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updated the ryOS window manager today 🪟 all built via tiny one‑shot plans in Cursor: – exposé-style window switcher – resizable, auto‑hide dock – snap to edges with smart auto‑resize turns out obsessing over tiny details is weirdly cathartic

Ryo Lu

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31,564 views • 7 months ago •via X (Twitter)

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CSS Trick ⭐️ You can create a resizable panel UI with CSS alone by leaning into resize and display:grid 👀 .panels{ display: grid; grid-template-columns: auto 1fr; 👈 } .resizer{ max-width: 100cqi; overflow: hidden; resize: horizontal; 👈 } Putting a resizable element into the first panel provides a way to resize the layout as we're using "auto 1fr". You could also do this with other layout techniques but grid was the first that came to me 😅 But, the issue with resize is you can't style the teeny tiny little handle the browser provides... 🤦‍♂️ So, a trick for that is to scale the resizable element up and then clip the part we don't need 😯 .resizer { height: 48px; transform-origin: 100% 100%; scale: 4; clip-path: inset(calc(100% - 12px) 0 0 calc(100% - 12px)); } And that gives you a slightly better hit spot for the resize handle plus the ability to move it around 🙌 It's not perfect by any means. It does raise the question of how hard would it be to implement support for styling the resize handle in the browser? CodePen.IO link below! 👇

CSS Trick ⭐️ You can create a resizable panel UI with CSS alone by leaning into resize and display:grid 👀 .panels{ display: grid; grid-template-columns: auto 1fr; 👈 } .resizer{ max-width: 100cqi; overflow: hidden; resize: horizontal; 👈 } Putting a resizable element into the first panel provides a way to resize the layout as we're using "auto 1fr". You could also do this with other layout techniques but grid was the first that came to me 😅 But, the issue with resize is you can't style the teeny tiny little handle the browser provides... 🤦‍♂️ So, a trick for that is to scale the resizable element up and then clip the part we don't need 😯 .resizer { height: 48px; transform-origin: 100% 100%; scale: 4; clip-path: inset(calc(100% - 12px) 0 0 calc(100% - 12px)); } And that gives you a slightly better hit spot for the resize handle plus the ability to move it around 🙌 It's not perfect by any means. It does raise the question of how hard would it be to implement support for styling the resize handle in the browser? CodePen.IO link below! 👇

jhey ʕ•ᴥ•ʔ

331,358 views • 2 years ago

🚨 MAN WATCHES A 1965 FRIDGE COMMERCIAL - AND REALIZES WE’VE BEEN SCAMMED BY “SMART” TECH This 1965 Frigidaire ad is straight-up humbling.They were out here with fully rolling shelves that pulled all the way out, a tilt-out “picture window” hydrator for your fruits and veggies, and ice trays that auto-ejected perfect cubes with zero drama. Simple mechanical genius built to actually last for decades. Now? We drop thousands on “smart” fridges packed with glitchy screens, apps, WiFi, and data tracking… that break in a couple years. We didn’t upgrade. We got played more garbage for the land fills

🚨 MAN WATCHES A 1965 FRIDGE COMMERCIAL - AND REALIZES WE’VE BEEN SCAMMED BY “SMART” TECH This 1965 Frigidaire ad is straight-up humbling.They were out here with fully rolling shelves that pulled all the way out, a tilt-out “picture window” hydrator for your fruits and veggies, and ice trays that auto-ejected perfect cubes with zero drama. Simple mechanical genius built to actually last for decades. Now? We drop thousands on “smart” fridges packed with glitchy screens, apps, WiFi, and data tracking… that break in a couple years. We didn’t upgrade. We got played more garbage for the land fills

Victor Bigham 🇺🇸

235,790 views • 3 months ago

What would you do if life left you alone with a toddler to raise? Every morning at 6:30, Komal Gaikwad starts her auto in Kalyan with her 3-year-old daughter Teju seated beside her on a tiny wooden seat inside the rickshaw. Komal grew up in Parbhani and dreamed of studying further, but financial struggles forced her to stop after Class 10. She got married in 2018 and moved to Kalyan, where her husband drove an auto. When Teju was just 18 months old, he left for their hometown and never returned. Left alone with her young daughter, Komal first took up a job as a security guard. But with no one to care for Teju, leaving her behind was impossible. So she chose a different path. She rented an auto and began driving across the city with her daughter beside her. At first she made a small bed at the back of the auto, but the little girl would cry whenever passengers got in. So Komal built a tiny seat right next to her so Teju could sit safely beside her mother throughout the day. Today she earns about ₹400 to ₹500 a day and recently bought her own rickshaw on EMI. Her biggest dream is simple: To send Teju to an English medium school. If you would like to support Komal in securing her daughter’s education, you can donate through the QR code shared in the post. Also here are the bank details : Name : KOMAL DNYANDEV GAIKWAD Account Number : 60451946127 IFSC Code : MAHB0000672 Bank Name : BANK OF MAHARASHTRA Credits : komal_gaikwad_6763 on IG #Inspiring #SingleMother #WomenEmpowerment #InspiringIndia [Komal Gaikwad, single mother, auto driver, Inspiring India]

What would you do if life left you alone with a toddler to raise? Every morning at 6:30, Komal Gaikwad starts her auto in Kalyan with her 3-year-old daughter Teju seated beside her on a tiny wooden seat inside the rickshaw. Komal grew up in Parbhani and dreamed of studying further, but financial struggles forced her to stop after Class 10. She got married in 2018 and moved to Kalyan, where her husband drove an auto. When Teju was just 18 months old, he left for their hometown and never returned. Left alone with her young daughter, Komal first took up a job as a security guard. But with no one to care for Teju, leaving her behind was impossible. So she chose a different path. She rented an auto and began driving across the city with her daughter beside her. At first she made a small bed at the back of the auto, but the little girl would cry whenever passengers got in. So Komal built a tiny seat right next to her so Teju could sit safely beside her mother throughout the day. Today she earns about ₹400 to ₹500 a day and recently bought her own rickshaw on EMI. Her biggest dream is simple: To send Teju to an English medium school. If you would like to support Komal in securing her daughter’s education, you can donate through the QR code shared in the post. Also here are the bank details : Name : KOMAL DNYANDEV GAIKWAD Account Number : 60451946127 IFSC Code : MAHB0000672 Bank Name : BANK OF MAHARASHTRA Credits : komal_gaikwad_6763 on IG #Inspiring #SingleMother #WomenEmpowerment #InspiringIndia [Komal Gaikwad, single mother, auto driver, Inspiring India]

The Better India

15,165 views • 4 months ago

Today I vibe-coded a small but incredibly useful macOS Electron app using Cursor + GPT-5.5. I use my Mac with a Samsung monitor that has a built-in webcam. Every time I used the camera, I noticed annoying light flickering. I always assumed it was my lighting. It turns out the culprit was the anti-flicker setting. The webcam was set to 60 Hz by default, while India's power frequency is 50 Hz. That mismatch causes visible flickering under indoor lighting. Samsung doesn't provide any way to change this on the monitor, and macOS doesn't have a built-in control for it either. So I asked Cursor to build a simple camera control app that lets me change the webcam's hardware settings, including the anti-flicker mode, along with zoom, brightness, contrast, and more. About 30 minutes and a few rounds of refinement later, I had a fully working Electron app. A tiny app, but it solved something that had been annoying me for months.

Today I vibe-coded a small but incredibly useful macOS Electron app using Cursor + GPT-5.5. I use my Mac with a Samsung monitor that has a built-in webcam. Every time I used the camera, I noticed annoying light flickering. I always assumed it was my lighting. It turns out the culprit was the anti-flicker setting. The webcam was set to 60 Hz by default, while India's power frequency is 50 Hz. That mismatch causes visible flickering under indoor lighting. Samsung doesn't provide any way to change this on the monitor, and macOS doesn't have a built-in control for it either. So I asked Cursor to build a simple camera control app that lets me change the webcam's hardware settings, including the anti-flicker mode, along with zoom, brightness, contrast, and more. About 30 minutes and a few rounds of refinement later, I had a fully working Electron app. A tiny app, but it solved something that had been annoying me for months.

AshutoshShrivastava

76,959 views • 27 days ago

Not your average G-Body. This 1987 Buick Regal Turbo T in rare Light Chestnut Metallic with T-tops is a true 1-owner survivor, and it’s got the goods to back it up. While the Grand Nationals get all the spotlight, this Turbo T Limited was built in tiny numbers (only about 1,000 made) with the potent 3.8L intercooled turbo V6 making 245 hp and a massive 355 lb-ft of torque. That’s real muscle in a sophisticated package: quick, comfortable, and loaded with ’80s tech like multiport injection and a 4-speed auto that could still surprise traffic today. T-tops, killer color, original survivor condition… this one stands apart from the blacked-out crowd. Pure G-Body performance with class. What’s your take — would you take this over a Grand National, or does the turbo Regal still fly too far under the radar for you? Drop it in the comments. Let’s hear it. 👇

Not your average G-Body. This 1987 Buick Regal Turbo T in rare Light Chestnut Metallic with T-tops is a true 1-owner survivor, and it’s got the goods to back it up. While the Grand Nationals get all the spotlight, this Turbo T Limited was built in tiny numbers (only about 1,000 made) with the potent 3.8L intercooled turbo V6 making 245 hp and a massive 355 lb-ft of torque. That’s real muscle in a sophisticated package: quick, comfortable, and loaded with ’80s tech like multiport injection and a 4-speed auto that could still surprise traffic today. T-tops, killer color, original survivor condition… this one stands apart from the blacked-out crowd. Pure G-Body performance with class. What’s your take — would you take this over a Grand National, or does the turbo Regal still fly too far under the radar for you? Drop it in the comments. Let’s hear it. 👇

𝐃𝐔𝐓𝐂𝐇

36,913 views • 24 days ago

This trader used Claude to build a Quant Bot and made +$104,043 on Polymarket Since Apr 2, this wallet has been making about $1,351 a day and a little over 22 trades per hour 40,774 predictions with a 51% win rate in 77 days This trader’s Polymarket account: This trader started with $219.7K in deposits and is now sitting at roughly +41.1% ROI The bot strategy is simple: > It looks for short crypto markets where the odds are still out of sync > Gets in before the repricing is finished then keeps hitting the same setup across a huge flow of entries > The result is not driven by one big win, but by repeating the same edge over and over Most profitable trades: $62 → $1,745 (+$1,683, +2,693.86%) $27 → $1,365 (+$1,337, +4,784%) $79 → $1,350 (+$1,270, +1,595.75%) It is the ability to keep exploiting tiny short-window pricing errors until they stack into a large PnL

This trader used Claude to build a Quant Bot and made +$104,043 on Polymarket Since Apr 2, this wallet has been making about $1,351 a day and a little over 22 trades per hour 40,774 predictions with a 51% win rate in 77 days This trader’s Polymarket account: This trader started with $219.7K in deposits and is now sitting at roughly +41.1% ROI The bot strategy is simple: > It looks for short crypto markets where the odds are still out of sync > Gets in before the repricing is finished then keeps hitting the same setup across a huge flow of entries > The result is not driven by one big win, but by repeating the same edge over and over Most profitable trades: $62 → $1,745 (+$1,683, +2,693.86%) $27 → $1,365 (+$1,337, +4,784%) $79 → $1,350 (+$1,270, +1,595.75%) It is the ability to keep exploiting tiny short-window pricing errors until they stack into a large PnL

Daniro

94,145 views • 1 month ago

Nano Banana + Veo 3 + n8n is absolutely WILD 🤯 This AI system creates UGC videos with consistent characters & product shots at scale. And auto-stitches everything together into finished content. Perfect for e-comm operators & creative agencies who need brand consistency. Just upload ONE product image and get complete UGC campaigns with the same character across all videos. Here's how it works: → Upload product image via n8n form → AI analyzes your product automatically → Nano Banana generates consistent character variations → Veo 3 creates multiple video scenes with same talent → Auto-combines all clips into final campaign video → Ready-to-download UGC content in minutes Built 100% in n8n. Fully automated character consistency. Want the complete n8n workflow? Comment "BANANA" + like and I'll send it over (must be following so I can DM)

Mike Futia

283,055 views • 10 months ago

Big news X-Design just released a brand-new version with even more powerful features for product photo creation. If you sell on platforms like Etsy or run your own store, this is seriously worth checking out: ✅ Auto-Generated Product Listing Sets: Upload one product photo, and X-Design instantly creates a full set - main image, lifestyle scene, hand-held, and detail shot. No extra editing apps needed. ✅ Lifestyle-Focused AI Background Generator: Replace plain backdrops with cozy, natural home scenes that feel warm and real - perfect for home decor, candles, fashion, and more. ✅ AI Model Try-On (for T-shirt POD sellers): Turn flat product images into professional model shots with one click, choosing from different model styles to match your brand. ✅ All-in-One Photo Editor Workflow: Background Removal with clean edges Object Eraser to remove distractions Product Retouching to polish surface details Clarity Enhancer for sharper, clearer product images ✅ Candle Lit Effect: X-Design auto-lights candles in product scenes so buyers can instantly visualize how it looks when lit.

ghotai غوټی

92,790 views • 1 year ago

Graduate your Turbo tokens on-chain / NEW YEAR Release On-chain launches on Catapult are coming soon — and this will be a major component of what Turbo is. Before Hyper, we're bringing Turbo on-chain, offering users a completely new token launch mechanic with no supply overhang and no liquidity requirements. The process is simple: >create tokens on Turbo >some of those will hit $50k volume >you're offered the opportunity to launch your own token on-chain at zero cost Because we source liquidity from existing volume, you get a proper fair launch: >all token supply in the pool: no sellers who bought before graduation >high health ratio from terminals >everyone has a shot All tokens will be basically auto-marketed through the platform via a time window short enough to create enough hype/tension. We're implementing an anti-sniping mechanic that will make conditions even better for shrimps. The on-chain mechanic comes together with updated incentives, starting a new period in rewarding users and tracking their all-time scores.

Graduate your Turbo tokens on-chain / NEW YEAR Release On-chain launches on Catapult are coming soon — and this will be a major component of what Turbo is. Before Hyper, we're bringing Turbo on-chain, offering users a completely new token launch mechanic with no supply overhang and no liquidity requirements. The process is simple: >create tokens on Turbo >some of those will hit $50k volume >you're offered the opportunity to launch your own token on-chain at zero cost Because we source liquidity from existing volume, you get a proper fair launch: >all token supply in the pool: no sellers who bought before graduation >high health ratio from terminals >everyone has a shot All tokens will be basically auto-marketed through the platform via a time window short enough to create enough hype/tension. We're implementing an anti-sniping mechanic that will make conditions even better for shrimps. The on-chain mechanic comes together with updated incentives, starting a new period in rewarding users and tracking their all-time scores.

Catapult Trade

15,570 views • 7 months ago

screenshot studio just shipped four tools that replace your entire design workflow tweet screenshots paste a tweet URL. light or dark theme. auto-renders the avatar, metrics, media, verified badge. hit add. done your tweet lives 48 hours on the timeline. the screenshot lives forever in every feed on every platform code snippets 20 languages. 20 themes. 10 monospace fonts. line numbers. macOS window bar. font size. border radius. all adjustable paste your code. it syntax-highlights instantly. export a clean image that people actually stop scrolling to read a wall of monospace text gets skipped. a styled snippet gets shared overlay layers upload your own images or pick from built-in 3D assets. drag, resize, rotate directly on canvas. control opacity, blur, flip. send layers in front or behind your main image every layer is independent. reorder, hide, delete. full depth control a flat screenshot tells half the story. layers tell the rest annotation tools arrows. curved arrows. lines. rectangles. circles. blur regions 12 colors. adjustable stroke width. click and drag to draw. select to edit. blur anything you need to hide the difference between showing your screen and teaching from your screen is one arrow free. browser-based. no signup. no watermark

Kartik

12,080 views • 4 months ago

John toured NIO's factory in China. They built an upscale EV for under $10k and went from the first shovel in the ground to the first car off the line in just 17 months. He said China knew it would always be behind in ICE cars, so it pushed aggressively into EVs to leapfrog to the next technology and gain an advantage over the rest of the world. "Going to their factory and seeing, number one, how quickly that factory is built. And second, the factory automation -- much of the process was done via robotics. Looking at the auto plants we have in the US, we still have a plant that was originally built a 100 years ago, operating outside of Chicago. The average age of a US plant is roughly 40 years now. They've been upgraded over time but I don't think they replicate what's happening with robotics in China. This combination of being able to do things really quickly with a skilled but low-cost labor force and robotics has just allowed China to create a quality product at a price that nobody in the rest of the world's really been able to figure out yet."

John toured NIO's factory in China. They built an upscale EV for under $10k and went from the first shovel in the ground to the first car off the line in just 17 months. He said China knew it would always be behind in ICE cars, so it pushed aggressively into EVs to leapfrog to the next technology and gain an advantage over the rest of the world. "Going to their factory and seeing, number one, how quickly that factory is built. And second, the factory automation -- much of the process was done via robotics. Looking at the auto plants we have in the US, we still have a plant that was originally built a 100 years ago, operating outside of Chicago. The average age of a US plant is roughly 40 years now. They've been upgraded over time but I don't think they replicate what's happening with robotics in China. This combination of being able to do things really quickly with a skilled but low-cost labor force and robotics has just allowed China to create a quality product at a price that nobody in the rest of the world's really been able to figure out yet."

Patrick OShaughnessy

50,988 views • 4 months ago

Taken from my bedroom window today in the Scottish Highlands in the snow ❄️ I have shared limited information about the sheer trauma that has happened to me over the last 3.5 years, and now 8 major surgeries later. I've had to be quiet about most of it. It will soon be over, and I guarantee you will read all about it. In Book 1, I wrote in Scotland this time last year for 3 months, and now in Book 2, I am here writing it now. It's only with faith, family, courage, and therapy that I've made it till now. Because the reality is that some wouldn't have, and I was nearly one. So I harnessed that pain and wrote the book, and I can't wait till you can READ ALL ABOUT IT. This part of the journey coming to Scotland to write these books has been the most cathartic healing thing I've ever done, and I cant wait for you to read my story. Love Emma ❣️

Taken from my bedroom window today in the Scottish Highlands in the snow ❄️ I have shared limited information about the sheer trauma that has happened to me over the last 3.5 years, and now 8 major surgeries later. I've had to be quiet about most of it. It will soon be over, and I guarantee you will read all about it. In Book 1, I wrote in Scotland this time last year for 3 months, and now in Book 2, I am here writing it now. It's only with faith, family, courage, and therapy that I've made it till now. Because the reality is that some wouldn't have, and I was nearly one. So I harnessed that pain and wrote the book, and I can't wait till you can READ ALL ABOUT IT. This part of the journey coming to Scotland to write these books has been the most cathartic healing thing I've ever done, and I cant wait for you to read my story. Love Emma ❣️

Emma Longman - Azzopardi

11,617 views • 1 year ago

🔥HOW RUDY GIULIANI SAVED NYC IN 1993 AND MADE IT THE CITY IT IS TODAY. He introduced the "Broken Window Policy" & it is the SAME blueprint Trump used to restore Washington D.C to what it is today. In 1989 Rudy Giuliani barely lost to David Dinkins. Dinkins went on to be the WORST mayor we ever had in NYC and we had a record 2,500 MURDERS his first year...Spike Lee endorsed him. Four years later he ushered in policies that BUILT THE FOUNDATION that is Manhattan & NYC today that are BARELY hanging on. Rudy W. Giuliani was the one who restored NYC to it's glory and now ALL of that has been slowly through Fabian Gradualism & Socialism destroyed via Liberals moving there that were brainwashed in college ONCE IT WAS SAFE along with record immigrants coming post 9/11. The liberals then began taking positions in Govt. LIKE LOCUSTS THE LEFT COMES IN AND FEEDS OFF THE CARCASS TIL NOTHING REMAINS AND THEN LEAVES. It will take NYC returning to Dinkins levels for them to finally leave so it can be rebuilt again.

🔥HOW RUDY GIULIANI SAVED NYC IN 1993 AND MADE IT THE CITY IT IS TODAY. He introduced the "Broken Window Policy" & it is the SAME blueprint Trump used to restore Washington D.C to what it is today. In 1989 Rudy Giuliani barely lost to David Dinkins. Dinkins went on to be the WORST mayor we ever had in NYC and we had a record 2,500 MURDERS his first year...Spike Lee endorsed him. Four years later he ushered in policies that BUILT THE FOUNDATION that is Manhattan & NYC today that are BARELY hanging on. Rudy W. Giuliani was the one who restored NYC to it's glory and now ALL of that has been slowly through Fabian Gradualism & Socialism destroyed via Liberals moving there that were brainwashed in college ONCE IT WAS SAFE along with record immigrants coming post 9/11. The liberals then began taking positions in Govt. LIKE LOCUSTS THE LEFT COMES IN AND FEEDS OFF THE CARCASS TIL NOTHING REMAINS AND THEN LEAVES. It will take NYC returning to Dinkins levels for them to finally leave so it can be rebuilt again.

Johnny St.Pete

102,800 views • 8 months ago

Every project management tool was designed by project managers, for project managers. This one was designed for ADHD, dyslexic, and autistic brains instead. And it turns out that also makes it better for literally everyone who just wants to get work done without configuring a tool for two weeks first. It’s called Leantime. Most PM tools throw you straight into a task board and expect you to already know what a “sprint” is. Leantime is built around a different idea: tasks should trace back to a goal, not float in a backlog with no reason attached. → Ships with strategic planning tools, Lean Canvas, SWOT analysis, built to connect the “why” to the actual task list, not just a bare Kanban board → The same tasks render as Kanban, table, or list, whichever your brain processes better on a given day → Gantt-style milestone timeline, a built-in project wiki, and time tracking, all native, not four separate tools stitched together → Interface is deliberately built to reduce cognitive overload and context-switching, an actual design principle here, not an accessibility checkbox added later → Self-host via Docker in under an hour, your team’s entire project history stays on a server you control Jira was built assuming a certified project manager runs the workflow. Most teams are five people trying to ship something, not an enterprise PMO. Leantime is what a PM tool looks like when it’s built for the second group. Open source. AGPL-3.0. 10,000+ GitHub stars.

Every project management tool was designed by project managers, for project managers. This one was designed for ADHD, dyslexic, and autistic brains instead. And it turns out that also makes it better for literally everyone who just wants to get work done without configuring a tool for two weeks first. It’s called Leantime. Most PM tools throw you straight into a task board and expect you to already know what a “sprint” is. Leantime is built around a different idea: tasks should trace back to a goal, not float in a backlog with no reason attached. → Ships with strategic planning tools, Lean Canvas, SWOT analysis, built to connect the “why” to the actual task list, not just a bare Kanban board → The same tasks render as Kanban, table, or list, whichever your brain processes better on a given day → Gantt-style milestone timeline, a built-in project wiki, and time tracking, all native, not four separate tools stitched together → Interface is deliberately built to reduce cognitive overload and context-switching, an actual design principle here, not an accessibility checkbox added later → Self-host via Docker in under an hour, your team’s entire project history stays on a server you control Jira was built assuming a certified project manager runs the workflow. Most teams are five people trying to ship something, not an enterprise PMO. Leantime is what a PM tool looks like when it’s built for the second group. Open source. AGPL-3.0. 10,000+ GitHub stars.

Harman

30,789 views • 14 days ago

before Nassim Taleb made his fortune shorting the 2008 collapse, an old veteran on the trading floor gave him a terrifying warning "he grabbed me, pointed to a guy across the room and said: 'you see ed over there? he made $7 million in 7 years... and he just lost it all in exactly 7 seconds'" that was the exact moment Taleb realized that 99% of wall street was playing a rigged game of russian roulette "average funds hide their risk to look smart - they make small, steady profits every single day, completely blind to the fact that one rare event will eventually wipe out their entire existence" "we do the exact opposite - we take tiny, calculated losses every day, and position our entire portfolio to make billions the second the system completely breaks" Taleb didn't build his empire by trying to predict the market. he built it by assuming everyone else is fragile, and waiting for the inevitable hurricane to destroy them watch his legendary stanford masterclass where he breaks down this exact realization

before Nassim Taleb made his fortune shorting the 2008 collapse, an old veteran on the trading floor gave him a terrifying warning "he grabbed me, pointed to a guy across the room and said: 'you see ed over there? he made $7 million in 7 years... and he just lost it all in exactly 7 seconds'" that was the exact moment Taleb realized that 99% of wall street was playing a rigged game of russian roulette "average funds hide their risk to look smart - they make small, steady profits every single day, completely blind to the fact that one rare event will eventually wipe out their entire existence" "we do the exact opposite - we take tiny, calculated losses every day, and position our entire portfolio to make billions the second the system completely breaks" Taleb didn't build his empire by trying to predict the market. he built it by assuming everyone else is fragile, and waiting for the inevitable hurricane to destroy them watch his legendary stanford masterclass where he breaks down this exact realization

ludoonchart

139,281 views • 1 month ago

Trump told us, a little over 5 years ago, on September 19th, 2020...that Biden had been shot, that only half of his head was left. You're not alive anymore if you only have half of your head left. And yet, Biden somehow went on to win the democrat party's nomination to run against Trump in November 2020. Then the election was then stolen from Trump and apparently fake Biden held the office for 4 full years. That would explain why nearly 100% of all presidential signatures were made with the auto pen during that 4 year period. We're now seeing repeated claims and confirmations that Biden was in fact shot and k*lled in 2019 and that actors have been standing in for him this whole time. Trump told us over 5 years ago. Anons posted thousands of threads as we noticed that Biden was taller one day than he was the next, ears were different, eyes were different, nose was different. Sometimes he was significantly different three times in one day. Turns out we were right to be suspicious.

Trump told us, a little over 5 years ago, on September 19th, 2020...that Biden had been shot, that only half of his head was left. You're not alive anymore if you only have half of your head left. And yet, Biden somehow went on to win the democrat party's nomination to run against Trump in November 2020. Then the election was then stolen from Trump and apparently fake Biden held the office for 4 full years. That would explain why nearly 100% of all presidential signatures were made with the auto pen during that 4 year period. We're now seeing repeated claims and confirmations that Biden was in fact shot and k*lled in 2019 and that actors have been standing in for him this whole time. Trump told us over 5 years ago. Anons posted thousands of threads as we noticed that Biden was taller one day than he was the next, ears were different, eyes were different, nose was different. Sometimes he was significantly different three times in one day. Turns out we were right to be suspicious.

40_Head

1,503,233 views • 5 months ago

This is the eye of a missile built before GPS and artificial intelligence. This is the laser seeker head from an AGM-65C/E Maverick, a precision air-to-ground missile that entered service in the early 1970s. Behind this small optical window is a complete guidance system designed to find and track a target using nothing but reflected laser energy. The missile itself does not know where the target is even when fired. A laser designator illuminates the target, the seeker detects the reflected laser signal, and Hidden inside the seeker is a precision gyro spinning at 24,000+ RPM, stabilising the optics so the missile could keep tracking a tiny reflected laser spot through vibration, acceleration, and supersonic flight. Built in an era of analog electronics, the seeker had to process signals, maintain optical alignment, and guide a missile travelling around Mach 1.2 without modern processors, GPS, or digital imaging systems. An AGM-65 Maverick cost an incredible $20,000-40,000 in 1970s production and became one of the most widely used precision strike weapons in aviation history. What looks like a small optical assembly is actually a mechanical and electronic eye that gave aircraft the ability to hit targets from kilometres away with unprecedented accuracy decades before today’s smart beyond visual range missiles. 🎥tonyturi

This is the eye of a missile built before GPS and artificial intelligence. This is the laser seeker head from an AGM-65C/E Maverick, a precision air-to-ground missile that entered service in the early 1970s. Behind this small optical window is a complete guidance system designed to find and track a target using nothing but reflected laser energy. The missile itself does not know where the target is even when fired. A laser designator illuminates the target, the seeker detects the reflected laser signal, and Hidden inside the seeker is a precision gyro spinning at 24,000+ RPM, stabilising the optics so the missile could keep tracking a tiny reflected laser spot through vibration, acceleration, and supersonic flight. Built in an era of analog electronics, the seeker had to process signals, maintain optical alignment, and guide a missile travelling around Mach 1.2 without modern processors, GPS, or digital imaging systems. An AGM-65 Maverick cost an incredible $20,000-40,000 in 1970s production and became one of the most widely used precision strike weapons in aviation history. What looks like a small optical assembly is actually a mechanical and electronic eye that gave aircraft the ability to hit targets from kilometres away with unprecedented accuracy decades before today’s smart beyond visual range missiles. 🎥tonyturi

Ammanichanda

256,161 views • 14 days ago

I built a full app with AI - frontend, backend, auth, everything. It ran clean. I almost deployed it. Then I discovered it was missing over half the core features I asked for. Quietly. Silently. No errors. AI agents only see what fits in their context window. They give you code that looks complete but forgets what features were supposed to do. You ask for a shopping cart? You get UI. Password reset? Good luck getting the actual logic. It all looks fine. No crashes. Just logic that silently fails - which is dangerous. Recently I tried TestSprite, which doesn't just test code — it understands your product intent. Reads your repo and prompt history, figures out what your app should do, then creates smart test plans. The numbers that made me freeze: Typical AI apps hit ~40% of target features With TestSprite: 90%+ feature coverage Took a side project I'd given up on. Plugged in TestSprite. In 10 minutes: 7 missing features found, 3 broken edge cases, 1 API error I missed. Also, they are offering a FREE one month starter pack to all new users. If AI handles both coding AND testing... what does development look like next?

I built a full app with AI - frontend, backend, auth, everything. It ran clean. I almost deployed it. Then I discovered it was missing over half the core features I asked for. Quietly. Silently. No errors. AI agents only see what fits in their context window. They give you code that looks complete but forgets what features were supposed to do. You ask for a shopping cart? You get UI. Password reset? Good luck getting the actual logic. It all looks fine. No crashes. Just logic that silently fails - which is dangerous. Recently I tried TestSprite, which doesn't just test code — it understands your product intent. Reads your repo and prompt history, figures out what your app should do, then creates smart test plans. The numbers that made me freeze: Typical AI apps hit ~40% of target features With TestSprite: 90%+ feature coverage Took a side project I'd given up on. Plugged in TestSprite. In 10 minutes: 7 missing features found, 3 broken edge cases, 1 API error I missed. Also, they are offering a FREE one month starter pack to all new users. If AI handles both coding AND testing... what does development look like next?

Florida

33,991 views • 11 months ago

🇺🇸 🇨🇳 GOOGLE’S GEMINI JUST STARTED THE REAL AI WAR WITH CHINA All In podcast co-host David Friedberg analyzed the rapidly shifting AI landscape, revealing that the intensifying technology supremacy battle with China is driving innovation while OpenAI's ChatGPT monopoly crumbles as Google Gemini captures major market share: "We are now in a race for supremacy in technology and AI against China. ChatGPT was basically the market monopoly, and it only had one way to go, which was down. A little over a year ago they were at 90% plus market share. Today, Gemini is at 14-15%. The flywheel that Google has built gives them such extraordinary advantage." OpenAI had first-mover advantage and cultural momentum. Google had everything else: distribution, integration, data, and infinite resources. Turns out that matters more than being first. Source: The All-In Podcast

🇺🇸 🇨🇳 GOOGLE’S GEMINI JUST STARTED THE REAL AI WAR WITH CHINA All In podcast co-host David Friedberg analyzed the rapidly shifting AI landscape, revealing that the intensifying technology supremacy battle with China is driving innovation while OpenAI's ChatGPT monopoly crumbles as Google Gemini captures major market share: "We are now in a race for supremacy in technology and AI against China. ChatGPT was basically the market monopoly, and it only had one way to go, which was down. A little over a year ago they were at 90% plus market share. Today, Gemini is at 14-15%. The flywheel that Google has built gives them such extraordinary advantage." OpenAI had first-mover advantage and cultural momentum. Google had everything else: distribution, integration, data, and infinite resources. Turns out that matters more than being first. Source: The All-In Podcast

Mario Nawfal

51,954 views • 7 months ago