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Been quietly building a browser based live audiovisual studio app for commercial use in Framer It listens to your music, analyses it in real time, then turns the frequency into visuals, type, glitches, motion, scene changes, FX, and more. It’s node based. Connect audio, MIDI, visuals and behaviours together... show more

Lee Black

14,184 subscribers

14,370 次观看 • 2 个月前 •via X (Twitter)

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45 条评论

Lee Black 的头像

Lee Black2 个月前

What’s next? Now that most of the fun stuff works, I have to build all the other stuf that makes it an actual product 😂 User accounts. Project management. Cloud saves. Syncing. Presets. Sharing. Proper server side infrastructure. Probably several databases. Then the website, onboarding and documentation so someone other than me can actually understand it. After that: native desktop + iOS versions, better MIDI mapping, project sharing, reusable scenes/presets and eventually a little ecosystem around what people build with it. Basically: the audiovisual engine works. Now I need to turn my weird little experiment into a real piece of software. The dangerous bit.

Roberto 的头像

Roberto1 个月前

@framer this is amazing, where do you even start to learn how to create this

Lee Black 的头像

Lee Black1 个月前

@framer Thanks man!

max.jpg 的头像

max.jpg1 个月前

@framer I built something like this but desktop app.. this is soo cool

Lee Black 的头像

Lee Black1 个月前

@framer Thanks man!

seb-astian 的头像

seb-astian1 个月前

@framer damnn that’s cool af! how you build it? framer code / agent?

Lee Black 的头像

Lee Black1 个月前

Actually started as a small framer workshop experiment a year ago. I expanded the idea out around 6 months ago, with the idea of moving it more towards a proper front end product, then agents came along. So I now have 5 agents working on this via Codex into Framer. Keeping it light. Working locally, whilst storing locally and in the browser. I’m about to move some of that logic to Supabase as part of the whole user management.

seb-astian 的头像

seb-astian1 个月前

@framer interesting! why 5 agents?

Lee Black 的头像

Lee Black1 个月前

They let me investigate separate parts of the app in parallel without everyone changing the same code. - Experience agent checks the node graph and interaction flow - FX agent keeps the visuals and renderer honest - Media agent handles scenes, uploads, and playback - QA agent hunts performance bugs before they become pain - Integrator agent merges the useful features and fixes into one product

seb-astian 的头像

seb-astian1 个月前

@framer ahhh interesting!! nice!

Vinay Juneja 的头像

Vinay Juneja1 个月前

@framer daaaaaaamn that's crazzzzzzyy 🐐 @mrblackstudio ser

Lee Black 的头像

Lee Black1 个月前

@framer 🫶

adeeb 的头像

adeeb1 个月前

@framer all this in framer is quite impressive ngl

Lee Black 的头像

Lee Black1 个月前

@framer 🫶

Farhan Sadik 的头像

Farhan Sadik1 个月前

@framer This is seriously impressive. The way you’re connecting audio, MIDI, and visuals in real time is such a cool concept. Can’t wait to see the full thing. 🔥

Lee Black 的头像

Lee Black1 个月前

@framer I can’t wait either. Thanks man!

Ethan Driskill 的头像

Ethan Driskill1 个月前

@framer Man you’re a beast

Lee Black 的头像

Lee Black1 个月前

@framer Haha. I’m a Mule. Started as a seedling of an idea more than a year ago.

Sam 的头像

Sam1 个月前

@framer I have money for this

Lee Black 的头像

Lee Black1 个月前

@framer

Sam 的头像

Sam1 个月前

@framer No like actually Let's discuss :)

Lee Black 的头像

Lee Black1 个月前

@framer DMs are open

Akriti 的头像

Akriti1 个月前

@framer this is soooo cooool! 😯

Lee Black 的头像

Lee Black1 个月前

@framer Thanks ☺️

dudu 的头像

dudu2 个月前

@framer In framer ??? Damnnnnn

Lee Black 的头像

Lee Black1 个月前

@framer Yep in framer 🫶

borhen saidi 的头像

borhen saidi1 个月前

@framer This sounds insanely cool. Turning audio into a visual system like this could be huge for live performances and commercial work.

Lee Black 的头像

Lee Black1 个月前

That’s the sector I’m interested in. As an electronic music artist, it was first built for my own use, and from there it seems to have a much wider use case, if done right. Nobody wants just a fractal or a shader. They want to have a tool that lets them express their art in a meaningful visual way that works with the frequency of their music.

Haseeb 的头像

Haseeb2 个月前

@framer how do you even come up with these ideas lee, let me pick ur brain please! 🙏😭

Lee Black 的头像

Lee Black1 个月前

@framer Haha pick away 🧠

adam 的头像

adam1 个月前

@framer holy

Lee Black 的头像

Lee Black1 个月前

@framer Moly 😅

Michael Close 的头像

Michael Close1 个月前

@framer Wow that’s insane

Lee Black 的头像

Lee Black1 个月前

@framer Thanks 🙏

◢◤◥◣◥◣◢◤ 的头像

◢◤◥◣◥◣◢◤1 个月前

@framer The man lives in the future

Lee Black 的头像

Lee Black1 个月前

@framer Haha 😝

Shavon 的头像

Shavon1 个月前

@framer Daaaaamn🔥

Lee Black 的头像

Lee Black1 个月前

@framer Cheers man!

Jay Nadeau 的头像

Jay Nadeau1 个月前

@framer I don’t understand how this runs on Framer. I’m mind blown 🤯

Lee Black 的头像

Lee Black1 个月前

@framer Like this 😅

Dhexy 的头像

Dhexy1 个月前

@framer Really pushing Framer to its limits

Lee Black 的头像

Lee Black1 个月前

@framer Just a tiddly widdly bit 🤏

Jeeth 的头像

Jeeth1 个月前

@framer Mindblown. Beyond amazing. Curious to try it out.

Lee Black 的头像

Lee Black1 个月前

@framer Nice to hear. Are you using audio stuff daily? I’ll be looking for testers soon.

Jeeth 的头像

Jeeth1 个月前

@framer I have tried finding ways to integrate audio before, but didn't quite get what I needed. This looks interesting. Would love to test it sometime.

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Alex Barashkov

285,575 次观看 • 3 个月前

Theo Von & Duncan Trussell just exposed algorithm mind control in real time: Public assassinations create massive cultural trauma → you disassociate in a foggy state → the algorithm immediately floods you with propaganda, “solutions,” and targeted ads (while your phone listens to your conversations). Duncan Trussell: “Public assassinations create trauma, cultural trauma. Charlie Kirk… everyone saw it before they shut it down. This produces trauma. The trauma response opens you up to conditioning. It’s the same shit kidnappers use… They freak you the fuck out so that you kind of disassociate… And then in that place, they show you the commercial. In that place, they give you some propaganda… This is a known technique for mind controlling people.” “Your phone is the f--ing vampire, and you’re inviting it in every time you stare at it.”

Theo Von & Duncan Trussell just exposed algorithm mind control in real time: Public assassinations create massive cultural trauma → you disassociate in a foggy state → the algorithm immediately floods you with propaganda, “solutions,” and targeted ads (while your phone listens to your conversations). Duncan Trussell: “Public assassinations create trauma, cultural trauma. Charlie Kirk… everyone saw it before they shut it down. This produces trauma. The trauma response opens you up to conditioning. It’s the same shit kidnappers use… They freak you the fuck out so that you kind of disassociate… And then in that place, they show you the commercial. In that place, they give you some propaganda… This is a known technique for mind controlling people.” “Your phone is the f--ing vampire, and you’re inviting it in every time you stare at it.”

Defiant Ghost

50,941 次观看 • 3 个月前

Someone asked Claude Opus 5.5 to make a game inspired by the Antikythera mechanism, often called the world's first computer, and it delivered a playable 3D dive adventure packed into a single 3 MB HTML file. → Every visual and sound is procedurally generated in real time from code Opus 5.5 wrote → Set in 1901 Greece, where sponge divers stumble on ancient bronze fragments and you help find the rest → Full controls to look, walk, turn, jump, scan with sonar and clean finds with a brush → Playable right now in the browser as a Claude artifact Credits: edwin

Someone asked Claude Opus 5.5 to make a game inspired by the Antikythera mechanism, often called the world's first computer, and it delivered a playable 3D dive adventure packed into a single 3 MB HTML file. → Every visual and sound is procedurally generated in real time from code Opus 5.5 wrote → Set in 1901 Greece, where sponge divers stumble on ancient bronze fragments and you help find the rest → Full controls to look, walk, turn, jump, scan with sonar and clean finds with a brush → Playable right now in the browser as a Claude artifact Credits: edwin

0xMarioNawfal

49,950 次观看 • 16 天前

Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

Santiago

46,142 次观看 • 1 年前

To me, microduck looks like a droid. So I made it sound like one Microduck is open source and hackable. That means you can program it to do whatever you want! I trained a 1.3m parameter LLM to output droid like responses. It is running in the browser The model has learned to respond with an emotion, alongside English like Happy, Excited, Sad Then the emotion is fed into a Rust based synthesizer to generate R2D2 like sounds that are aligned with the emotion --- completely procedurally, no wav files, no copyright violation You can chat with it. You can also customize it, give it a name and set your own colors! All set in a spaceship hangar backdrop with other friendly ducks---simulated with realistic physics and microduck's actual walking and skating policies! All in the browser, with WASM!!! I can put literally the SAME code in the browser, and then compile it into an ARM binary and put it in the actual robot in real life 🤯 If you like this and want to see more of it, please like and share so that my boss puts me in the priority list for the first microduck batch 😎 All open source of course! Microquack! 🦆 Hugging Face Space:

To me, microduck looks like a droid. So I made it sound like one Microduck is open source and hackable. That means you can program it to do whatever you want! I trained a 1.3m parameter LLM to output droid like responses. It is running in the browser The model has learned to respond with an emotion, alongside English like Happy, Excited, Sad Then the emotion is fed into a Rust based synthesizer to generate R2D2 like sounds that are aligned with the emotion --- completely procedurally, no wav files, no copyright violation You can chat with it. You can also customize it, give it a name and set your own colors! All set in a spaceship hangar backdrop with other friendly ducks---simulated with realistic physics and microduck's actual walking and skating policies! All in the browser, with WASM!!! I can put literally the SAME code in the browser, and then compile it into an ARM binary and put it in the actual robot in real life 🤯 If you like this and want to see more of it, please like and share so that my boss puts me in the priority list for the first microduck batch 😎 All open source of course! Microquack! 🦆 Hugging Face Space:

Onur Solmaz

33,500 次观看 • 1 个月前

Last week-end I built a watercolor simulator based on real physics (as much as possible). A lot of you asked to play with it so i improved it and it's now live. New since the prototype: - More pigments (52), based on the best research out there to predict color mixes (Kubelka-Munk). - More luminous / glassy feel - Some fun experimental stuff like the salt and alcohol techniques to alter the texture, a backlight effect and a few more. - I also added a Code mode where the simulator prints its real function calls next to the sheet while you paint 🤓♥️ It's still largely based on the same physics model as my prototype: Curtis et al.'s "Computer-Generated Watercolor". All in the browser. Current status: building and implementing a kid-friendly version for Marble App. Plenty of awesome things to learn with watercolor painting!

Last week-end I built a watercolor simulator based on real physics (as much as possible). A lot of you asked to play with it so i improved it and it's now live. New since the prototype: - More pigments (52), based on the best research out there to predict color mixes (Kubelka-Munk). - More luminous / glassy feel - Some fun experimental stuff like the salt and alcohol techniques to alter the texture, a backlight effect and a few more. - I also added a Code mode where the simulator prints its real function calls next to the sheet while you paint 🤓♥️ It's still largely based on the same physics model as my prototype: Curtis et al.'s "Computer-Generated Watercolor". All in the browser. Current status: building and implementing a kid-friendly version for Marble App. Plenty of awesome things to learn with watercolor painting!

Lionel Mora

308,329 次观看 • 1 个月前

New short course: Practical Multi AI Agents and Advanced Use Cases with crewAI. Learn to build and deploy advanced agent-based systems in real applications in this course, created with CrewAI and taught by its founder, João Moura! (Disclosure: I've made a small seed investment in CrewAI.) In this course, you’ll learn how to create advanced agent-based apps that use external tools, do performance testing, can be trained with human feedback, and perform multiple tasks with different large language models. You will build several practical agentic apps that provide real business value, such as an automated project planning system, lead scoring and engagement pipeline, customer support data analysis, and a robust content creation system. In detail, you will learn how to: - Create these multi-agent systems with the building blocks of tasks, agents, and crews, along with the different things that make them work, such as caching, memory, and guardrails. - Integrate your multi-agent application with internal and external systems. - Connect multiple agents in complex setups, including parallel, sequential, and hybrid configurations, and create flows involving multiple agentic applications working together. - Test your agentic workflow and train it using human feedback to optimize its performance for better and more consistent results. - Work with multiple LLMs in your multi-agent system, using the appropriate model sizes and providers to fit each agent’s specific task. - Start a project from scratch in your environment and prepare it for deployment. You’ll also learn from an interview between João and Jacob Wilson, the Commercial GenAI Principal at PwC , in which they discuss deploying agentic workflows in real industry use cases. By the end of this course, you will be equipped to start building custom multi-agentic systems for your work. Please sign up here!

New short course: Practical Multi AI Agents and Advanced Use Cases with crewAI. Learn to build and deploy advanced agent-based systems in real applications in this course, created with CrewAI and taught by its founder, João Moura! (Disclosure: I've made a small seed investment in CrewAI.) In this course, you’ll learn how to create advanced agent-based apps that use external tools, do performance testing, can be trained with human feedback, and perform multiple tasks with different large language models. You will build several practical agentic apps that provide real business value, such as an automated project planning system, lead scoring and engagement pipeline, customer support data analysis, and a robust content creation system. In detail, you will learn how to: - Create these multi-agent systems with the building blocks of tasks, agents, and crews, along with the different things that make them work, such as caching, memory, and guardrails. - Integrate your multi-agent application with internal and external systems. - Connect multiple agents in complex setups, including parallel, sequential, and hybrid configurations, and create flows involving multiple agentic applications working together. - Test your agentic workflow and train it using human feedback to optimize its performance for better and more consistent results. - Work with multiple LLMs in your multi-agent system, using the appropriate model sizes and providers to fit each agent’s specific task. - Start a project from scratch in your environment and prepare it for deployment. You’ll also learn from an interview between João and Jacob Wilson, the Commercial GenAI Principal at PwC , in which they discuss deploying agentic workflows in real industry use cases. By the end of this course, you will be equipped to start building custom multi-agentic systems for your work. Please sign up here!

Andrew Ng

341,528 次观看 • 1 年前

🔥🔥🔥Something big has been brewing at ChainOpera AI… For the past few months, our team has been quietly building ChainOpera AI Platform 2.0. The idea is simple, but fundamental: What if intelligence could be co created at every layer, from compute and models to agents, memory, content, and human creativity, by humans and AI working together in the same communities? Chatting. Collaborating. Creating. Building side by side. Every contribution can become part of a larger intelligence network, where the community can use, improve, and build upon what others create. This is ChainOpera AI Platform 2.0: a decentralized human + AI platform, built and fueled by its community. Here’s a first sneak peek at the prerelease build: chat with your Personal AI, bring agents into group conversations alongside people, build together, turn ideas into live creations, and share and monetize what you create for the community to use and build upon. From human creativity to machine intelligence. Built together. Owned together. Evolving together.

🔥🔥🔥Something big has been brewing at ChainOpera AI… For the past few months, our team has been quietly building ChainOpera AI Platform 2.0. The idea is simple, but fundamental: What if intelligence could be co created at every layer, from compute and models to agents, memory, content, and human creativity, by humans and AI working together in the same communities? Chatting. Collaborating. Creating. Building side by side. Every contribution can become part of a larger intelligence network, where the community can use, improve, and build upon what others create. This is ChainOpera AI Platform 2.0: a decentralized human + AI platform, built and fueled by its community. Here’s a first sneak peek at the prerelease build: chat with your Personal AI, bring agents into group conversations alongside people, build together, turn ideas into live creations, and share and monetize what you create for the community to use and build upon. From human creativity to machine intelligence. Built together. Owned together. Evolving together.

ChainOpera AI

14,252 次观看 • 16 天前

Explaining a product change often takes longer than making it. This AI can now build the change for your engineers to review. Small product fixes often have to wait because only engineers can make changes to the code: → A typo in the copy → An empty screen with no helpful message → A missing form field → A bug someone found but can't fix Base Code by Base44 lets anyone build these fixes on your existing code, right from your browser. Here's how it works: • Connect the GitHub repository your engineers already use • Describe the change in plain language • Base Code builds the change for you • Preview your real product running with the change • The change comes back to your engineers as a normal pull request Your engineers stay in control the whole time: ✅ Base Code never pushes to your default branch ✅ Your existing checks and protections still apply ✅ Engineers decide what gets merged No local setup is needed. For now, Base Code works with GitHub only. You can try it for free for 30 days: ↳ One invite covers your whole team ↳ Credits are included, so you can test it properly 📌 Try it here: 🎁 Use this coupon code: IC-79AD21-74794F-3CEF13-C80813 (valid for first 50 users) 🔄 Repost to help others turn product requests into real changes

Explaining a product change often takes longer than making it. This AI can now build the change for your engineers to review. Small product fixes often have to wait because only engineers can make changes to the code: → A typo in the copy → An empty screen with no helpful message → A missing form field → A bug someone found but can't fix Base Code by Base44 lets anyone build these fixes on your existing code, right from your browser. Here's how it works: • Connect the GitHub repository your engineers already use • Describe the change in plain language • Base Code builds the change for you • Preview your real product running with the change • The change comes back to your engineers as a normal pull request Your engineers stay in control the whole time: ✅ Base Code never pushes to your default branch ✅ Your existing checks and protections still apply ✅ Engineers decide what gets merged No local setup is needed. For now, Base Code works with GitHub only. You can try it for free for 30 days: ↳ One invite covers your whole team ↳ Credits are included, so you can test it properly 📌 Try it here: 🎁 Use this coupon code: IC-79AD21-74794F-3CEF13-C80813 (valid for first 50 users) 🔄 Repost to help others turn product requests into real changes

Andrew Bolis

40,165 次观看 • 10 天前