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🌲 three.js tip: use alphaToCoverage for foliage! instead of transparent=true (alpha blending; sorting issues, more overdraw) or alphaTest (fragment discard; sorting works, but jagged edges) alphaToCoverage (A2C) gives you smooth edges without the sorting/overlap headaches!

bop

3,958 subscribers

11,020 views • 7 months ago •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

13 Comments

Smol7 months ago

@blockamoto Is this on a bitmap? 👀

Be The Bitmap 🟧7 months ago

Dope!!! 🔥🔥🔥🔥🔥

urⓑanⓑor.ⓑtc | Bitmap |🟧7 months ago

Bopppppp you are legendary!!!!❤️❤️❤️❤️❤️🥳🥳🥳🥳🥳🥳🥳🥳🥳

'3D'EricOkie7 months ago

Holy moly 😲

Mickaël | 🟧7 months ago

Bravo Bop 👏👏

ˢʷⁱᵗᶜʰ-₉₀₀🟧7 months ago

Yes Bop, this looks epic.

Blocktoshi_Rune7 months ago

Noice!

₿ragi | Building on Alkanes w/ Aries ♈️7 months ago

@blockamoto Bro this looks amazing 🤩

Dennis Smolek7 months ago

Remember this depends on MSAA and doesn’t allow transparency blending, but for solid stuff like the leaf cards it’s great!

kingko3 months ago

Suddenly a little nostalgic for BRC420🚁

bitoshi blockamoto 🧱 BITMAP 🟧7 months ago

🤯

Transparency Interactive7 months ago

@threejs Wow this is so good, any example!?

LightShift Studio7 months ago

It’s a valid technique, likely to improve performance. How does it handle complex geometry?

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Erigga live on ig, Davido is true that your dad have money but your noise is too much. The money that can’t buy you Grammy since you’ve been fighting for it look at Wizkid and Burna boy won their own without stress but you’re always here broke shaming and body shaming people instead make you use the opportunity to compose good song with meaningful lyrics and stop looking for a song writer. At least I don’t depend on people to have hit or I depend on them to write for me you puşssy niggaa. You don dey this industry for years, still the same story every time big mouth, small result when it come to that one award you dey chase like say e go drop from sky because of family name. Wizkid and Burna just dey work, drop their music, collect their Grammy without all this extra wahala and online shouting you dey do. You sef prefer to jump on people matter, call them broke, talk their body, drag them for comments instead of sitting down one place and writing something that go actually last. All that money no fit buy you the respect or the award you dey crave, yet you still dey make noise like say noise na the main work. If you put half of that energy into real lyrics instead of looking for who go write for you or who you go shade next, maybe people go take you more serious. Me I no dey wait for anybody to carry my sound or write my words; I stand on my own work. You just dey too loud for somebody wey still dey struggle with the same thing after all these years, you puşssy niggaa. Calm down small and face the music properly.

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SoloMon ♨️

126,758 views • 26 days ago

Here is the Geometry Nodes Weighted Normals with Laplacian Blur on a full character (a vroid). It easily improves the shading even on game topology with almost no setup. I built this as part of my quest to improve real time toon shading. 3D anime models are popular, but use of dynamic light is rare even among high quality vtuber models. This is for several reasons, but a big one is simply that it takes a lot of Custom Normals work to make 3D cel shading not look like a jagged mess (other pieces of the puzzle are issues like deformations, multiple lights, etc). And fixing Normals is tedious, especially on existing game topology. I have focused on proxy meshes for priority areas like character faces, but they aren't an efficient solution for the whole body + outfit. I wanted something I could just throw on any model and make it at least not a jagged mess anymore even if it wasn't perfect. As you can see from this clip, this does that very well! And vertex groups can be used to control the style of the effect and power. It still can't smooth beyond what the topology density can support, but the topo itself is no longer a problem (for higher res, could be run on a subdivided version of the model and then baked to a Normal Map.) The only changes I made to this model were adding a weld modifier to merge split edges during interpolation, and a vertex group to select the skirt. I have not yet added full handling and logic for detecting edges with big angles like the skirt, or for handling boundaries like on the hair, so both those areas can get better too. You can also see that while it successfully smooths out the Face, it isn't really stylistically correct there. That is still best done with a proxy mesh to define a new shape. This is part of the tools I am working on for Fondant. We are putting together a Blender Addon to release this + a proxy mesh tool for the face, and are working on resolving other problems in-engine to fully bring dynamic light to real time 3D toon shading. Give us a follow, and send them a DM if you are interested in testing these tools as they develop!

Here is the Geometry Nodes Weighted Normals with Laplacian Blur on a full character (a vroid). It easily improves the shading even on game topology with almost no setup. I built this as part of my quest to improve real time toon shading. 3D anime models are popular, but use of dynamic light is rare even among high quality vtuber models. This is for several reasons, but a big one is simply that it takes a lot of Custom Normals work to make 3D cel shading not look like a jagged mess (other pieces of the puzzle are issues like deformations, multiple lights, etc). And fixing Normals is tedious, especially on existing game topology. I have focused on proxy meshes for priority areas like character faces, but they aren't an efficient solution for the whole body + outfit. I wanted something I could just throw on any model and make it at least not a jagged mess anymore even if it wasn't perfect. As you can see from this clip, this does that very well! And vertex groups can be used to control the style of the effect and power. It still can't smooth beyond what the topology density can support, but the topo itself is no longer a problem (for higher res, could be run on a subdivided version of the model and then baked to a Normal Map.) The only changes I made to this model were adding a weld modifier to merge split edges during interpolation, and a vertex group to select the skirt. I have not yet added full handling and logic for detecting edges with big angles like the skirt, or for handling boundaries like on the hair, so both those areas can get better too. You can also see that while it successfully smooths out the Face, it isn't really stylistically correct there. That is still best done with a proxy mesh to define a new shape. This is part of the tools I am working on for Fondant. We are putting together a Blender Addon to release this + a proxy mesh tool for the face, and are working on resolving other problems in-engine to fully bring dynamic light to real time 3D toon shading. Give us a follow, and send them a DM if you are interested in testing these tools as they develop!

aVersionOfReality

14,904 views • 1 year ago

Imagine stepping outside on a breezy spring morning: your front steps burst with bright pink tulips and sunny yellow daffodils that never need deadheading. Friends stop by and do a double-take, asking how you keep everything looking so fresh. You just smile and say it's effortless—no green thumb required. This idea is perfect for anyone who loves the **joy** of spring blooms but wants to skip the hassle: busy parents, renters who can't dig up beds, people in drought-prone areas, or anyone who simply wants reliable beauty that lasts. Tag a friend who adores flowers but dreads the upkeep—these faux beauties deliver the season's magic without the work. It's early spring, and the air still carries that crisp bite, but your porch, patio, or garden beds feel bare and waiting. Instead of battling unpredictable weather, late frosts, or the constant need to water and deadhead real plants, you bring home bunches of premium silk flowers designed specifically for the outdoors. These aren't the cheap, plasticky fakes that fade or look obvious after a week. They're crafted with UV-resistant materials and soft, realistic petals in classic spring shades—vibrant tulips, cheerful daffodils, delicate cherry blossoms, or lush peonies—that catch the light just like the real thing. The **tip** at the heart of the post is simple yet game-changing: choose artificial flowers built to withstand sun, rain, wind, and temperature swings without any maintenance. No more wilted stems after a hot afternoon, no drooping from lack of water, no brown edges from a surprise cold snap. They stay vibrant and perfectly shaped from the first warm March day through the entire season (and beyond). Arrange them in pots, hanging baskets, window boxes, or mixed into your existing garden for instant color and fullness. #SpringVibes #LowMaintenanceGarden #EverlastingBlooms

Imagine stepping outside on a breezy spring morning: your front steps burst with bright pink tulips and sunny yellow daffodils that never need deadheading. Friends stop by and do a double-take, asking how you keep everything looking so fresh. You just smile and say it's effortless—no green thumb required. This idea is perfect for anyone who loves the joy of spring blooms but wants to skip the hassle: busy parents, renters who can't dig up beds, people in drought-prone areas, or anyone who simply wants reliable beauty that lasts. Tag a friend who adores flowers but dreads the upkeep—these faux beauties deliver the season's magic without the work. It's early spring, and the air still carries that crisp bite, but your porch, patio, or garden beds feel bare and waiting. Instead of battling unpredictable weather, late frosts, or the constant need to water and deadhead real plants, you bring home bunches of premium silk flowers designed specifically for the outdoors. These aren't the cheap, plasticky fakes that fade or look obvious after a week. They're crafted with UV-resistant materials and soft, realistic petals in classic spring shades—vibrant tulips, cheerful daffodils, delicate cherry blossoms, or lush peonies—that catch the light just like the real thing. The tip at the heart of the post is simple yet game-changing: choose artificial flowers built to withstand sun, rain, wind, and temperature swings without any maintenance. No more wilted stems after a hot afternoon, no drooping from lack of water, no brown edges from a surprise cold snap. They stay vibrant and perfectly shaped from the first warm March day through the entire season (and beyond). Arrange them in pots, hanging baskets, window boxes, or mixed into your existing garden for instant color and fullness. #SpringVibes #LowMaintenanceGarden #EverlastingBlooms

NancyH

26,361 views • 6 months ago

The Final Destination of $UNIQ Token 🚀 After deep analysis, we came to a clear conclusion: Uniqly is stronger without a token. Instead of forcing artificial use cases or chasing trends, we made the decision that truly benefits our community—a $2,000,000 buyback of $UNIQ at a price of $0.3014, officially retiring the token. This marks the final chapter for $UNIQ, but for Uniqly, it's the beginning of a new era in traditional capital markets. Our mission continues, with an unwavering focus on Phygitals and building sustainable, innovative products that push the boundaries of Web3. The buyback process is now live, and we’ve made it as seamless as possible for holders. More details on how to claim, timelines, and next steps in our Medium article. 🔗 Article: There’s no need to rush—the buyback process has been designed to give everyone plenty of time to complete their transactions at their own pace. You will be able to claim your share within 12 months. We want this to be a smooth and transparent experience, so we encourage you to review the details and proceed whenever it suits you best. The best is yet to come. 💜

The Final Destination of $UNIQ Token 🚀 After deep analysis, we came to a clear conclusion: Uniqly is stronger without a token. Instead of forcing artificial use cases or chasing trends, we made the decision that truly benefits our community—a $2,000,000 buyback of $UNIQ at a price of $0.3014, officially retiring the token. This marks the final chapter for $UNIQ, but for Uniqly, it's the beginning of a new era in traditional capital markets. Our mission continues, with an unwavering focus on Phygitals and building sustainable, innovative products that push the boundaries of Web3. The buyback process is now live, and we’ve made it as seamless as possible for holders. More details on how to claim, timelines, and next steps in our Medium article. 🔗 Article: There’s no need to rush—the buyback process has been designed to give everyone plenty of time to complete their transactions at their own pace. You will be able to claim your share within 12 months. We want this to be a smooth and transparent experience, so we encourage you to review the details and proceed whenever it suits you best. The best is yet to come. 💜

Uniqly.io

27,892 views • 1 year ago

If your dishwasher smells funky... it's probably hiding this disgusting secret. Most people rinse their dishes... but forget to clean the machine doing all the work. Here's the 10-minute deep clean your dishwasher will thank you for: Remove the filter and soak it in warm water, white vinegar, and a little dish soap. Wipe the door seals, edges, and the bottom lip inside the door—one of the dirtiest spots that often never gets rinsed. Run an empty hot cycle with a dishwasher cleaning tablet, or place a glass of white vinegar on the top rack if you don't have one. Before starting the cycle, run your kitchen sink until the water is hot so the dishwasher begins cleaning with hot water instead of cold. Bonus tip: If your dishwasher has spray arms with clogged holes, use a toothpick or soft brush to clear them. Better water flow means cleaner dishes. A clean dishwasher doesn't just smell better—it cleans better, lasts longer, and can even help prevent cloudy glasses and mystery residue. What's one household cleaning hack that made you wonder, "Why didn't I know this years ago?"

If your dishwasher smells funky... it's probably hiding this disgusting secret. Most people rinse their dishes... but forget to clean the machine doing all the work. Here's the 10-minute deep clean your dishwasher will thank you for: Remove the filter and soak it in warm water, white vinegar, and a little dish soap. Wipe the door seals, edges, and the bottom lip inside the door—one of the dirtiest spots that often never gets rinsed. Run an empty hot cycle with a dishwasher cleaning tablet, or place a glass of white vinegar on the top rack if you don't have one. Before starting the cycle, run your kitchen sink until the water is hot so the dishwasher begins cleaning with hot water instead of cold. Bonus tip: If your dishwasher has spray arms with clogged holes, use a toothpick or soft brush to clear them. Better water flow means cleaner dishes. A clean dishwasher doesn't just smell better—it cleans better, lasts longer, and can even help prevent cloudy glasses and mystery residue. What's one household cleaning hack that made you wonder, "Why didn't I know this years ago?"

PeachProof

17,727 views • 2 months ago

I vibe coded and built a sprite animation pipeline 🛠️ (Day 22 of making the engine+game) ⬇️ Watch the video if you don't wanna read the wall of text - it directly shows what I do. Shoutout to Jidé ✨ for showing me a paper on black/white combination to get alpha, it's the cleanest method yet, and to Cursor for enabling this entire journey. If you prefer the wall of text here you go: The hardest part of using general image models for 2D sprites isn’t getting a nice-looking frame, it’s getting consistent motion across a whole sprite sheet. You can fake a sheet, but frames won’t align, timing drifts, and you end up with weird artifacts. Even if you manually cut frames + interpolate, the animation often looks “off” because each frame is basically a new interpretation, not the same character evolving over time. This is especially noticeable with public API models like gpt-image-1.5 and Nano Banana. Some custom LoRAs for open models exist, but this is intended for less techy folks. My workaround: use a video model first, then post-process into a sprite sheet. Render the animation over a solid background (white/black/magenta/green), then chroma-key it out (my engine tool supports this). If the motion stays inside the silhouette, this works surprisingly well. You can do this in almost any video editing software too! The catch: keying almost always leaves an “aura” (edge spill). My best results come from interpolating the keyed animation with a clean base sprite, so you keep crisp edges and only “borrow” motion/detail where needed. If the animation extends outside the silhouette (tree branches, hair wisps, foliage), I usually skip “true sprite animation” and do it with shaders instead. Keying can’t fully remove halos there, no matter how much feathering/tuning you do. Another annoying issue: pixel corruption. AI rarely generates a perfectly flat background (pure #000000 or #FF00FF). That tiny noise breaks clean extraction and creates crawling garbage pixels around the subject. For clean base sprites (and even PBR maps), a useful trick is generating the same asset on white + black backgrounds and deriving alpha from the difference. This is basically a matte workflow: white = opaque, black = transparent. It fixes aura… but you’d need it per-frame to fix animation, which is still hard. For simple pixel art (single-digit frames), you can sometimes generate a sprite sheet, then ask the model to recreate it on black/white while preserving alignment… but it’s still manual-heavy. Honestly, at this point, for some projects it’s easier to go 3D → 2D and render clean sprites/maps directly. But I still love pushing “pure 2D” and seeing how far we can take it. Thanks for reading! Follow/bookmark/repost if interested in this kind of content!

I vibe coded and built a sprite animation pipeline 🛠️ (Day 22 of making the engine+game) ⬇️ Watch the video if you don't wanna read the wall of text - it directly shows what I do. Shoutout to Jidé ✨ for showing me a paper on black/white combination to get alpha, it's the cleanest method yet, and to Cursor for enabling this entire journey. If you prefer the wall of text here you go: The hardest part of using general image models for 2D sprites isn’t getting a nice-looking frame, it’s getting consistent motion across a whole sprite sheet. You can fake a sheet, but frames won’t align, timing drifts, and you end up with weird artifacts. Even if you manually cut frames + interpolate, the animation often looks “off” because each frame is basically a new interpretation, not the same character evolving over time. This is especially noticeable with public API models like gpt-image-1.5 and Nano Banana. Some custom LoRAs for open models exist, but this is intended for less techy folks. My workaround: use a video model first, then post-process into a sprite sheet. Render the animation over a solid background (white/black/magenta/green), then chroma-key it out (my engine tool supports this). If the motion stays inside the silhouette, this works surprisingly well. You can do this in almost any video editing software too! The catch: keying almost always leaves an “aura” (edge spill). My best results come from interpolating the keyed animation with a clean base sprite, so you keep crisp edges and only “borrow” motion/detail where needed. If the animation extends outside the silhouette (tree branches, hair wisps, foliage), I usually skip “true sprite animation” and do it with shaders instead. Keying can’t fully remove halos there, no matter how much feathering/tuning you do. Another annoying issue: pixel corruption. AI rarely generates a perfectly flat background (pure #000000 or #FF00FF). That tiny noise breaks clean extraction and creates crawling garbage pixels around the subject. For clean base sprites (and even PBR maps), a useful trick is generating the same asset on white + black backgrounds and deriving alpha from the difference. This is basically a matte workflow: white = opaque, black = transparent. It fixes aura… but you’d need it per-frame to fix animation, which is still hard. For simple pixel art (single-digit frames), you can sometimes generate a sprite sheet, then ask the model to recreate it on black/white while preserving alignment… but it’s still manual-heavy. Honestly, at this point, for some projects it’s easier to go 3D → 2D and render clean sprites/maps directly. But I still love pushing “pure 2D” and seeing how far we can take it. Thanks for reading! Follow/bookmark/repost if interested in this kind of content!

Startracker 🔺

20,181 views • 8 months ago

People love to hate on cinder block beds, but she just proved why they are the ultimate garden hack. Instead of leaving them raw, she used surface bonding cement to give it a stunning, modern stucco finish. If you’re ready to build your own “forever garden” without breaking the bank, check out the full breakdown below! The "No-Rot" Step-by-Step Prep the Base: She leveled the ground and laid down pea gravel. Spend extra time here! If your first layer is perfectly flat, the rest of the build is a breeze. The Secret Weapon: She used outdoor construction adhesive (like PL Premium) to lock the blocks together. It’s incredibly fast, requires zero masonry skills, and makes the structure incredibly rigid. Want to hide the standard "cinder block" look? Use top caps to smooth out the edges, then apply a layer of surface bonding cement for a sleek, high-end stucco vibe. This is cheap, elegant, and built to outlive us all. Would you try this stucco look in your backyard?

People love to hate on cinder block beds, but she just proved why they are the ultimate garden hack. Instead of leaving them raw, she used surface bonding cement to give it a stunning, modern stucco finish. If you’re ready to build your own “forever garden” without breaking the bank, check out the full breakdown below! The "No-Rot" Step-by-Step Prep the Base: She leveled the ground and laid down pea gravel. Spend extra time here! If your first layer is perfectly flat, the rest of the build is a breeze. The Secret Weapon: She used outdoor construction adhesive (like PL Premium) to lock the blocks together. It’s incredibly fast, requires zero masonry skills, and makes the structure incredibly rigid. Want to hide the standard "cinder block" look? Use top caps to smooth out the edges, then apply a layer of surface bonding cement for a sleek, high-end stucco vibe. This is cheap, elegant, and built to outlive us all. Would you try this stucco look in your backyard?

PeachProof

36,051 views • 3 months ago

3D scanning and rendering is moving so fast - got my splats up and running and I'm mind blown getting ~100fps for this complex 3D scene ⬇️ 🤯 1. WAY faster than NeRF: For comparison, NeRFs would takes around 10 seconds per frame (!) Instead I'm zipping around with FPV controls without breaking a sweat - though I do crash a few times towards the end of the video lol 2. Old Meets New: Gaussian Splatting is cool in that it fuses classical graphics and deep learning techniques. Like NeRFs, this is still a radiance field - just without the slower (ne)ural rendering part. 3. Explicit Representation: Instead you represent a 3D scene as a collection of ellipsoidal "splats" called gaussians. Each gaussian has a position, size, and color. Rendering in real-time is done by projecting into the image plane and alpha blending. 4. Photorealistic Effects: Gaussian splatting use spherical harmonics to represent the view-dependent effects and lighting - allowing surfaces to change color when viewed from different angles, enabling greater photorealism. It doesn't use a neural network, but the training loop is similar to deep learning. 5. Enables Direct Editing: But it's not just speed - with Gaussian Splatting you also get 3D editing support! So you can select, move, and delete stuff, even relight stuff. This type of editing has been more tedious to do with NeRFs and their implicit black box representations. 📲 More tests cooking! Much more to unpack here including simpler explanations. If you enjoyed this post, you might enjoy my feed: Bilawal Sidhu

3D scanning and rendering is moving so fast - got my splats up and running and I'm mind blown getting ~100fps for this complex 3D scene ⬇️ 🤯 1. WAY faster than NeRF: For comparison, NeRFs would takes around 10 seconds per frame (!) Instead I'm zipping around with FPV controls without breaking a sweat - though I do crash a few times towards the end of the video lol 2. Old Meets New: Gaussian Splatting is cool in that it fuses classical graphics and deep learning techniques. Like NeRFs, this is still a radiance field - just without the slower (ne)ural rendering part. 3. Explicit Representation: Instead you represent a 3D scene as a collection of ellipsoidal "splats" called gaussians. Each gaussian has a position, size, and color. Rendering in real-time is done by projecting into the image plane and alpha blending. 4. Photorealistic Effects: Gaussian splatting use spherical harmonics to represent the view-dependent effects and lighting - allowing surfaces to change color when viewed from different angles, enabling greater photorealism. It doesn't use a neural network, but the training loop is similar to deep learning. 5. Enables Direct Editing: But it's not just speed - with Gaussian Splatting you also get 3D editing support! So you can select, move, and delete stuff, even relight stuff. This type of editing has been more tedious to do with NeRFs and their implicit black box representations. 📲 More tests cooking! Much more to unpack here including simpler explanations. If you enjoyed this post, you might enjoy my feed: Bilawal Sidhu

Bilawal Sidhu

337,090 views • 3 years ago

BADLAB V2: WHERE YOUR MEDIOCRE CODING DREAMS GO TO DIE 🔊 Listen up, code peasants. While you've been copy-pasting Stack Overflow answers, we've been revolutionizing how fucking development works. BADLAB V2 just dropped, and it's not just another update – it's a fucking paradigm shift. Let me break this down for you smooth-brains: 1️⃣ BADLAB V2 makes it easier and faster to build web apps, games, smart contracts, and data visualizations: No-code deployment, run, and share - without the headaches. 2️⃣ What This Means for Users: You can build bigger, better, and more useful projects and tools. Works with all the tools you love: React, Web3, Three.js, d3, and more—whether you’re building games, dApps, automation tools, or interactive charts, the sky is the limit. 3️⃣ Smart automation does the hard work: AI writes code for you, making it easier to start building without deep technical expertise. 4️⃣ CDN-backed hosting: Your projects load fast and reliably because they run from Cloudflare CDN, not some sketchy server. And now? You can share your creations with friends. 5️⃣ Easier debugging & updates: No more jumping through hoops to update files or fix errors. 6️⃣ Bottom Line: If you want to build web apps, games, or blockchain projects without dealing with all the messy setup and technical headaches, BADLAB V2 makes it easy. 🆕 WHAT’S NEW: ✔️ Multi-file projects – Because one file isn’t enough for real developers. ✔️ File updates that don’t require a PhD – No unnecessary complexity. ✔️ Examples even a brain-dead monkey could follow – Clear and simple. ✔️ Support for every major file format – JS, JSON, Markdown, 3D models, and more. ✔️ React components that don’t look like digital vomit – Finally, code that makes sense. ✔️ Server-side bundling – Because we’re not savages. ✔️ CDN-backed deployment – No lag, no downtime, just pure speed. ⚠️ WEAPONS OF MASS CREATION: 💧 d3.js – Interactive charts that don’t look like Excel’s morning sickness. 💧 Three.js – 3D visuals that push browsers to their limits. 💧 Effector – Business logic that actually makes fucking sense. 💧 Kaboom.js – Build browser games that aren’t complete garbage. 💧 React-Three/Fiber – 3D meets React without the usual drama. 💧 Framer Motion – Animations that are smooth as hell (and don’t cause seizures). 💧 Ethers & Web3.js – Blockchain development for the mentally stable. 🎮 Want to See It in Action? 🔗 Try our BADLAB V2 Agent Here: – Let AI do the hard work for you. ♟ Play the 4D Chess Game Here: – While you're playing checkers, we're transcending dimensions. 🎙 Welcome to the future, you beautiful disasters. Try not to break anything important. 🧪💀 C₈H₁₁NO₂

BADLAB V2: WHERE YOUR MEDIOCRE CODING DREAMS GO TO DIE 🔊 Listen up, code peasants. While you've been copy-pasting Stack Overflow answers, we've been revolutionizing how fucking development works. BADLAB V2 just dropped, and it's not just another update – it's a fucking paradigm shift. Let me break this down for you smooth-brains: 1️⃣ BADLAB V2 makes it easier and faster to build web apps, games, smart contracts, and data visualizations: No-code deployment, run, and share - without the headaches. 2️⃣ What This Means for Users: You can build bigger, better, and more useful projects and tools. Works with all the tools you love: React, Web3, Three.js, d3, and more—whether you’re building games, dApps, automation tools, or interactive charts, the sky is the limit. 3️⃣ Smart automation does the hard work: AI writes code for you, making it easier to start building without deep technical expertise. 4️⃣ CDN-backed hosting: Your projects load fast and reliably because they run from Cloudflare CDN, not some sketchy server. And now? You can share your creations with friends. 5️⃣ Easier debugging & updates: No more jumping through hoops to update files or fix errors. 6️⃣ Bottom Line: If you want to build web apps, games, or blockchain projects without dealing with all the messy setup and technical headaches, BADLAB V2 makes it easy. 🆕 WHAT’S NEW: ✔️ Multi-file projects – Because one file isn’t enough for real developers. ✔️ File updates that don’t require a PhD – No unnecessary complexity. ✔️ Examples even a brain-dead monkey could follow – Clear and simple. ✔️ Support for every major file format – JS, JSON, Markdown, 3D models, and more. ✔️ React components that don’t look like digital vomit – Finally, code that makes sense. ✔️ Server-side bundling – Because we’re not savages. ✔️ CDN-backed deployment – No lag, no downtime, just pure speed. ⚠️ WEAPONS OF MASS CREATION: 💧 d3.js – Interactive charts that don’t look like Excel’s morning sickness. 💧 Three.js – 3D visuals that push browsers to their limits. 💧 Effector – Business logic that actually makes fucking sense. 💧 Kaboom.js – Build browser games that aren’t complete garbage. 💧 React-Three/Fiber – 3D meets React without the usual drama. 💧 Framer Motion – Animations that are smooth as hell (and don’t cause seizures). 💧 Ethers & Web3.js – Blockchain development for the mentally stable. 🎮 Want to See It in Action? 🔗 Try our BADLAB V2 Agent Here: – Let AI do the hard work for you. ♟ Play the 4D Chess Game Here: – While you're playing checkers, we're transcending dimensions. 🎙 Welcome to the future, you beautiful disasters. Try not to break anything important. 🧪💀 C₈H₁₁NO₂

ARCH AI

44,480 views • 1 year ago

This guy connected a computer vision model to dual robotic manipulators on his desk and the system now folds shirts in 47 seconds per garment without any human intervention after loading Automated laundry folding is one of those problems that sounds trivial until you realize fabric has no rigid structure and every wrinkle changes the optimal fold path You need the robot to detect garment boundaries through visual segmentation, identify sleeve edges and collar positions on randomly oriented fabric, generate dynamic reference coordinates that shift with garment size, synchronize two independent robotic arms to pull opposing fabric edges without tearing, and execute all of this without a conveyor belt or fixed staging area Most people assume you need a commercial folding machine or at least a rigid frame to hold clothes in place This guy just bolted two robot arms to a workbench, ran a Flask server with a Laundrobot vision library, and built a preset selection interface that handles nine garment types The setup was minimal: a Python backend processing camera frames, a segmentation model running inference locally, two manipulators with soft grippers, and a heads-up display showing red and blue anchor points overlaid on live fabric The system scans the garment, the vision pipeline outputs coordinates like 284.262 and 965.262, the dashboard waits for a RUN command, and the arms fold the item in two geometric steps The robot picks up shirts, pants, towels, and socks from any position on the desk with zero calibration and zero pre-staging It is the same principle robotic pick-and-place systems use in factories but instead of metal parts it is handling deformable textiles that compress and slide unpredictably The arms have no concept of what clean laundry means to a human They think they are executing waypoint trajectories but the output is getting transformed into neatly stacked garments that take zero cognitive load from the operator If a household generates 14 loads of laundry per month and folding takes eleven minutes per load this is how you reclaim 154 minutes without outsourcing or spending four figures on hardware This is the cleanest domestic automation I have seen: one desk, two arms, one camera, and between them a folding operation that runs while you do anything else

This guy connected a computer vision model to dual robotic manipulators on his desk and the system now folds shirts in 47 seconds per garment without any human intervention after loading Automated laundry folding is one of those problems that sounds trivial until you realize fabric has no rigid structure and every wrinkle changes the optimal fold path You need the robot to detect garment boundaries through visual segmentation, identify sleeve edges and collar positions on randomly oriented fabric, generate dynamic reference coordinates that shift with garment size, synchronize two independent robotic arms to pull opposing fabric edges without tearing, and execute all of this without a conveyor belt or fixed staging area Most people assume you need a commercial folding machine or at least a rigid frame to hold clothes in place This guy just bolted two robot arms to a workbench, ran a Flask server with a Laundrobot vision library, and built a preset selection interface that handles nine garment types The setup was minimal: a Python backend processing camera frames, a segmentation model running inference locally, two manipulators with soft grippers, and a heads-up display showing red and blue anchor points overlaid on live fabric The system scans the garment, the vision pipeline outputs coordinates like 284.262 and 965.262, the dashboard waits for a RUN command, and the arms fold the item in two geometric steps The robot picks up shirts, pants, towels, and socks from any position on the desk with zero calibration and zero pre-staging It is the same principle robotic pick-and-place systems use in factories but instead of metal parts it is handling deformable textiles that compress and slide unpredictably The arms have no concept of what clean laundry means to a human They think they are executing waypoint trajectories but the output is getting transformed into neatly stacked garments that take zero cognitive load from the operator If a household generates 14 loads of laundry per month and folding takes eleven minutes per load this is how you reclaim 154 minutes without outsourcing or spending four figures on hardware This is the cleanest domestic automation I have seen: one desk, two arms, one camera, and between them a folding operation that runs while you do anything else

Blaze

24,799 views • 4 months ago

BJP had put special category status in their manifesto as a promise to the people of #Odisha, however, this promise has not been considered for Odisha, whereas special packages, allocating crores of funds have been announced for Andhra Pradesh and Bihar in #Budget2024. Along with this, the demand of Odisha for revision of coal royalty, which has been pending for years with the central government has been rejected, because of which the state will lose thousands of crores of revenue every year. Lots of big promises in different sectors were made to the people of Odisha during the election campaign especially on agriculture, MSME and industry. There is no mention of any promise being fulfilled in this #Budget2024. This is a complete neglect of Odisha and her people. We all know that Odisha faces a number of natural disasters every year, including floods. We had requested for a special package for disaster management. While, similar requests of other states have been considered and they have been granted Special packages for flood protection, the genuine demand of Odisha on disaster management has not been considered. So on both counts whether it is special package or revision of coal royalty, Odisha continues to be neglected by the NDA. Today, the most serious issue being faced by the common public is inflation/price rise, and unemployment. This budget does not have any considerable intervention to address these two major issues. We have been fighting for Justice in the Polavaram issue. Allocating more and more funds for Polavaram without sorting out the genuine grievances of Odisha shows impartiality against Odisha. The NDA government has been at the Centre for more than 10 years now and every budget talks of focus on Eastern India, including Odisha. There has been nothing substantial for Odisha over the years, and this budget has also been a disappointment for us, however, we shall wait for the details. I’m happy to see there is a focus on Tourism for Odisha. I hope it is substantial, and we shall wait for the details to come out. I would say that, along with the people of Odisha, I feel disappointed at the continued neglect of Odisha while the state contributes so much to the country. Leaders of BJP had given many tall promises during poll. But there is nothing for Odisha and for its people.

BJP had put special category status in their manifesto as a promise to the people of #Odisha, however, this promise has not been considered for Odisha, whereas special packages, allocating crores of funds have been announced for Andhra Pradesh and Bihar in #Budget2024. Along with this, the demand of Odisha for revision of coal royalty, which has been pending for years with the central government has been rejected, because of which the state will lose thousands of crores of revenue every year. Lots of big promises in different sectors were made to the people of Odisha during the election campaign especially on agriculture, MSME and industry. There is no mention of any promise being fulfilled in this #Budget2024. This is a complete neglect of Odisha and her people. We all know that Odisha faces a number of natural disasters every year, including floods. We had requested for a special package for disaster management. While, similar requests of other states have been considered and they have been granted Special packages for flood protection, the genuine demand of Odisha on disaster management has not been considered. So on both counts whether it is special package or revision of coal royalty, Odisha continues to be neglected by the NDA. Today, the most serious issue being faced by the common public is inflation/price rise, and unemployment. This budget does not have any considerable intervention to address these two major issues. We have been fighting for Justice in the Polavaram issue. Allocating more and more funds for Polavaram without sorting out the genuine grievances of Odisha shows impartiality against Odisha. The NDA government has been at the Centre for more than 10 years now and every budget talks of focus on Eastern India, including Odisha. There has been nothing substantial for Odisha over the years, and this budget has also been a disappointment for us, however, we shall wait for the details. I’m happy to see there is a focus on Tourism for Odisha. I hope it is substantial, and we shall wait for the details to come out. I would say that, along with the people of Odisha, I feel disappointed at the continued neglect of Odisha while the state contributes so much to the country. Leaders of BJP had given many tall promises during poll. But there is nothing for Odisha and for its people.

Naveen Patnaik

347,073 views • 2 years ago

Pragmata Review | No spoilers That is it for me. I played more than 30 hours of Pragmata and I am really happy that not only we finally got this game after so many delays and in a time where cancellations are common, but also that it turned out to be a very solid and enjoyable experience. Visually it is beautiful, and gameplay wise it works well for the length it has. It is not a long game, which I personally prefer, and I hope we see more titles like this instead of games trying to be longer just for the sake of it. I would not call it short like some people did, but I think it is exactly as long as it needs to be. Story wise, it is my favorite of the year so far. Seeing this kind of father and daughter dynamic again made me want to play more games with similar themes. I did almost everything in the game and I absolutely recommend it. If you are unsure about the length, maybe wait for a sale, but quality wise it deserves to be up there. I am not someone who rushes, so it took me longer because I admire the environments, take screenshots, record videos, and try to find collectibles without guides. For someone who just plays straight through, I think it would take around 12 to 15 hours, maybe a bit more or less. This is the kind of experience I want to see more often in the gaming space. I liked the combat and I think the enemy variety is fine for the length. If the game was longer without adding new enemy types, it would probably feel repetitive, but for what it is, it works. My biggest concern before playing was the combination of Hugh’s shooting and Diana’s hacking. If it was too complicated, it would be annoying, and if it was too simple, it would be boring. Thankfully, it ended up being exactly right. My only real complaint is that you need to return to the base to restock items, and when you die, the game sends you back there instead of placing you right before the area or at the last travel point you unlocked. It is not a huge issue, but it breaks the flow a bit. Diana is very cute and does her part extremely well, and Hugh is a character that is hard not to like. They both nail the dad simulator vibe. The voice acting is great, especially for Diana. Capcom delivered a unique and impressive new IP, which is always welcome in an industry where big publishers mostly rely on established franchises instead of taking risks. Whether we get more entries in the future is up to them, but it is also up to us to support games like this if we want more of them. On PC the game runs very well. The only thing that felt a bit underwhelming to me is the ray tracing when you use it on its own without path tracing. In some areas it does not add much, similar to what I noticed in Resident Evil Requiem. It makes me think it is either something with the RE Engine or simply that Capcom does not push ray tracing that far and focuses more on path tracing instead. Path tracing looks incredible, but of course it comes with a heavy performance cost. Something that impressed me throughout the entire playthrough is how consistent the game feels from start to finish. There is no point where it suddenly drops in quality or feels rushed. Every area has its own atmosphere, the pacing stays steady, and the game never tries to drag itself out longer than needed. It is rare to play something that stays this steady all the way through, and that alone made the whole experience even more enjoyable for me. I hope we get a DLC or a sequel one day, but even if this stays a one off, I am happy with what we got. Rating: 9/10

Pragmata Review | No spoilers That is it for me. I played more than 30 hours of Pragmata and I am really happy that not only we finally got this game after so many delays and in a time where cancellations are common, but also that it turned out to be a very solid and enjoyable experience. Visually it is beautiful, and gameplay wise it works well for the length it has. It is not a long game, which I personally prefer, and I hope we see more titles like this instead of games trying to be longer just for the sake of it. I would not call it short like some people did, but I think it is exactly as long as it needs to be. Story wise, it is my favorite of the year so far. Seeing this kind of father and daughter dynamic again made me want to play more games with similar themes. I did almost everything in the game and I absolutely recommend it. If you are unsure about the length, maybe wait for a sale, but quality wise it deserves to be up there. I am not someone who rushes, so it took me longer because I admire the environments, take screenshots, record videos, and try to find collectibles without guides. For someone who just plays straight through, I think it would take around 12 to 15 hours, maybe a bit more or less. This is the kind of experience I want to see more often in the gaming space. I liked the combat and I think the enemy variety is fine for the length. If the game was longer without adding new enemy types, it would probably feel repetitive, but for what it is, it works. My biggest concern before playing was the combination of Hugh’s shooting and Diana’s hacking. If it was too complicated, it would be annoying, and if it was too simple, it would be boring. Thankfully, it ended up being exactly right. My only real complaint is that you need to return to the base to restock items, and when you die, the game sends you back there instead of placing you right before the area or at the last travel point you unlocked. It is not a huge issue, but it breaks the flow a bit. Diana is very cute and does her part extremely well, and Hugh is a character that is hard not to like. They both nail the dad simulator vibe. The voice acting is great, especially for Diana. Capcom delivered a unique and impressive new IP, which is always welcome in an industry where big publishers mostly rely on established franchises instead of taking risks. Whether we get more entries in the future is up to them, but it is also up to us to support games like this if we want more of them. On PC the game runs very well. The only thing that felt a bit underwhelming to me is the ray tracing when you use it on its own without path tracing. In some areas it does not add much, similar to what I noticed in Resident Evil Requiem. It makes me think it is either something with the RE Engine or simply that Capcom does not push ray tracing that far and focuses more on path tracing instead. Path tracing looks incredible, but of course it comes with a heavy performance cost. Something that impressed me throughout the entire playthrough is how consistent the game feels from start to finish. There is no point where it suddenly drops in quality or feels rushed. Every area has its own atmosphere, the pacing stays steady, and the game never tries to drag itself out longer than needed. It is rare to play something that stays this steady all the way through, and that alone made the whole experience even more enjoyable for me. I hope we get a DLC or a sequel one day, but even if this stays a one off, I am happy with what we got. Rating: 9/10

𝑨𝒔𝒉𝒆𝒏 𝑶𝒏𝒆

32,822 views • 5 months ago