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Gooey (liquid) effect Optimized for UI, 2 different types, works with shadows, build-in image melting effect, playground, zero dep npm install liquid-gooey

Jakub Antalik

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336,520 просмотров • 1 месяц назад •via X (Twitter)

Искусство Наука и технологии Образование

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Gooey library updated with a new melt and bend effects. Optimized for UI, cross-browser, 4 different effects, playground, zero dep npm install liquid-gooey

Gooey library updated with a new melt and bend effects. Optimized for UI, cross-browser, 4 different effects, playground, zero dep npm install liquid-gooey

Jakub Antalik

64,943 просмотров • 1 месяц назад

I created the best liquid glass effect in Figma To get it for Free: 1. Follow me - so I could DM 2. Comment "LIQUID" 3. RT (optional) - so more people get this

I created the best liquid glass effect in Figma To get it for Free: 1. Follow me - so I could DM 2. Comment "LIQUID" 3. RT (optional) - so more people get this

Augustas

49,289 просмотров • 1 год назад

I found an AI tool that turns a product image into a viral ugc ad Just upload a single product photo → type a description → Hit generate. What came out looked like a $1000 studio shoot. The feature is called "Product Showcase" and it’s available in Arcads. Here's the exact workflow DTC founders are using: → Go to and open composer → Click "See more" → Select "Product Showcase" → Pick any conversion-optimized template → Upload your product image → Add a short description and hit generate These templates are already optimized for 9:16 TikTok and Meta ads. Ready to publish the second they render. While competitors wait 2 weeks for influencer content and $500/clip, smart advertisers are testing 10 variations before lunch for pennies. Same quality. 1% of the cost. Zero delays. I am giving away a step-by-step guide to build an n8n automation that can create unlimited viral ads with Arcads. To get access, like + comment “arcads” and I’ll send it to you.

I found an AI tool that turns a product image into a viral ugc ad Just upload a single product photo → type a description → Hit generate. What came out looked like a $1000 studio shoot. The feature is called "Product Showcase" and it’s available in Arcads. Here's the exact workflow DTC founders are using: → Go to and open composer → Click "See more" → Select "Product Showcase" → Pick any conversion-optimized template → Upload your product image → Add a short description and hit generate These templates are already optimized for 9:16 TikTok and Meta ads. Ready to publish the second they render. While competitors wait 2 weeks for influencer content and $500/clip, smart advertisers are testing 10 variations before lunch for pennies. Same quality. 1% of the cost. Zero delays. I am giving away a step-by-step guide to build an n8n automation that can create unlimited viral ads with Arcads. To get access, like + comment “arcads” and I’ll send it to you.

Beginnersblog

67,157 просмотров • 8 месяцев назад

A moment suspended between Saudi Arabia's football passion and coffee tradition. GPT Image 2 + Seedance 2.0 on BudgetPixel AI prompt A highly cinematic, photorealistic single-shot sequence that preserves the exact original location, environment, architecture, objects, lighting conditions, camera perspective, and subject position from the source video. Do not replace, redesign, relocate, or alter the setting in any way. The person remains in the exact spot where they were filmed, maintaining their original pose, facial expression, body position, and interaction with the environment. The subject is wearing the official Saudi Arabia national football team uniform throughout the entire sequence: authentic green Saudi Arabia jersey with white details, official team crest, matching football shorts, athletic socks, and football boots. The uniform must appear naturally integrated into the original scene with realistic fabric folds, stitching, texture, shadows, reflections, and movement-free realism. Every background element, object, texture, structure, shadow, reflection, and environmental detail must remain identical to the original footage. The effect transforms the captured moment into a frozen-time cinematic sequence while keeping the real-world location completely unchanged. The subject is captured at the exact moment they pour a beverage from a transparent cup. Time has completely stopped. The liquid erupts from the cup in a dramatic suspended splash, forming elongated ribbons, twisting streams, intricate arcs, and hundreds of individual droplets frozen midair. Every droplet, splash fragment, and liquid strand appears perfectly suspended in space, creating the impression of a sculptural masterpiece made of liquid. The liquid spilling from the cup must be identical to the liquid inside the cup, with perfectly matching color, texture, thickness, reflections, transparency, and material properties. The beverage can be any type or color, but it must remain visually consistent throughout the scene with extreme realism. The subject remains absolutely motionless, frozen in the precise instant of action. Their posture, facial expression, fingertips, hair strands, jersey fabric folds, shorts texture, socks, football boots, accessories, and every micro-detail are perfectly preserved. Tiny condensation droplets on the cup, reflections on the surface, and subtle imperfections remain locked in place as if the entire world has been paused between two frames of time. The surrounding environment is equally frozen. Every object visible in the original footage remains completely static. Nothing moves. No wind, no shifting light, no falling droplets, no environmental motion. The entire world exists in a state of perfect suspension. The only moving element is the camera. The camera performs a slow, smooth cinematic arc movement around the subject, beginning from the original camera viewpoint and gradually orbiting to one side while maintaining focus on the frozen action. As the camera travels through three-dimensional space, it reveals changing perspectives of the suspended liquid sculpture, the Saudi Arabia football uniform, the subject, and the original environment. Strong spatial parallax is visible throughout the movement. Foreground droplets, liquid strands, the subject, nearby objects, and distant background elements shift relative to one another, creating a powerful sense of depth and dimensionality. The scene feels like moving through a perfectly preserved moment in time. Natural lighting remains consistent and unchanged throughout the shot. Shadows stay fixed, reflections remain stable, and materials such as glass, metal, stone, wood, fabric, football jersey fabric, embroidered team crest, and liquid exhibit highly detailed photorealistic textures. Captured with a premium wide-angle cinema lens, the scene emphasizes depth, scale, and immersive three-dimensional realism. The Saudi Arabia football uniform appears crisp, premium, and authentically detailed, with realistic fabric texture and professional sportswear quality. Core visual concept: The entire world is frozen in time exactly as it appeared in the original footage, like a hyper-detailed sculpture, while a subject wearing the Saudi Arabia national football team uniform pours a beverage that explodes into a suspended liquid masterpiece. The camera freely moves through the frozen moment, revealing dramatic parallax, depth, and cinematic realism from multiple angles. Style: Hyper-realistic, cinematic, ultra-detailed, 3D stop-motion illusion, frozen-time photography, volumetric depth, realistic lighting, film-quality rendering, smooth camera orbit, strong parallax, premium commercial sports production, museum-like suspended motion sculpture, exact environment preservation, original location consistency, photorealistic liquid simulation, luxury football advertisement aesthetic, FIFA World Cup promotional quality, 8K photorealism.

A moment suspended between Saudi Arabia's football passion and coffee tradition. GPT Image 2 + Seedance 2.0 on BudgetPixel AI prompt A highly cinematic, photorealistic single-shot sequence that preserves the exact original location, environment, architecture, objects, lighting conditions, camera perspective, and subject position from the source video. Do not replace, redesign, relocate, or alter the setting in any way. The person remains in the exact spot where they were filmed, maintaining their original pose, facial expression, body position, and interaction with the environment. The subject is wearing the official Saudi Arabia national football team uniform throughout the entire sequence: authentic green Saudi Arabia jersey with white details, official team crest, matching football shorts, athletic socks, and football boots. The uniform must appear naturally integrated into the original scene with realistic fabric folds, stitching, texture, shadows, reflections, and movement-free realism. Every background element, object, texture, structure, shadow, reflection, and environmental detail must remain identical to the original footage. The effect transforms the captured moment into a frozen-time cinematic sequence while keeping the real-world location completely unchanged. The subject is captured at the exact moment they pour a beverage from a transparent cup. Time has completely stopped. The liquid erupts from the cup in a dramatic suspended splash, forming elongated ribbons, twisting streams, intricate arcs, and hundreds of individual droplets frozen midair. Every droplet, splash fragment, and liquid strand appears perfectly suspended in space, creating the impression of a sculptural masterpiece made of liquid. The liquid spilling from the cup must be identical to the liquid inside the cup, with perfectly matching color, texture, thickness, reflections, transparency, and material properties. The beverage can be any type or color, but it must remain visually consistent throughout the scene with extreme realism. The subject remains absolutely motionless, frozen in the precise instant of action. Their posture, facial expression, fingertips, hair strands, jersey fabric folds, shorts texture, socks, football boots, accessories, and every micro-detail are perfectly preserved. Tiny condensation droplets on the cup, reflections on the surface, and subtle imperfections remain locked in place as if the entire world has been paused between two frames of time. The surrounding environment is equally frozen. Every object visible in the original footage remains completely static. Nothing moves. No wind, no shifting light, no falling droplets, no environmental motion. The entire world exists in a state of perfect suspension. The only moving element is the camera. The camera performs a slow, smooth cinematic arc movement around the subject, beginning from the original camera viewpoint and gradually orbiting to one side while maintaining focus on the frozen action. As the camera travels through three-dimensional space, it reveals changing perspectives of the suspended liquid sculpture, the Saudi Arabia football uniform, the subject, and the original environment. Strong spatial parallax is visible throughout the movement. Foreground droplets, liquid strands, the subject, nearby objects, and distant background elements shift relative to one another, creating a powerful sense of depth and dimensionality. The scene feels like moving through a perfectly preserved moment in time. Natural lighting remains consistent and unchanged throughout the shot. Shadows stay fixed, reflections remain stable, and materials such as glass, metal, stone, wood, fabric, football jersey fabric, embroidered team crest, and liquid exhibit highly detailed photorealistic textures. Captured with a premium wide-angle cinema lens, the scene emphasizes depth, scale, and immersive three-dimensional realism. The Saudi Arabia football uniform appears crisp, premium, and authentically detailed, with realistic fabric texture and professional sportswear quality. Core visual concept: The entire world is frozen in time exactly as it appeared in the original footage, like a hyper-detailed sculpture, while a subject wearing the Saudi Arabia national football team uniform pours a beverage that explodes into a suspended liquid masterpiece. The camera freely moves through the frozen moment, revealing dramatic parallax, depth, and cinematic realism from multiple angles. Style: Hyper-realistic, cinematic, ultra-detailed, 3D stop-motion illusion, frozen-time photography, volumetric depth, realistic lighting, film-quality rendering, smooth camera orbit, strong parallax, premium commercial sports production, museum-like suspended motion sculpture, exact environment preservation, original location consistency, photorealistic liquid simulation, luxury football advertisement aesthetic, FIFA World Cup promotional quality, 8K photorealism.

Sharon Riley

42,983 просмотров • 3 месяцев назад

Seedance 2.0 - Cinematic Summoning VFX Prompt This prompt generates a multi-cut VFX showcase with a clear progression. It’s designed for realistic 3D with grounded physics, natural character motion and readable, production-style VFX. You don’t need to define the summon, but you can specify what is being summoned if you want control. If you leave it open, the model decides based on the character sheet. You can find gpt image 2 character sheet prompt in the quoted post. Also, this isn’t limited to summoning. You can reuse the same VFX structure for anything, just swap the effect logic. Just change the parts about summoning. Prompt in the replies 👇

Seedance 2.0 - Cinematic Summoning VFX Prompt This prompt generates a multi-cut VFX showcase with a clear progression. It’s designed for realistic 3D with grounded physics, natural character motion and readable, production-style VFX. You don’t need to define the summon, but you can specify what is being summoned if you want control. If you leave it open, the model decides based on the character sheet. You can find gpt image 2 character sheet prompt in the quoted post. Also, this isn’t limited to summoning. You can reuse the same VFX structure for anything, just swap the effect logic. Just change the parts about summoning. Prompt in the replies 👇

Kōda

28,943 просмотров • 5 месяцев назад

🚨 Alibaba just open sourced a GUI agent that lives inside your webpage and controls it with natural language. It's called Page Agent and it's not a browser extension. It's pure JavaScript no Python, no Puppeteer, no headless browser, no screenshots. Just one script tag and your web app understands natural language. Here's what it actually does: → Embed it with a single tag or npm install → Control any web interface with plain English commands → Text-based DOM manipulation no OCR, no vision models needed → Bring your own LLM (GPT, Claude, Qwen, anything) → Ships a built-in UI with human-in-the-loop support → Turn 20-click ERP/CRM workflows into one sentence → Optional Chrome extension for multi-tab agent tasks → Works on any web app SaaS, admin panels, internal tools Companies are charging $30/month for AI copilots built on this exact idea. This is 3 lines of code. Your users. Your interface. The AI copilot layer for every web app just got open sourced. 1.6K stars. 100% Open Source. (Link in the comments)

🚨 Alibaba just open sourced a GUI agent that lives inside your webpage and controls it with natural language. It's called Page Agent and it's not a browser extension. It's pure JavaScript no Python, no Puppeteer, no headless browser, no screenshots. Just one script tag and your web app understands natural language. Here's what it actually does: → Embed it with a single tag or npm install → Control any web interface with plain English commands → Text-based DOM manipulation no OCR, no vision models needed → Bring your own LLM (GPT, Claude, Qwen, anything) → Ships a built-in UI with human-in-the-loop support → Turn 20-click ERP/CRM workflows into one sentence → Optional Chrome extension for multi-tab agent tasks → Works on any web app SaaS, admin panels, internal tools Companies are charging $30/month for AI copilots built on this exact idea. This is 3 lines of code. Your users. Your interface. The AI copilot layer for every web app just got open sourced. 1.6K stars. 100% Open Source. (Link in the comments)

Ihtesham Ali

135,634 просмотров • 6 месяцев назад

Many $IREN investors are waiting for an announcement from the company, to remove any doubts around Sweetwater 2 being included in batch zero baseload. At OnlyFrans, we prefer to follow the development facts, and as you can see in the time-lapse from the past 3 weeks, the progress is undeniable. Matching the rendering, the top-view from the satellite shows that the bulk substation earthworks are showing the typical IREN proportions. Roughly 2/3 of the footprint for the 345kV network, and the 1/3 smaller footprint above for the 138kV network. Further to the left, near the top of the image, we can see that the first signs for the two 300MW Primary substations are taking shape. I expect civil works to start in Q4, and after the stormwater works at Sweetwater 1 are done, I expect the main focus of the work to be stormwater management, in parallel with building out the bulk, and primary substations. Needless to say, Sweetwater 2 is batch zero baseload. Sweetwater 2 is an early example of the market moving before the rulebook did. In March 2025, IREN committed roughly $31m to secure 600MW with AEP — ~$51.7k/MW. Nearly a year later, Texas settled on a $50k/MW financial-security benchmark (under CIAC) for large loads entering Batch Zero. This means $IREN and AEP (the interconnecting TDSP for SW2) were already operating with the kind of financial commitment Texas would later require to separate real projects from speculative load requests. In other words: IREN was positioning its projects as real/financially committed rather than speculative well before Batch Zero forced everyone to do it. Think about it, if anyone would be compliant to the batch zero baseload requirements, wouldn't it be the company that had completed CIAC (Contribution in Aid of Construction) a year before it became mandatory for everyone else? I see a site progressing as if it's approved, and a connection progress that was completed before it became common knowledge. And somehow there are people that doubt that IREN will add 600MW of power next year? Now if you are interested to find out what else there is in batch zero baseload from IREN, you know where to go. Long $IREN

Many $IREN investors are waiting for an announcement from the company, to remove any doubts around Sweetwater 2 being included in batch zero baseload. At OnlyFrans, we prefer to follow the development facts, and as you can see in the time-lapse from the past 3 weeks, the progress is undeniable. Matching the rendering, the top-view from the satellite shows that the bulk substation earthworks are showing the typical IREN proportions. Roughly 2/3 of the footprint for the 345kV network, and the 1/3 smaller footprint above for the 138kV network. Further to the left, near the top of the image, we can see that the first signs for the two 300MW Primary substations are taking shape. I expect civil works to start in Q4, and after the stormwater works at Sweetwater 1 are done, I expect the main focus of the work to be stormwater management, in parallel with building out the bulk, and primary substations. Needless to say, Sweetwater 2 is batch zero baseload. Sweetwater 2 is an early example of the market moving before the rulebook did. In March 2025, IREN committed roughly $31m to secure 600MW with AEP — ~$51.7k/MW. Nearly a year later, Texas settled on a $50k/MW financial-security benchmark (under CIAC) for large loads entering Batch Zero. This means $IREN and AEP (the interconnecting TDSP for SW2) were already operating with the kind of financial commitment Texas would later require to separate real projects from speculative load requests. In other words: IREN was positioning its projects as real/financially committed rather than speculative well before Batch Zero forced everyone to do it. Think about it, if anyone would be compliant to the batch zero baseload requirements, wouldn't it be the company that had completed CIAC (Contribution in Aid of Construction) a year before it became mandatory for everyone else? I see a site progressing as if it's approved, and a connection progress that was completed before it became common knowledge. And somehow there are people that doubt that IREN will add 600MW of power next year? Now if you are interested to find out what else there is in batch zero baseload from IREN, you know where to go. Long $IREN

Frans Bakker

104,309 просмотров • 21 дней назад

home page hero ✨ Design notes: - "Forever" hero text dot pixel FX done in Unicorn Studio. (I will do a whole tutorial on this later. Unicorn's WebGL engine is absolutely wild and very powerful / robust) - built in Framer - I wanted to recreate the iOS unlock effect where your home screen icons cascade into place in a beautifully timed choreography. This took a lot of careful timing using Framer's "Appear" effect on the hero text and surrounding avatars because it was super important that we didn't lose the legibility of our main message ("Build Your Forever Audience") with all the animations. - If you look closely, the choreography is setup to lead your eye through the hero text first starting with "Build Your" then "Forever" and finally "Audience." - With those text layers in place + the surrounding avatars, there is a slight 1 sec pause before the remaining elements slide in below and above (How it works, CTA buttons, announcement badge, and lastly the main nav). - All told the entire loading sequence is 6 seconds - Custom particle system powers the interactive star field (the stars slowly gravitate to your pointer position, and the star field perspective changes ever so subtly as you move your mouse around on the page) - I have 3 shooting stars made of small white line layers that start out off canvas rotated at different angles that shoot across to another point off canvas at random times on a loop effect. - Given this hero scene is in space, I wanted the surrounding avatar elements to "float" in low gravity mode. For this I used Framer's loop effect that slowly oscillates the layer's y position. I then offset the delay of each element randomly to stagger the floating loop so each avatar floats independently/randomly - The final major treatment for this hero scene was the scroll animations on the avatars. I wanted to create a bit of a warp speed effect when you scroll down, as if the avatars were being pulled or sucked into a worm hole as you scroll down below this hero fold. - To accomplish this, I applied Framer's scroll transform affect set to "section in view" on each of the floating avatars, and set the "scroll to" position of the upper avatars to be much, much further away on the y-axis than the "scroll to" position of the lower avatars. (eg. -1700px on upper most avatars vs. -600px on lowest positioned avatars). This effectively causes the upper avatars to slide up off the hero canvas with much greater velocity than the lower positioned avatars. - And when you scroll back up to the hero section, the inverse happens where the lower positioned avatars "arrive back in place" from up above the hero canvas before the upper avatars come back into the scene and settle in place. - Overall I wanted this hero section to feel alive. The floating avatars, particle system with very subtle star movements, and the Caustics effect on the "Forever" text all sort of move at the pace of slow breathing - which is a great pace to create a sense of life and comfort in your scene. Conversion Results (so far) - When this new Framer site launched along with Calaxy v1.9 release on Base a couple weeks ago, we saw a surge in traffic, around 20k page views in the first few days. - Of those 20k hits, 11k visited the app install page ( - which is our main CTA - We saw around 10K new users in the first week after v1.9 launch Overall I'm very happy with the new site and early performance metrics. Lots of tweaking to do but its a good start. If you are a designer building in Framer - hit me with any questions on the above hero notes. Happy to share more specifics! 👾

Chadd Weston

16,401 просмотров • 11 месяцев назад

GPT Image 2 and Seedance 2.5 Prompt: Style: Cinematic live-action seamlessly blended with 2D hand-drawn line-art animation, using a playful rotoscoping-inspired transformation effect. Visual Direction: First-person POV throughout. A hand holding a blue pencil appears at the bottom of the frame, seemingly tracing over real-world objects. Wherever the pencil moves, the live-action environment gradually transforms into expressive 2D illustrations. Scene Transitions & Subjects: - Train: A white-and-green train travels across an elevated urban overpass. As the blue pencil traces along it, the train smoothly converts into clean black-and-white sketch line art, while retaining its movement and perspective. - Cat: An orange tabby cat casually walks along a paved sidewalk. The pencil follows its movement, transforming the cat into a white hand-drawn cartoon with stylized illustrated shadows. - Bus: A light-colored compact bus drives through the street. As it passes beneath the pencil’s tracing path, it morphs into a colorful pastel illustration with loose, artistic hand-drawn outlines. - Girl: A woman sits naturally on a bench in a narrow urban alley, looking at her phone. The pencil traces around her and the surroundings, seamlessly turning the scene into a stylized 2D color-block illustration. Tone & Atmosphere: Bright natural daylight, contemporary urban environment, playful and whimsical mood, fluid camera movement, dynamic transformations, and seamless transitions between realistic footage and hand-drawn animation. Overall Effect: The video should feel as though the blue pencil is literally drawing reality into an animated world, with each subject transforming organically rather than appearing as a sudden cut or visual effect.

GPT Image 2 and Seedance 2.5 Prompt: Style: Cinematic live-action seamlessly blended with 2D hand-drawn line-art animation, using a playful rotoscoping-inspired transformation effect. Visual Direction: First-person POV throughout. A hand holding a blue pencil appears at the bottom of the frame, seemingly tracing over real-world objects. Wherever the pencil moves, the live-action environment gradually transforms into expressive 2D illustrations. Scene Transitions & Subjects: - Train: A white-and-green train travels across an elevated urban overpass. As the blue pencil traces along it, the train smoothly converts into clean black-and-white sketch line art, while retaining its movement and perspective. - Cat: An orange tabby cat casually walks along a paved sidewalk. The pencil follows its movement, transforming the cat into a white hand-drawn cartoon with stylized illustrated shadows. - Bus: A light-colored compact bus drives through the street. As it passes beneath the pencil’s tracing path, it morphs into a colorful pastel illustration with loose, artistic hand-drawn outlines. - Girl: A woman sits naturally on a bench in a narrow urban alley, looking at her phone. The pencil traces around her and the surroundings, seamlessly turning the scene into a stylized 2D color-block illustration. Tone & Atmosphere: Bright natural daylight, contemporary urban environment, playful and whimsical mood, fluid camera movement, dynamic transformations, and seamless transitions between realistic footage and hand-drawn animation. Overall Effect: The video should feel as though the blue pencil is literally drawing reality into an animated world, with each subject transforming organically rather than appearing as a sudden cut or visual effect.

Sairah

22,162 просмотров • 1 месяц назад

Iran’s retaliation attacks after US attacks in Iran’s southern soil Following US attacks, Iran’s IRGC says it targeted: 🇯🇴 MQ-9 drone hangars & C&C center at Prince Hassan Air Base, Jordan 🇶🇦 Fighter jet maintenance & repair hub centers at US Al-Udeid Airbase, Qatar (❗️) 🇴🇲 The supply, logistics and refueling platforms for US Navy & aircrafts of the US Navy in Duqm, Oman Iran’s Army (Artesh) says it targeted: 🇰🇼 US Patriot system, ammunition depots, and radar sites of the US at a military base in Kuwait, with drones 🇧🇭 Communication systems, radar sites at US military sites in Bahrain Bahrain & Kuwait were the main source of attacks against Iran. Sirens were also activated in the UAE 🇦🇪 but no confirmed attack. • Footage 1: Iran Army drone launches towards US bases in Bahrain & Kuwait • Image 2: Smoke rising from the US Navy 5th fleet base, Bahrain • Footage 3: Additional smoke from US Navy 5th Fleet, Bahrain • Footage 4: IRGC ballistic missile launches towards US bases in the region, missiles included solid and liquid fuel types, such as Qadir, Emad, Khybar Shekan, Fateh-110, and Zolfaqar.

Iran’s retaliation attacks after US attacks in Iran’s southern soil Following US attacks, Iran’s IRGC says it targeted: 🇯🇴 MQ-9 drone hangars & C&C center at Prince Hassan Air Base, Jordan 🇶🇦 Fighter jet maintenance & repair hub centers at US Al-Udeid Airbase, Qatar (❗️) 🇴🇲 The supply, logistics and refueling platforms for US Navy & aircrafts of the US Navy in Duqm, Oman Iran’s Army (Artesh) says it targeted: 🇰🇼 US Patriot system, ammunition depots, and radar sites of the US at a military base in Kuwait, with drones 🇧🇭 Communication systems, radar sites at US military sites in Bahrain Bahrain & Kuwait were the main source of attacks against Iran. Sirens were also activated in the UAE 🇦🇪 but no confirmed attack. • Footage 1: Iran Army drone launches towards US bases in Bahrain & Kuwait • Image 2: Smoke rising from the US Navy 5th fleet base, Bahrain • Footage 3: Additional smoke from US Navy 5th Fleet, Bahrain • Footage 4: IRGC ballistic missile launches towards US bases in the region, missiles included solid and liquid fuel types, such as Qadir, Emad, Khybar Shekan, Fateh-110, and Zolfaqar.

Arya Yadegaar

63,186 просмотров • 2 месяцев назад

Very pleasantly surprised to discover Cursor cloud agents can playtest the godot game I built. See the (sped up) video below of the agent playtesting the game. As I was watching it play the game, I can see the agent slowly learn how the game works and familiarise with the game's UI. I also realised that the agent is a very 'safe' player, choosing to play very safely and retreating from battle if it foresees it can't defeat. Very interesting to see. I wonder if I could simulate different game playtester behaviours that mimic different types of real-world player archetypes. With agentic playtesting, this means that the agents are able to provide actual gameplay feedback and suggestions to improve the game, having played the game itself. This unlocks a whole lot of possibilities for AI-assisted game dev, since it closes the playtest loop. This feels like the future of recursive game development, where agents can now recursively build > playtest > improve the games they are working on. Thanks edwin for letting me know that these agents can actually playtest games, not just software! Very excited to dig deeper to see what I can do with these agents with computer access!

Very pleasantly surprised to discover Cursor cloud agents can playtest the godot game I built. See the (sped up) video below of the agent playtesting the game. As I was watching it play the game, I can see the agent slowly learn how the game works and familiarise with the game's UI. I also realised that the agent is a very 'safe' player, choosing to play very safely and retreating from battle if it foresees it can't defeat. Very interesting to see. I wonder if I could simulate different game playtester behaviours that mimic different types of real-world player archetypes. With agentic playtesting, this means that the agents are able to provide actual gameplay feedback and suggestions to improve the game, having played the game itself. This unlocks a whole lot of possibilities for AI-assisted game dev, since it closes the playtest loop. This feels like the future of recursive game development, where agents can now recursively build > playtest > improve the games they are working on. Thanks edwin for letting me know that these agents can actually playtest games, not just software! Very excited to dig deeper to see what I can do with these agents with computer access!

Danny Limanseta

52,432 просмотров • 7 месяцев назад

JENSEN HUANG UNVEILED A BOARD THAT RUNS 1 TRILLION PARAMETER AI MODELS. THE $249 NVIDIA BOX UNDER YOUR DESK KILLS A $200/MONTH AI BILL FOR $5 IN ELECTRICITY jensen held it up on stage with one hand and called it the architecture that runs the future of ai. that same technology now ships in a $249 box smaller than your wallet the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

JENSEN HUANG UNVEILED A BOARD THAT RUNS 1 TRILLION PARAMETER AI MODELS. THE $249 NVIDIA BOX UNDER YOUR DESK KILLS A $200/MONTH AI BILL FOR $5 IN ELECTRICITY jensen held it up on stage with one hand and called it the architecture that runs the future of ai. that same technology now ships in a $249 box smaller than your wallet the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

starmex

54,492 просмотров • 3 месяцев назад

How to build a viral Web3 app in an afternoon using the ChainGPT AI skill for Claude Code. No coding experience required. I built Roast My Wallet. Paste any Ethereum wallet address, get a savage AI-generated roast of your trading history, a Degen Score out of 100, an on-chain report card, and three AI-generated NFT portraits. Here's exactly how it came together. Setup (3 minutes): 🔸Install Claude Code at 🔸Run /plugin install ChainGPT-org/chaingpt-claude-skill 🔸Get an API key at 🔸Type /chaingpt and describe what you want to build What the skill actually does: The ChainGPT skill doesn't just give you starter code. It knows the entire API. Every endpoint, every parameter, every credit cost, every error code. When I asked it to build the roast feature, it knew to call the LLM endpoint, how to stream the response back to the browser in real time, and how to handle errors automatically. I didn't look up a single thing. How it works under the hood: 1. Pulls real ETH balance and transaction count from the Ethereum blockchain 2. Feeds those numbers into ChainGPT's LLM and streams the roast back live 3. Calculates a Degen Score from your tx count vs balance ratio 4. Generates a report card with letter grades across Trading, Patience, Risk, Diamond Hands, and NGMI 5. Uses the roast text to generate three custom NFT portraits in parallel via VeloGen 6. Packages everything into a downloadable PNG card ready to post 7. Every feature came from describing what I wanted: 8. "Make the API key server-side." Done. 9. "Add an animated arc gauge for the degen score." Done. 10. "Generate NFT portraits using the roast text as context." Done. I never wrote a function or debugged an API response. I described outcomes. The ChainGPT skill handled the rest. If you can describe what you want to build, you can build it. Get your API key. Install the skill. /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build with ChainGPT AI!

How to build a viral Web3 app in an afternoon using the ChainGPT AI skill for Claude Code. No coding experience required. I built Roast My Wallet. Paste any Ethereum wallet address, get a savage AI-generated roast of your trading history, a Degen Score out of 100, an on-chain report card, and three AI-generated NFT portraits. Here's exactly how it came together. Setup (3 minutes): 🔸Install Claude Code at 🔸Run /plugin install ChainGPT-org/chaingpt-claude-skill 🔸Get an API key at 🔸Type /chaingpt and describe what you want to build What the skill actually does: The ChainGPT skill doesn't just give you starter code. It knows the entire API. Every endpoint, every parameter, every credit cost, every error code. When I asked it to build the roast feature, it knew to call the LLM endpoint, how to stream the response back to the browser in real time, and how to handle errors automatically. I didn't look up a single thing. How it works under the hood: 1. Pulls real ETH balance and transaction count from the Ethereum blockchain 2. Feeds those numbers into ChainGPT's LLM and streams the roast back live 3. Calculates a Degen Score from your tx count vs balance ratio 4. Generates a report card with letter grades across Trading, Patience, Risk, Diamond Hands, and NGMI 5. Uses the roast text to generate three custom NFT portraits in parallel via VeloGen 6. Packages everything into a downloadable PNG card ready to post 7. Every feature came from describing what I wanted: 8. "Make the API key server-side." Done. 9. "Add an animated arc gauge for the degen score." Done. 10. "Generate NFT portraits using the roast text as context." Done. I never wrote a function or debugged an API response. I described outcomes. The ChainGPT skill handled the rest. If you can describe what you want to build, you can build it. Get your API key. Install the skill. /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build with ChainGPT AI!

ChainGPT

29,339 просмотров • 4 месяцев назад

I Combined ChatGPT 5.5 Image-2 + Claude Fable 5… And Built This FULL Game in JUST 8 Hours 😱 The World Has Officially Changed Forever Guys… I still can’t believe what I just pulled off. I took ChatGPT 5.5’s new Image-2 to generate every single visual characters, environments, UI, particles, everything and paired it with Claude Fable 5 for the entire codebase. The result? A complete, polished, fully playable game… finished in only 8 hours. No massive team. No months of crunch. No expensive asset packs. Image-2 created mind-blowing art assets on demand. Fable 5 turned those images into real, working code mechanics, physics, AI, animations, menus everything. This hybrid combo is straight-up sorcery. The world has truly changed. We are no longer waiting years for games to be made. One person + these two god-tier AIs just built something that used to require entire studios and huge budgets… in less than a single workday. This is the next level of human civilization. This is what creation looks like from now on. But here’s the crazy part: This free access ends June 22, 2026. After that, you’ll have to pay/subscribe to keep using it. If you’ve been waiting to see what the future of game dev actually looks like… THIS IS IT. Go try it right now before the paywall hits. Don’t sleep on this. Seriously. Drop in the comments: What game should I build next with this insane Image-2 + Fable 5 hybrid? Like if your mind is blown too 🔥 And tag a friend who NEEDS to see this before it’s gone. The future isn’t coming… It’s already here. And it’s free for one more day only. #Fable5 #ChatGPT55 #Image2 #AIHybrid #GameDevRevolution

I Combined ChatGPT 5.5 Image-2 + Claude Fable 5… And Built This FULL Game in JUST 8 Hours 😱 The World Has Officially Changed Forever Guys… I still can’t believe what I just pulled off. I took ChatGPT 5.5’s new Image-2 to generate every single visual characters, environments, UI, particles, everything and paired it with Claude Fable 5 for the entire codebase. The result? A complete, polished, fully playable game… finished in only 8 hours. No massive team. No months of crunch. No expensive asset packs. Image-2 created mind-blowing art assets on demand. Fable 5 turned those images into real, working code mechanics, physics, AI, animations, menus everything. This hybrid combo is straight-up sorcery. The world has truly changed. We are no longer waiting years for games to be made. One person + these two god-tier AIs just built something that used to require entire studios and huge budgets… in less than a single workday. This is the next level of human civilization. This is what creation looks like from now on. But here’s the crazy part: This free access ends June 22, 2026. After that, you’ll have to pay/subscribe to keep using it. If you’ve been waiting to see what the future of game dev actually looks like… THIS IS IT. Go try it right now before the paywall hits. Don’t sleep on this. Seriously. Drop in the comments: What game should I build next with this insane Image-2 + Fable 5 hybrid? Like if your mind is blown too 🔥 And tag a friend who NEEDS to see this before it’s gone. The future isn’t coming… It’s already here. And it’s free for one more day only. #Fable5 #ChatGPT55 #Image2 #AIHybrid #GameDevRevolution

Zayro.ETH

28,031 просмотров • 3 месяцев назад

Robot Utility Models (RUMs) enable basic tasks – door opening, drawer opening, object reorientation, etc. – at ~90% accuracy without ANY finetuning (i.e. zero-shot) in unseen new environments. Fully open source!!! models, data, code & hw. We think this is super exciting, why?👇 1. Unlocks many practical home utility tasks that often involve these basic tasks as part of an action chain. “Go get me a fork” involves opening the kitchen door and then opening the cutlery drawer. 2. This works well **zero-shot in unseen and new** environments, which is practically a huge deal. Turn the robot on, and get going. 3. The recipe for building a new model is fairly generic, and we think with a bit more refinement this can be a general recipe to build many more Utility models. More details and access 👇

Robot Utility Models (RUMs) enable basic tasks – door opening, drawer opening, object reorientation, etc. – at ~90% accuracy without ANY finetuning (i.e. zero-shot) in unseen new environments. Fully open source!!! models, data, code & hw. We think this is super exciting, why?👇 1. Unlocks many practical home utility tasks that often involve these basic tasks as part of an action chain. “Go get me a fork” involves opening the kitchen door and then opening the cutlery drawer. 2. This works well zero-shot in unseen and new environments, which is practically a huge deal. Turn the robot on, and get going. 3. The recipe for building a new model is fairly generic, and we think with a bit more refinement this can be a general recipe to build many more Utility models. More details and access 👇

Mahi Shafiullah 🏠🤖

89,535 просмотров • 2 лет назад

this effect is all over tiktok right now and nobody's explaining how to actually do it properly... the 3d balloon character thing. where someone turns into a shiny inflatable version of themselves that still moves and talks. looks pretty smooth in feeds. the workflow is stupid simple once you see it. step 1: take any photo. drop it into an image gen tool (nano banana pro). prompt it with something like "make the person in the photo a plastic blow up balloon character with a shiny surface. keep the face details as 3d balloon details including the person in the background. don't change background" that's it for the image. don't overcomplicate the prompt. shorter = more consistent results. (learned this after wasting like 2 hours trying to get "perfect" prompts that kept giving me garbage) step 2: take that balloon image + your original video and drop both into kling motion control. prompt: "turn the motion and detailed mouth movement of the video to the setting of the image" that's literally it. kling maps the motion from the real video onto the balloon character. mouth moves. head turns. expressions transfer. the whole thing renders in a few minutes. the result looks like a $500 custom animation and costs you maybe $0.30 in kling credits. people are getting 500k+ views with these because the scroll-stop factor is insane. nobody expects to see a shiny inflatable version of someone giving a real speech or doing a product review. the play here is obvious btw. run this for client content (mix with the hook and real body, check the results yourself) or use it on your own faceless channels as a hook pattern before the algo catches up...

this effect is all over tiktok right now and nobody's explaining how to actually do it properly... the 3d balloon character thing. where someone turns into a shiny inflatable version of themselves that still moves and talks. looks pretty smooth in feeds. the workflow is stupid simple once you see it. step 1: take any photo. drop it into an image gen tool (nano banana pro). prompt it with something like "make the person in the photo a plastic blow up balloon character with a shiny surface. keep the face details as 3d balloon details including the person in the background. don't change background" that's it for the image. don't overcomplicate the prompt. shorter = more consistent results. (learned this after wasting like 2 hours trying to get "perfect" prompts that kept giving me garbage) step 2: take that balloon image + your original video and drop both into kling motion control. prompt: "turn the motion and detailed mouth movement of the video to the setting of the image" that's literally it. kling maps the motion from the real video onto the balloon character. mouth moves. head turns. expressions transfer. the whole thing renders in a few minutes. the result looks like a $500 custom animation and costs you maybe $0.30 in kling credits. people are getting 500k+ views with these because the scroll-stop factor is insane. nobody expects to see a shiny inflatable version of someone giving a real speech or doing a product review. the play here is obvious btw. run this for client content (mix with the hook and real body, check the results yourself) or use it on your own faceless channels as a hook pattern before the algo catches up...

KNOX

25,773 просмотров • 7 месяцев назад

Ice hits, can slams. Fizz explodes. Zero story, pure product. SOLA — sparkling yuzu, hard cuts only. Made with Minimax H3 on Fish Creative Prompt: Flat 2D vector motion graphics commercial advertisement, 15 seconds, 16:9 widescreen, high energy product-focused ad style, zero storytelling, zero narrative arc, pure fast paced product hero showcase. Inspired by Pinterest botanical sparkling-can packaging (clean fruit-soda cans, Twist-style fruit fizz, Petali botanical soda, tropical mocktail cans) but fully original. Tokyo modern editorial pop with risograph print sensibility, refined premium energy, non-stop motion in every single frame, hard cuts only, no dissolves, no static holds until the final end card. Subtle paper grain and risograph ink texture throughout. Cool porcelain background base color hex F4F1EA, generous negative space, grid-aligned composition. Locked palette of three colors only: deep ink teal hex 123C3A, luminous citron hex E8F06A, pure white, plus faint ice-mint highlights. No other colors anywhere in frame. The product is a fictional sparkling yuzu soda brand called SOLA, a sleek deep teal can with a minimal white sun-burst yuzu slice emblem and a thin citron ring accent, consistent in every scene. AUDIO LAYER, drives the cut timing: warm punchy French-house-flavored electronic commercial track, four on the floor kick starting at 0.0s, bass drop synced to the can launch at 4.0s, whoosh sound effect on every camera whip pan, sharp crack sound effect on the can opening, fizzy sustained sparkle sound during the fizz explosion, deep sub bass thud on every impact and squash landing, glass clink sound effect on every ice cube landing, citrus peel snap on fruit slice hits, rising riser sound effect building into the logo lock, satisfying snap sound effect on the logo lock, music hits a full stop exactly on the final frame. SCENE 1, 0.0s to 1.0s: bold editorial open, a sweeping citron light ray wipes diagonally across the clean porcelain background in one confident motion, revealing a rising deep teal silhouette taking shape behind it, sharp and deliberate, zero clutter, premium controlled energy, a thin hairline teal rule draws itself across the lower third, kick drum hits exactly on the wipe. SCENE 2, 1.0s to 2.0s: hard cut, the silhouette snaps into full color and detail as the SOLA soda can in a single confident beat, condensation already gleaming on its surface as flat white crescent shapes, soft upward white rays radiating behind it, camera holds a slow deliberate push in, poised and polished rather than chaotic. SCENE 3, 2.0s to 3.0s: hard cut, the circular white yuzu-slice sun emblem with a citron ring flashes onto the can face with a sharp lens flare burst and a satisfying mechanical snap, one clean ring of citron light pulses outward once and fades, tiny white small-caps microtype arcs around the emblem, confident and premium. SCENE 4, 3.0s to 4.0s: quick controlled zoom out, the can now fully formed hangs centered and commanding in frame over vast porcelain negative space, camera whip reframes to hero angle, tension builds for one beat, bass drop hits exactly as the can launches. SCENE 5, 4.0s to 5.2s: hard cut, the can launches downward from its hover like a meteor, trailing a white ice crystal comet tail and curved teal speed lines, slams into center frame with heavy squash and stretch, ground cracks outward in a starburst pattern, radial citron and teal shockwave ring bursts from the impact point, sub bass thud lands on impact. SCENE 6, 5.2s to 6.2s: hard cut, six chunky white ice cubes cannonball into frame from both left and right edges in a fast alternating rhythm, each landing throws flat white splash droplets outward in a fan burst, glass clink sound effect on every landing, camera whip pans following the rhythm left then right. SCENE 7, 6.2s to 7.4s: hard cut, extreme close push into the can top, the tab cracks open in one sharp motion, crack sound effect syncs exactly to the open, a vertical explosion of white fizz and faint ice-mint sparkling soda rockets straight up past the top of frame, camera shakes once on the burst. SCENE 8, 7.4s to 8.8s: hard cut, three flat white yuzu wheels slice in from the top edge and pin themselves around the can in a tight orbit, each slice throws a thin citron juice arc, citrus peel snap on every hit, camera orbits 20 degrees around the hero can, still locked to 16:9 center. SCENE 9, 8.8s to 10.2s: hard cut, the can tilts and pours a graphic stream of white sparkling liquid into a waiting teal-outlined glass at lower right, liquid fills in stepped beats, ice cubes already inside bounce once, fizz beads climb the glass wall as small white dots, whoosh on the pour start. SCENE 10, 10.2s to 11.6s: hard cut, three matching SOLA cans slam into a tight diagonal product stack from off-frame, each lands with squash and a teal shock ring, middle can stays hero-size, condensation crescents multiply, camera whip to a low 16:9 product-shelf angle. SCENE 11, 11.6s to 13.2s: hard cut, bold teal wordmark SOLA slams on from the left as oversized editorial type, citron underline draws itself in one stroke beneath it, micro line YUZU SPARKLING snaps under in tiny white small-caps, riser builds hard. SCENE 12, 13.2s to 15.0s: hard cut to end card, single centered SOLA can, emblem locked, vast porcelain negative space, teal wordmark and citron ring lock into final position with a snap, one last white fizz sparkle flickers once at the can rim then freezes. Hold only on the last frame. Music stops dead on 15.0s.

Jessica Collins

12,337 просмотров • 27 дней назад