupp Syndrome; Colchicine & Heart Disease 37:57 Sponsors: AGZ by AG1 & David 40:41 David's Medical & Career Journey, Glioblastoma, Castleman Disease 49:10 Autoimmune Disease, Driven Personality, Stress & Immune System 52:52 Castleman Disease, Treatment, Chemotherapy 55:54 Physician Continuing Education, Santa Claus Theory of Civilization; Science Collaboration 1:03:32 Medical School, Relapse & "Overtime", Finding a New Treatment, Rapamycin 1:12:46 Sport, Football & Resilience; Challenge & Personal Growth, Family 1:18:41 Sponsor: Function 1:20:29 Social Support; "Overtime", Gratitude 1:23:19 Business School, Castleman Disease Treatment; Repurposing Drugs & AI 1:28:29 Drug Repurposing, POEMS Syndrome; Mitigating Risk 1:35:32 Nicotine, Compounds for Preventive Health; GLP-1 Agonists 1:40:51 Bioprospecting, Drug Development; AI, Prioritization & Novel Connections 1:46:18 Healthcare & Children; Hope, Action & Impact Circuit; Challenge & Super-Agers 1:52:50 Get Involved with Every Cure 1:56:20 Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter Includes paid partnerships.

The new Huberman Lab episode is out: Using Existing Drugs in New Ways to Treat & Cure Diseases of Brain & Body | Dr. David Fajgenbaum (David Fajgenbaum, MD) 0:00 David Fajgenbaum 4:06 Self-Agency in Healthcare; New Uses for Old Medicines 6:44 Other Uses of Aspirin & Viagra; Drug Development & Approved Use 8:53 Lidocaine & Breast Cancer; Pharmaceutical Companies & Incentives 11:36 Sponsors: Eight Sleep & Rorra 14:16 Pharmaceutical Companies, Patents & New Uses; Lithium 18:40 Tools: Finding Reliable Health Sources, Asking Questions & Disease Organizations; DADA2 Treatment 21:53 Medical Community & Connections; Integrated Medical Databases 24:36 Drug Repurposing, Thalidomide, Pembrolizumab 28:45 Medical Research Databases, Mapping Disease Connections 33:51 Every Cure Database & Programs, Bachmann-Bupp Syndrome; Colchicine & Heart Disease 37:57 Sponsors: AGZ by AG1 & David 40:41 David's Medical & Career Journey, Glioblastoma, Castleman Disease 49:10 Autoimmune Disease, Driven Personality, Stress & Immune System 52:52 Castleman Disease, Treatment, Chemotherapy 55:54 Physician Continuing Education, Santa Claus Theory of Civilization; Science Collaboration 1:03:32 Medical School, Relapse & "Overtime", Finding a New Treatment, Rapamycin 1:12:46 Sport, Football & Resilience; Challenge & Personal Growth, Family 1:18:41 Sponsor: Function 1:20:29 Social Support; "Overtime", Gratitude 1:23:19 Business School, Castleman Disease Treatment; Repurposing Drugs & AI 1:28:29 Drug Repurposing, POEMS Syndrome; Mitigating Risk 1:35:32 Nicotine, Compounds for Preventive Health; GLP-1 Agonists 1:40:51 Bioprospecting, Drug Development; AI, Prioritization & Novel Connections 1:46:18 Healthcare & Children; Hope, Action & Impact Circuit; Challenge & Super-Agers 1:52:50 Get Involved with Every Cure 1:56:20 Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter Includes paid partnerships.

Andrew D. Huberman, Ph.D.

683,492 просмотров • 9 месяцев назад