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Introducing Motion for Three.js Animate Three.js objects, materials, shader uniforms, TSL nodes and more, sequenced alongside HTML & SVG elements, batched on Motion's render loop. Now in Motion+ Early Access.

Motion

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21,712 görüntüleme • 5 gün önce •via X (Twitter)

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If you think this is just another silly demo made with AI, read this post. You might change your mind, because this demo is about MATH. What you see on the screen is not a render from Blender (obviously, it’s not that good). It’s a three.js app built with Toolcraft. Available on the web and rendered in real time(link in the comments). But Blender still has a lot to do with it. Blender has Geometry Nodes - a powerful node-based system for creating and manipulating procedural geometry. In other words, it’s math. And math is a universal language. And who do you think is pretty good at math? >>> AI. Now you can download or buy Blender files from marketplaces, and when they contain Geometry Nodes for procedural animations, objects, surfaces, or effects, you can transfer that logic to the web. Make it real-time, make it interactive. Materials are a separate story, of course. They can still suck unless you use the right tricks: PBR, HDRIs, material blending, displacement, and faked surface relief. So why is Blender important here? Blender is open source, and many tools around it are open source too. An AI trained on their code. That means it can translate the math from one environment to another quite accurately. If you’ve been struggling to reproduce some idea with AI that you had in your head or seen in some references, and it has something to do with Geometry Nodes, and you can find that idea or a close one in the Blender ecosystem - it means you can transfer it to the web. Thank me later.

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Creators Toolbox

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I’ve been craving a video editor with motion baked in, designed to work with my own AI agents. Claude, Codex, whatever I want to use. I don’t want to be blocked by someone else’s credit system for every little interaction. I also wanted a Figma-like canvas/editor for when I want to jump in and tweak any little detail. So we built it: Video & audio editing: cut, zoom, speed up, add B-roll. Motion, animation, 3D, custom shaders & effects, custom 3D models, dynamic components & templates, audio and beat matching. And it’s all programmable. Design your own assets directly on the canvas, bring them in from Figma or the web, or just let the agent find them, mock them up, or record what it needs automatically. You can even drop in your screen recordings and just let loose. Supercut users: yes, it’ll have first-class support for your recordings, but it’ll work with anything. I’m going to be dropping a lot more examples and tutorials, so follow along. DM me for early access if you’re willing to give feedback. We’ll open it up to everyone very soon.

I’ve been craving a video editor with motion baked in, designed to work with my own AI agents. Claude, Codex, whatever I want to use. I don’t want to be blocked by someone else’s credit system for every little interaction. I also wanted a Figma-like canvas/editor for when I want to jump in and tweak any little detail. So we built it: Video & audio editing: cut, zoom, speed up, add B-roll. Motion, animation, 3D, custom shaders & effects, custom 3D models, dynamic components & templates, audio and beat matching. And it’s all programmable. Design your own assets directly on the canvas, bring them in from Figma or the web, or just let the agent find them, mock them up, or record what it needs automatically. You can even drop in your screen recordings and just let loose. Supercut users: yes, it’ll have first-class support for your recordings, but it’ll work with anything. I’m going to be dropping a lot more examples and tutorials, so follow along. DM me for early access if you’re willing to give feedback. We’ll open it up to everyone very soon.

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You can't 3D reconstruct glass from images... ...WRONG! Thanks for video diffusion, now just about anything is possible! Introducing...Diffusion Knows Transparency (DKT) Transparent and reflective objects usually break robot vision and photogrammetry pipelines because they don't follow the "solid object" rules standard cameras expect. DKT is a new AI model that repurposes the "internal physics engine" found in video generation models to solve this problem. Researchers took a massive video diffusion model (WAN) and fine-tuned it using a custom-built synthetic dataset to turn it into a high-precision depth sensor. To train the AI, they built the first massive synthetic video library of transparent objects, 1.32 million frames of perfectly labeled glass and metal objects in motion. Without ever seeing a "real" labeled video of glass during training, the model (DKT) outperformed all previous specialized systems on real-world benchmarks (ClearPose, DREDS). They created a "lightweight" 1.3B parameter version that runs fast enough (0.17s per frame) to be used on actual robot hardware. Two reasons I find this project important: 1. It further proves that synthetic data will be essential for training the next generation vision models. 2. In real-world robotic tests, using DKT's depth maps nearly doubled the success rate of robot arms trying to pick up objects on tricky reflective or translucent surfaces. At home robots will need to interact with these types of objects on a daily basis. Check out the project page here: Code is LIVE! #Computervision #Robotics #AI

You can't 3D reconstruct glass from images... ...WRONG! Thanks for video diffusion, now just about anything is possible! Introducing...Diffusion Knows Transparency (DKT) Transparent and reflective objects usually break robot vision and photogrammetry pipelines because they don't follow the "solid object" rules standard cameras expect. DKT is a new AI model that repurposes the "internal physics engine" found in video generation models to solve this problem. Researchers took a massive video diffusion model (WAN) and fine-tuned it using a custom-built synthetic dataset to turn it into a high-precision depth sensor. To train the AI, they built the first massive synthetic video library of transparent objects, 1.32 million frames of perfectly labeled glass and metal objects in motion. Without ever seeing a "real" labeled video of glass during training, the model (DKT) outperformed all previous specialized systems on real-world benchmarks (ClearPose, DREDS). They created a "lightweight" 1.3B parameter version that runs fast enough (0.17s per frame) to be used on actual robot hardware. Two reasons I find this project important: 1. It further proves that synthetic data will be essential for training the next generation vision models. 2. In real-world robotic tests, using DKT's depth maps nearly doubled the success rate of robot arms trying to pick up objects on tricky reflective or translucent surfaces. At home robots will need to interact with these types of objects on a daily basis. Check out the project page here: Code is LIVE! #Computervision #Robotics #AI

Jonathan Stephens

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MiniMax H3 is now 50% OFF on Magnific for 2K video, only until September 1. 🔥 I’ve been trying MiniMax H3 on Magnific, and it feels like a big upgrade for AI video creation. It’s not just about turning text into videos. You can use text, images, videos, and audio together in one prompt, giving you more control over the final video. Here’s what makes it stand out: - Multimodal: Use text, images, video, and audio in one prompt. - Multiple references: Add up to 9 images, 3 videos, and 3 audio files. - 2K video: Create videos up to 15 seconds long. - Built-in sound: Generate voice, music, and sound effects with the video. - Easy editing: Remove objects or transfer motion easily. - More control: Control the camera, characters, and voice. You can use it to turn posters into videos, moodboards into short films, and product images into ads. It also helps bring your ideas to life with realistic movement, lighting, reflections, and sound. The workflow is simple: give it your references → generate → edit → refine. Try MiniMax H3 on Magnific:

MiniMax H3 is now 50% OFF on Magnific for 2K video, only until September 1. 🔥 I’ve been trying MiniMax H3 on Magnific, and it feels like a big upgrade for AI video creation. It’s not just about turning text into videos. You can use text, images, videos, and audio together in one prompt, giving you more control over the final video. Here’s what makes it stand out: - Multimodal: Use text, images, video, and audio in one prompt. - Multiple references: Add up to 9 images, 3 videos, and 3 audio files. - 2K video: Create videos up to 15 seconds long. - Built-in sound: Generate voice, music, and sound effects with the video. - Easy editing: Remove objects or transfer motion easily. - More control: Control the camera, characters, and voice. You can use it to turn posters into videos, moodboards into short films, and product images into ads. It also helps bring your ideas to life with realistic movement, lighting, reflections, and sound. The workflow is simple: give it your references → generate → edit → refine. Try MiniMax H3 on Magnific:

Markandey Sharma

96,964 görüntüleme • 28 gün önce

Sub-40ms full self-driving on a $100 drone! 🚁 A demonstration showing a complete full-self-driving pipeline running in under 40 milliseconds on a $100 drone. The prompt: "Find the bike and land." No pre-mapping. Running real-time on commodity hardware. For context, human reaction time is around 200-250ms. This drone is processing sensor data, understanding natural language commands, identifying objects, planning motion, and executing control, all in 40ms. This is what happens when foundation models meet efficient inference. The models get smaller and faster while maintaining capability. The hardware gets cheaper while getting more powerful. The intersection makes previously impossible applications suddenly viable. A few years ago, this required thousands of dollars in compute, pre-mapped environments, and cloud connectivity. Now it runs locally on hardware that costs less than a nice dinner. Awesome stuff Chester & ! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Sub-40ms full self-driving on a $100 drone! 🚁 A demonstration showing a complete full-self-driving pipeline running in under 40 milliseconds on a $100 drone. The prompt: "Find the bike and land." No pre-mapping. Running real-time on commodity hardware. For context, human reaction time is around 200-250ms. This drone is processing sensor data, understanding natural language commands, identifying objects, planning motion, and executing control, all in 40ms. This is what happens when foundation models meet efficient inference. The models get smaller and faster while maintaining capability. The hardware gets cheaper while getting more powerful. The intersection makes previously impossible applications suddenly viable. A few years ago, this required thousands of dollars in compute, pre-mapped environments, and cloud connectivity. Now it runs locally on hardware that costs less than a nice dinner. Awesome stuff Chester & ! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

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I've been testing MiniMax H3 in early access, and it's one of the most capable AI video models I've used recently. What stood out to me most is the level of creative control. Instead of relying on a single prompt, I can combine text, images, videos, and audio to guide the final result much more precisely. A few features I've been enjoying: ✅ Native multimodal understanding and generation across text, images, video, and audio ✅ Omni Reference for more consistent characters, motion, and camera movement ✅ Precise editing that follows detailed instructions surprisingly well ✅ Commercial-grade output built for ads, branding videos, UI demos, game cinematics, and music videos ✅ Cinematic visuals with impressive audio quality I'm still exploring everything H3 can do, but my first impression has been really positive. Looking forward to sharing more examples as I continue testing. What would you create with MiniMax H3? MiniMax Design (H3) #MiniMaxH3 #HailuoAI

I've been testing MiniMax H3 in early access, and it's one of the most capable AI video models I've used recently. What stood out to me most is the level of creative control. Instead of relying on a single prompt, I can combine text, images, videos, and audio to guide the final result much more precisely. A few features I've been enjoying: ✅ Native multimodal understanding and generation across text, images, video, and audio ✅ Omni Reference for more consistent characters, motion, and camera movement ✅ Precise editing that follows detailed instructions surprisingly well ✅ Commercial-grade output built for ads, branding videos, UI demos, game cinematics, and music videos ✅ Cinematic visuals with impressive audio quality I'm still exploring everything H3 can do, but my first impression has been really positive. Looking forward to sharing more examples as I continue testing. What would you create with MiniMax H3? MiniMax Design (H3) #MiniMaxH3 #HailuoAI

Manish Kumar Shah

22,953 görüntüleme • 1 ay önce

MiniMax H3 Character Introduction Prompt: Use @[char ref] as the sole character reference. Preserve the exact identity, face, body proportions, hairstyle, outfit, colors, materials and overall silhouette of the character throughout the entire video. Do not redesign, simplify or replace any defining visual features. Create a cinematic character introduction focused on presence, silhouette, attitude and controlled motion. 0–4s Begin with a close shot of a defining lower-body or detail element such as boots, shoes, feet, hands, clothing hem or an important accessory. The character enters frame or settles into position. The camera slowly tracks upward while hair, clothing and secondary elements move naturally in the wind or environment. 4–8s Reveal more of the body with a medium or medium-wide shot from the back, side or three-quarter angle. The character stands in a calm, composed way inside the environment. The camera makes a smooth orbit, arc or lateral move to gradually reveal the character’s face and silhouette. 8–12s Move into a tight cinematic portrait or upper-body shot. The character performs one subtle signature action that fits their personality, such as lifting the chin, turning the head, adjusting clothing, brushing hair aside, opening a hand, looking toward camera, or shifting posture. Keep the motion minimal and intentional. The expression should match the character’s vibe. 12–15s End with a strong full-body hero shot that clearly presents the entire design and silhouette. Use a low-angle, eye-level or slightly dramatic framing depending on the character’s personality. The character settles into a natural final pose and holds it confidently for a clean final reveal. VISUAL DIRECTION Premium cinematic presentation. Match the visual medium and rendering style of @[char ref]. Emphasize clean silhouette, elegant staging, subtle secondary motion, believable hair and cloth movement, strong composition, atmospheric depth and polished lighting. The scene should feel like a high-end anime, game or film character introduction. CAMERA Use a clear progression from detail reveal to partial reveal to face reveal to full-body hero reveal. Camera movement should be smooth, controlled and intentional. Avoid chaotic motion. ENVIRONMENT Place the character in a fitting environment that supports their identity and mood. The background should enhance the character without distracting from them.

MiniMax H3 Character Introduction Prompt: Use @[char ref] as the sole character reference. Preserve the exact identity, face, body proportions, hairstyle, outfit, colors, materials and overall silhouette of the character throughout the entire video. Do not redesign, simplify or replace any defining visual features. Create a cinematic character introduction focused on presence, silhouette, attitude and controlled motion. 0–4s Begin with a close shot of a defining lower-body or detail element such as boots, shoes, feet, hands, clothing hem or an important accessory. The character enters frame or settles into position. The camera slowly tracks upward while hair, clothing and secondary elements move naturally in the wind or environment. 4–8s Reveal more of the body with a medium or medium-wide shot from the back, side or three-quarter angle. The character stands in a calm, composed way inside the environment. The camera makes a smooth orbit, arc or lateral move to gradually reveal the character’s face and silhouette. 8–12s Move into a tight cinematic portrait or upper-body shot. The character performs one subtle signature action that fits their personality, such as lifting the chin, turning the head, adjusting clothing, brushing hair aside, opening a hand, looking toward camera, or shifting posture. Keep the motion minimal and intentional. The expression should match the character’s vibe. 12–15s End with a strong full-body hero shot that clearly presents the entire design and silhouette. Use a low-angle, eye-level or slightly dramatic framing depending on the character’s personality. The character settles into a natural final pose and holds it confidently for a clean final reveal. VISUAL DIRECTION Premium cinematic presentation. Match the visual medium and rendering style of @[char ref]. Emphasize clean silhouette, elegant staging, subtle secondary motion, believable hair and cloth movement, strong composition, atmospheric depth and polished lighting. The scene should feel like a high-end anime, game or film character introduction. CAMERA Use a clear progression from detail reveal to partial reveal to face reveal to full-body hero reveal. Camera movement should be smooth, controlled and intentional. Avoid chaotic motion. ENVIRONMENT Place the character in a fitting environment that supports their identity and mood. The background should enhance the character without distracting from them.

Kōda

109,433 görüntüleme • 1 ay önce

Impeccable 3.7 brings linting to design. Until now it was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccable

Impeccable 3.7 brings linting to design. Until now it was a skill you asked for help. Now it's a design-system-aware feedback loop that runs while your agent builds, catching slop and design drift before they land. 🪝 Design hooks for Claude, Codex, and Cursor They run after every UI edit and quietly nudge your agent to fix slop and drift. The output isn't another wall of lint: it separates new findings from already-seen ones, flags clean scans, and asks the agent to use judgment. Fix real issues, leave intentional demos alone, save exceptions to config instead of littering your source. 🎨 Slop detection is now project-aware Reads your actual design system from DESIGN.md, your typography, palette, radius scale, and tokens, and flags drift from your system, not just generic AI slop: • this font isn't in your design system • this color is outside your documented palette • this radius doesn't match your rounded scale The same engine powers both the hooks and the CLI, and it's where we're investing next. 🖥️ Live Mode, ready for real projects Svelte/SvelteKit now preview variants as temporary framework components with live params, then accept cleanly back into your source component. Manual text edits got evidence / apply / discard routes, insertions preserve their anchors, and mapped lists and JSX slots clean up far more reliably. ⚡ Leaner core, sharper detector Rule-level evals across 3 providers and 4 niches cut guidance with no measurable lift and dropped examples that taught models bad patterns. The detector now skips hidden and screen-reader-only elements, understands OKLCH alpha and Sass-like inputs, and tightened checks for repeated kickers, oversized H1s, clipped overflow, and cramped padding. 🛠️ CLI caught up impeccable detect loads DESIGN.md by default, motion findings name the exact token or cubic-bezier instead of just "bounce," and impeccable ignores gives real CRUD for exceptions. Hooks and CLI share the same ignores. No split-brain config. Plus a much-improved interactive installer with hooks setup built in. Upgrade: npx impeccable install npm i -g impeccable

Impeccable

233,051 görüntüleme • 2 ay önce

Household chores created using a movement sheet as reference to animate the entire scene using ChatGPT Image 2.0 and Seedance 2.0 on Yapper GPT Image 2 Prompt; [VISUAL STYLE] Monochrome grayscale composition featuring a highly detailed 3D-rendered female character. Designed like a professional instructional guide with a technical, diagram-inspired layout. Clean white background, soft studio lighting, and strong contrast to highlight posture, actions, and object interaction. [GRID LAYOUT] Structured 4×4 panel grid (16 frames total), evenly spaced with thin black divider lines. Each panel is identical in size and clearly numbered from 1 to 16, showing a continuous sequence of household activities. [CHARACTER] Use the provided reference image for the face and overall likeness. Same facial features, skin tone, and proportions Natural makeup, soft expression Consistent identity across all 16 panels Realistic proportions and clean hairstyle (loose or tied back) [WARDROBE] Modern, modest casual outfit: Fitted crop top (not revealing, clean neckline, practical for movement) High-waisted straight or slightly wide-leg jeans (full length, neat fit) Optional minimal sneakers or barefoot indoor styling Fabric should react naturally to movement (subtle folds and tension) [SCENE APPROACH] Minimal, clean environment per panel — only essential props related to the chore. No clutter, no complex backgrounds — focus stays on the subject and action. [PANEL STRUCTURE – EACH FRAME] Top-left: Step number + task title (e.g., “Step 4 – Vacuum Floor”) Center: Full-body pose performing the chore Bottom-left: 3–4 concise instruction lines Overlay: Motion arrows and directional guides showing action flow [CHORE SEQUENCE EXAMPLES] Make the Bed Tidy Up Room Dust Surfaces Vacuum Floor Sweep Floor Mop Floor Do Laundry Hang Clothes Fold Clothes Clean Kitchen Counter Wash Dishes Take Out Trash Water Plants Clean Bathroom Organize Shelves Final Room Reset [MOTION INDICATORS] Curved arrows → fluid actions (wiping, folding) Straight arrows → directional movement Circular arrows → repetitive motions (scrubbing, mopping) [RENDER QUALITY] High-detail sculpted 3D style with smooth grayscale shading, soft shadows, and clean linework. Polished, concept-art level finish with clarity in every pose and object interaction. [RESTRICTIONS] No color, no unnecessary background detail, no extra characters, no revealing clothing, no clutter — only the subject, props, and instructional elements.

Household chores created using a movement sheet as reference to animate the entire scene using ChatGPT Image 2.0 and Seedance 2.0 on Yapper GPT Image 2 Prompt; [VISUAL STYLE] Monochrome grayscale composition featuring a highly detailed 3D-rendered female character. Designed like a professional instructional guide with a technical, diagram-inspired layout. Clean white background, soft studio lighting, and strong contrast to highlight posture, actions, and object interaction. [GRID LAYOUT] Structured 4×4 panel grid (16 frames total), evenly spaced with thin black divider lines. Each panel is identical in size and clearly numbered from 1 to 16, showing a continuous sequence of household activities. [CHARACTER] Use the provided reference image for the face and overall likeness. Same facial features, skin tone, and proportions Natural makeup, soft expression Consistent identity across all 16 panels Realistic proportions and clean hairstyle (loose or tied back) [WARDROBE] Modern, modest casual outfit: Fitted crop top (not revealing, clean neckline, practical for movement) High-waisted straight or slightly wide-leg jeans (full length, neat fit) Optional minimal sneakers or barefoot indoor styling Fabric should react naturally to movement (subtle folds and tension) [SCENE APPROACH] Minimal, clean environment per panel — only essential props related to the chore. No clutter, no complex backgrounds — focus stays on the subject and action. [PANEL STRUCTURE – EACH FRAME] Top-left: Step number + task title (e.g., “Step 4 – Vacuum Floor”) Center: Full-body pose performing the chore Bottom-left: 3–4 concise instruction lines Overlay: Motion arrows and directional guides showing action flow [CHORE SEQUENCE EXAMPLES] Make the Bed Tidy Up Room Dust Surfaces Vacuum Floor Sweep Floor Mop Floor Do Laundry Hang Clothes Fold Clothes Clean Kitchen Counter Wash Dishes Take Out Trash Water Plants Clean Bathroom Organize Shelves Final Room Reset [MOTION INDICATORS] Curved arrows → fluid actions (wiping, folding) Straight arrows → directional movement Circular arrows → repetitive motions (scrubbing, mopping) [RENDER QUALITY] High-detail sculpted 3D style with smooth grayscale shading, soft shadows, and clean linework. Polished, concept-art level finish with clarity in every pose and object interaction. [RESTRICTIONS] No color, no unnecessary background detail, no extra characters, no revealing clothing, no clutter — only the subject, props, and instructional elements.

Johnn

73,260 görüntüleme • 4 ay önce

❗The Steam Open Beta is LIVE NOW! Start time: Live now 🕑 End time: Monday, 1 June 2026 09:00 EDT | 14:00 BST Platform: PC Steam Map: Thanh Hóa Bridge Game Modes: Warfare & Offensive 🖥️ How to Join: Visit the Hell Let Loose: Vietnam Steam page and download the Hell Let Loose: Vietnam Playtest app from the Steam Store to jump in. We will be monitoring server usage throughout the weekend and will be adding more servers as needed depending on player count. 📰 As part of a quality-of-life improvement, players must now complete the relevant tutorials before they can access certain roles, including Commander and Squad Leader. Be sure to finish these tutorials if you want to play in those roles. - Commander Tutorials: Getting Started, Squad Leader and Commander Tutorials to take the Commander role. - Squad Leader Tutorials: Getting Started and Squad Leader Tutorials to take Squad Leader role. We also strongly recommend completing the tutorials for any roles you plan to play, such as Helicopter Pilot, to help you get the most out of the experience. 🪖Good luck on your deployment soldiers. Build Information & Known Issues: - A number of video settings do not function as intended. - Motion blur is disabled for this build and cannot be enabled. - Some potential rubber banding at long distances. - Players are able to join full teams when auto balancing is set to on but will be unable to deploy. - Occasionally newly created units appear in the incorrect section in the Unit Management menu. We’ll be sharing a survey on FirstLook after the Beta concludes to gather your feedback. Your input will help us improve the experience and shape future development. Thank you for taking part, and we hope you enjoy the playtest!

❗The Steam Open Beta is LIVE NOW! Start time: Live now 🕑 End time: Monday, 1 June 2026 09:00 EDT | 14:00 BST Platform: PC Steam Map: Thanh Hóa Bridge Game Modes: Warfare & Offensive 🖥️ How to Join: Visit the Hell Let Loose: Vietnam Steam page and download the Hell Let Loose: Vietnam Playtest app from the Steam Store to jump in. We will be monitoring server usage throughout the weekend and will be adding more servers as needed depending on player count. 📰 As part of a quality-of-life improvement, players must now complete the relevant tutorials before they can access certain roles, including Commander and Squad Leader. Be sure to finish these tutorials if you want to play in those roles. - Commander Tutorials: Getting Started, Squad Leader and Commander Tutorials to take the Commander role. - Squad Leader Tutorials: Getting Started and Squad Leader Tutorials to take Squad Leader role. We also strongly recommend completing the tutorials for any roles you plan to play, such as Helicopter Pilot, to help you get the most out of the experience. 🪖Good luck on your deployment soldiers. Build Information & Known Issues: - A number of video settings do not function as intended. - Motion blur is disabled for this build and cannot be enabled. - Some potential rubber banding at long distances. - Players are able to join full teams when auto balancing is set to on but will be unable to deploy. - Occasionally newly created units appear in the incorrect section in the Unit Management menu. We’ll be sharing a survey on FirstLook after the Beta concludes to gather your feedback. Your input will help us improve the experience and shape future development. Thank you for taking part, and we hope you enjoy the playtest!

Hell Let Loose

112,844 görüntüleme • 3 ay önce

🚨 STAICY IS GOING MOBILE 🚨 We’re hyped to announce that the Staicy App is officially in development for iOS and Android — launching early Q4. The mobile app will exist alongside the web-based Dashboard, which is set to launch in the coming weeks. Why now? We follow the data. 📊 Market research shows that 91% of bettors use mobile apps to research and place bets. Even more eye-opening: data from 2024 revealed that over 100 million sports bettors globally access the internet exclusively from their smartphones — no desktop access at all. That number was too big to ignore. And we weren’t about to gamble on the mobile browser experience being “good enough.” We don’t cut corners. Period. The app allows Staicy to capture that massive mobile-only audience and put our tools in their hands. Clean, native, fast — the Staicy Dashboard, reimagined for your pocket. Behind the scenes? We’ve been busy. With the traction we’ve seen — and word spreading fast across the industry — private equity lined up. By the end of this year, we will have invested over $1,000,000 into the Staicy modeling, buildout, ecosystem and marketing. And we’ve done it all without selling a single $SPORT token OTC, despite very lucrative offers to do so. No dilution. No backdoor deals. Just real backing and a clean cap table. You're not just watching this happen. You're part of it. Through Staicy Rewards and staking $SPORT, early supporters play a direct role in our growth — and benefit by sharing in those profits they've helped to generate. You believed early. You locked in your spot. And now we ride together. 🤝 The app isn’t just a product... it’s an asset. One that strengthens the ecosystem, drives demand, and gives the community something few projects ever deliver: tangible value tied to real-world scale, with a real-world business. CTO Nick is leading the charge, ensuring we ship with the performance, polish, and firepower expected from a leader in the space. Staicy is going mobile and global. You're at the ground floor of something truly revolutionary. Buckle up. 🚀📲

🚨 STAICY IS GOING MOBILE 🚨 We’re hyped to announce that the Staicy App is officially in development for iOS and Android — launching early Q4. The mobile app will exist alongside the web-based Dashboard, which is set to launch in the coming weeks. Why now? We follow the data. 📊 Market research shows that 91% of bettors use mobile apps to research and place bets. Even more eye-opening: data from 2024 revealed that over 100 million sports bettors globally access the internet exclusively from their smartphones — no desktop access at all. That number was too big to ignore. And we weren’t about to gamble on the mobile browser experience being “good enough.” We don’t cut corners. Period. The app allows Staicy to capture that massive mobile-only audience and put our tools in their hands. Clean, native, fast — the Staicy Dashboard, reimagined for your pocket. Behind the scenes? We’ve been busy. With the traction we’ve seen — and word spreading fast across the industry — private equity lined up. By the end of this year, we will have invested over $1,000,000 into the Staicy modeling, buildout, ecosystem and marketing. And we’ve done it all without selling a single $SPORT token OTC, despite very lucrative offers to do so. No dilution. No backdoor deals. Just real backing and a clean cap table. You're not just watching this happen. You're part of it. Through Staicy Rewards and staking $SPORT, early supporters play a direct role in our growth — and benefit by sharing in those profits they've helped to generate. You believed early. You locked in your spot. And now we ride together. 🤝 The app isn’t just a product... it’s an asset. One that strengthens the ecosystem, drives demand, and gives the community something few projects ever deliver: tangible value tied to real-world scale, with a real-world business. CTO Nick is leading the charge, ensuring we ship with the performance, polish, and firepower expected from a leader in the space. Staicy is going mobile and global. You're at the ground floor of something truly revolutionary. Buckle up. 🚀📲

Staicy

24,547 görüntüleme • 1 yıl önce

A16Z SPEEDRUN 2026 UPDATE: I think most people secretly know if they’re founders or not. Some of you can never be happy working inside a giant company, writing docs, in endless meetings. Deep down, you know you’re supposed to build. we're opening up a16z speedrun today! We are accepting applications for our 006 class, where we'll invest up to $1M. It's based in SF, kicking off Jan 2026 but you need to apply now in september. here's how to apply: And yes, we are investing up to $100M in the next 30 days -- it's all happening in september. Quit whatever it is that you're doing, and in 2026 come to SF and work with us out of Andreessen Horowitz's office in SOMA, alongside over a hundred other founders, building the startup you've always wanted to build. We will help you -- both myself and the a16z speedrun team. the details: - up to $1M of investment - hosted at a16z HQ in San Francisco - 12 week program, with an IRL kickoff, luminary speakers, community events - live events with the founders of Carta, Zynga, DoorDash, Behance, Airtable, Twilio, Figma, and more - private dinners/Q&A with Marc and Ben of a16z - apply now, and the deadline will be Sep 28 2025 for SR6 At a16z speedrun, you get access to programs from our operating team and work with experts in marketing, BD, talent, people and capital—more below MARKETING Our team of expert marketers is here to help you win. Whether refining your brand, launching, or building a thriving community, our marketing operators have powered dozens of startups with: - Brand Development -End-To-End Marketing Strategy -PR & Media Coverage -Go-To-Market Execution -Creators & Content TALENT Find and attract the talent you need to build and scale your company. Our curated network connects you with world-class technical talent, executives, advisors, and specialists who can help accelerate your success. Here’s how the program works: - You tell us what you’re looking for. - We use a16z speedrun's brand and referral networks to magnetize talent. - We take hundreds of calls each week to curate a list that we only send to speedrun founders. - You request introductions and we put you in touch. PEOPLE We help you quickly stand up the tools and practices needed to hire, manage, and lead highly performant teams. Our goal is to help you anticipate challenges and navigate some of the most foundational decisions you'll make as you build a world-class company. While a16z speedrun takes place in the US, we welcome founders and companies from around the world. Our Global Founders Program provides specialized guidance for navigating visas and relocation, plus dedicated access to our expert immigration attorney network, so you can focus your energy on building your company. BUSINESS DEVELOPMENT We unlock unparalleled access to networks, expertise, and tools that help startups scale faster. - $5M+ in free credits in our speedrun Marketplace from AWS, GCP, OpenAI, Anthropic, Microsoft, NVIDIA, Stripe, Deel, and many more. - Dedicated advisors & experts to guide you through every partnership, sales, and GTM motion, including crafting your business model and pricing. - Level up your sales with real live demo experience across various events to executives and operators in your target market. - Access to a16z’s network of executives & decision-makers at 2,000+ companies. CAPITAL One of the most important things a founder can do is raise money. Our fundraising program sets the stage for your raise through an in-person Demo Day and an online platform reaching 1,000+ top early-stage investors. We help you prepare with practice sessions, stress tests, and materials review. When you’re in high-stakes negotiations, we coach you, share insider knowledge, and leverage alumni intel on the investor across the table. More details: The a16z speedrun program is a fast‐paced, 12-week startup program that guides founders through every critical stage of their growth. It kicks off with an orientation to introduce the cohort, then dives into rapid product development—helping founders think through MVP while addressing key topics like customer acquisition and design partnerships. Throughout the program, startups benefit from expert-led sessions and interactive office hours that cover: - Brand Building & Go-to-Market Strategy: Crafting your story, marketing, and driving product-led growth. - Customer Acquisition & Launch: Securing early users and executing effective launch plans. - Fundraising & Strategic Partnerships: Pitching, navigating investment, and building lasting relationships. - Team Building & Operational Scaling: Developing high-performing teams and refining internal processes for sustained growth. - Community & Enterprise Sales: Building communities, forming strategic partnerships, and landing your first enterprise customers. - Product-Market Fit & Demo Day Prep: Assessing market traction which culminates in a Demo Day to showcase progress. The a16z speedrun program is IRL and runs for 12 intensive weeks in which our team of expert investors and operators guide your startup from idea to market launch. The program moves through sequential modules—each dedicated to key aspects such as rapid product development, go-to-market strategy, fundraising, team building, and operational scaling. Expect regular check-ins, one-on-one office hours, and interactive sessions, culminating in a Demo Day where you present your progress to potential investors.

andrew chen

5,940,041 görüntüleme • 1 yıl önce