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🚨 THIS IS INSANE... I built a custom Material Editor inside UEFN using nothing but Python. What it does: - Live preview color and surface changes - 15 built-in presets (Chrome, Gold, Neon, Hologram...) - Save your own custom presets - Randomize colors across objects - Paint gradients across... show more

Immature

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15,660 次观看 • 4 个月前 •via X (Twitter)

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I was always bad at creating cool mesh liquid gradients. When I had this style in mind for a client’s brand identity, I knew I needed a solution for their team. They had to create these visuals without friction. I knew how tricky those assets are. So I built a tool around it. Presets, color pickers, blur and grain controls, plus a liquify filter. This is how you deliver a brand toolkit in 2026. Do not blame AI for taking your job, blame yourself for not using it.

Alex Socoloff

93,776 次观看 • 5 个月前

NOT EXAGGERATING when i say this is the most useful AI video tool i've touched this year aleph 2.0 on Runway doesn't generate from scratch. it edits what you already have. bring your own footage. describe the change you want. it touches only that. everything else stays exactly as you shot it. season change. color swap. style update. across multi shot sequences. with a preview before you commit to the full render. i've been looking for something that fits into a real production workflow and this actually does go try it on your own footage → 22% off 2 months with code ALEPH2 — expires may 31 #MadeWithRunway #ad

NOT EXAGGERATING when i say this is the most useful AI video tool i've touched this year aleph 2.0 on Runway doesn't generate from scratch. it edits what you already have. bring your own footage. describe the change you want. it touches only that. everything else stays exactly as you shot it. season change. color swap. style update. across multi shot sequences. with a preview before you commit to the full render. i've been looking for something that fits into a real production workflow and this actually does go try it on your own footage → 22% off 2 months with code ALEPH2 — expires may 31 #MadeWithRunway #ad

Erina | AI Tools & News

25,555 次观看 • 2 个月前

SOMEONE BUILT AN ENTIRE COMPANY BRAIN INSIDE CLAUDE CODE IN 7 DAYS Not Obsidian. Fully custom. A living map of every employee, every agent, every SOP on one screen. Click any node and it opens up: - what department it's in - what SOPs are attached - what it can actually access that permission layer is the whole game an employee opens the chat and the AI already knows their access level, agents, SOPs and tools surface in the conversation like you tagged them by hand Obsidian cannot do this... no dev team. no six month build. no enterprise budget. just Claude Code and one week has everything to build one full guide on building your own team below

SOMEONE BUILT AN ENTIRE COMPANY BRAIN INSIDE CLAUDE CODE IN 7 DAYS Not Obsidian. Fully custom. A living map of every employee, every agent, every SOP on one screen. Click any node and it opens up: - what department it's in - what SOPs are attached - what it can actually access that permission layer is the whole game an employee opens the chat and the AI already knows their access level, agents, SOPs and tools surface in the conversation like you tagged them by hand Obsidian cannot do this... no dev team. no six month build. no enterprise budget. just Claude Code and one week has everything to build one full guide on building your own team below

Madni Aghadi

395,849 次观看 • 1 个月前

Everyone is using Fable 5 to build funny little demos so I decided to build something better. Vibe coded a 3D keyboard ecom platform in Three.js and GSAP. Every key. Every switch. Every color. Customizable in real time in 3D. It's really amusing that whole keyboard is built at runtime using Procedural geometry. To achieve that kind of realistic lighting on keyboard, it used a studio environment (gradient sky + softbox panels) rendered into a PMREM cubemap for realistic reflections. Opus helped a bit more here (as Fable was failing in loop in Claude chat) There is also custom GLSL shaders for RGB underflow/skirt and as well sRGB output encoding + explicit convertSRGBToLinear() on every material color so caps render at their exact swatch value. I don't know any of these techniques and concepts but I have had been reading how both Fable and Opus were trying to approach this by digging into their "thinking" phase. Go try it, there is a cool Claude theme keyboard you would want to purchase too :D Live: Code:

Everyone is using Fable 5 to build funny little demos so I decided to build something better. Vibe coded a 3D keyboard ecom platform in Three.js and GSAP. Every key. Every switch. Every color. Customizable in real time in 3D. It's really amusing that whole keyboard is built at runtime using Procedural geometry. To achieve that kind of realistic lighting on keyboard, it used a studio environment (gradient sky + softbox panels) rendered into a PMREM cubemap for realistic reflections. Opus helped a bit more here (as Fable was failing in loop in Claude chat) There is also custom GLSL shaders for RGB underflow/skirt and as well sRGB output encoding + explicit convertSRGBToLinear() on every material color so caps render at their exact swatch value. I don't know any of these techniques and concepts but I have had been reading how both Fable and Opus were trying to approach this by digging into their "thinking" phase. Go try it, there is a cool Claude theme keyboard you would want to purchase too :D Live: Code:

The Bugged Dev

98,323 次观看 • 1 个月前

xfinity Internet service launches xfinity wifi motion and it’s exactly what it sounds like Your WiFi will now be tracking you in your home and even discloses your movement to third parties “It tracks movement inside your home using nothing but your WiFi signals. No cameras, no sensors, just your router blasting invisible waves and reading how they bounce off your body. That's not WI fi anymore. That's a radar.” Comcast's terms of service specify that they'll use their WiFi Motion service to tell the police or any other third party about your movements at home “You walk across the room, it knows you open a door, it knows you sit still too long, it knows it's a motion detection through your Internet. And the craziest part? It's already built into the router, just waiting to be activated. Most people won't even realize they've installed live surveillance in their own home. Xfinity calls it a feature, but this isn't smart tech. It's a silent wireless tracking system. And once your router can map your movements, you're not just connected, you're monitored. Constantly. This is how the surveillance state gets in. Not with cameras, but with conveniences. Not with force, but with features. And by the time people figure it out, the cage is already built.”

xfinity Internet service launches xfinity wifi motion and it’s exactly what it sounds like Your WiFi will now be tracking you in your home and even discloses your movement to third parties “It tracks movement inside your home using nothing but your WiFi signals. No cameras, no sensors, just your router blasting invisible waves and reading how they bounce off your body. That's not WI fi anymore. That's a radar.” Comcast's terms of service specify that they'll use their WiFi Motion service to tell the police or any other third party about your movements at home “You walk across the room, it knows you open a door, it knows you sit still too long, it knows it's a motion detection through your Internet. And the craziest part? It's already built into the router, just waiting to be activated. Most people won't even realize they've installed live surveillance in their own home. Xfinity calls it a feature, but this isn't smart tech. It's a silent wireless tracking system. And once your router can map your movements, you're not just connected, you're monitored. Constantly. This is how the surveillance state gets in. Not with cameras, but with conveniences. Not with force, but with features. And by the time people figure it out, the cage is already built.”

Wall Street Apes

275,376 次观看 • 1 年前

In two years, every new tech company will run on a CRM you can vibe code to fit your business. This CRM will not be built from scratch on a coding platform though. It will be built on top of managed infrastructure with complete data capture, indices designed for LLMs to understand the whole picture, clean APIs, curated UI frameworks designed for selling, enterprise-grade security, and come with 24/7 support. You’ll instruct the agent using natural language and it will write the code + run it for you. That’s what we’re building at Lightfield and today we’re announcing step two of our plan - code execution. You can now ask your agent to build programs, artifacts, and run complex analysis instantly. It does this by writing and running Python in a high performance sandbox using full customer memory — including every email, meeting, and note that Lightfield has captured — and reasoning across every relationship to deliver high quality work. Ask your agent to build a competitive battle card before a call tomorrow. It pulls positioning, objections, and win/loss patterns from real conversations. Ask it to flag every open deal where your champion's engagement has dropped or sentiment has shifted. It reads across every conversation and tells you where to focus. Ask it to build a pipeline review with charts and graphs for your board. It produces the whole thing in minutes. Here’s what we did with it this week: → We asked our agent to grade our sales team on discovery, rapport, and closing. It gave a structured scorecard with specific examples from real conversations. → Our GTM team asked the agent to build a plan to expand one of our enterprise customers. It pulled competitive threats, upsell paths, stakeholder mapping, and a phased execution plan — in minutes. → We used it to find every feature request from the last quarter that our engineering team has since shipped, and draft a personalized follow-up to each customer using their original words. It closed loops across dozens of accounts that would have taken days to track down manually This is the first step towards building any custom GTM workflow in natural language on top of what Lightfield knows about your business - a world model built from every single interaction your team has had with customers.

In two years, every new tech company will run on a CRM you can vibe code to fit your business. This CRM will not be built from scratch on a coding platform though. It will be built on top of managed infrastructure with complete data capture, indices designed for LLMs to understand the whole picture, clean APIs, curated UI frameworks designed for selling, enterprise-grade security, and come with 24/7 support. You’ll instruct the agent using natural language and it will write the code + run it for you. That’s what we’re building at Lightfield and today we’re announcing step two of our plan - code execution. You can now ask your agent to build programs, artifacts, and run complex analysis instantly. It does this by writing and running Python in a high performance sandbox using full customer memory — including every email, meeting, and note that Lightfield has captured — and reasoning across every relationship to deliver high quality work. Ask your agent to build a competitive battle card before a call tomorrow. It pulls positioning, objections, and win/loss patterns from real conversations. Ask it to flag every open deal where your champion's engagement has dropped or sentiment has shifted. It reads across every conversation and tells you where to focus. Ask it to build a pipeline review with charts and graphs for your board. It produces the whole thing in minutes. Here’s what we did with it this week: → We asked our agent to grade our sales team on discovery, rapport, and closing. It gave a structured scorecard with specific examples from real conversations. → Our GTM team asked the agent to build a plan to expand one of our enterprise customers. It pulled competitive threats, upsell paths, stakeholder mapping, and a phased execution plan — in minutes. → We used it to find every feature request from the last quarter that our engineering team has since shipped, and draft a personalized follow-up to each customer using their original words. It closed loops across dozens of accounts that would have taken days to track down manually This is the first step towards building any custom GTM workflow in natural language on top of what Lightfield knows about your business - a world model built from every single interaction your team has had with customers.

Keith Peiris

27,584 次观看 • 5 个月前

🎬 Cinematic Consistency in the Age of AI Video: Why Prompt Structure Matters ⠀ I created a custom GPT built specifically to solve one of the biggest problems in AI filmmaking: character and visual continuity across shots and sequences. ⠀ Too often, tools like Midjourney Video or Veo3 generate beautiful moments — but fall apart when you try to tell a story. Characters change. Outfits glitch. Locations shift. ⠀ This GPT helps with that. It’s trained to write highly structured cinematic prompts, with attention to: — Composition & camera motion — Character appearance and consistency — Lens & lighting consistency — Emotional tone, color grading, and even ambient audio cues ⠀ 💡 The result? A prompt system that actually thinks like a director and helps you like your DP or 1st AD. ⠀ Here’s a side-by-side comparison using the same simple sequence idea in Veo3 and Midjourney Video, both using my GPT. (don't judge the video result but the GPT assistance as I made this as quickly as possible) 👇

🎬 Cinematic Consistency in the Age of AI Video: Why Prompt Structure Matters ⠀ I created a custom GPT built specifically to solve one of the biggest problems in AI filmmaking: character and visual continuity across shots and sequences. ⠀ Too often, tools like Midjourney Video or Veo3 generate beautiful moments — but fall apart when you try to tell a story. Characters change. Outfits glitch. Locations shift. ⠀ This GPT helps with that. It’s trained to write highly structured cinematic prompts, with attention to: — Composition & camera motion — Character appearance and consistency — Lens & lighting consistency — Emotional tone, color grading, and even ambient audio cues ⠀ 💡 The result? A prompt system that actually thinks like a director and helps you like your DP or 1st AD. ⠀ Here’s a side-by-side comparison using the same simple sequence idea in Veo3 and Midjourney Video, both using my GPT. (don't judge the video result but the GPT assistance as I made this as quickly as possible) 👇

Jesus Plaza

51,432 次观看 • 1 年前

🚨 Claude Code costs $200/month. GitHub Copilot costs $19/month. Jack Dorsey's company built a free alternative. 35,000 GitHub stars. It's called Goose. An open source AI agent built by Block that goes beyond code suggestions. It installs, executes, edits, and tests. With any LLM you choose. Not autocomplete. Not suggestions. A full autonomous agent that takes actions on your computer. No vendor lock-in. No monthly subscription. Bring your own model. Here's what Goose does: → Works with ANY LLM. Claude, GPT, Gemini, Llama, DeepSeek, Ollama. Your choice. → Reads and understands your entire codebase → Writes, edits, and refactors code across multiple files → Runs shell commands and installs dependencies → Executes and debugs your code automatically → Extensible through MCP. Connect it to any external tool. → Desktop app, CLI, and web interface. Pick your workflow. → Written in Rust. Fast. Lightweight. No bloat. Here's the wildest part: Block is a $40 billion company. They built Cash App, Square, and TIDAL. They use Goose internally. Then they open sourced the entire thing. This isn't a side project from a random developer. This is production-grade tooling from a company that processes billions in payments. Built for their own engineers. Given to everyone. Claude Code: $200/month. Locked to Claude. GitHub Copilot: $19/month. Locked to GitHub. Cursor: $20/month. Locked to their editor. Goose: Free. Any LLM. Any editor. Any workflow. Forever. 35.3K GitHub stars. 3.3K forks. 4,078 commits. Built by Block. 100% Open Source. Apache 2.0 License.

🚨 Claude Code costs $200/month. GitHub Copilot costs $19/month. Jack Dorsey's company built a free alternative. 35,000 GitHub stars. It's called Goose. An open source AI agent built by Block that goes beyond code suggestions. It installs, executes, edits, and tests. With any LLM you choose. Not autocomplete. Not suggestions. A full autonomous agent that takes actions on your computer. No vendor lock-in. No monthly subscription. Bring your own model. Here's what Goose does: → Works with ANY LLM. Claude, GPT, Gemini, Llama, DeepSeek, Ollama. Your choice. → Reads and understands your entire codebase → Writes, edits, and refactors code across multiple files → Runs shell commands and installs dependencies → Executes and debugs your code automatically → Extensible through MCP. Connect it to any external tool. → Desktop app, CLI, and web interface. Pick your workflow. → Written in Rust. Fast. Lightweight. No bloat. Here's the wildest part: Block is a $40 billion company. They built Cash App, Square, and TIDAL. They use Goose internally. Then they open sourced the entire thing. This isn't a side project from a random developer. This is production-grade tooling from a company that processes billions in payments. Built for their own engineers. Given to everyone. Claude Code: $200/month. Locked to Claude. GitHub Copilot: $19/month. Locked to GitHub. Cursor: $20/month. Locked to their editor. Goose: Free. Any LLM. Any editor. Any workflow. Forever. 35.3K GitHub stars. 3.3K forks. 4,078 commits. Built by Block. 100% Open Source. Apache 2.0 License.

Nav Toor

393,344 次观看 • 4 个月前

I built an entire content team in 21 minutes. It writes LinkedIn posts, YouTube scripts, Newsletters, and Tweets. All in my voice. Content used to be the bottleneck. Writing for multiple platforms meant either spending hours on it or hiring someone who never quite sounded like me. I spent weeks refining this system so I could show you exactly how to set it up. What's in the guide: - Setting up your personal AI writer from scratch - The folder structure that makes AI writing actually work - Using successful examples to train your AI's voice - Building and refining custom writing skills - Advanced techniques for scaling across platforms This is for creators, founders, and marketers who want to produce more content, faster, without losing their voice or hiring a team. I recorded the full walkthrough. Every step. Live. Comment "WRITER" and I'll DM you the free GitHub repo with the complete folder structure and skills. (Make sure we're connected so I can DM you)

I built an entire content team in 21 minutes. It writes LinkedIn posts, YouTube scripts, Newsletters, and Tweets. All in my voice. Content used to be the bottleneck. Writing for multiple platforms meant either spending hours on it or hiring someone who never quite sounded like me. I spent weeks refining this system so I could show you exactly how to set it up. What's in the guide: - Setting up your personal AI writer from scratch - The folder structure that makes AI writing actually work - Using successful examples to train your AI's voice - Building and refining custom writing skills - Advanced techniques for scaling across platforms This is for creators, founders, and marketers who want to produce more content, faster, without losing their voice or hiring a team. I recorded the full walkthrough. Every step. Live. Comment "WRITER" and I'll DM you the free GitHub repo with the complete folder structure and skills. (Make sure we're connected so I can DM you)

JJ Englert

76,819 次观看 • 6 个月前

I just built a branded IG carousel generator in Claude Code 🤯 One brand URL + one product name = 6 finished carousel slides. The kind an agency charges $2K to produce. All inside Claude Code. Perfect for DTC brands, agencies, and mobile app operators who need on-brand social content without briefing a designer or waiting a week for revisions. If you're building IG carousels manually — writing copy in Notion, designing in Canva, exporting slides one by one, going back and forth with your creative team for days... This tool eliminates the entire loop: → Drop in a brand URL and product name → Claude scrapes the site and extracts colors, fonts, voice, and positioning → Generates 6 slide concepts across proven carousel frameworks → Writes a detailed image prompt for each slide → Fires all 6 to ChatGPT Images 2.0 via FAL in parallel → Downloads finished slides + opens an HTML gallery No Canva. No designer back-and-forth. No generic AI slop. What you get: -> Finished 1080x1350px slides ready to post directly to Instagram -> Wavy color-blocked backgrounds, bold typography, product hero — all baked into the image -> Brand-accurate colors and copy pulled from the live site automatically -> A reusable pipeline — new brand, new folder, same 3-minute workflow Built 100% in Claude Code. I put together the full step-by-step playbook so you can build this yourself. Want it for free? > Like this post > Comment "SLIDES" And I'll send it over (must be following so I can DM)

Mike Futia

92,358 次观看 • 2 个月前

🔥 Your X Agent just got eyes. Watch it think. Built for strict X API compliance. No automated bulk actions. Every engagement is a suggestion you act on manually. Your account stays safe. 💥 New: Live Reasoning Terminal — see every search, thread read, memory recall, and engagement decision across 21 tools as your autonomous agent works. No black box. Here's the full loop in 60 seconds: ↓🎥 1️⃣ Configure Topics, accounts, model tier, run interval, action toggles — full control over what your agent does and how often. 2️⃣ Run Trigger manually or set it on autopilot. Every 30 min to once a day. 3️⃣ Watch it think Live terminal streams every tool call, search, thread read, and decision in real-time. You see exactly what the agent sees. 4️⃣ Review suggestions Replies, likes, follows land in your inbox. Nothing goes live without you. Human-in-the-loop — built for strict X API compliance. 5️⃣ Restyle Don't like the tone? Rewrite any reply — concise, insightful, casual, or your own custom style. One click. 6️⃣ Feedback Hit "Replied" after you post. The agent learns what you approve and adapts next run. The more you use it, the sharper it gets. 🆓 X API costs on us for early users. No extra keys needed. 10 latest models. 7 providers. (OpenAI, Anthropic, Kimi.ai, and more) Try now →

🔥 Your X Agent just got eyes. Watch it think. Built for strict X API compliance. No automated bulk actions. Every engagement is a suggestion you act on manually. Your account stays safe. 💥 New: Live Reasoning Terminal — see every search, thread read, memory recall, and engagement decision across 21 tools as your autonomous agent works. No black box. Here's the full loop in 60 seconds: ↓🎥 1️⃣ Configure Topics, accounts, model tier, run interval, action toggles — full control over what your agent does and how often. 2️⃣ Run Trigger manually or set it on autopilot. Every 30 min to once a day. 3️⃣ Watch it think Live terminal streams every tool call, search, thread read, and decision in real-time. You see exactly what the agent sees. 4️⃣ Review suggestions Replies, likes, follows land in your inbox. Nothing goes live without you. Human-in-the-loop — built for strict X API compliance. 5️⃣ Restyle Don't like the tone? Rewrite any reply — concise, insightful, casual, or your own custom style. One click. 6️⃣ Feedback Hit "Replied" after you post. The agent learns what you approve and adapts next run. The more you use it, the sharper it gets. 🆓 X API costs on us for early users. No extra keys needed. 10 latest models. 7 providers. (OpenAI, Anthropic, Kimi.ai, and more) Try now →

Solaris AI

16,671 次观看 • 5 个月前

I just built a branded IG carousel generator in Claude Code 🤯 One brand URL + one product name = 6 finished carousel slides. The kind an agency charges $2K to produce. All inside Claude Code. Perfect for DTC brands and agencies who need to post carousels every week but can't turn each one into a two-day design project. If every carousel is the same mini-project — writing the copy in Notion, rebuilding the template in Canva, exporting slides one at a time, then three rounds of revisions with your designer before it's even live... This tool eliminates the entire loop: → Drop in a brand URL and product name → Claude scrapes the site and extracts colors, fonts, voice, and positioning → Generates 6 slide concepts across proven carousel frameworks → Writes a detailed image prompt for each slide → Fires all 6 to ChatGPT Images 2.0 via FAL in parallel → Downloads finished slides + opens an HTML gallery No Canva. No designer back-and-forth. No generic AI slop. What you get: → Finished 1080x1350px slides ready to post directly to Instagram → Wavy color-blocked backgrounds, bold typography, product hero — all baked into the image → Brand-accurate colors and copy pulled from the live site automatically → A reusable pipeline — new brand, new folder, same 3-minute workflow Built 100% in Claude Code. I put together the full step-by-step playbook so you can build this yourself. Want it for free? Like this post Comment "SLIDES" And I'll send it over (must be following so I can DM)

Mike Futia

35,853 次观看 • 1 个月前

🚨 BREAKING: Someone built an AI that replaces 6 months of literature review with a single workspace. It's called Moara. You dump your research papers in. The AI organizes, analyzes, and synthesizes everything across hundreds of millions of academic sources. You come back and there's a structured literature review waiting. Not a chatbot answer. Not a vague summary. The actual research synthesis. A full research workspace that thinks like a scientist. Works for medicine, engineering, social sciences, law, business, humanities — every discipline. Here's what it does on its own: → Searches hundreds of millions of papers across PubMed, arXiv, Google Scholar, Semantic Scholar, ClinicalTrials .gov, Cochrane, and more in one shot → Screens and tags results automatically, pulling out methodologies, findings, and contributions from every paper → Lets you chat with your entire library at once, find themes, spot gaps, and compare findings across dozens of papers simultaneously → Integrates with Zotero, LibKey, RIS, and BibTeX so your existing research workflow doesn't break → Traces every AI insight back to its original source so nothing is hallucinated and everything is verifiable → Supports full team collaboration so entire research groups can screen and synthesize together Try it here:

🚨 BREAKING: Someone built an AI that replaces 6 months of literature review with a single workspace. It's called Moara. You dump your research papers in. The AI organizes, analyzes, and synthesizes everything across hundreds of millions of academic sources. You come back and there's a structured literature review waiting. Not a chatbot answer. Not a vague summary. The actual research synthesis. A full research workspace that thinks like a scientist. Works for medicine, engineering, social sciences, law, business, humanities — every discipline. Here's what it does on its own: → Searches hundreds of millions of papers across PubMed, arXiv, Google Scholar, Semantic Scholar, ClinicalTrials .gov, Cochrane, and more in one shot → Screens and tags results automatically, pulling out methodologies, findings, and contributions from every paper → Lets you chat with your entire library at once, find themes, spot gaps, and compare findings across dozens of papers simultaneously → Integrates with Zotero, LibKey, RIS, and BibTeX so your existing research workflow doesn't break → Traces every AI insight back to its original source so nothing is hallucinated and everything is verifiable → Supports full team collaboration so entire research groups can screen and synthesize together Try it here:

Rimsha Bhardwaj

49,743 次观看 • 4 个月前

Video editing has nowadays become a conversation.. you drop raw footage in a folder, tell Claude Code what you want, and get final.mp4 back. its free, open source, 17,000 stars on Github.. it's called video-use. and the reason it's different from every "AI video editor" is how it actually works under the hood.. it doesn't guess. it transcribes every word you said first, then edits off the actual transcript. what it does once your footage is in the folder: - cuts every umm, uh, and false start automatically - kills the dead space between takes - color grades each segment.. warm cinematic, neutral punch, or a custom ffmpeg chain - builds the cut with editor sub-agents, runs the animations in parallel - renders a preview, grades its own work, and iterates until it's clean and yeah.. it asks before it cuts. it shows you the plan in plain english and waits for your yes. it's not a black box that spits out a mystery edit.. you stay the director, it does the labor. ▫️ how to start install the skill in claude code (repo below) drop your raw clips in a folder tell it "cut the filler, tighten the pauses, warm cinematic grade" and let it work And yes, it's a tool, not a taste replacement. it'll hand you a clean, tight cut, but the creative calls, the hook, the pacing, the story.. that's still you. it does the 80% that's grunt work so you spend your time on the 20% that matters. editing stopped being a skill you grind for years. it's a prompt now. repo:

Video editing has nowadays become a conversation.. you drop raw footage in a folder, tell Claude Code what you want, and get final.mp4 back. its free, open source, 17,000 stars on Github.. it's called video-use. and the reason it's different from every "AI video editor" is how it actually works under the hood.. it doesn't guess. it transcribes every word you said first, then edits off the actual transcript. what it does once your footage is in the folder: - cuts every umm, uh, and false start automatically - kills the dead space between takes - color grades each segment.. warm cinematic, neutral punch, or a custom ffmpeg chain - builds the cut with editor sub-agents, runs the animations in parallel - renders a preview, grades its own work, and iterates until it's clean and yeah.. it asks before it cuts. it shows you the plan in plain english and waits for your yes. it's not a black box that spits out a mystery edit.. you stay the director, it does the labor. ▫️ how to start install the skill in claude code (repo below) drop your raw clips in a folder tell it "cut the filler, tighten the pauses, warm cinematic grade" and let it work And yes, it's a tool, not a taste replacement. it'll hand you a clean, tight cut, but the creative calls, the hook, the pacing, the story.. that's still you. it does the 80% that's grunt work so you spend your time on the 20% that matters. editing stopped being a skill you grind for years. it's a prompt now. repo:

Axel Bitblaze 🪓

113,964 次观看 • 20 天前

This custom GPT writes Sora 2 prompts that actually work 🤯 Most people prompting Sora 2 are getting garbage output. The problem isn't Sora 2. It's your prompts. Here's what I figured out after generating 100+ UGC videos: Sora 2 needs hyper-specific instructions—shot composition, timing, camera movement, lighting, scene details. Most people prompt like this: "Make a UGC video of someone using my skincare product" And then wonder why the output looks like AI slop. What actually gets results: "9:16 vertical handheld shot, soft natural window lighting, female creator mid-20s in bathroom mirror holding [brand] serum at eye level, genuine testimonial energy, 0-3s hook showing application and subtle reaction, shallow depth of field, clean warm color grade" That's the gap between unusable content and scroll-stopping UGC. So I built a custom GPT that writes these prompts for you: → Tell it your product (supplement, skincare, SaaS, whatever) → It generates a detailed timeline-based Sora 2 prompt → Shot composition, camera angles, timing breakdowns—all included → Optimized for 9:16 TikTok/Reels format → Copy and paste directly into Sora 2 No guessing. No prompt engineering rabbit holes. No "why does this look terrible" frustration. Professional UGC prompts in 10 seconds. Want free access to the Sora 2 Prompt Generator GPT? > Comment "SORA" > Like this post And I'll send it over (must be following so I can DM)

Mike Futia

13,341 次观看 • 7 个月前

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Akshay 🚀

65,672 次观看 • 8 个月前

GeoLibre v1.7.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release opens up the UI to plugins, adds inline color ramp previews across the styling panels, and makes the Whitebox toolbox browsable right from the Processing menu. What's new in v1.7.0 - Plugin UI host API: Plugins can now register first-class right-sidebar panels, toolbar menus, and floating panels that dock beside the built-in Style panel instead of faking an overlay. - Color ramp previews: Both the vector and raster style panels show each colormap's gradient inline, so you can see the colors while you pick rather than reading a list of names. - Richer vector labeling: ArcGIS-style label controls for anchor, offset, rotation, wrap width, and letter case, plus modes that collapse stacked points at the same coordinate into a single label. - Whitebox by category: Browse the whole Whitebox toolbox by category directly in the Processing menu, with an offline-bundled tool catalog for restricted environments. - Collaboration at a glance: An on-canvas session badge and roster show a live dot, the connected-participant count, and who is in the session, with a clear way back to the map. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python #Plugins

GeoLibre v1.7.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release opens up the UI to plugins, adds inline color ramp previews across the styling panels, and makes the Whitebox toolbox browsable right from the Processing menu. What's new in v1.7.0 - Plugin UI host API: Plugins can now register first-class right-sidebar panels, toolbar menus, and floating panels that dock beside the built-in Style panel instead of faking an overlay. - Color ramp previews: Both the vector and raster style panels show each colormap's gradient inline, so you can see the colors while you pick rather than reading a list of names. - Richer vector labeling: ArcGIS-style label controls for anchor, offset, rotation, wrap width, and letter case, plus modes that collapse stacked points at the same coordinate into a single label. - Whitebox by category: Browse the whole Whitebox toolbox by category directly in the Processing menu, with an offline-bundled tool catalog for restricted environments. - Collaboration at a glance: An on-canvas session badge and roster show a live dot, the connected-participant count, and who is in the session, with a clear way back to the map. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python #Plugins

Qiusheng Wu

12,735 次观看 • 1 个月前

🙌Meet Artifig: A Figma Plugin to Generate Figma Plugins Do you use Figma and ever feel like this: - Your mind is bursting with plugin ideas, but you can't bring them to life because you don't know how to code? - You want to focus on design, but repetitive tasks keep slowing you down? - You dream of creating custom tools for your team, but lack the time or resources? I’ve been there too. That’s why I created Artifig. ✨ What is Artifig? Artifig is an AI-powered Figma plugin that empowers anyone to build their own Figma plugins using just natural language. No coding needed—simply describe what you want, and watch as your idea transforms into a fully functional, real-time plugin. 🚀 Redefining Figma Plugin Development The core philosophy of Artifig is simple: Designers often have countless ideas and creative visions, but many of them remain unrealized due to a lack of technical skills. We believe designers shouldn’t be limited by their inability to code. You should focus on creating, not be held back by technical barriers or repetitive tasks. Artifig takes you directly from "description" to "implementation." 🛠️ How Does It Work? 1. Describe Your Needs: Tell Artifig what you want, like “Create a skew transformation tool for objects, supporting horizontal and vertical skew with real-time preview functionality.” 2. Generate and Run the Plugin: Artifig instantly generates the plugin and runs it right within Figma. For example, the generated plugin can apply skew transformations to objects, precisely controlled via matrix transformations, with an intuitive user experience. 3. Optimize and Iteration: Need adjustments? Simply describe them, and Artifig will Iterating the plugin step by step. 4. Share Your Creations: Publish your plugins to the Artifig community, or remix plugins shared by others to build on their ideas. No learning curve. No complex steps. It’s as simple as that. 🌟 Key Features - Zero Barrier to Entry: No coding experience needed—any Figma user can create plugins effortlessly. - Multilingual Support: Works in multiple languages, including English, Chinese, French, Japanese, and German. - What-You-See-Is-What-You-Get: Generated plugins run in real-time, so you can quickly validate and refine your ideas. - Open and Flexible: The generated plugin code is 100% yours—modify it, distribute it, even use it commercially. - Global Community: Share your plugins, explore others’ creations, and publish your plugins to the Figma community. 🎯 Why is Artifig a Game-Changer? 1. No More Repetitive Work Let AI handle the tedious, time-consuming tasks: batch renaming layers, auto-aligning elements, or applying styles in bulk. All you need to do is say, “Import a PDF and arrange each image on the canvas with 20px spacing.” 2. Quickly Bring Ideas to Life From color contrast checks to data imports and custom components, all your “what if we could” ideas can now become plugins. Just one natural language description, and Artifig makes it happen. 3. Custom Tools for Your Team Build tailored tools for your team, creating unique solutions to streamline your workflow. 4. Not Just a Tool, But a Learning Experience Artifig explains the logic behind the code it generates, helping you understand Figma APIs and JavaScript. Today, you’re a designer; tomorrow, you could also be a design engineer. 🧑‍🚀👩🏻‍💻🥷🏻 Who is Artifig For? - Beginners: No development experience needed—just describe your ideas and let Artifig do the rest. - Experts: Save time and focus on high-value tasks while Artifig handles the repetitive work. - Learners: Use Artifig as a bridge to deepen your understanding of development. - Teams: Build custom tools to enhance collaboration and efficiency. 🎉 Ready to Get Started? I believe designers’ time and focus should be spent on creating, not on wrestling with complex tools. Artifig is the first step toward realizing this vision. Try Artifig now and experience an unprecedented flow of creativity!

🙌Meet Artifig: A Figma Plugin to Generate Figma Plugins Do you use Figma and ever feel like this: - Your mind is bursting with plugin ideas, but you can't bring them to life because you don't know how to code? - You want to focus on design, but repetitive tasks keep slowing you down? - You dream of creating custom tools for your team, but lack the time or resources? I’ve been there too. That’s why I created Artifig. ✨ What is Artifig? Artifig is an AI-powered Figma plugin that empowers anyone to build their own Figma plugins using just natural language. No coding needed—simply describe what you want, and watch as your idea transforms into a fully functional, real-time plugin. 🚀 Redefining Figma Plugin Development The core philosophy of Artifig is simple: Designers often have countless ideas and creative visions, but many of them remain unrealized due to a lack of technical skills. We believe designers shouldn’t be limited by their inability to code. You should focus on creating, not be held back by technical barriers or repetitive tasks. Artifig takes you directly from "description" to "implementation." 🛠️ How Does It Work? 1. Describe Your Needs: Tell Artifig what you want, like “Create a skew transformation tool for objects, supporting horizontal and vertical skew with real-time preview functionality.” 2. Generate and Run the Plugin: Artifig instantly generates the plugin and runs it right within Figma. For example, the generated plugin can apply skew transformations to objects, precisely controlled via matrix transformations, with an intuitive user experience. 3. Optimize and Iteration: Need adjustments? Simply describe them, and Artifig will Iterating the plugin step by step. 4. Share Your Creations: Publish your plugins to the Artifig community, or remix plugins shared by others to build on their ideas. No learning curve. No complex steps. It’s as simple as that. 🌟 Key Features - Zero Barrier to Entry: No coding experience needed—any Figma user can create plugins effortlessly. - Multilingual Support: Works in multiple languages, including English, Chinese, French, Japanese, and German. - What-You-See-Is-What-You-Get: Generated plugins run in real-time, so you can quickly validate and refine your ideas. - Open and Flexible: The generated plugin code is 100% yours—modify it, distribute it, even use it commercially. - Global Community: Share your plugins, explore others’ creations, and publish your plugins to the Figma community. 🎯 Why is Artifig a Game-Changer? 1. No More Repetitive Work Let AI handle the tedious, time-consuming tasks: batch renaming layers, auto-aligning elements, or applying styles in bulk. All you need to do is say, “Import a PDF and arrange each image on the canvas with 20px spacing.” 2. Quickly Bring Ideas to Life From color contrast checks to data imports and custom components, all your “what if we could” ideas can now become plugins. Just one natural language description, and Artifig makes it happen. 3. Custom Tools for Your Team Build tailored tools for your team, creating unique solutions to streamline your workflow. 4. Not Just a Tool, But a Learning Experience Artifig explains the logic behind the code it generates, helping you understand Figma APIs and JavaScript. Today, you’re a designer; tomorrow, you could also be a design engineer. 🧑‍🚀👩🏻‍💻🥷🏻 Who is Artifig For? - Beginners: No development experience needed—just describe your ideas and let Artifig do the rest. - Experts: Save time and focus on high-value tasks while Artifig handles the repetitive work. - Learners: Use Artifig as a bridge to deepen your understanding of development. - Teams: Build custom tools to enhance collaboration and efficiency. 🎉 Ready to Get Started? I believe designers’ time and focus should be spent on creating, not on wrestling with complex tools. Artifig is the first step toward realizing this vision. Try Artifig now and experience an unprecedented flow of creativity!

yancymin

21,222 次观看 • 1 年前

Anthropic has a SINGLE growth marketer. And he just mapped the 4 levels of AI marketing, most are still on level 1. Level 1 is automating what you already do. Reports, copy, data pulls. Useful, but everyone has it. Level 2 is using AI as a thinking partner where it's smarter than you. Tax questions, legal implications, second opinions on hard calls. Level 3 is doing work that was below the ROI threshold before. Mining negative keywords across every ad group. Daily broken link checks across your full site. Competitor monitoring that runs forever. Nobody did this work before because the manual cost was never worth it. Level 4 is building custom tools only you would ever build. Your business has specific data, specific workflows, specific edge cases. No off-the-shelf product covers them. Most of the AI marketing plugins floating around GitHub work in theory and break in practice because they're built for the median user. The companies pulling ahead are building for themselves. Ramp is doing it with Glass. We're doing it with SingleBrain. Level 1 is going to get eaten by software companies running cheap Chinese models like Qwen and Kimi. The compounding happens at level 3 and 4, where the work is built for YOUR business and nobody else's.

Anthropic has a SINGLE growth marketer. And he just mapped the 4 levels of AI marketing, most are still on level 1. Level 1 is automating what you already do. Reports, copy, data pulls. Useful, but everyone has it. Level 2 is using AI as a thinking partner where it's smarter than you. Tax questions, legal implications, second opinions on hard calls. Level 3 is doing work that was below the ROI threshold before. Mining negative keywords across every ad group. Daily broken link checks across your full site. Competitor monitoring that runs forever. Nobody did this work before because the manual cost was never worth it. Level 4 is building custom tools only you would ever build. Your business has specific data, specific workflows, specific edge cases. No off-the-shelf product covers them. Most of the AI marketing plugins floating around GitHub work in theory and break in practice because they're built for the median user. The companies pulling ahead are building for themselves. Ramp is doing it with Glass. We're doing it with SingleBrain. Level 1 is going to get eaten by software companies running cheap Chinese models like Qwen and Kimi. The compounding happens at level 3 and 4, where the work is built for YOUR business and nobody else's.

ericosiu

55,327 次观看 • 3 个月前

✊ Data belongs to the people. Democracy runs on transperancy West Bengal's Special Intensive Revision (SIR) 2026 data ie. the data that determines whether your name stays on the voter list, is technically "public." But try accessing it. You'll hit CAPTCHAs. Download limits. Scanned PDFs that no machine can read. Data buried so deep it may as well not exist. So we did something about it. Sabar Institute, with the help of our researcher Souptik Halder and support from our team of SABIR AHAMED, Ashin Chakraborty and Sohail Mallick has built free, open, interactive maps of SIR 2026 data across all 294 West Bengal Assembly constituencies and we're making them available to every journalist, researcher, activist, and citizen who needs them. 🪦 ASDD Deletion Map — See exactly where voters are being deleted as Absent, Shifted, Dead, or Duplicate. Track overall deletion %, gender ratio, death counts, untraceable voters — assembly by assembly, on a live map. ⚖️ Supplementary Adjudication Map — Follow the adjudication trail: who's under review, how many were added or deleted, what percentage are still pending — across every single constituency. Why does this matter? Because mass deletions from voter rolls don't affect everyone uniformly. They happen in specific places, to specific communities, in patterns that deserve scrutiny. You cannot scrutinize what you cannot see. 🔗 Link to explore the map is in the next tweet If this work matters to you, support us using the link below👇 #DataForBetterLives

✊ Data belongs to the people. Democracy runs on transperancy West Bengal's Special Intensive Revision (SIR) 2026 data ie. the data that determines whether your name stays on the voter list, is technically "public." But try accessing it. You'll hit CAPTCHAs. Download limits. Scanned PDFs that no machine can read. Data buried so deep it may as well not exist. So we did something about it. Sabar Institute, with the help of our researcher Souptik Halder and support from our team of SABIR AHAMED, Ashin Chakraborty and Sohail Mallick has built free, open, interactive maps of SIR 2026 data across all 294 West Bengal Assembly constituencies and we're making them available to every journalist, researcher, activist, and citizen who needs them. 🪦 ASDD Deletion Map — See exactly where voters are being deleted as Absent, Shifted, Dead, or Duplicate. Track overall deletion %, gender ratio, death counts, untraceable voters — assembly by assembly, on a live map. ⚖️ Supplementary Adjudication Map — Follow the adjudication trail: who's under review, how many were added or deleted, what percentage are still pending — across every single constituency. Why does this matter? Because mass deletions from voter rolls don't affect everyone uniformly. They happen in specific places, to specific communities, in patterns that deserve scrutiny. You cannot scrutinize what you cannot see. 🔗 Link to explore the map is in the next tweet If this work matters to you, support us using the link below👇 #DataForBetterLives

SABAR Institute

31,446 次观看 • 3 个月前