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✨ New: Text to shareable web apps. Transform natural language into simple apps, UI, widgets, websites, games, forms – LITERALLY ANYTHING. Not just calculators, but fully featured web apps. 🪄 (desktop only for now) Something we’ve been iterating on at Big Human 👀 Soon: less buggy, more pretty, more... show more

Rus

135,674 subscribers

606,610 views • 3 years ago •via X (Twitter)

Science & Technology Education

Anya Rossi• Live Now

Private livecam show

11 Comments

Nikita Bier3 years ago

This is insane.

Rus3 years ago

Make anything with it yet?

Jackson Roberts3 years ago

Love it

Pasha3 years ago

this is hilarious

Rus3 years ago

Game over: humanity extinct

Video Boy3 years ago

It's called chicken nuggets.

Vineet Joseph3 years ago

This is 🔥

michael s galpert3 years ago

This is rad

Rus3 years ago

🙏

Paulius Dragunas3 years ago

🤯

Rus3 years ago

🐍

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klöss

463,336 views • 4 months ago

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There's An AI For That

32,716 views • 1 year ago

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33,920 views • 5 months ago

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Brandon M. Crenshaw

127,997 views • 5 months ago

🚨 THIS IS LITERALLY HUGE 🚨 The team that solved "app sprawl" just dropped their answer to "AI sprawl" Today I'm THRILLED to help bring Brain MAX by ClickUp to the Product Hunt 😸 community 🚀 This native desktop app gives you productivity superpowers by unifying ALL AI models into one place What makes Brain MAX different: ✨ Every AI model → One app ✨ Deep app integrations (not surface level) ✨ AI completes your actual tasks ✨ Talk-to-text that writes like YOU ✨ Daily agenda with prepped meeting context ✨ No waitlist (available NOW) This replaces 5+ apps you're juggling right now and the innovation labs team have been cooking around the clock on this 🍳 Zeb Evans Chris Cunningham and the ClickUp team are looking forward to hearing from you WOULD LOVE for you to check it out and show some love and share your comments on PH (link below) 👇

🚨 THIS IS LITERALLY HUGE 🚨 The team that solved "app sprawl" just dropped their answer to "AI sprawl" Today I'm THRILLED to help bring Brain MAX by ClickUp to the Product Hunt 😸 community 🚀 This native desktop app gives you productivity superpowers by unifying ALL AI models into one place What makes Brain MAX different: ✨ Every AI model → One app ✨ Deep app integrations (not surface level) ✨ AI completes your actual tasks ✨ Talk-to-text that writes like YOU ✨ Daily agenda with prepped meeting context ✨ No waitlist (available NOW) This replaces 5+ apps you're juggling right now and the innovation labs team have been cooking around the clock on this 🍳 Zeb Evans Chris Cunningham and the ClickUp team are looking forward to hearing from you WOULD LOVE for you to check it out and show some love and share your comments on PH (link below) 👇

KP

32,478 views • 1 year ago

Introducing Workshop: cloud + on-device agentic AI. And to celebrate, we're giving away $250k in Google Gemini AI credits. (details below). The future of AI work is neither cloud-based nor local. It's both. In Workshop Cloud, you can use agents powered by frontier models like Claude and/or open source models like Z.ai's GLM-5 to build internal tools, dashboards, and AI web apps. Or, breeze through tasks like managing your Google and Meta Ads. In Workshop Desktop, you can do all the same right on your computer, plus make desktop apps, mobile apps, and 3D creations. Our favorite part? You can power the full agent experience with local models like Qwen 3.5 family on your computer. Fully offline. 2026 is the year in which local models for agentic tasks will become viable for mainstream use. But the setup for tools like OpenClaw is like setting up Linux from scratch on your computer. Workshop Desktop is one-click to install on Windows, Mac, and Linux. It recommends which open source model you should use for your hardware and lets you download and run it right in the app. And its agent harness allows you to chat, create websites, build personal utilities, and analyze data. 100% offline. Or multitask with AI models in the cloud while running other agent threads locally. Start in Workshop Cloud when you want flexibility and speed. Download your project and continue in Workshop Desktop when you want local files, privacy, and/or better performance on large code bases. Publish from either. The agent tooling space is maturing and discerning users have come to expect a lot from their tools. We've packed Workshop with features to help you 10x your productivity. - Native support for skills - Autocompaction for seamless context management - Built-in AI for your apps - Dozens of connectors, like Google Drive, Big Query, and Supabase - dbt integration to ground your dashboards in your semantic layer - Native Github integration - Private app deployment - ... and more (+ we're shipping super fast) To access the free credit offer, RT this post and reply with "Workshop". Make sure you are following us so we can DM you the instructions to redeem. - First 100 to RT + comment get $500 in credits. - Everyone else gets up to $250 And thanks to our partners Modal, Google Gemini, and Z.ai!

Introducing Workshop: cloud + on-device agentic AI. And to celebrate, we're giving away $250k in Google Gemini AI credits. (details below). The future of AI work is neither cloud-based nor local. It's both. In Workshop Cloud, you can use agents powered by frontier models like Claude and/or open source models like Z.ai's GLM-5 to build internal tools, dashboards, and AI web apps. Or, breeze through tasks like managing your Google and Meta Ads. In Workshop Desktop, you can do all the same right on your computer, plus make desktop apps, mobile apps, and 3D creations. Our favorite part? You can power the full agent experience with local models like Qwen 3.5 family on your computer. Fully offline. 2026 is the year in which local models for agentic tasks will become viable for mainstream use. But the setup for tools like OpenClaw is like setting up Linux from scratch on your computer. Workshop Desktop is one-click to install on Windows, Mac, and Linux. It recommends which open source model you should use for your hardware and lets you download and run it right in the app. And its agent harness allows you to chat, create websites, build personal utilities, and analyze data. 100% offline. Or multitask with AI models in the cloud while running other agent threads locally. Start in Workshop Cloud when you want flexibility and speed. Download your project and continue in Workshop Desktop when you want local files, privacy, and/or better performance on large code bases. Publish from either. The agent tooling space is maturing and discerning users have come to expect a lot from their tools. We've packed Workshop with features to help you 10x your productivity. - Native support for skills - Autocompaction for seamless context management - Built-in AI for your apps - Dozens of connectors, like Google Drive, Big Query, and Supabase - dbt integration to ground your dashboards in your semantic layer - Native Github integration - Private app deployment - ... and more (+ we're shipping super fast) To access the free credit offer, RT this post and reply with "Workshop". Make sure you are following us so we can DM you the instructions to redeem. - First 100 to RT + comment get $500 in credits. - Everyone else gets up to $250 And thanks to our partners Modal, Google Gemini, and Z.ai!

Workshop AI

28,456 views • 4 months ago

⚡️We are excited to announce that our new no-code Enterprise Platform is NOW available in private beta! As RAG apps advance from prototype to production we’ve been overwhelmed by requests for an enterprise grade solution to provide these applications with the data they need. Designed to make it easy to get your data #RAGready, our Platform can preprocess more than 25 file types and soon will be fully #multimodal, also able to ingest audio, video and image files. We ship with a baseline suite of source connectors, including Amazon Web Services S3, Microsoft Azure Blob Storage, OneDrive, SFTP, Databricks Delta Table, Google Drive, Salesforce, Elastic, OpenSearch, and Google Cloud storage with many more fast following. Platform transforms your documents into a standardized JSON schema, broken down into semantically coherent elements allowing you to reconstruct your document in the manner most useful to you. Want only the narrative text but not the headers and footers? This is entirely configurable through the UI. Additionally, we generate more than 30 types of metadata for each element to make it easy to curate the data being written downstream and to support metadata filtering during retrieval. Smart chunking and the ability to choose from a range of embedding models are in from launch, delivering a turnkey solution for chunk and embedding experimentation. As for destination connectors, we've got that covered too, with Amazon Web Services S3, Pinecone, Chroma , Weaviate AI Database, Google Cloud storage, MongoDB, Microsoft Azure cognitive search, PostgreSQL, Elastic, OpenSearch, and Databricks Delta Table. And of course, all of this can be scheduled to keep your data continuously hydrated. The private-beta is live today! Sign-up to get access and come build the future of LLM data foundations with us: 🚀 #ETLforLLMs #AI #DataPreprocessing #DataScience #DataTransformation #LLMs #ETL #ML #PreppingData #MachineLearning #RAG #Engineer #Unstructured #Unstructuredio #RetrievalAugmentedGeneration #multimodal #AIJobs

⚡️We are excited to announce that our new no-code Enterprise Platform is NOW available in private beta! As RAG apps advance from prototype to production we’ve been overwhelmed by requests for an enterprise grade solution to provide these applications with the data they need. Designed to make it easy to get your data #RAGready, our Platform can preprocess more than 25 file types and soon will be fully #multimodal, also able to ingest audio, video and image files. We ship with a baseline suite of source connectors, including Amazon Web Services S3, Microsoft Azure Blob Storage, OneDrive, SFTP, Databricks Delta Table, Google Drive, Salesforce, Elastic, OpenSearch, and Google Cloud storage with many more fast following. Platform transforms your documents into a standardized JSON schema, broken down into semantically coherent elements allowing you to reconstruct your document in the manner most useful to you. Want only the narrative text but not the headers and footers? This is entirely configurable through the UI. Additionally, we generate more than 30 types of metadata for each element to make it easy to curate the data being written downstream and to support metadata filtering during retrieval. Smart chunking and the ability to choose from a range of embedding models are in from launch, delivering a turnkey solution for chunk and embedding experimentation. As for destination connectors, we've got that covered too, with Amazon Web Services S3, Pinecone, Chroma , Weaviate AI Database, Google Cloud storage, MongoDB, Microsoft Azure cognitive search, PostgreSQL, Elastic, OpenSearch, and Databricks Delta Table. And of course, all of this can be scheduled to keep your data continuously hydrated. The private-beta is live today! Sign-up to get access and come build the future of LLM data foundations with us: 🚀 #ETLforLLMs #AI #DataPreprocessing #DataScience #DataTransformation #LLMs #ETL #ML #PreppingData #MachineLearning #RAG #Engineer #Unstructured #Unstructuredio #RetrievalAugmentedGeneration #multimodal #AIJobs

Unstructured

21,874 views • 2 years ago

Our first Generative AI short course in JavaScript! GitHub recently reported that JavaScript is again the world’s most popular programming language. To support web developers exploring and developing with generative AI, we just launched a new short course in JavaScript taught by Jacob Lee, founding engineer at . In Build LLM Apps with LangChain.js you’ll learn elements common in AI development, including: (i) Using data loaders to pull data from common sources such as PDFs, websites, and databases (ii) Prompts, which are used to provide the LLM context (iii) Modules to support RAG such as text splitters and integrations with vector stores (iv) Working with different models to write applications that are not vendor-specific (v) Parsers, which extract and format the output for your downstream code to process You’ll also build with the LangChain Expression Language, which lets you easily compose sequences (also called chains) of modules to perform complex tasks using LLMs. Putting all this together, you’ll also work on a conversational question-answering LLM application capable of using external data as context. Please sign up here:

Our first Generative AI short course in JavaScript! GitHub recently reported that JavaScript is again the world’s most popular programming language. To support web developers exploring and developing with generative AI, we just launched a new short course in JavaScript taught by Jacob Lee, founding engineer at . In Build LLM Apps with LangChain.js you’ll learn elements common in AI development, including: (i) Using data loaders to pull data from common sources such as PDFs, websites, and databases (ii) Prompts, which are used to provide the LLM context (iii) Modules to support RAG such as text splitters and integrations with vector stores (iv) Working with different models to write applications that are not vendor-specific (v) Parsers, which extract and format the output for your downstream code to process You’ll also build with the LangChain Expression Language, which lets you easily compose sequences (also called chains) of modules to perform complex tasks using LLMs. Putting all this together, you’ll also work on a conversational question-answering LLM application capable of using external data as context. Please sign up here:

Andrew Ng

284,320 views • 2 years ago

I failed to make a web app on both Replit & Lovable (and I code). I still think every PM should try this at least once. Bottom line: • I didn't need to "code," but at some point I was definitely doing engineering. • Building a complex web application takes babysitting • These tools are amazing for expressing ideas and visualizing data • PMs, try this out! It builds intuition for being on the other side of an agent (and now you don't have to be afraid of failing) My background: I can build web apps (though I became a PM because I was pretty bad at it) What I wanted to build: I wanted to replicate Graphtreon (unofficial patreon scraper and public revenue dashboard), but for Maven (where my course is hosted). How it went for me: 🟢 ChatGPT/Claude helped me iterate to a great prompt (literally, "help me write a prompt for an AI LLM prototyping tool to build a web app that...") 🟢 I pasted that into both Lovable and Replit (why not open two tabs) 🟢 Iterating on the UI was awesome. If I kept feedback high-level, it would think of all the little flow details on its own (confirmation dialogs, errors) 🟡 It had backend powers, but needed *a lot* of obvious help on setting up simple backend web scraping (not nobel prize type work) 🟡 I tried to "empower" it with higher-level goals, but kept getting dragged back down to troubleshooting 🔴 I found myself babysitting every error, and building features solely for the purpose of observability and debugging 🔴 I was having fun, but for the wrong reasons (breaking through frustrating walls rather than for outcomes, insights, or innovation) That said, my friend succeeded. A former PM colleague (now founder) successfully built a web app using Lovable, and reported the same experience. He succeeded because he was way more persistent (spent many days fully focused on this) and also smarter. These tools are in a weird, adolescent neither-here-nor-there stage. That said, I'm still super impressed, and can't believe this even exists. Most importantly for product managers: I recommend trying this hands-on ✓ Timebox yourself to an hour ✓ What's a piece of software you didn't get approval to buy? ✓ Allow yourself to get in the weeds, if only as an exercise ✓ Build intuition for what it's like to be on the other side of an agent doing something really complex. Now you don't have to feel bad if you fail :)

I failed to make a web app on both Replit & Lovable (and I code). I still think every PM should try this at least once. Bottom line: • I didn't need to "code," but at some point I was definitely doing engineering. • Building a complex web application takes babysitting • These tools are amazing for expressing ideas and visualizing data • PMs, try this out! It builds intuition for being on the other side of an agent (and now you don't have to be afraid of failing) My background: I can build web apps (though I became a PM because I was pretty bad at it) What I wanted to build: I wanted to replicate Graphtreon (unofficial patreon scraper and public revenue dashboard), but for Maven (where my course is hosted). How it went for me: 🟢 ChatGPT/Claude helped me iterate to a great prompt (literally, "help me write a prompt for an AI LLM prototyping tool to build a web app that...") 🟢 I pasted that into both Lovable and Replit (why not open two tabs) 🟢 Iterating on the UI was awesome. If I kept feedback high-level, it would think of all the little flow details on its own (confirmation dialogs, errors) 🟡 It had backend powers, but needed a lot of obvious help on setting up simple backend web scraping (not nobel prize type work) 🟡 I tried to "empower" it with higher-level goals, but kept getting dragged back down to troubleshooting 🔴 I found myself babysitting every error, and building features solely for the purpose of observability and debugging 🔴 I was having fun, but for the wrong reasons (breaking through frustrating walls rather than for outcomes, insights, or innovation) That said, my friend succeeded. A former PM colleague (now founder) successfully built a web app using Lovable, and reported the same experience. He succeeded because he was way more persistent (spent many days fully focused on this) and also smarter. These tools are in a weird, adolescent neither-here-nor-there stage. That said, I'm still super impressed, and can't believe this even exists. Most importantly for product managers: I recommend trying this hands-on ✓ Timebox yourself to an hour ✓ What's a piece of software you didn't get approval to buy? ✓ Allow yourself to get in the weeds, if only as an exercise ✓ Build intuition for what it's like to be on the other side of an agent doing something really complex. Now you don't have to feel bad if you fail :)

Tal Raviv

41,324 views • 1 year ago

🚀 Today our team is launching Duels ⚔️, the world's first prediction market for content, built as a mini app on Farcaster, powered by Base and Doppler. Our thesis is simple: Content Coins are misunderstood. They’re not designed to moon. They’re onchain engagement primitives, turning media into instantly liquid tokens that capture attention. So why should traders care? Because the real upside comes from the apps built around them, and the tokens that power those app ecosystems. Content Coins unlock new game mechanics, in app experiences, and interactive formats. They drive engagement, spotlight creators, and turn attention into value, all onchain, rewarding both creators and consumers. Duels is our first proof point: a content prediction market where coins battle for ETH and visibility. But it’s just the beginning. We’re building an open ecosystem of gamified apps powered by Content and Creator Coins. So, where does the value really stack? The app coins that power the experiences. More on $DUELS soon.... Until then, hit the link at Duels ⚔️, open the Farcaster mini app, pick your coins, and let the duels begin ⚔️.

🚀 Today our team is launching Duels ⚔️, the world's first prediction market for content, built as a mini app on Farcaster, powered by Base and Doppler. Our thesis is simple: Content Coins are misunderstood. They’re not designed to moon. They’re onchain engagement primitives, turning media into instantly liquid tokens that capture attention. So why should traders care? Because the real upside comes from the apps built around them, and the tokens that power those app ecosystems. Content Coins unlock new game mechanics, in app experiences, and interactive formats. They drive engagement, spotlight creators, and turn attention into value, all onchain, rewarding both creators and consumers. Duels is our first proof point: a content prediction market where coins battle for ETH and visibility. But it’s just the beginning. We’re building an open ecosystem of gamified apps powered by Content and Creator Coins. So, where does the value really stack? The app coins that power the experiences. More on $DUELS soon.... Until then, hit the link at Duels ⚔️, open the Farcaster mini app, pick your coins, and let the duels begin ⚔️.

Naz

17,463 views • 1 year ago

EVERYTHING YOU NEED TO KNOW ABOUT CHATGPT'S "LOVABLE KILLER" CODEX SITES (in 25 mins): TLDR; the coolest part is that apps you build can update themselves autonomously 1. Codex Sites is not Replit or Lovable or Bolt. Those are great for one-prompting a full app. Codex Sites is for building apps that the agent keeps improving without you touching them. 2. Your personal website can update its own stats. Your internal dashboard can refresh its own data. Your product can add features while you sleep. The app is alive. 3. Start by invoking at-sites. Use realistic sample data. Always say "save for review, do not deploy." This unlocks building a real product, not a homepage. 4. Add persistent storage so the app remembers everything between visits. Without this it resets every time. Ask Codex to show you the data model before it builds. 5. Create safe actions. These are the specific things the agent is allowed to do to your app: add data, update cards, move things, score things. You define the boundaries. The agent operates within them. 6. Build skills so any future Codex chat knows how to interact with your app. The skill is basically a manual for the agent. Without it, every new chat starts from zero. 7. Save gate like a video game. Codex doesn't auto-save. Create checkpoints before you deploy so you can roll back if something breaks. 8. Close the autonomous loop. This is the magic. Once memory, safe actions, and skills are set up, the agent can update your app from any chat, any context, without you switching tabs. 9. Use the plugins most people are sleeping on. Figma, Canva, HeyGen for avatar videos, Game Studio for interactive experiences, FAL for image generation, Hugging Face for open source models. Worth adding a few. 10. The big picture: we went from building apps to raising apps. You set up the structure, the guardrails, and the skills. The agent does the rest. That's autonomous product building and it's here right now. Tbh, Codex sites isn't perfect. Still a lot to be desired like domains, db, authentication etc. But it's a glimpse into this idea that apps can be updated/improved upon automonously. And Codex Sites is REALLY good if you live in Codex everyday. Which more and more of are. And that's really cool. Will be interesting to see how Lovable, Bolt, Replit etc react to this. full tutorial on The Startup Ideas Podcast (SIP) 🧃 where you get your pods watch share with a friend i'm rooting for you What do you think of Codex and Codex sites?

GREG ISENBERG

68,477 views • 1 month ago

[VIDEO] The Humane AI pin just launched for $699. Is this pin going to be the new Apple iPhone? Idk, but here are 3 big takeaways from the launch: 1. OpenAI/Microsoft will eventually become infra for all tech Hard to beat them at this rate, they will become AWS for AI 2. AI is gonna make apps (as we know them) a lot less important Screenless interfaces powered by AI will be connected to apps on the back end and bundled into a subscription service My Humane subscription will come with Tidal and I will rarely/never need to interface with tidal again Many consumer products will go from B2C -> B2B 3. Product design is going to look a lot different in 5-10 years Maybe unrecognizable. The bottom line is how we are interacting with these devices are changing. This week we had the GPT store. Agents are the new apps. Now we have AI pins. The palm of your hand is your new screen. Wild times. -- Follow me GREG ISENBERG for more takes on where the world is going. Link in bio for more insights. Email going out today on how to find proven startup ideas.

[VIDEO] The Humane AI pin just launched for $699. Is this pin going to be the new Apple iPhone? Idk, but here are 3 big takeaways from the launch: 1. OpenAI/Microsoft will eventually become infra for all tech Hard to beat them at this rate, they will become AWS for AI 2. AI is gonna make apps (as we know them) a lot less important Screenless interfaces powered by AI will be connected to apps on the back end and bundled into a subscription service My Humane subscription will come with Tidal and I will rarely/never need to interface with tidal again Many consumer products will go from B2C -> B2B 3. Product design is going to look a lot different in 5-10 years Maybe unrecognizable. The bottom line is how we are interacting with these devices are changing. This week we had the GPT store. Agents are the new apps. Now we have AI pins. The palm of your hand is your new screen. Wild times. -- Follow me GREG ISENBERG for more takes on where the world is going. Link in bio for more insights. Email going out today on how to find proven startup ideas.

GREG ISENBERG

2,310,399 views • 2 years ago