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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 Aufrufe • vor 7 Monaten •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

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🚨 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

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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]

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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.

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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

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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 Aufrufe • vor 1 Monat

Nobody's talking about the Claude trick that fixes every Seedance 2.0 video mistake. A cinematic action scene, an animated sequence, a product ad, and a dialogue scene are completely different types of content. Different camera language, different pacing, different reference logic. Most people try to force all of it through one universal prompt. The fix turns out to be simpler than expected: Claude Skills. It's not some secret hack. It's a file of instructions you load into Claude for one specific type of task. Once it's loaded, Claude stops acting like a general assistant and starts thinking like an expert in that one niche — with its own set of rules for that scene type. Here's what that looks like in practice: ▪ Cinematic skill — generates real camera language: dolly moves, crane shots, rack focus, shot discipline across multiple cuts. Test: a medieval battle between two armies, 15 seconds, dark fantasy. Result — three shots with the shot logic of an actual film, not just "epic battle" typed as text. ▪ Animation skill — locks in style and physics before a single shot is built. One test: a rain-soaked shonen fight in the style of Tokyo Revengers. Another: a quiet Ghibli-style farm scene. Same skill, completely different visual output — because the style gets fixed at the very top of the prompt. ▪ Product ad skill — keeps the product front and center in every shot: clean hero framing, commercial lighting, a full product description built from the reference image before any shots are generated. ▪ Dialogue skill — this is where most people fall apart. Lip sync, emotional direction, shot structure, and audio cues all have to work together. Test: an interrogation scene with a fourth-wall break — and the moment landed exactly as written, down to the pause and tone. The core idea is simple: instead of writing a prompt from scratch every time and hoping for the best, you build one skill per content type — and Claude asks the right setup questions (genre, tone, shot count, camera energy) before generating a fully structured Seedance 2.0 prompt. One prompt template for everything is exactly why 90% of AI videos look the same. This 13-minute video is free, and it's more useful than a $500 course. YouTube: "Skai Generated" - Thank you for sharing this invaluable material with us.

Nobody's talking about the Claude trick that fixes every Seedance 2.0 video mistake. A cinematic action scene, an animated sequence, a product ad, and a dialogue scene are completely different types of content. Different camera language, different pacing, different reference logic. Most people try to force all of it through one universal prompt. The fix turns out to be simpler than expected: Claude Skills. It's not some secret hack. It's a file of instructions you load into Claude for one specific type of task. Once it's loaded, Claude stops acting like a general assistant and starts thinking like an expert in that one niche — with its own set of rules for that scene type. Here's what that looks like in practice: ▪ Cinematic skill — generates real camera language: dolly moves, crane shots, rack focus, shot discipline across multiple cuts. Test: a medieval battle between two armies, 15 seconds, dark fantasy. Result — three shots with the shot logic of an actual film, not just "epic battle" typed as text. ▪ Animation skill — locks in style and physics before a single shot is built. One test: a rain-soaked shonen fight in the style of Tokyo Revengers. Another: a quiet Ghibli-style farm scene. Same skill, completely different visual output — because the style gets fixed at the very top of the prompt. ▪ Product ad skill — keeps the product front and center in every shot: clean hero framing, commercial lighting, a full product description built from the reference image before any shots are generated. ▪ Dialogue skill — this is where most people fall apart. Lip sync, emotional direction, shot structure, and audio cues all have to work together. Test: an interrogation scene with a fourth-wall break — and the moment landed exactly as written, down to the pause and tone. The core idea is simple: instead of writing a prompt from scratch every time and hoping for the best, you build one skill per content type — and Claude asks the right setup questions (genre, tone, shot count, camera energy) before generating a fully structured Seedance 2.0 prompt. One prompt template for everything is exactly why 90% of AI videos look the same. This 13-minute video is free, and it's more useful than a $500 course. YouTube: "Skai Generated" - Thank you for sharing this invaluable material with us.

Zentrix⌚️

43,491 Aufrufe • vor 11 Tagen

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 Aufrufe • vor 5 Monaten

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

256,498 Aufrufe • vor 23 Tagen