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Launching Vibecut A video editor, vibe coded during livestream in 50 hours, ~80 prompts with threejs MIT License, link below Features: - 30 FPS default - Multi Tracks - Drag clips across tracks - Multi media (img, video, audio, text) - Animations (text) - Export and render - Move,... show more

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FLUX 3 Video is live in ComfyUI via Partner Nodes Black Forest Labs FLUX 3 Model highlights: → 20s in a single generation → native audio, not dubbed on after → text-to-video, image-to-video, keyframes, continuation → multi-scene and multi-angle in one prompt → multilingual dialogue with lipsync that holds → typography that sits in the scene → chain clips agentically for longer stories One model across video, audio, image, and action. Click the link below to download the workflows and learn more with blog

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SITUATION EXPLAINED: MiniMax released H3 with open weights, and it's already #1 in video editing. • Priced at $7.80 per minute of 2K video, against Seedance 2.0 at $22.45 and Kling 3.0 at $20.16 • It ranks #1 on Artificial Analysis for video editing, #2 for text-to-video behind Gemini Omni Flash, and #3 for image-to-video • H3 takes text, images, video, and audio in a single context and generates 5-15 second clips at native 2K, 24fps, with native stereo audio • MiniMax is releasing the weights under its Community License within days, which would make it the strongest open-weights video model by a wide margin • It launched the same week ByteDance rolled out Seedance 2.5, which now generates 30-second 4K video from a single prompt • Seedance 2.5's face consistency across a full 30 seconds is the visible jump, earlier models drifted into a different face partway through • Voices are still the obvious tell, the video reads as real long before the audio does • Smaller labs building purpose-built video models are now beating frontier labs at this specific task Theo Jaffee: "This is gonna be one of the biggest examples of things that people are gonna do with these models, historical simulations, basically. Nostalgia videos for zoomers."

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The wait is finally over! A lot of you have been asking what platform I’ve been using to create those amazing Seedance 2.0 videos I’ve been sharing lately. Here’s the answer: TopviewAI And it’s not just about getting access to the best AI video model out there. Seedance 2.0 is now live on Topview... with 365 days of unlimited use. That alone is a big shift. Because while most AI video tools still keep you stuck in 5–15s clips and fragmented workflows… This is built for actual filmmaking. With Topview Agent V2 you can: – Create long-form video with no duration limits – Generate multi-scene sequences in a single workflow – Edit everything on a unified timeline – Go from idea➡️storyboard➡️final video – Generate videos fast (really fast) – Use Image to Video, Text to Video, and Omnireference No patchwork. No jumping between tools. This is what happens when AI video stops being a toy. Smart automation + pinpoint control. In the next post of the thread, I’ll give you more information 👇

OscarAI

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I've built an AI agent that generates a logline of its choosing, creates text-to-video clips via 'scenes' it prompts with Luma, and then stitches them together automatically—even adding background music if you happen to have some present! At first, I let the model run wild—no direction, just "generate an interesting logline & prompts", basically. The results were quite interesting, but style was a bit all over the place (which was kinda cool in some ways actually). Then, I refined the prompt it was using to create the content—attempting to focus on cinematic feeling, character consistency (age, hair, ethnicity, name), and visual style. The idea is to build it out so that it can (hopefully) stick to genre, director influence, and a cohesive color palette. That will take some time, though. The agent is fully autonomous. It: Writes a story/logline and then the corresponding prompts Generates video clips Downloads them Stitches them into a final video (Optional) Adds background music all in one shot (it just takes ~5-10 minutes, and generates 17 clips or so at this time - I was using 30 as well but shortened it to test). You can upload your own background music to merge seamlessly, too. I'm working on more integrations to refine the output even further. Right now, I want everyone to try it out, but you'll likely need to upload your own API keys (because I'm broke 😂). Still figuring out the best way to share it! I'll have to explore Replit or Gradio, but that will be a little bit either tonight or tomorrow. The final video below shows where it's at as of right now. And in the comments, I’ve included different outputs—some completely chaotic, others more polished after prompt tuning.

I've built an AI agent that generates a logline of its choosing, creates text-to-video clips via 'scenes' it prompts with Luma, and then stitches them together automatically—even adding background music if you happen to have some present! At first, I let the model run wild—no direction, just "generate an interesting logline & prompts", basically. The results were quite interesting, but style was a bit all over the place (which was kinda cool in some ways actually). Then, I refined the prompt it was using to create the content—attempting to focus on cinematic feeling, character consistency (age, hair, ethnicity, name), and visual style. The idea is to build it out so that it can (hopefully) stick to genre, director influence, and a cohesive color palette. That will take some time, though. The agent is fully autonomous. It: Writes a story/logline and then the corresponding prompts Generates video clips Downloads them Stitches them into a final video (Optional) Adds background music all in one shot (it just takes ~5-10 minutes, and generates 17 clips or so at this time - I was using 30 as well but shortened it to test). You can upload your own background music to merge seamlessly, too. I'm working on more integrations to refine the output even further. Right now, I want everyone to try it out, but you'll likely need to upload your own API keys (because I'm broke 😂). Still figuring out the best way to share it! I'll have to explore Replit or Gradio, but that will be a little bit either tonight or tomorrow. The final video below shows where it's at as of right now. And in the comments, I’ve included different outputs—some completely chaotic, others more polished after prompt tuning.

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Here are 10 AI video editor GitHub repos worth bookmarking: 1. Shotcut Most actively maintained open source video editor in 2026. 14K stars. Cross-platform with AI-assisted features. Just shipped a new release April 30, 2026. 2. Kdenlive The closest open source alternative to Adobe Premiere Pro. Multi-track editing, proxy editing, VST audio, and customizable workspace. Best for professional workflows. 3. OpenShot The easiest entry point for beginners. Drag and drop, 400+ transitions, 3D titles, and AI-assisted trimming. 5,700 stars. 4. Blender Not just 3D. Blender's video sequence editor and compositing pipeline is used in professional film production. 18,300 stars. Unmatched for VFX. 5. Recordly Screen recorder with auto-zoom, cursor polish, webcam overlays, and styled frames built in. Built for demo videos and walkthroughs. 6. Wan2.1 Alibaba's open source text-to-video model. Cinema-grade 1080p generation. Apache 2.0. The gold standard for open source video generation in 2026. 7. HunyuanVideo Tencent's 13B parameter open source video model. 11.9K stars. Handles 720p and 1080p with high temporal coherence. 8. CogVideoX Apache 2.0 licensed. Loads natively via Hugging Face Diffusers. Strong prompt following and smooth frame transitions. Needs 16GB VRAM minimum. 12.5K stars. 9. Open-Sora Most starred open source video generation project at 24K stars. Full training pipeline for $200K. Production-level output quality. 10. Mochi 1 Focused entirely on motion quality. The most natural-looking physics of any open source video model. Water, fabric, and human gestures without AI jitter. Apache 2.0.

Here are 10 AI video editor GitHub repos worth bookmarking: 1. Shotcut Most actively maintained open source video editor in 2026. 14K stars. Cross-platform with AI-assisted features. Just shipped a new release April 30, 2026. 2. Kdenlive The closest open source alternative to Adobe Premiere Pro. Multi-track editing, proxy editing, VST audio, and customizable workspace. Best for professional workflows. 3. OpenShot The easiest entry point for beginners. Drag and drop, 400+ transitions, 3D titles, and AI-assisted trimming. 5,700 stars. 4. Blender Not just 3D. Blender's video sequence editor and compositing pipeline is used in professional film production. 18,300 stars. Unmatched for VFX. 5. Recordly Screen recorder with auto-zoom, cursor polish, webcam overlays, and styled frames built in. Built for demo videos and walkthroughs. 6. Wan2.1 Alibaba's open source text-to-video model. Cinema-grade 1080p generation. Apache 2.0. The gold standard for open source video generation in 2026. 7. HunyuanVideo Tencent's 13B parameter open source video model. 11.9K stars. Handles 720p and 1080p with high temporal coherence. 8. CogVideoX Apache 2.0 licensed. Loads natively via Hugging Face Diffusers. Strong prompt following and smooth frame transitions. Needs 16GB VRAM minimum. 12.5K stars. 9. Open-Sora Most starred open source video generation project at 24K stars. Full training pipeline for $200K. Production-level output quality. 10. Mochi 1 Focused entirely on motion quality. The most natural-looking physics of any open source video model. Water, fabric, and human gestures without AI jitter. Apache 2.0.

Kanika

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Claude Code can now make full videos from your terminal.. Not slideshows. Not text on screen.. Actual motion graphics with animations, transitions, custom photos, and background music. [ SHARED A TUTORIAL BELOW EDITED WITH THIS SETUP IN JUST 5mins ] ▫️Here's the setup: Claude Code + Remotion Remotion is a React based framework that renders video programmatically. You describe what you want in plain English, Claude writes the React components and Remotion renders it into a real MP4. What you can actually do with this: > Generate 9:16 vertical videos for TikTok / Reels / Shorts > Add animated text with viral hooks and safe zones > Pull live web screenshots directly into your scenes using Chrome MCP > Fact-check your content in real time with Perplexity MCP > Drop in your own photos and background music > Edit existing talking-head footage cut bloopers, add captions > Schedule posts to your socials straight from the terminal ▫️How to set it up (takes 5 minutes) : > Make sure you have Node.js installed ( node -v to check ) > Create a new Remotion project: npx create-video@latest Pick the Blank template, enable TailwindCSS, and install the Skills package when prompted. > Install dependencies: cd my-video npm install > Start the preview server: npm run dev > Open Claude Code in the same project folder: cd my-video claude That's it. You can now prompt videos in plain English. If you already have a Remotion project, just add the skill directly: npx skills add remotion-dev/skills This drops a SKILL.md into your project that gives Claude expert knowledge of Remotion.. animations, compositions, captions, assets, 3D content everything. Example prompt you can steal: "Create a 30-second 9:16 vertical video about the top 3 AI tools this week. Use animated text with a hook in the first 2 seconds. Add smooth transitions between scenes. Keep text in the safe zone for TikTok. Use a dark tech aesthetic with blue accent colors." Claude writes all the React code, renders a preview, you tweak with natural language, and export when ready. The crazy part is this whole pipeline is local, free (minus your Claude sub), and you never open a video editor. imo this kills CapCut for anyone making info-style content. You describe the video in English and get back a rendered MP4. try it now.

Claude Code can now make full videos from your terminal.. Not slideshows. Not text on screen.. Actual motion graphics with animations, transitions, custom photos, and background music. [ SHARED A TUTORIAL BELOW EDITED WITH THIS SETUP IN JUST 5mins ] ▫️Here's the setup: Claude Code + Remotion Remotion is a React based framework that renders video programmatically. You describe what you want in plain English, Claude writes the React components and Remotion renders it into a real MP4. What you can actually do with this: > Generate 9:16 vertical videos for TikTok / Reels / Shorts > Add animated text with viral hooks and safe zones > Pull live web screenshots directly into your scenes using Chrome MCP > Fact-check your content in real time with Perplexity MCP > Drop in your own photos and background music > Edit existing talking-head footage cut bloopers, add captions > Schedule posts to your socials straight from the terminal ▫️How to set it up (takes 5 minutes) : > Make sure you have Node.js installed ( node -v to check ) > Create a new Remotion project: npx create-video@latest Pick the Blank template, enable TailwindCSS, and install the Skills package when prompted. > Install dependencies: cd my-video npm install > Start the preview server: npm run dev > Open Claude Code in the same project folder: cd my-video claude That's it. You can now prompt videos in plain English. If you already have a Remotion project, just add the skill directly: npx skills add remotion-dev/skills This drops a SKILL.md into your project that gives Claude expert knowledge of Remotion.. animations, compositions, captions, assets, 3D content everything. Example prompt you can steal: "Create a 30-second 9:16 vertical video about the top 3 AI tools this week. Use animated text with a hook in the first 2 seconds. Add smooth transitions between scenes. Keep text in the safe zone for TikTok. Use a dark tech aesthetic with blue accent colors." Claude writes all the React code, renders a preview, you tweak with natural language, and export when ready. The crazy part is this whole pipeline is local, free (minus your Claude sub), and you never open a video editor. imo this kills CapCut for anyone making info-style content. You describe the video in English and get back a rendered MP4. try it now.

Axel Bitblaze 🪓

31,250 Aufrufe • vor 4 Monaten

CSS Tip! 🐳 You can add little details like this scale down on scroll effect with scroll-driven animations and some sticky positioning 🤙 section { animation: scale-down; animation-timeline: view(); animation-range: exit; } @keyframes scale-down { to { scale 0.8; } ] In this smaller example, you can lean into using the position to drive an animation that scales itself down as it leaves the viewport (Seen on the Apple Vision Pro site 🍏) The nice thing here is that if you don't have scroll-driven animations, the user still gets a good experience ✨ So how do you do it? There isn't much to it header { transform-origin: 50% 0%; animation: scale-down both ease-in; animation-timeline: view(); animation-range: exit; view-timeline: --header; } @keyframes scale-down { to { scale: 0.8 0.8; } } That's it. The layout makes use of position: sticky so that the element stays in the shot whilst you scroll the page. As it leaves the page, it scales down inside the 🫶 The other smol animation here is fading the overlay on the video out 😎 Real easy. You may notice the view-timeline you defined above for the 👀 header { view-timeline: --header; } You have a pseudoelement on the text content of the header that lives inside a header > section::before { background: hsl(0 0% 0% / 0.75); opacity: 1; animation: fade both linear; animation-timeline: --header; animation-range: exit-crossing 0% exit 0%; } @keyframes fade { to { opacity: 0; } } You use a slightly smaller range on this with exit-crossing to fade it out before you start the scale down animation 🤏 That's it! Thought this smaller example would be easier to grok for people 🙏 It's also covered with JavaScript if you really want it for your sites 🤙 CodePen.IO link below 👇

CSS Tip! 🐳 You can add little details like this scale down on scroll effect with scroll-driven animations and some sticky positioning 🤙 section { animation: scale-down; animation-timeline: view(); animation-range: exit; } @keyframes scale-down { to { scale 0.8; } ] In this smaller example, you can lean into using the position to drive an animation that scales itself down as it leaves the viewport (Seen on the Apple Vision Pro site 🍏) The nice thing here is that if you don't have scroll-driven animations, the user still gets a good experience ✨ So how do you do it? There isn't much to it header { transform-origin: 50% 0%; animation: scale-down both ease-in; animation-timeline: view(); animation-range: exit; view-timeline: --header; } @keyframes scale-down { to { scale: 0.8 0.8; } } That's it. The layout makes use of position: sticky so that the element stays in the shot whilst you scroll the page. As it leaves the page, it scales down inside the 🫶 The other smol animation here is fading the overlay on the video out 😎 Real easy. You may notice the view-timeline you defined above for the 👀 header { view-timeline: --header; } You have a pseudoelement on the text content of the header that lives inside a header > section::before { background: hsl(0 0% 0% / 0.75); opacity: 1; animation: fade both linear; animation-timeline: --header; animation-range: exit-crossing 0% exit 0%; } @keyframes fade { to { opacity: 0; } } You use a slightly smaller range on this with exit-crossing to fade it out before you start the scale down animation 🤏 That's it! Thought this smaller example would be easier to grok for people 🙏 It's also covered with JavaScript if you really want it for your sites 🤙 CodePen.IO link below 👇

jhey ʕ•ᴥ•ʔ

146,270 Aufrufe • vor 2 Jahren

Introducing the Clips chrome extension - the easiest way to send bug reports to agents with video, transcript, and browser debug info captured automatically. 100% free and open source. If you are like me and get tired of manually typing instructions to agents, attaching screenshots, pasting debug logs, and all of that, this might be your new favorite tool. With the Clips chrome extension, you can just click the Clips icon, hit record, and start talking. Visually demonstrate your issue, go through the flow, point out what’s broken. Clips will capture everything on your screen, plus network requests, browser logs, client errors, and all the details around them. And it redacts sensitive information. Then it gives you a link you can send to humans so they can play it and take a look. Or, more importantly, just give it to your agents by just pasting the URL to them. The link has special metadata for agents so just from the URL, the agent can pull all information from the clip automatically. No plugin or MCP server required. That means it can "see and hear" what’s in the video - read the transcript, grab snapshots at any timestamp, and inspect the logs and network requests that were shared with it. So whether you want to quickly demo an issue and send all that context to an agent, or get better bug reports from teammates, recording and sending Clips makes that super easy. Unlike expensive apps like Loom, this is all 100% free and open source. The framework that powers this, plus a bunch of other free applications, is open source too. You can just sign up and use it, or fork it and customize it to your needs. This, in my opinion, is the future of software. Rather than bloated SaaS that charges you a ton of money and still doesn’t even have the things you need, we get free open source canonical apps that you can fork and customize in any way you want. I'll link to all this stuff in the replies. If you try it, let me know your feedback.

Introducing the Clips chrome extension - the easiest way to send bug reports to agents with video, transcript, and browser debug info captured automatically. 100% free and open source. If you are like me and get tired of manually typing instructions to agents, attaching screenshots, pasting debug logs, and all of that, this might be your new favorite tool. With the Clips chrome extension, you can just click the Clips icon, hit record, and start talking. Visually demonstrate your issue, go through the flow, point out what’s broken. Clips will capture everything on your screen, plus network requests, browser logs, client errors, and all the details around them. And it redacts sensitive information. Then it gives you a link you can send to humans so they can play it and take a look. Or, more importantly, just give it to your agents by just pasting the URL to them. The link has special metadata for agents so just from the URL, the agent can pull all information from the clip automatically. No plugin or MCP server required. That means it can "see and hear" what’s in the video - read the transcript, grab snapshots at any timestamp, and inspect the logs and network requests that were shared with it. So whether you want to quickly demo an issue and send all that context to an agent, or get better bug reports from teammates, recording and sending Clips makes that super easy. Unlike expensive apps like Loom, this is all 100% free and open source. The framework that powers this, plus a bunch of other free applications, is open source too. You can just sign up and use it, or fork it and customize it to your needs. This, in my opinion, is the future of software. Rather than bloated SaaS that charges you a ton of money and still doesn’t even have the things you need, we get free open source canonical apps that you can fork and customize in any way you want. I'll link to all this stuff in the replies. If you try it, let me know your feedback.

Steve (Builder.io)

60,574 Aufrufe • vor 1 Monat

SOMEONE BUILT A TOOL THAT TURNS A SCREENSHOT INTO A CINEMATIC PRODUCT VIDEO you drop in a product screenshot or app screen and it spits out a polished cinematic shot or app store preview video in seconds it comes loaded with every editing option you'd actually pay a pro for: > motion presets like drift, tilt loop, pulse, sway, and showoff for cinematic movement > shot types like hero, drama, epic, showcase, and freestyle to frame your product like a real ad > post processing effects including glass glare, ground shadow, chromatic shift, heat ripple, and glitch > film grain, focus blur, and noir filters built in > export at 4x resolution, 60fps, WebM or MP4 in any aspect ratio you finally don't need any 3d designing or video editing experience, and you don't have to hire a motion designer for $500 a clip app store preview videos are the #1 thing every developer skips because they're such a pain to make now you can make one in your browser tab and 3 minutes this is the kind of polish that separates a vibe coded project from a legit application vibecoders are about to start shipping launches that look better than most seed stage startups

SOMEONE BUILT A TOOL THAT TURNS A SCREENSHOT INTO A CINEMATIC PRODUCT VIDEO you drop in a product screenshot or app screen and it spits out a polished cinematic shot or app store preview video in seconds it comes loaded with every editing option you'd actually pay a pro for: > motion presets like drift, tilt loop, pulse, sway, and showoff for cinematic movement > shot types like hero, drama, epic, showcase, and freestyle to frame your product like a real ad > post processing effects including glass glare, ground shadow, chromatic shift, heat ripple, and glitch > film grain, focus blur, and noir filters built in > export at 4x resolution, 60fps, WebM or MP4 in any aspect ratio you finally don't need any 3d designing or video editing experience, and you don't have to hire a motion designer for $500 a clip app store preview videos are the #1 thing every developer skips because they're such a pain to make now you can make one in your browser tab and 3 minutes this is the kind of polish that separates a vibe coded project from a legit application vibecoders are about to start shipping launches that look better than most seed stage startups

Om Patel

14,597 Aufrufe • vor 3 Monaten

someone is going to make millions with this in 2026 99% of people think this is a real human (or they fail to notice it’s an ai-generated video) but this video is completely ai-generated, including the background music. let me teach you how to create this in a few minutes follow this workflow step by step: first, create the base image of your ai influencer using nb pro. this is currently the best tool for character consistency i used a json prompt to generate the base image then i turn it into video (i will share the exact json prompt with you in this thread) now, to generate the video paste this prompt into google veo using the “frame to video” option “a man in his 40s sits on a 1980s living room couch, looking directly at the camera with a serious expression. he gestures naturally with one hand as he speaks in vintage tv broadcast aesthetic: "today is october 12th, 1985. what i'm about to tell you will sound impossible... but mark my words, these three predictions will come true. no background music, no sound effects” next, i gave it a chunk of script, i only changed the script dialogue each time and kept the rest of the prompt exactly the same using this method, you also get a little consintent voiceover here is the format for you to use: [character description] + [visual style] + [dialogue of your script for under 8 seconds] for example, for the next part dialogue; [A man in his 40s sits on a 1980s living room couch, looking directly at the camera with a serious expression. He gestures naturally with one hand as he speaks in Vintage TV broadcast aesthetic: "but mark my words, these three predictions will come true... ONE: You will carry a device no bigger than a playing card that holds ten thousand songs" ] rest things i adjusted in the editing, now how to clone the audio for these several clips we just generated? i got the best audio from the very first clip i generated using veo 3 but here is the trick: - export that clip to a video editor - detach the audio of it - duplicate it to make it 10+ seconds long - clone the voice over using elevenlabs (go to 11Labs-> click on voices-> click on "create or clone a voice" button in the top right side) (i named mine “1985 ai influencer” inside 11labs) then, finally export all your video clips into your video editor detach the audios of all clips, and export it to 11Labs to clone it with that "1985 AI Influencer" voice once you dubbed it, import it back to your editor that’s it. there are endless use cases where you can use such an ai influencer like this to promote your biz: - skincare - weight loss & nutrition - psychology and mental health - marketing and sales - predictions (like this video) - making money & career growth - dating, parenting, and so on… there are a few people already started using such ai influencers, you are just behind them, you can find their pages on instagram don't be lazy, create one such an ai influencer for your targeted biz 2026 is going to be yours

someone is going to make millions with this in 2026 99% of people think this is a real human (or they fail to notice it’s an ai-generated video) but this video is completely ai-generated, including the background music. let me teach you how to create this in a few minutes follow this workflow step by step: first, create the base image of your ai influencer using nb pro. this is currently the best tool for character consistency i used a json prompt to generate the base image then i turn it into video (i will share the exact json prompt with you in this thread) now, to generate the video paste this prompt into google veo using the “frame to video” option “a man in his 40s sits on a 1980s living room couch, looking directly at the camera with a serious expression. he gestures naturally with one hand as he speaks in vintage tv broadcast aesthetic: "today is october 12th, 1985. what i'm about to tell you will sound impossible... but mark my words, these three predictions will come true. no background music, no sound effects” next, i gave it a chunk of script, i only changed the script dialogue each time and kept the rest of the prompt exactly the same using this method, you also get a little consintent voiceover here is the format for you to use: [character description] + [visual style] + [dialogue of your script for under 8 seconds] for example, for the next part dialogue; [A man in his 40s sits on a 1980s living room couch, looking directly at the camera with a serious expression. He gestures naturally with one hand as he speaks in Vintage TV broadcast aesthetic: "but mark my words, these three predictions will come true... ONE: You will carry a device no bigger than a playing card that holds ten thousand songs" ] rest things i adjusted in the editing, now how to clone the audio for these several clips we just generated? i got the best audio from the very first clip i generated using veo 3 but here is the trick: - export that clip to a video editor - detach the audio of it - duplicate it to make it 10+ seconds long - clone the voice over using elevenlabs (go to 11Labs-> click on voices-> click on "create or clone a voice" button in the top right side) (i named mine “1985 ai influencer” inside 11labs) then, finally export all your video clips into your video editor detach the audios of all clips, and export it to 11Labs to clone it with that "1985 AI Influencer" voice once you dubbed it, import it back to your editor that’s it. there are endless use cases where you can use such an ai influencer like this to promote your biz: - skincare - weight loss & nutrition - psychology and mental health - marketing and sales - predictions (like this video) - making money & career growth - dating, parenting, and so on… there are a few people already started using such ai influencers, you are just behind them, you can find their pages on instagram don't be lazy, create one such an ai influencer for your targeted biz 2026 is going to be yours

ViralOps

14,320 Aufrufe • vor 8 Monaten

I just vibe coded a static ad generator in Claude Code that creates 100+ Meta ads in minutes. All using the new, insane ChatGPT Images 2.0 model. One competitor ad + your product photo + your brand kit = dozens of on-brand variations, each targeting a different customer persona. Built 100% in Claude Code on the new ChatGPT Images 2.0. Perfect for DTC brands and agencies who need more statics at scale. Here's how it works: → Upload any competitor ad as your reference template → Add your product photos and brand kit (colors, fonts, logos) → AI generates 10 customer profiles from your brand research → Pick how many variations you want (10, 20, 30) → Tool fires every prompt to ChatGPT Images 2.0 with persona-specific copy for each one No designer back-and-forth. No Canva templates. No generic "Shop Now" on everything. What you get: → Ads that mirror winning concepts in your brand's voice → Text that actually renders correctly (the new model handles dense copy, logos, and multi-language callouts cleanly) → Copy targeted to specific customer pain points and personas → Multi-brand/client support with saved brand kits → Reusable customer profiles you build once and generate from forever I recorded a full walkthrough showing exactly how this works, including ALL the prompts I used so you can build it yourself. Want access to all the prompts for free? > Like this post > Comment "STATICS" And I'll send it over (must be following so I can DM)

Mike Futia

52,497 Aufrufe • vor 3 Monaten

fine, i'll build it myself, open source ofc Launching Three-Maps, a rapid blockout editor for building game maps for threejs games: Create a floor plan in 2D, automatically generate 3D levels from it, edit them, export to .glb and use in your games (see end of video) Features: - Floorplan 2D: A 2D canvas to map out the floor - Edit Mode for Objects: Edit Vertices/Edges/Faces, extrude, bevel, fillet and chamfer - Brush Mode: Rapidly build map elements with a RealtimeCSG like experience. Cubes, Stairs, Doors, Arch, Cylinder, Custom polygons. Yes, you can even curve the stairs - Modifiers: Yes, you read that right, slap that array modifier on your pillar and call it a day - Terrain Generator: Perlin, Voronoi, you name it. Oh yes, you can rasterize it and edit every single vertex in edit mode. Keyboard shortcuts are mostly same as blender to activate that muscle memory (G/R/S, axis lock XYZ) Soon: - AI integration. Boot that MCP and directly connect your fav AI agent to build the floorplan, generate 3D maps and more (you will love how this movie ends) It's a little rough and in early, very early alpha so come and join as a contributor instead of calling it slop It's all vibe coded btw, i have no idea what the code does I need this to build my game, as i'm a total blender noob and threejs is great, so why not? Outshipping every CAD and 3D startup just because i want to build a game, that's how you accelerate

fine, i'll build it myself, open source ofc Launching Three-Maps, a rapid blockout editor for building game maps for threejs games: Create a floor plan in 2D, automatically generate 3D levels from it, edit them, export to .glb and use in your games (see end of video) Features: - Floorplan 2D: A 2D canvas to map out the floor - Edit Mode for Objects: Edit Vertices/Edges/Faces, extrude, bevel, fillet and chamfer - Brush Mode: Rapidly build map elements with a RealtimeCSG like experience. Cubes, Stairs, Doors, Arch, Cylinder, Custom polygons. Yes, you can even curve the stairs - Modifiers: Yes, you read that right, slap that array modifier on your pillar and call it a day - Terrain Generator: Perlin, Voronoi, you name it. Oh yes, you can rasterize it and edit every single vertex in edit mode. Keyboard shortcuts are mostly same as blender to activate that muscle memory (G/R/S, axis lock XYZ) Soon: - AI integration. Boot that MCP and directly connect your fav AI agent to build the floorplan, generate 3D maps and more (you will love how this movie ends) It's a little rough and in early, very early alpha so come and join as a contributor instead of calling it slop It's all vibe coded btw, i have no idea what the code does I need this to build my game, as i'm a total blender noob and threejs is great, so why not? Outshipping every CAD and 3D startup just because i want to build a game, that's how you accelerate

robot 2.0

106,664 Aufrufe • vor 5 Monaten

We spoke with Chris Van Vliet about why he started a clips channel, and he recalls a Karrion Kross impersonating Jesse Ventura clip going viral. "On both ends, there’s definitely been that. Some that I’m like, ‘Oh, that one didn’t perform and that one out of nowhere did.’ The reason I started the clips channel is because I understand that if I were to text you a link and go, ‘Man, this podcast is amazing. You got to check it out,’ and you click on it, and it’s an hour and 14 minutes. You’re probably not even going to start. But if I send you a clip from that same interview and it’s 36 seconds, or I send you a clip that’s two minutes, good chance you’re probably going to tune in. The one that I just was reminded of was a 10 second, 15 second clip with Karrion Kross. It was the workout that we filmed, we were doing arm day, and everybody knows where I’m going with this. He pulled out the most perfect Jesse Ventura impression. It was four seconds in like a 30 minute workout video. ‘Don’t tell me you don’t have four more reps.’ But that clip blew me away. Like 1.2 million views on my channel. However many millions of views from everybody that’s shared that across all platforms. By the way, if there’s ever a clip you see of any of my interviews, feel free to steal it. Feel free to clip it out. I don’t care at all. If you could tag me, that’d be nice. But like, I don’t care. Have it. Please clip it out. I love when I’ll put an interview out on Tuesday morning and about three hours later it’s all over X and I’m like, ‘I’ll retweet all those all day.’"

We spoke with Chris Van Vliet about why he started a clips channel, and he recalls a Karrion Kross impersonating Jesse Ventura clip going viral. "On both ends, there’s definitely been that. Some that I’m like, ‘Oh, that one didn’t perform and that one out of nowhere did.’ The reason I started the clips channel is because I understand that if I were to text you a link and go, ‘Man, this podcast is amazing. You got to check it out,’ and you click on it, and it’s an hour and 14 minutes. You’re probably not even going to start. But if I send you a clip from that same interview and it’s 36 seconds, or I send you a clip that’s two minutes, good chance you’re probably going to tune in. The one that I just was reminded of was a 10 second, 15 second clip with Karrion Kross. It was the workout that we filmed, we were doing arm day, and everybody knows where I’m going with this. He pulled out the most perfect Jesse Ventura impression. It was four seconds in like a 30 minute workout video. ‘Don’t tell me you don’t have four more reps.’ But that clip blew me away. Like 1.2 million views on my channel. However many millions of views from everybody that’s shared that across all platforms. By the way, if there’s ever a clip you see of any of my interviews, feel free to steal it. Feel free to clip it out. I don’t care at all. If you could tag me, that’d be nice. But like, I don’t care. Have it. Please clip it out. I love when I’ll put an interview out on Tuesday morning and about three hours later it’s all over X and I’m like, ‘I’ll retweet all those all day.’"

Fightful Wrestling

13,451 Aufrufe • vor 4 Monaten

AI has transformed how video is created. We think the next wave is about understanding it. Over the past few years, we've seen remarkable advances in video generation, editing, avatars, and creative tooling. An increasingly important problem is teaching machines to search, analyze, reason over, and extract insight from video - across massive libraries and live streams alike. We're calling this video intelligence, and we're actively looking to back founders building here. We're most excited about companies pushing on the core capabilities: - Video-native models - multimodal embeddings, temporal reasoning, and retrieval built specifically for video rather than adapted from image or text - Real-time and large-scale pipelines - infrastructure for processing, indexing, and querying video at the speed and scale enterprises actually need - Agentic and reasoning layers - systems that don't just retrieve clips but answer questions, surface anomalies, and take action on what they see The models and infrastructure to make this real are appearing to be crossing a capability threshold right now. Multimodal foundation models are maturing, storage costs have collapsed, and enterprises are sitting on years of unstructured video with no way to use it. That infrastructure unlocks a wide range of applications including media and sports workflows, security and physical operations, enterprise knowledge management, advertising analytics, robotics, and consumer products, where video has historically been dark data. If you're building in video intelligence at the model layer, the platform layer, or in a vertical application, we'd love to talk!

AI has transformed how video is created. We think the next wave is about understanding it. Over the past few years, we've seen remarkable advances in video generation, editing, avatars, and creative tooling. An increasingly important problem is teaching machines to search, analyze, reason over, and extract insight from video - across massive libraries and live streams alike. We're calling this video intelligence, and we're actively looking to back founders building here. We're most excited about companies pushing on the core capabilities: - Video-native models - multimodal embeddings, temporal reasoning, and retrieval built specifically for video rather than adapted from image or text - Real-time and large-scale pipelines - infrastructure for processing, indexing, and querying video at the speed and scale enterprises actually need - Agentic and reasoning layers - systems that don't just retrieve clips but answer questions, surface anomalies, and take action on what they see The models and infrastructure to make this real are appearing to be crossing a capability threshold right now. Multimodal foundation models are maturing, storage costs have collapsed, and enterprises are sitting on years of unstructured video with no way to use it. That infrastructure unlocks a wide range of applications including media and sports workflows, security and physical operations, enterprise knowledge management, advertising analytics, robotics, and consumer products, where video has historically been dark data. If you're building in video intelligence at the model layer, the platform layer, or in a vertical application, we'd love to talk!

Jason Cui

36,205 Aufrufe • vor 3 Monaten

Introducing KausaCompute. Running AI models privately is expensive and complicated. Traditional cloud providers require credit cards, KYC verification, and complex setup processes. For many developers, especially in emerging markets, accessing GPU compute remains out of reach. KausaCompute changes that. Deploy any Docker container with NVIDIA GPU, pay with USDC from Maze Pocket, no KYC, no credit card, no cloud provider account needed. GPU pricing starts at $0.47/hr with competitive rates across all tiers. KausaCompute lives inside KausaLayer Pocket. Open a pocket, swap SOL to USDC using the built-in swap feature, and start deploying GPU containers right away. Everything stays within one ecosystem. What it actually does: Private LLM endpoints. Deploy Llama 3, Mistral, CodeLlama, or any open-source model as a personal API. No one logs the prompts. No one reads the data. Full control. AI coding assistants that never see external servers. Speech-to-text processing for thousands of audio files in minutes instead of hours. Sentiment analysis across millions of data points. Document summarization at scale. Multi-modal AI that processes images and text together. All running on dedicated NVIDIA GPUs. A6000, T4, L4, L40, A100, H100, and more. Pick the hardware, pick the duration, deploy in one click. The billing is straightforward. USDC is deducted from Maze Pocket before deployment. Pro tip: Maze Pocket supports multiple pockets per wallet. Create a dedicated pocket just for KausaCompute to keep GPU spending separate from other activities like trading or transfers. Clean separation, easy tracking. KausaCompute is not another cloud provider. It is the fastest path from USDC to a running GPU, with zero identity requirements. Live now at

Introducing KausaCompute. Running AI models privately is expensive and complicated. Traditional cloud providers require credit cards, KYC verification, and complex setup processes. For many developers, especially in emerging markets, accessing GPU compute remains out of reach. KausaCompute changes that. Deploy any Docker container with NVIDIA GPU, pay with USDC from Maze Pocket, no KYC, no credit card, no cloud provider account needed. GPU pricing starts at $0.47/hr with competitive rates across all tiers. KausaCompute lives inside KausaLayer Pocket. Open a pocket, swap SOL to USDC using the built-in swap feature, and start deploying GPU containers right away. Everything stays within one ecosystem. What it actually does: Private LLM endpoints. Deploy Llama 3, Mistral, CodeLlama, or any open-source model as a personal API. No one logs the prompts. No one reads the data. Full control. AI coding assistants that never see external servers. Speech-to-text processing for thousands of audio files in minutes instead of hours. Sentiment analysis across millions of data points. Document summarization at scale. Multi-modal AI that processes images and text together. All running on dedicated NVIDIA GPUs. A6000, T4, L4, L40, A100, H100, and more. Pick the hardware, pick the duration, deploy in one click. The billing is straightforward. USDC is deducted from Maze Pocket before deployment. Pro tip: Maze Pocket supports multiple pockets per wallet. Create a dedicated pocket just for KausaCompute to keep GPU spending separate from other activities like trading or transfers. Clean separation, easy tracking. KausaCompute is not another cloud provider. It is the fastest path from USDC to a running GPU, with zero identity requirements. Live now at

KausaLayer

10,914 Aufrufe • vor 2 Monaten