Imagine every pixel on your screen, streamed live directly from a model. No HTML, no layout engine, no code. Just exactly what you want to see. @eddiejiao_obj, @drewocarr and I built a prototype to see how this could actually work, and set out to make it real. We're calling it Flipbook. (1/5)

New Anthropic research: Emotion concepts and their function in a large language model. All LLMs sometimes act like they have emotions. But why? We found internal representations of emotion concepts that can drive Claude’s behavior, sometimes in surprising ways.

Seedance 2.0 absolutely nailed this one 🔥 Kling 3.0 comparison posted in the thread below

Seedance 2.0 absolutely nailed this one 🔥 Kling 3.0 comparison posted in the thread below

I built an AI system that automates product video creation for entire e-commerce catalogs. (Saves $30K per collection shoot, increases conversion rates by 40% on sites) Here's how the automation works: → Firecrawl scrapes product photos from any e-commerce product page → Nano Banana create 4 images showcasing each angle of the product → Google's Veo 3.1 animates a 360° motion video using the generated nano banana images → Each animation starts and ends with the original photo for seamless looping → Videos are automatically organized and stored in Google Drive → Everything processes in batches while you handle other business priorities This system can transform how DTC companies showcase products and consistently drives higher engagement from potential customers. Static product photos just don't cut it anymore. Customers want to see what a product looks and feels like before they buy. Want the complete blueprint? Here are the steps: 1. Like & RT this post ✅ 2. Follow me for more e-commerce automation insights 3. Comment "MOTION" I'll send you the entire n8n workflow, all the prompts, and a full setup video for free. No more expensive video shoots or wondering if your product photos are converting.

they say AI is slop they know nothing

Claude n8n Gamma = AI Investor Deck System that generated $127K last quarter... (And it's being used by founders raising Series A rounds) This system generates investor-grade pitch decks in 12 minutes with $15K worth of market research built-in... → No more 3 weeks trapped building PowerPoint decks manually → No more $3K-$5K agency fees for generic templates → No more designer dependencies killing your fundraising speed → No more recycled decks that VCs have seen 50 times already Just company brief → autonomous intelligence pipeline that builds Fortune 500-grade investor decks. Here's how it works: → Company Form Trigger (collects 5 strategic inputs, activates workflow) → Market Research Agent (TAM/SAM/SOM analysis competitive intelligence) → GTM Strategy Builder (actionable growth roadmap with ICP definition) → Gamma Deck Generation (renders investor-grade presentation automatically) → Auto-Export System (Drive delivery investor email generation) → Tracking Database (logs every output for iteration management) Built with investor psychology standards. Runs 24/7 without supervision. 12-minute deck generation. $0.87 cost per deck. Want the complete system? Like comment "GAMMA" repost, and I'll DM it to you. (must be following)

I got rejected by 144 investors before raising $150M for my $200M rev/year startup. After 144 rejections, I started questioning our approach. Were we solving the right problem? What were we doing wrong? Why weren’t investors seeing what we were seeing? Were we the right team to build this? We tried everything: different pitch angles, new deck structures, and reframing the problem. Then came the 145th meeting, where we closed our first growth round. That yes made everything worth it. But getting there took years of mistakes and hard work. We went through a lot of trial and error just to figure out what resonates with investors. We tried dozens of approaches to figure out what made investors engage. Some landed, most didn't. But each iteration taught us something about what builds conviction versus what just sounds good on paper. And once we cracked that code, our Series C closed faster than expected. And today, I see so many founders in the exact same position I was in 10 years ago: grinding through rejections, questioning everything, and trying to figure out what works. So today I want to give you the resource I wish I had back then: Something that shows you exactly how to structure these conversations and navigate the entire process (because the fundraising cycle can be a big distraction and take a toll on you as a founder). So I've partnered with Notion's Startups Team to create the essential fundraising resource that helps you avoid the mistakes that cost me years. Here's what you are getting: • The actual decks I used to raise $150M for Super[.]com (Series B, C) • 50 real examples from funded startups like Eleven Labs and Artisan AI • A searchable database of 10,000 investors - angels, VCs, and accelerators you can reach out to immediately (this alone would take months to build manually) • An AI-powered fundraising agent built into Notion with step-by-step prompts (no separate ChatGPT needed) Want access? • Like and share this post • Comment "FUNDRAISE" • Follow me so I can DM you the link I'll send it over ASAP. P.S.: If you are serious about fundraising (now or in the future), you should grab it right away.