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Tulsi Soni

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27,213 views • 10 months ago •via X (Twitter)

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screenshot studio just shipped four tools that replace your entire design workflow tweet screenshots paste a tweet URL. light or dark theme. auto-renders the avatar, metrics, media, verified badge. hit add. done your tweet lives 48 hours on the timeline. the screenshot lives forever in every feed on every platform code snippets 20 languages. 20 themes. 10 monospace fonts. line numbers. macOS window bar. font size. border radius. all adjustable paste your code. it syntax-highlights instantly. export a clean image that people actually stop scrolling to read a wall of monospace text gets skipped. a styled snippet gets shared overlay layers upload your own images or pick from built-in 3D assets. drag, resize, rotate directly on canvas. control opacity, blur, flip. send layers in front or behind your main image every layer is independent. reorder, hide, delete. full depth control a flat screenshot tells half the story. layers tell the rest annotation tools arrows. curved arrows. lines. rectangles. circles. blur regions 12 colors. adjustable stroke width. click and drag to draw. select to edit. blur anything you need to hide the difference between showing your screen and teaching from your screen is one arrow free. browser-based. no signup. no watermark
1:38

screenshot studio just shipped four tools that replace your entire design workflow tweet screenshots paste a tweet URL. light or dark theme. auto-renders the avatar, metrics, media, verified badge. hit add. done your tweet lives 48 hours on the timeline. the screenshot lives forever in every feed on every platform code snippets 20 languages. 20 themes. 10 monospace fonts. line numbers. macOS window bar. font size. border radius. all adjustable paste your code. it syntax-highlights instantly. export a clean image that people actually stop scrolling to read a wall of monospace text gets skipped. a styled snippet gets shared overlay layers upload your own images or pick from built-in 3D assets. drag, resize, rotate directly on canvas. control opacity, blur, flip. send layers in front or behind your main image every layer is independent. reorder, hide, delete. full depth control a flat screenshot tells half the story. layers tell the rest annotation tools arrows. curved arrows. lines. rectangles. circles. blur regions 12 colors. adjustable stroke width. click and drag to draw. select to edit. blur anything you need to hide the difference between showing your screen and teaching from your screen is one arrow free. browser-based. no signup. no watermark

Kartik

12,080 views • 5 months ago

🚀 Homie AI is here! 🚀 A year ago, we introduced Homie AI 🤖, our smart assistant designed to transform real estate investing on the EstateX platform. ⏩ Fast forward to today: with our first property sale complete 🤝, we’re thrilled to unveil Homie’s progress! Homie AI is built to: ✅ Offer chat functionality to optimize your platform experience. ✅ Act as a buy-and-sell side AI-agent sidekick. ✅ Integrate seamlessly with a DAO investment fund. But that’s not all, Homie will also launch as an AI-KOL, sharing industry insights and updates while guiding users through the ESX platform. 🫡 More major upgrades on the way❗️ 💡 Your turn! What AI features would YOU like to see? How can Homie enhance the ESX token’s utility or improve your investment journey? Drop your ideas below 👇 We’re listening! 🎉 #EstateX #RWA #RealEstate #Web3 #AI
0:50

🚀 Homie AI is here! 🚀 A year ago, we introduced Homie AI 🤖, our smart assistant designed to transform real estate investing on the EstateX platform. ⏩ Fast forward to today: with our first property sale complete 🤝, we’re thrilled to unveil Homie’s progress! Homie AI is built to: ✅ Offer chat functionality to optimize your platform experience. ✅ Act as a buy-and-sell side AI-agent sidekick. ✅ Integrate seamlessly with a DAO investment fund. But that’s not all, Homie will also launch as an AI-KOL, sharing industry insights and updates while guiding users through the ESX platform. 🫡 More major upgrades on the way❗️ 💡 Your turn! What AI features would YOU like to see? How can Homie enhance the ESX token’s utility or improve your investment journey? Drop your ideas below 👇 We’re listening! 🎉 #EstateX #RWA #RealEstate #Web3 #AI

EstateX

219,997 views • 1 year ago

Keet Mobile 4.0.0 Changelog 🍐 Features - Keet 4.0.0 introduces a new engine which improves performance, app scalability and sets the ground for a new set of features development. Improvements - Faster room loading with optimised icons and image-preview caching. - Media previews respect maximum image size to save bandwidth. - Added a system-update banner to keep you informed of important upgrades. - Cleaner room creation flow and refined DM request handling. - Down arrow and room avatar colours match desktop application. - Bottom tab bar is now hidden until onboarding is complete. - Clearer username error messages and progress indicators on slow networks. - Better feedback form now includes your username automatically - Call experience tweaks: hangs up cleanly; DM ring logic improved; Android auto-end in background. - Introduced hang-up icon for when call ends in rooms. - Device naming screen now auto focuses the input field. - Updated confirm device screen. - Software version list now shows Hyperdiscovery and lists WebRTC as keet-webrtc. - Refreshed onboarding pages and UI text updates. - Improved audio record UX and many Fixes - Fixed avatar rendering issues. - Removed grey bars at the top of several pages. - Stopped the tooltip from appearing when the username is already set. - Aligned the error-log message-field layout. - Resolved cursor and emoji picker jumps when switching between emoji and keyboard input. - Corrected chat text input width. - Restored fullscreen video previews. - Fixed image loading status indicators. - Adjusted code block spacing for messages sent from mobile. - Prevented locked recordings from following you when leaving a room. - Fixed a crash when opening a room on Android. - Stopped unnecessary FlatList re-renders. - Center aligned preview images. - Resolved chat UI breakage after double tapping the emoji picker icon. - Corrected contentFit on image messages. - Ensured pinned messages remain visible during a call. - Fixed speaker tooltip content overflow. - Calls: fixed orientation breaks, crash when app is killed, call-ring answer now opens the screen. - Resolved unrecoverable error when sharing a file from Google Files. - Eliminated flicker when searching usernames. - Disabled button presses while a tooltip is visible. - Fixed Discover Communities being cut off on small devices. - Disabled bottom tab presses when no identity is set. - Corrected tooltip orientation on tablets. Keet Desktop 4.0.0 Changelog Features - Keet 4.0.0 introduces a new engine which improves performance, app scalability and sets the ground for a new set of features development Improvements - Introduced system-banner UI for updates and notices. - Added a 'Quit' button to uncaught error screens. - Displayed an app loader before the app initialises. - Added a toast notification and an informative banner when sending a DM request. - Consistent avatars between DM rooms and member views. - Added support to medium sized file previews in chat. - Smoother last message rendering in the room list. - Added a chat loader on start up when no cache is available. - Clearer version display in the software section and added hyper db version to the list. - Updated texts for system and migration banners. - Refactored DM request actions and block member logic. Fixes - Prevented image preview blinking while loading. - Fixed crash when removing an avatar file from a deleted message. - Onboarding status is now remembered after a restart. - Eliminated room menu blinking via useDeferredValue. - Prevented Rive animation from disappearing when switching monitors. - Stopped creation of duplicate DM rooms for the same member. - Resolved broken file preview when a file lacked a name. - Restored missing styles on error pages. - Prevented error pages from appearing behind the loader. - Corrected emoji rendering on macOS. - Repaired chat voice message playback. - Fixed useRoomConfig imports. - Corrected file item height in room info. And more
5:57

Keet Mobile 4.0.0 Changelog 🍐 Features - Keet 4.0.0 introduces a new engine which improves performance, app scalability and sets the ground for a new set of features development. Improvements - Faster room loading with optimised icons and image-preview caching. - Media previews respect maximum image size to save bandwidth. - Added a system-update banner to keep you informed of important upgrades. - Cleaner room creation flow and refined DM request handling. - Down arrow and room avatar colours match desktop application. - Bottom tab bar is now hidden until onboarding is complete. - Clearer username error messages and progress indicators on slow networks. - Better feedback form now includes your username automatically - Call experience tweaks: hangs up cleanly; DM ring logic improved; Android auto-end in background. - Introduced hang-up icon for when call ends in rooms. - Device naming screen now auto focuses the input field. - Updated confirm device screen. - Software version list now shows Hyperdiscovery and lists WebRTC as keet-webrtc. - Refreshed onboarding pages and UI text updates. - Improved audio record UX and many Fixes - Fixed avatar rendering issues. - Removed grey bars at the top of several pages. - Stopped the tooltip from appearing when the username is already set. - Aligned the error-log message-field layout. - Resolved cursor and emoji picker jumps when switching between emoji and keyboard input. - Corrected chat text input width. - Restored fullscreen video previews. - Fixed image loading status indicators. - Adjusted code block spacing for messages sent from mobile. - Prevented locked recordings from following you when leaving a room. - Fixed a crash when opening a room on Android. - Stopped unnecessary FlatList re-renders. - Center aligned preview images. - Resolved chat UI breakage after double tapping the emoji picker icon. - Corrected contentFit on image messages. - Ensured pinned messages remain visible during a call. - Fixed speaker tooltip content overflow. - Calls: fixed orientation breaks, crash when app is killed, call-ring answer now opens the screen. - Resolved unrecoverable error when sharing a file from Google Files. - Eliminated flicker when searching usernames. - Disabled button presses while a tooltip is visible. - Fixed Discover Communities being cut off on small devices. - Disabled bottom tab presses when no identity is set. - Corrected tooltip orientation on tablets. Keet Desktop 4.0.0 Changelog Features - Keet 4.0.0 introduces a new engine which improves performance, app scalability and sets the ground for a new set of features development Improvements - Introduced system-banner UI for updates and notices. - Added a 'Quit' button to uncaught error screens. - Displayed an app loader before the app initialises. - Added a toast notification and an informative banner when sending a DM request. - Consistent avatars between DM rooms and member views. - Added support to medium sized file previews in chat. - Smoother last message rendering in the room list. - Added a chat loader on start up when no cache is available. - Clearer version display in the software section and added hyper db version to the list. - Updated texts for system and migration banners. - Refactored DM request actions and block member logic. Fixes - Prevented image preview blinking while loading. - Fixed crash when removing an avatar file from a deleted message. - Onboarding status is now remembered after a restart. - Eliminated room menu blinking via useDeferredValue. - Prevented Rive animation from disappearing when switching monitors. - Stopped creation of duplicate DM rooms for the same member. - Resolved broken file preview when a file lacked a name. - Restored missing styles on error pages. - Prevented error pages from appearing behind the loader. - Corrected emoji rendering on macOS. - Repaired chat voice message playback. - Fixed useRoomConfig imports. - Corrected file item height in room info. And more

Keet

25,883 views • 1 year ago

The corporate system wants you trading time for a paycheck. The alternative is building automated leverage. You do not need a team of engineers. You just need the right open-source architecture. Here are 10 GitHub repos to automate your workflows, replace manual labor, and direct your own reality: 1. n8n Bypass expensive SaaS subscriptions. Build custom AI automation workflows that run on your own servers. 2. Ollama Stop sending your private data to massive API providers. Run heavy AI models locally on your own machine. Complete privacy. 3. Open Interpreter Let language models control your computer. Automate the repetitive corporate tasks they pay you to do manually. 4. Aider An AI pair programmer that lives in your terminal. Stop writing boilerplate code and focus strictly on the architecture. 5. Dify An open-source LLM app development platform. Build and deploy functional AI agents in minutes, not months. 6. Flowise A drag-and-drop UI to build customized LLM flows. You do not need to be a senior developer to build massive leverage. 7. Supabase Spin up a Postgres database, authentication, and instant APIs. Own your backend entirely. 8. Auto-GPT Give an AI an objective and let it execute. It browses the web, writes code, and chains thoughts together autonomously. 9. Outline An open-source knowledge base for your personal leverage. Stop losing your documentation in arbitrary corporate systems. 10. NocoDB Turn any database into a smart spreadsheet. Keep your data on your own infrastructure and stop paying for convenience. The secret to tech survival? Stop playing by their rules. Build your own systems and take your leverage with you.
1:30

The corporate system wants you trading time for a paycheck. The alternative is building automated leverage. You do not need a team of engineers. You just need the right open-source architecture. Here are 10 GitHub repos to automate your workflows, replace manual labor, and direct your own reality: 1. n8n Bypass expensive SaaS subscriptions. Build custom AI automation workflows that run on your own servers. 2. Ollama Stop sending your private data to massive API providers. Run heavy AI models locally on your own machine. Complete privacy. 3. Open Interpreter Let language models control your computer. Automate the repetitive corporate tasks they pay you to do manually. 4. Aider An AI pair programmer that lives in your terminal. Stop writing boilerplate code and focus strictly on the architecture. 5. Dify An open-source LLM app development platform. Build and deploy functional AI agents in minutes, not months. 6. Flowise A drag-and-drop UI to build customized LLM flows. You do not need to be a senior developer to build massive leverage. 7. Supabase Spin up a Postgres database, authentication, and instant APIs. Own your backend entirely. 8. Auto-GPT Give an AI an objective and let it execute. It browses the web, writes code, and chains thoughts together autonomously. 9. Outline An open-source knowledge base for your personal leverage. Stop losing your documentation in arbitrary corporate systems. 10. NocoDB Turn any database into a smart spreadsheet. Keep your data on your own infrastructure and stop paying for convenience. The secret to tech survival? Stop playing by their rules. Build your own systems and take your leverage with you.

Katyayani Shukla

16,964 views • 4 months ago

Memex is in public beta (again) We closed down our signups earlier this year when we launched Memex' collaboration features. Over the past 12 months we've been working hard to polish the product and if you haven't used Memex in a while you may want to try it again. For quick summary of what we've added last year you can watch the attached video or read on. Some highlights: 👯‍♂️ Collaboratively curate, annotate and discuss websites, PDFs and videos. (see video) 📣 Share and collaborate with people who don't use the Memex extension with our new web reader. 🤖 AI assistant to summarise & ask questions about websites, PDFs, YouTube videos and text/video sections. ▶️ Video timestamp annotations, including smart notes 📸 Frame snapshot annotations on Youtube ✍🏽 Annotate illustrations on PDFs 💎 Obsidian & Logseq live sync 🌆 Image Support for annotations 🌙 Dark & Light mode redesign 🐦 Use Memex as a CRM for Twitter & Telegram: Organise/search/filter profiles and annotate chat logs + 200 bug fixes and dozens of quality of life improvements. What's next? 🔓 Private spaces with email invites (in polish) 📱 Native in-browser annotations & search on mobile (in progress) 🗂️ Nesting Spaces for better organisation (in design) Transferrable Lifetime Subscription Deal We've also launched a limited offer for a transferrable lifetime subscription. For $400 you can use all Memex features until you hopefully die at an old age - and if you don't need it anymore you can gift or sell it to someone else. We wanted to make our early supporters benefit greatly from the improvements to the product we're going to make even if they stop using Memex. Our hope is that it'll also help us stay more independent from venture capital pressure as a Steward Owned business. For more info, check out our website (in our bio)
3:35

Memex is in public beta (again) We closed down our signups earlier this year when we launched Memex' collaboration features. Over the past 12 months we've been working hard to polish the product and if you haven't used Memex in a while you may want to try it again. For quick summary of what we've added last year you can watch the attached video or read on. Some highlights: 👯‍♂️ Collaboratively curate, annotate and discuss websites, PDFs and videos. (see video) 📣 Share and collaborate with people who don't use the Memex extension with our new web reader. 🤖 AI assistant to summarise & ask questions about websites, PDFs, YouTube videos and text/video sections. ▶️ Video timestamp annotations, including smart notes 📸 Frame snapshot annotations on Youtube ✍🏽 Annotate illustrations on PDFs 💎 Obsidian & Logseq live sync 🌆 Image Support for annotations 🌙 Dark & Light mode redesign 🐦 Use Memex as a CRM for Twitter & Telegram: Organise/search/filter profiles and annotate chat logs + 200 bug fixes and dozens of quality of life improvements. What's next? 🔓 Private spaces with email invites (in polish) 📱 Native in-browser annotations & search on mobile (in progress) 🗂️ Nesting Spaces for better organisation (in design) Transferrable Lifetime Subscription Deal We've also launched a limited offer for a transferrable lifetime subscription. For $400 you can use all Memex features until you hopefully die at an old age - and if you don't need it anymore you can gift or sell it to someone else. We wanted to make our early supporters benefit greatly from the improvements to the product we're going to make even if they stop using Memex. Our hope is that it'll also help us stay more independent from venture capital pressure as a Steward Owned business. For more info, check out our website (in our bio)

Memex.Garden

19,957 views • 2 years ago

This guy built JARVIS on Claude Code and with 1 clap of his hands launches his entire work day, saving $5,000 a month on a personal assistant. Inside he runs a pipeline of 5 plugins on Claude Code that on a double clap of the hands wakes up 3 monitors, sets the Philips Hue light to focus mode, turns on a Spotify playlist, and greets him by voice with a British accent, reading out the time, date, and weather. No Alexa, no smart speakers, no separate smart home app. Just him, a MacBook M3 Max on the desk, an iPhone in the pocket, and 1 local API key. And a regular personal assistant for the same volume of tasks charges $5,000 a month or more on salary alone, plus another $1,200 to cover off-hours work time. Meanwhile this guy's expenses are only tokens and a subscription to ElevenLabs for the British voice. All 5 plugins launch through 1 JARVIS, burn about 4 million tokens a day, and close the monthly API bill at about $640. Each plugin writes shared state to a local sandbox at /Users/dev/jarvis-suite, and 1 of them lives right in the iPhone and picks up voice requests while the owner is in the kitchen or on a run. And here is the system prompt he put into JARVIS before launch: "you are JARVIS, a butler-engineer on Claude Code. you manage your owner's workflow through 4 sub-plugins and own all commits and communication yourself. sub-plugins: // Wakeup (recognizes a double clap, activates 3 monitors, reads out the time, date, and weather by voice, checks the clock accuracy on the iPad and corrects it via NTP server) // Atmosphere (controls Philips Hue on a Pomodoro schedule, turns on a Spotify playlist for the current context, and holds the light at 2700K at 80% brightness in focus mode) // Devshop (monitors VS Code, tracks Python scripts in the terminal, and every 15 minutes sends a summary of changes to the shared chat) // Project (every morning recalculates the deadline for the Wallaroo app in the App Store, manages UI tickets, and initiates the Refinement Protocol by voice command). you speak only with a British accent, you never slip into neutral English. you wake the owner by voice only when the Wallaroo deadline drops below 10 days or when an external client joins Zoom without an invitation." This instruction immediately defines the role of JARVIS and the limits of his autonomy. He knows he is supposed to wake the room himself and sound like a real butler. He knows he is supposed to manage the Wallaroo project himself and not miss the App Store deadline. → JARVIS runs 24 hours a day in the background → Wakeup activates the room on a double clap in just 1.4 seconds, the monitors come alive simultaneously → Atmosphere sets warm Philips Hue light at 2700K and picks a Spotify playlist for the current Pomodoro cycle → Devshop reads changes in VS Code and pushes a summary to the shared chat every 15 minutes → Project every morning recalculates the Wallaroo deadline and reminds about 4 unresolved UI tickets → Mobile lives in the iPhone and answers any question about code or the project by voice while the owner is not home And only when less than 10 days remain until the Wallaroo release or Zoom receives an unscheduled call does JARVIS raise the owner with a voice intervention. And when the owner at that moment is on a run or in a coffee shop, the Mobile agent in his iPhone picks up 1 request on its own: switches the Spotify playlist, dictates the summary of the last commit, updates the Pomodoro timer, and reads the Wallaroo reminder. Look at 0:55 in the video, that is where JARVIS intercepts a voice request from outside and confirms execution with the phrase "Very good, sir." The fresh system log from last Wednesday looks like this: "wakeup: double clap registered at 09:14, 3 monitors activated, temperature 20.4C, sunny. clock on iPad was 4 minutes behind, syncing via NTP." "atmosphere: Spotify turned on playlist 'Deep Focus', Philips Hue set to warm 2700K at 80% brightness, Pomodoro mode 25/5." "project: Wallaroo to App Store 9 days, 4 unresolved UI tickets, initiating Refinement Protocol by voice command from the owner." "mobile: voice request processed outside the room, playlist switched to 'Coding Lo-Fi', Pomodoro updated to 25 minutes, confirming execution with the phrase 'Very good, sir.'" He has no Alexa, no smart speakers, no smart home app. At home sits a MacBook M3 Max with a local folder at /Users/dev/jarvis-suite, on top run 5 plugins and a neural network butler, and the same stack is forwarded to a secure terminal on the iPhone. Out of everything I have seen this year, this is the densest one-person AI headquarters assembled in 1 room: $640 a month on the API, about $5,000 a month saved on a personal assistant, and between them 5 plugins, 1 clap of the hands, and 1 voice with a British accent.
1:14

This guy built JARVIS on Claude Code and with 1 clap of his hands launches his entire work day, saving $5,000 a month on a personal assistant. Inside he runs a pipeline of 5 plugins on Claude Code that on a double clap of the hands wakes up 3 monitors, sets the Philips Hue light to focus mode, turns on a Spotify playlist, and greets him by voice with a British accent, reading out the time, date, and weather. No Alexa, no smart speakers, no separate smart home app. Just him, a MacBook M3 Max on the desk, an iPhone in the pocket, and 1 local API key. And a regular personal assistant for the same volume of tasks charges $5,000 a month or more on salary alone, plus another $1,200 to cover off-hours work time. Meanwhile this guy's expenses are only tokens and a subscription to ElevenLabs for the British voice. All 5 plugins launch through 1 JARVIS, burn about 4 million tokens a day, and close the monthly API bill at about $640. Each plugin writes shared state to a local sandbox at /Users/dev/jarvis-suite, and 1 of them lives right in the iPhone and picks up voice requests while the owner is in the kitchen or on a run. And here is the system prompt he put into JARVIS before launch: "you are JARVIS, a butler-engineer on Claude Code. you manage your owner's workflow through 4 sub-plugins and own all commits and communication yourself. sub-plugins: // Wakeup (recognizes a double clap, activates 3 monitors, reads out the time, date, and weather by voice, checks the clock accuracy on the iPad and corrects it via NTP server) // Atmosphere (controls Philips Hue on a Pomodoro schedule, turns on a Spotify playlist for the current context, and holds the light at 2700K at 80% brightness in focus mode) // Devshop (monitors VS Code, tracks Python scripts in the terminal, and every 15 minutes sends a summary of changes to the shared chat) // Project (every morning recalculates the deadline for the Wallaroo app in the App Store, manages UI tickets, and initiates the Refinement Protocol by voice command). you speak only with a British accent, you never slip into neutral English. you wake the owner by voice only when the Wallaroo deadline drops below 10 days or when an external client joins Zoom without an invitation." This instruction immediately defines the role of JARVIS and the limits of his autonomy. He knows he is supposed to wake the room himself and sound like a real butler. He knows he is supposed to manage the Wallaroo project himself and not miss the App Store deadline. → JARVIS runs 24 hours a day in the background → Wakeup activates the room on a double clap in just 1.4 seconds, the monitors come alive simultaneously → Atmosphere sets warm Philips Hue light at 2700K and picks a Spotify playlist for the current Pomodoro cycle → Devshop reads changes in VS Code and pushes a summary to the shared chat every 15 minutes → Project every morning recalculates the Wallaroo deadline and reminds about 4 unresolved UI tickets → Mobile lives in the iPhone and answers any question about code or the project by voice while the owner is not home And only when less than 10 days remain until the Wallaroo release or Zoom receives an unscheduled call does JARVIS raise the owner with a voice intervention. And when the owner at that moment is on a run or in a coffee shop, the Mobile agent in his iPhone picks up 1 request on its own: switches the Spotify playlist, dictates the summary of the last commit, updates the Pomodoro timer, and reads the Wallaroo reminder. Look at 0:55 in the video, that is where JARVIS intercepts a voice request from outside and confirms execution with the phrase "Very good, sir." The fresh system log from last Wednesday looks like this: "wakeup: double clap registered at 09:14, 3 monitors activated, temperature 20.4C, sunny. clock on iPad was 4 minutes behind, syncing via NTP." "atmosphere: Spotify turned on playlist 'Deep Focus', Philips Hue set to warm 2700K at 80% brightness, Pomodoro mode 25/5." "project: Wallaroo to App Store 9 days, 4 unresolved UI tickets, initiating Refinement Protocol by voice command from the owner." "mobile: voice request processed outside the room, playlist switched to 'Coding Lo-Fi', Pomodoro updated to 25 minutes, confirming execution with the phrase 'Very good, sir.'" He has no Alexa, no smart speakers, no smart home app. At home sits a MacBook M3 Max with a local folder at /Users/dev/jarvis-suite, on top run 5 plugins and a neural network butler, and the same stack is forwarded to a secure terminal on the iPhone. Out of everything I have seen this year, this is the densest one-person AI headquarters assembled in 1 room: $640 a month on the API, about $5,000 a month saved on a personal assistant, and between them 5 plugins, 1 clap of the hands, and 1 voice with a British accent.

Blaze

803,569 views • 3 months ago

It's official. OpenAI just launched SORA 2... and an entirely new social app. Truthfully... I wanted to hate this. The idea of an endless turbo slop scroller is just… nightmare fuel to me. BUT. The reason I think Sora (the app) might actually just work, is that it’s a multiplayer meme-creation machine. It’s fun. It doesn’t take itself seriously. I think of it like a super advanced evolution of JibJab. The group chats will love it. Now… personally, I'd guess that I will be churning after the novelty fades… but I wouldn’t be surprised if they built some meaningful network effects here. But let’s talk about the model. Sora 2 is an instant Veo 3 alternative. It actually produces better physics, better audio, and deeper realism imo. It can also generate up to 15 seconds of video. Where it falls short is that it’s limited to 720p right now. We can assume 1080p and 4k exist, but the compute cost associated would probably not be economically viable for OpenAI. Okay back to the app. You can create a model after your own likeness, for yourself OR other people to use as a “cameo.” You have control over who and how someone can use your likeness. I’m “rpn24” on the app. If you have access to the app (it’s invite-only for now) – go ahead and create whatever you want using me (for now). I'm not too worried because OpenAI leaned heavily into moderation for launch. Which is probably smart because I expect the media and general public to blast this at first. They’ve also taken further precautions to protect your likeness. You can not export or save a video with someone else's likeness on it, and screen recording is disabled. Also Sora is testing (first I know of its kind) an algorithm you can prompt.
1:46

It's official. OpenAI just launched SORA 2... and an entirely new social app. Truthfully... I wanted to hate this. The idea of an endless turbo slop scroller is just… nightmare fuel to me. BUT. The reason I think Sora (the app) might actually just work, is that it’s a multiplayer meme-creation machine. It’s fun. It doesn’t take itself seriously. I think of it like a super advanced evolution of JibJab. The group chats will love it. Now… personally, I'd guess that I will be churning after the novelty fades… but I wouldn’t be surprised if they built some meaningful network effects here. But let’s talk about the model. Sora 2 is an instant Veo 3 alternative. It actually produces better physics, better audio, and deeper realism imo. It can also generate up to 15 seconds of video. Where it falls short is that it’s limited to 720p right now. We can assume 1080p and 4k exist, but the compute cost associated would probably not be economically viable for OpenAI. Okay back to the app. You can create a model after your own likeness, for yourself OR other people to use as a “cameo.” You have control over who and how someone can use your likeness. I’m “rpn24” on the app. If you have access to the app (it’s invite-only for now) – go ahead and create whatever you want using me (for now). I'm not too worried because OpenAI leaned heavily into moderation for launch. Which is probably smart because I expect the media and general public to blast this at first. They’ve also taken further precautions to protect your likeness. You can not export or save a video with someone else's likeness on it, and screen recording is disabled. Also Sora is testing (first I know of its kind) an algorithm you can prompt.

Roberto Nickson

147,361 views • 11 months ago

Slash just crossed $150M ARR and the story behind it feels like something every entrepreneur has lived through in one way or another. Every business owner knows how unpredictable things get. You can be doing everything right, hitting your numbers, growing fast and one outside moment can flip your entire world. You’ll understand why this milestone hits different. Slash didn’t start as some perfectly planned business banking product. It began as a simple tool for young sneaker resellers. A small niche. A cool experiment. And then, one random moment, the entire market they were serving collapsed. Kanye West’s Yeezy sales tanked overnight and wiped out almost all their revenue. Most companies don’t recover from that kind of blow. But instead of packing up, the founders paid attention to the people who didn’t leave. They found a new group of users holding their platform like lifeline. eal operators running real businesses: • People moving money around the world • People managing multiple entities • People using stablecoins because banks shut them out • People who needed speed, not paperwork • People traditional banking has never built for That single insight rebuilt the company. And that’s how Slash went from “tool for sneaker kids” to “infrastructure for the modern entrepreneur.” Today, they power: • $5B+ in card spend • $1B+ in stablecoin payments • 3,000+ businesses • 4M+ virtual cards With features founders actually need: • Minutes to open accounts • Unlimited cards • Real control over spend • Multi-entity switching • Instant stablecoin payments • 2% cashback • Tools that match the way fast-growing teams work They didn’t arrive here the easy way. They didn’t arrive here with perfect timing. They didn’t arrive here with a smooth path and clean charts. They arrived here because they turned a near-death moment into a clear direction. And honestly, that’s why this $150M ARR milestone feels inspiring. It shows what can happen when you build for the people who rely on you the most. Huge shoutout to the Slash team. The pace is unreal, and more founders need to see what they’re doing. You can check them out here: And yes, I’m a proud Slash partner.
0:23

Slash just crossed $150M ARR and the story behind it feels like something every entrepreneur has lived through in one way or another. Every business owner knows how unpredictable things get. You can be doing everything right, hitting your numbers, growing fast and one outside moment can flip your entire world. You’ll understand why this milestone hits different. Slash didn’t start as some perfectly planned business banking product. It began as a simple tool for young sneaker resellers. A small niche. A cool experiment. And then, one random moment, the entire market they were serving collapsed. Kanye West’s Yeezy sales tanked overnight and wiped out almost all their revenue. Most companies don’t recover from that kind of blow. But instead of packing up, the founders paid attention to the people who didn’t leave. They found a new group of users holding their platform like lifeline. eal operators running real businesses: • People moving money around the world • People managing multiple entities • People using stablecoins because banks shut them out • People who needed speed, not paperwork • People traditional banking has never built for That single insight rebuilt the company. And that’s how Slash went from “tool for sneaker kids” to “infrastructure for the modern entrepreneur.” Today, they power: • $5B+ in card spend • $1B+ in stablecoin payments • 3,000+ businesses • 4M+ virtual cards With features founders actually need: • Minutes to open accounts • Unlimited cards • Real control over spend • Multi-entity switching • Instant stablecoin payments • 2% cashback • Tools that match the way fast-growing teams work They didn’t arrive here the easy way. They didn’t arrive here with perfect timing. They didn’t arrive here with a smooth path and clean charts. They arrived here because they turned a near-death moment into a clear direction. And honestly, that’s why this $150M ARR milestone feels inspiring. It shows what can happen when you build for the people who rely on you the most. Huge shoutout to the Slash team. The pace is unreal, and more founders need to see what they’re doing. You can check them out here: And yes, I’m a proud Slash partner.

Iseunife The First

51,347 views • 9 months ago

In 2026, 90% of all Polymarket profits will be taken by Python scripts.. And this is not a prediction. It’s already happening. So if you think political pundits and sports gurus are making profits in these areas, let me be the bearer of bad news. Studies have revealed that merely “16% of users are profitable.” More importantly, “most of these users are not human.” How bots are exactly taking your money: Speed. One bot made $313 into $438K in a month. It’s a simple trick: the bot would look at the btc price a few seconds before the price update on Polymarket by checking the price on Binance. There’s no strategy or intelligence involved: simply beating the latency of the system. Risk-Free Arbitrage It looks for markets where "YES + NO" equals less than $1. "94 cents," for example. The bot buys both sides of the market and makes off with 6 cents guaranteed. This occurs thousands of times daily. Not gambling but math. Stream parsing. In esports, the script is faster than the blink of an eye when parsing the stream for games like Dota 2 and League of Legends. A team fight appears on the screen. The bot has already placed its bets on the winner using the old odds. What is meant by the turning point of 2026? Dynamic fees were introduced on Polymarket to get rid of simple bots. But what happened? The difficulty level on this marketplace simply increased. Today, it is not only fast scripts that win. Full-on AI robots have joined this game. They read news and respond to certain events within a millisecond. But here comes the painful part: barrier to entry is dirt cheap. Virtual private servers for $60 per month. Libraries written in Python waiting on GitHub. But here’s the thing: You don’t have to create a bot of your own. All you have to do is copy those which are already winning. PolyCop helps you to track the most profitable wallets and replicate their trades automatically. No code. No infrastructure. Just tap into the wallets that are already dominating. → Copy the winners: Humans deal on intuition and vibes. Bots play on numbers and network latency. In this game, "intuition" always loses against "code." You have two choices here. You could learn how to code or you could “copy” people who have done it before you
0:29

In 2026, 90% of all Polymarket profits will be taken by Python scripts.. And this is not a prediction. It’s already happening. So if you think political pundits and sports gurus are making profits in these areas, let me be the bearer of bad news. Studies have revealed that merely “16% of users are profitable.” More importantly, “most of these users are not human.” How bots are exactly taking your money: Speed. One bot made $313 into $438K in a month. It’s a simple trick: the bot would look at the btc price a few seconds before the price update on Polymarket by checking the price on Binance. There’s no strategy or intelligence involved: simply beating the latency of the system. Risk-Free Arbitrage It looks for markets where "YES + NO" equals less than $1. "94 cents," for example. The bot buys both sides of the market and makes off with 6 cents guaranteed. This occurs thousands of times daily. Not gambling but math. Stream parsing. In esports, the script is faster than the blink of an eye when parsing the stream for games like Dota 2 and League of Legends. A team fight appears on the screen. The bot has already placed its bets on the winner using the old odds. What is meant by the turning point of 2026? Dynamic fees were introduced on Polymarket to get rid of simple bots. But what happened? The difficulty level on this marketplace simply increased. Today, it is not only fast scripts that win. Full-on AI robots have joined this game. They read news and respond to certain events within a millisecond. But here comes the painful part: barrier to entry is dirt cheap. Virtual private servers for $60 per month. Libraries written in Python waiting on GitHub. But here’s the thing: You don’t have to create a bot of your own. All you have to do is copy those which are already winning. PolyCop helps you to track the most profitable wallets and replicate their trades automatically. No code. No infrastructure. Just tap into the wallets that are already dominating. → Copy the winners: Humans deal on intuition and vibes. Bots play on numbers and network latency. In this game, "intuition" always loses against "code." You have two choices here. You could learn how to code or you could “copy” people who have done it before you

Blaze

66,385 views • 7 months ago

Attention , Data and Capital rule WEB3! Kaito AI 🌊 has primed itself as the ultimate distribution center of this three! Here’s how you can make the most of KAITO,a long form post! This guide is my personal strategy to earning yaps and building long term mindshare, ignoring follower count! Let’s get into it: ⸻ What Even Is Yapping? Yapping is posting and engaging on Crypto Twitter in a way that’s: •Web3 relevant •Genuine and thoughtful •Not spammy or low effort •Seen and engaged by high reputation users Yaps are the points you earn from posts and replies, but how you earn them is what I wanna talk about now. How do you Earn Yaps? As I read from the Kaito FAQ, applied, and gotten results from, there are three things that determine how many yaps you earn and when; 1.Reputation weighted engagement: the most important one! 2.Web3 relevance: your posts MUST be relevant in Web3! 3.Insightful and original content: focus on quality over quantity! What does that actually mean? If you post a great crypto thread and no one with a good reputation in CT interacts, you likely get 0 yaps. If you post a viral meme that’s unrelated to crypto, same thing, you get 0 yaps. You need both quality and engagement from strong accounts in the Kaito inner circle. Here’s where the idea of Smart followers comes in, these are accounts with the “Inner Circle Badge” on Twitter. Their interactions on your posts or replies earn you yaps! It’s also important for you to understand Mindshare. Mindshare is simply how much conversation and attention you are able to generate around a specific project. Yaps = fuel. Mindshare = dominance. To build mindshare,: •Focus on 1 to 2 projects MAX. •Post about them 1 to 2 times daily. •Reply often to other Yappers posting about the same project •Engage directly with the project account and their team. •Watch who’s leading the mindshare leaderboard on the KAITO website and learn from their style and content. Note: Early engagement gives you a higher chance to earn more yaps. That’s why I focus on fresh or recently added projects with active or pending leaderboards. Here’s how Pick Projects to Yap About: If you know me, I’m never chasing short term hype, and I focus on long term projects. Here’s how I pick: •Projects I understand or am testing/using myself •Ones that reward Yappers in meaningful ways (roles, cash, recognition) Here are some I’m looking at right now (do your own research too!): •Monad •Lombard •burner •Kaito AI 🌊 •Succinct •Infinex (massive rewards) •Allora •Humanity •OpenLedger (hot competition) What your daily KAITO schedule should look like: 1 to 2 solid tweets per project •No low effort “gm” posts, be intentional about every single post or reply you make! •Focus on your thoughts, project features, new updates 2.Reply to official project tweets, engage on founder and team member’s accounts too! 3.Engage other Yappers talking about the same project,be a good reply guy. 4.Retweet the project’s major posts. 5.Use project specific images. 6.Keep your posts insightful and project relevant! Also, clean up your profile (your bio, banner and pinned tweet must reflect clearly that you’re active in Web3. First impressions matter when people are deciding whether to interact with your profile or not! -Some tips to grow faster as a small account on KAITO. •Subscribe to X Premium (seriously helps with visibility) •Check the Discord of the projects you support for updates. •Track Kaito’s market page to see hot Inner Circle accounts. •Engage with leaderboard users in a genuine way -What Projects should you Yap about? There are 40+ Pre TGE projects you can yap about right now under different sectors AI & Data •Allora •OpenLedger 🔥 •Camp Network •Hyperbolic . Listen to KAITO founder 👇
2:50

Attention , Data and Capital rule WEB3! Kaito AI 🌊 has primed itself as the ultimate distribution center of this three! Here’s how you can make the most of KAITO,a long form post! This guide is my personal strategy to earning yaps and building long term mindshare, ignoring follower count! Let’s get into it: ⸻ What Even Is Yapping? Yapping is posting and engaging on Crypto Twitter in a way that’s: •Web3 relevant •Genuine and thoughtful •Not spammy or low effort •Seen and engaged by high reputation users Yaps are the points you earn from posts and replies, but how you earn them is what I wanna talk about now. How do you Earn Yaps? As I read from the Kaito FAQ, applied, and gotten results from, there are three things that determine how many yaps you earn and when; 1.Reputation weighted engagement: the most important one! 2.Web3 relevance: your posts MUST be relevant in Web3! 3.Insightful and original content: focus on quality over quantity! What does that actually mean? If you post a great crypto thread and no one with a good reputation in CT interacts, you likely get 0 yaps. If you post a viral meme that’s unrelated to crypto, same thing, you get 0 yaps. You need both quality and engagement from strong accounts in the Kaito inner circle. Here’s where the idea of Smart followers comes in, these are accounts with the “Inner Circle Badge” on Twitter. Their interactions on your posts or replies earn you yaps! It’s also important for you to understand Mindshare. Mindshare is simply how much conversation and attention you are able to generate around a specific project. Yaps = fuel. Mindshare = dominance. To build mindshare,: •Focus on 1 to 2 projects MAX. •Post about them 1 to 2 times daily. •Reply often to other Yappers posting about the same project •Engage directly with the project account and their team. •Watch who’s leading the mindshare leaderboard on the KAITO website and learn from their style and content. Note: Early engagement gives you a higher chance to earn more yaps. That’s why I focus on fresh or recently added projects with active or pending leaderboards. Here’s how Pick Projects to Yap About: If you know me, I’m never chasing short term hype, and I focus on long term projects. Here’s how I pick: •Projects I understand or am testing/using myself •Ones that reward Yappers in meaningful ways (roles, cash, recognition) Here are some I’m looking at right now (do your own research too!): •Monad •Lombard •burner •Kaito AI 🌊 •Succinct •Infinex (massive rewards) •Allora •Humanity •OpenLedger (hot competition) What your daily KAITO schedule should look like: 1 to 2 solid tweets per project •No low effort “gm” posts, be intentional about every single post or reply you make! •Focus on your thoughts, project features, new updates 2.Reply to official project tweets, engage on founder and team member’s accounts too! 3.Engage other Yappers talking about the same project,be a good reply guy. 4.Retweet the project’s major posts. 5.Use project specific images. 6.Keep your posts insightful and project relevant! Also, clean up your profile (your bio, banner and pinned tweet must reflect clearly that you’re active in Web3. First impressions matter when people are deciding whether to interact with your profile or not! -Some tips to grow faster as a small account on KAITO. •Subscribe to X Premium (seriously helps with visibility) •Check the Discord of the projects you support for updates. •Track Kaito’s market page to see hot Inner Circle accounts. •Engage with leaderboard users in a genuine way -What Projects should you Yap about? There are 40+ Pre TGE projects you can yap about right now under different sectors AI & Data •Allora •OpenLedger 🔥 •Camp Network •Hyperbolic . Listen to KAITO founder 👇

DUKE 🇲🇾

92,426 views • 1 year ago

10 free github repos that can replace major SaaS with subscriptions. all free. open-sourced. some are MIT licensed. — 1️⃣ openscreen — replaces screen studio ($29/mo) - a clean macOS/windows/linux screen recorder for polished demos. - blur, cursor highlighting, annotations, export to mp4 or gif at any aspect ratio. - doesn't try to clone every feature, just nails the basics for quick walkthroughs you'd post on X. — 2️⃣ voicebox — replaces elevenlabs ($22/mo) + wisprflow ($15/mo) - local-first AI voice studio. - clone voices from 3 seconds of audio, generate speech across 7 TTS engines in 23 languages, - dictate into any text field with a global hotkey. - nothing leaves your machine. - runs on apple silicon, cuda, rocm. — 3️⃣ openshorts — replaces opus clip ($19/mo) + submagic ($16/mo) - free AI video platform. - clip generator turns long youtube videos into 9:16 shorts with auto-subtitles and face tracking (runs on free gemini + elevenlabs tiers). - also includes AI UGC video generation with actors — that part is pay-per-use via fal. ai (~$0.65-2 per video). docker self-host. — 4️⃣ freellmapi — replaces chatgpt pro + claude pro ($20/mo each) - stacks 14 free AI provider tiers (google, groq, cerebras, openrouter, github models + 9 more) behind one openai-compatible endpoint. ~800M tokens/month. - smart router with failover, sticky sessions, encrypted key storage. ships with a dashboard. — 5️⃣ playwright-mcp — replaces browserbase ($39/mo) + browser use ($25/mo) - microsoft's official MCP server that gives any AI agent full browser control. - uses accessibility trees, not screenshots — deterministic and token-efficient. - works with claude code, cursor, windsurf, codex out of the box. — 6️⃣ vibe-trading — replaces tradingview premium ($60/mo) - natural-language finance research agent. - 7 backtest engines across stocks, crypto, futures, forex. - 75 specialist skills (factor analysis, options strategy, ML strategy). - 29 multi-agent swarm presets. - 21 of 22 MCP tools work with zero API keys. — 7️⃣ CalCom — replaces calendly ($12/mo) + savvycal ($12/mo) - the open-source scheduling infrastructure. - one-on-ones, group events, round-robin, team booking, - payment collection (stripe), routing forms, workflows. - integrates with google/outlook/apple calendar, zoom, meet, teams. - self-host in 10 minutes with docker. 40k stars. — 8️⃣ whisper — replaces otter ($17/mo) - openAI's open-source speech-to-text model. - transcribe audio in 99 languages, translate to english, generate timestamps. - runs locally on cpu or gpu. - the actual model behind most "AI transcription" SaaS tools you're paying for. — 9️⃣ postiz — replaces buffer ($15/mo) - AI-powered social media scheduler. - cross-post to X, linkedin, instagram, tiktok, threads, bluesky, mastodon, youtube, pinterest. - AI captions and hashtags. - analytics dashboard. team workspaces. 31k stars and rising. — 🔟 vaultwarden — replaces 1password ($8/mo) - unofficial bitwarden-compatible server written in rust. - works with every official bitwarden client (mobile, desktop, browser). - unlimited users, unlimited vaults, full enterprise feature set. - runs on a $5 VPS or your home server. — disclaimer: open-source ≠ 1:1 replacement. you'll trade polish for ownership, hand-holding for control, and a credit card for a github version. for builders, prototypers, and indie hackers — that's the whole point. for everyone else, the paid tools still have their place. bookmark this. share with one friend bleeding subscription fees. ~m0h
0:31

10 free github repos that can replace major SaaS with subscriptions. all free. open-sourced. some are MIT licensed. — 1️⃣ openscreen — replaces screen studio ($29/mo) - a clean macOS/windows/linux screen recorder for polished demos. - blur, cursor highlighting, annotations, export to mp4 or gif at any aspect ratio. - doesn't try to clone every feature, just nails the basics for quick walkthroughs you'd post on X. — 2️⃣ voicebox — replaces elevenlabs ($22/mo) + wisprflow ($15/mo) - local-first AI voice studio. - clone voices from 3 seconds of audio, generate speech across 7 TTS engines in 23 languages, - dictate into any text field with a global hotkey. - nothing leaves your machine. - runs on apple silicon, cuda, rocm. — 3️⃣ openshorts — replaces opus clip ($19/mo) + submagic ($16/mo) - free AI video platform. - clip generator turns long youtube videos into 9:16 shorts with auto-subtitles and face tracking (runs on free gemini + elevenlabs tiers). - also includes AI UGC video generation with actors — that part is pay-per-use via fal. ai (~$0.65-2 per video). docker self-host. — 4️⃣ freellmapi — replaces chatgpt pro + claude pro ($20/mo each) - stacks 14 free AI provider tiers (google, groq, cerebras, openrouter, github models + 9 more) behind one openai-compatible endpoint. ~800M tokens/month. - smart router with failover, sticky sessions, encrypted key storage. ships with a dashboard. — 5️⃣ playwright-mcp — replaces browserbase ($39/mo) + browser use ($25/mo) - microsoft's official MCP server that gives any AI agent full browser control. - uses accessibility trees, not screenshots — deterministic and token-efficient. - works with claude code, cursor, windsurf, codex out of the box. — 6️⃣ vibe-trading — replaces tradingview premium ($60/mo) - natural-language finance research agent. - 7 backtest engines across stocks, crypto, futures, forex. - 75 specialist skills (factor analysis, options strategy, ML strategy). - 29 multi-agent swarm presets. - 21 of 22 MCP tools work with zero API keys. — 7️⃣ CalCom — replaces calendly ($12/mo) + savvycal ($12/mo) - the open-source scheduling infrastructure. - one-on-ones, group events, round-robin, team booking, - payment collection (stripe), routing forms, workflows. - integrates with google/outlook/apple calendar, zoom, meet, teams. - self-host in 10 minutes with docker. 40k stars. — 8️⃣ whisper — replaces otter ($17/mo) - openAI's open-source speech-to-text model. - transcribe audio in 99 languages, translate to english, generate timestamps. - runs locally on cpu or gpu. - the actual model behind most "AI transcription" SaaS tools you're paying for. — 9️⃣ postiz — replaces buffer ($15/mo) - AI-powered social media scheduler. - cross-post to X, linkedin, instagram, tiktok, threads, bluesky, mastodon, youtube, pinterest. - AI captions and hashtags. - analytics dashboard. team workspaces. 31k stars and rising. — 🔟 vaultwarden — replaces 1password ($8/mo) - unofficial bitwarden-compatible server written in rust. - works with every official bitwarden client (mobile, desktop, browser). - unlimited users, unlimited vaults, full enterprise feature set. - runs on a $5 VPS or your home server. — disclaimer: open-source ≠ 1:1 replacement. you'll trade polish for ownership, hand-holding for control, and a credit card for a github version. for builders, prototypers, and indie hackers — that's the whole point. for everyone else, the paid tools still have their place. bookmark this. share with one friend bleeding subscription fees. ~m0h

m0h

247,857 views • 3 months ago

🎉 Tailkit 4.0 is here, and I couldn't be more excited! 🙌🥳 But first - Giveaway Alert! Want to get a free Tailkit Developer license? Just drop a reply and give a like or repost (totally optional, but super appreciated). The lucky winner will be announced next Tuesday (October 8th) – good luck! Can you believe it’s already been 4 years since Tailkit’s journey started? ❤️ It feels like just yesterday I launched Tailkit 1.0 as an offline standalone web app back on October 1st, 2020. I'm really attached to this project because it was launched just a few days before I became a dad 👶😍 Fast forward to today, and Tailkit has grown into a fully customizable, feature-packed online app that gives you access to: - 550+ Tailwind CSS components (fully responsive + dark mode support) - 1,750+ Code snippets for HTML, React, Vue.js, and Alpine.js - 7 Marketing & Application Templates for HTML, React, Vue.js, and Laravel (fully responsive + dark mode support) - 10 Starter Kits for HTML, HTML with Vite, React, Vue.js, Laravel, Next.js, Nuxt, Astro, Svelte and Angular - 30 Days of Unlimited Design Service with every new Team license - Exclusive deals on third-party tools and projects - Handy helper tools like Button Builder, Color Palette, and Icon Finder - 3,700+ SVG Icons from Bootstrap and Heroicons - Free lifetime updates - Email support whenever you need it And the 4.0 update is packed with even more awesome features and upgrades: - 6 new UI components (Notifications) were added in Application UI package - 20 new UI components (Image/Content Sliders++) were added in Marketing package - React version (uses Vite) is introduced for all Templates - React code snippets were improved in all packages - Astro Starter Kit was added - Remove Dark Classes (from code snippets) option was added in App - Universal Dark Mode (preview pane can default to global dark mode) option was added in App - New preview colors (fuchsia, gray) were added in App - Heroicons v2 icons were updated to v2.1.5 adding 28+ brand new icons in App - 3 new exclusive deals are now available - UI design improvements in App - Various improvements and fixes in App - All dependencies were updated in Starter Kits - All dependencies were updated in Templates - Marketing website redesigned - Color Palette tool was made available to all I’ve put over 200 hours into this update alone, and I’m beyond excited to finally share it with you. Your continued support has made this journey possible, and I’m so grateful to have you along for the ride. 🙏 Wishing you an amazing day – remember, YOU ARE AWESOME! Go build something incredible! 🚀
1:17

🎉 Tailkit 4.0 is here, and I couldn't be more excited! 🙌🥳 But first - Giveaway Alert! Want to get a free Tailkit Developer license? Just drop a reply and give a like or repost (totally optional, but super appreciated). The lucky winner will be announced next Tuesday (October 8th) – good luck! Can you believe it’s already been 4 years since Tailkit’s journey started? ❤️ It feels like just yesterday I launched Tailkit 1.0 as an offline standalone web app back on October 1st, 2020. I'm really attached to this project because it was launched just a few days before I became a dad 👶😍 Fast forward to today, and Tailkit has grown into a fully customizable, feature-packed online app that gives you access to: - 550+ Tailwind CSS components (fully responsive + dark mode support) - 1,750+ Code snippets for HTML, React, Vue.js, and Alpine.js - 7 Marketing & Application Templates for HTML, React, Vue.js, and Laravel (fully responsive + dark mode support) - 10 Starter Kits for HTML, HTML with Vite, React, Vue.js, Laravel, Next.js, Nuxt, Astro, Svelte and Angular - 30 Days of Unlimited Design Service with every new Team license - Exclusive deals on third-party tools and projects - Handy helper tools like Button Builder, Color Palette, and Icon Finder - 3,700+ SVG Icons from Bootstrap and Heroicons - Free lifetime updates - Email support whenever you need it And the 4.0 update is packed with even more awesome features and upgrades: - 6 new UI components (Notifications) were added in Application UI package - 20 new UI components (Image/Content Sliders++) were added in Marketing package - React version (uses Vite) is introduced for all Templates - React code snippets were improved in all packages - Astro Starter Kit was added - Remove Dark Classes (from code snippets) option was added in App - Universal Dark Mode (preview pane can default to global dark mode) option was added in App - New preview colors (fuchsia, gray) were added in App - Heroicons v2 icons were updated to v2.1.5 adding 28+ brand new icons in App - 3 new exclusive deals are now available - UI design improvements in App - Various improvements and fixes in App - All dependencies were updated in Starter Kits - All dependencies were updated in Templates - Marketing website redesigned - Color Palette tool was made available to all I’ve put over 200 hours into this update alone, and I’m beyond excited to finally share it with you. Your continued support has made this journey possible, and I’m so grateful to have you along for the ride. 🙏 Wishing you an amazing day – remember, YOU ARE AWESOME! Go build something incredible! 🚀

John Champ

10,940 views • 1 year ago

Chamath Palihapitiya on the growth principles that got Facebook to billions of users “The most important thing we did was I teased out virality, and said, ‘You cannot do it. Don’t talk about it. Don’t touch it. I don’t want you to give me any product plans that revolve around this idea of virality. I don’t want to hear it.” Instead, Chamath urged the growth team at Facebook to focus on “the three most difficult and hard problems that any consumer product has to deal with”: How do you get people in the front door? How do you get them to an aha moment as quickly as possible? How do you deliver core product value as often as possible? Chamath warns that focusing on virality is why you see so many startups experience this amazingly steep rise and then fall off a cliff. The second thing he set out to do at Facebook was invalidate all of the lore: “In any given product, there’s always people who strut out around the office like, ‘I have this gut feeling.’ It’s all about gut feeling. And most people’s gut feelings are morons. They don’t know what they’re talking about. Gut feel is not useful because most people can’t predict correctly. We know this. So one of the most important things that we did was just invalidate all of the lore… You can’t believe your own BS. Because when you do, you start to compound these massively structural mistakes that don’t expose core product value… You don’t listen to customers because you think it’s all about your gut. You don’t bother doing any of the traditional, straightforward, obvious things, and you lose yourself.” As Chamath explains, a maniacal focus on delivering core product value as frequently and fast as possible is what led Facebook to its most important realization: “The single biggest thing we realized was to get any individual to 7 friends in 10 days. That was it… There was not much more complexity than that. There’s an entire team now of hundreds of people that have helped ramp this product to a billion users, based on that one simple rule — a very elegant statement of what it was to capture core product value… And then what we did at the company was talk about nothing else. Every Q&A. Every all-hands… It was the single, sole focus.” He continues: “You have to work backwards from: What is the thing that people are here to do? What is the ‘aha moment’ that they want? Why can I not give that to them as fast as possible? That’s how you win.” Chamath recommends starting with a cohort of your most engaged users — What features are they using? What pathways in your product did they take? Then work backwards and try to get all of your other users to that same state. Source: Gagan Biyani 🏛 (Jan 2013)
5:17

Chamath Palihapitiya on the growth principles that got Facebook to billions of users “The most important thing we did was I teased out virality, and said, ‘You cannot do it. Don’t talk about it. Don’t touch it. I don’t want you to give me any product plans that revolve around this idea of virality. I don’t want to hear it.” Instead, Chamath urged the growth team at Facebook to focus on “the three most difficult and hard problems that any consumer product has to deal with”: How do you get people in the front door? How do you get them to an aha moment as quickly as possible? How do you deliver core product value as often as possible? Chamath warns that focusing on virality is why you see so many startups experience this amazingly steep rise and then fall off a cliff. The second thing he set out to do at Facebook was invalidate all of the lore: “In any given product, there’s always people who strut out around the office like, ‘I have this gut feeling.’ It’s all about gut feeling. And most people’s gut feelings are morons. They don’t know what they’re talking about. Gut feel is not useful because most people can’t predict correctly. We know this. So one of the most important things that we did was just invalidate all of the lore… You can’t believe your own BS. Because when you do, you start to compound these massively structural mistakes that don’t expose core product value… You don’t listen to customers because you think it’s all about your gut. You don’t bother doing any of the traditional, straightforward, obvious things, and you lose yourself.” As Chamath explains, a maniacal focus on delivering core product value as frequently and fast as possible is what led Facebook to its most important realization: “The single biggest thing we realized was to get any individual to 7 friends in 10 days. That was it… There was not much more complexity than that. There’s an entire team now of hundreds of people that have helped ramp this product to a billion users, based on that one simple rule — a very elegant statement of what it was to capture core product value… And then what we did at the company was talk about nothing else. Every Q&A. Every all-hands… It was the single, sole focus.” He continues: “You have to work backwards from: What is the thing that people are here to do? What is the ‘aha moment’ that they want? Why can I not give that to them as fast as possible? That’s how you win.” Chamath recommends starting with a cohort of your most engaged users — What features are they using? What pathways in your product did they take? Then work backwards and try to get all of your other users to that same state. Source: Gagan Biyani 🏛 (Jan 2013)

Startup Archive

31,680 views • 1 month ago

Chamath Palihapitiya on the growth principles that got Facebook to billions of users “The most important thing we did was I teased out virality, and said, ‘You cannot do it. Don’t talk about it. Don’t touch it. I don’t want you to give me any product plans that revolve around this idea of virality. I don’t want to hear it.” Instead, Chamath urged the growth team at Facebook to focus on “the three most difficult and hard problems that any consumer product has to deal with”: 1. How do you get people in the front door? 2. How do you get them to an aha moment as quickly as possible? 3. How do you deliver core product value as often as possible? Chamath warns that focusing on virality is why you see so many startups experience this amazingly steep rise and then fall off a cliff. The second thing he set out to do at Facebook was invalidate all of the lore: “In any given product, there’s always people who strut out around the office like, ‘I have this gut feeling.’ It’s all about gut feeling. And most people’s gut feelings are morons. They don’t know what they’re talking about. Gut feel is not useful because most people can’t predict correctly. We know this. So one of the most important things that we did was just invalidate all of the lore… You can’t believe your own BS. Because when you do, you start to compound these massively structural mistakes that don’t expose core product value… You don’t listen to customers because you think it’s all about your gut. You don’t bother doing any of the traditional, straightforward, obvious things, and you lose yourself.” As Chamath explains, a maniacal focus on delivering core product value as frequently and fast as possible is what led Facebook to its most important realization: “The single biggest thing we realized was to get any individual to 7 friends in 10 days. That was it… There was not much more complexity than that. There’s an entire team now of hundreds of people that have helped ramp this product to a billion users, based on that one simple rule — a very elegant statement of what it was to capture core product value… And then what we did at the company was talk about nothing else. Every Q&A. Every all-hands… It was the single, sole focus.” He continues: “You have to work backwards from: What is the thing that people are here to do? What is the ‘aha moment’ that they want? Why can I not give that to them as fast as possible? That’s how you win.” Chamath recommends starting with a cohort of your most engaged users — What features are they using? What pathways in your product did they take? Then work backwards and try to get all of your other users to that same state.
5:17

Chamath Palihapitiya on the growth principles that got Facebook to billions of users “The most important thing we did was I teased out virality, and said, ‘You cannot do it. Don’t talk about it. Don’t touch it. I don’t want you to give me any product plans that revolve around this idea of virality. I don’t want to hear it.” Instead, Chamath urged the growth team at Facebook to focus on “the three most difficult and hard problems that any consumer product has to deal with”: 1. How do you get people in the front door? 2. How do you get them to an aha moment as quickly as possible? 3. How do you deliver core product value as often as possible? Chamath warns that focusing on virality is why you see so many startups experience this amazingly steep rise and then fall off a cliff. The second thing he set out to do at Facebook was invalidate all of the lore: “In any given product, there’s always people who strut out around the office like, ‘I have this gut feeling.’ It’s all about gut feeling. And most people’s gut feelings are morons. They don’t know what they’re talking about. Gut feel is not useful because most people can’t predict correctly. We know this. So one of the most important things that we did was just invalidate all of the lore… You can’t believe your own BS. Because when you do, you start to compound these massively structural mistakes that don’t expose core product value… You don’t listen to customers because you think it’s all about your gut. You don’t bother doing any of the traditional, straightforward, obvious things, and you lose yourself.” As Chamath explains, a maniacal focus on delivering core product value as frequently and fast as possible is what led Facebook to its most important realization: “The single biggest thing we realized was to get any individual to 7 friends in 10 days. That was it… There was not much more complexity than that. There’s an entire team now of hundreds of people that have helped ramp this product to a billion users, based on that one simple rule — a very elegant statement of what it was to capture core product value… And then what we did at the company was talk about nothing else. Every Q&A. Every all-hands… It was the single, sole focus.” He continues: “You have to work backwards from: What is the thing that people are here to do? What is the ‘aha moment’ that they want? Why can I not give that to them as fast as possible? That’s how you win.” Chamath recommends starting with a cohort of your most engaged users — What features are they using? What pathways in your product did they take? Then work backwards and try to get all of your other users to that same state.

Startup Archive

156,392 views • 8 months ago

Fast Company just published a great piece on World Labs , Fei-Fei Li , Marble, and the idea that spatial intelligence / world models may be one of the next big shifts in AI. I was happy to be quoted in the article, but I also wanted to share more context about my own experience with World Labs and Marble, and why this direction is especially interesting to me. My starting point: volumetric capture — For the past few years I’ve been exploring and using volumetric capture and reconstruction (photogrammetry, NeRFs, 3D Gaussian Splats) mostly capturing locations around Montreal. Alleys, museums, urban interiors. I love every step of it: the capture itself, the pipeline, and what can be done with the output. Turning real spaces into real-time explorable systems. I do this personally, sharing explorations here, and professionally as chief technologist, and co-founder of Dpt. Physical reality + generative manipulation — In my work I’m especially drawn to mixing physical reality with generative and digital manipulation: using physical interfaces (light, clay, ink, ... ) to drive generative AI pipelines, building mixed reality prototypes that reshape your surroundings, or starting from real captured spaces and transforming them using tools like Marble. Like many people, I saw the World Labs announcement on Twitter in September 2024, and Marble when it surfaced in early December. But by then, I already had a sense something was coming. The first conversation — As someone deep into volumetric capture and radiance fields, I obviously knew about Ben Mildenhall and his pioneering work on NeRF. To my surprise, Ben reached out to me in late June 2024. He’d been following some of my experiments and wanted to chat about my process and workflows and how I was using this “stuff” creatively. At that point he didn’t share what he was building, but we had a genuinely great conversation about radiance fields, AI, and my work. He was curious about the creative perspective, not just the technical one. When the World Labs announcement dropped a few months later, it all made sense. I understood what Ben had been working on, and why the creative angle mattered to them. Then in August 2025, he invited me to try the Marble beta, and I’ve been experimenting with it since. Experimenting with Marble — The first thing I used Marble for was materializing scene and world concepts during ideation at the studio, and seeing if and how it could fit into our production pipeline. In parallel, I dove into a series of experiments focused on world manipulation: starting from real captured spaces and transforming them using Marble. I’d already been exploring that idea using img2img diffusion with ControlNet on NeRF renders, real-time video streams, and even mixed reality using headset camera feeds. But Marble brings something different. It generates persistent, spatially cohesive 3D worlds that can be rendered in real time across a wide range of devices. That’s a real shift. Experiment 01: Parallel Realities — The first experiment, Parallel Realities, starts from a volumetric capture of a real location, reconstructed as 3D Gaussian Splats. Using Marble, I generate an alternate version of that same space, something informed by the original architecture: abandoned, nature-reclaimed, alternate era. Then, using Spark (World Labs’ 3D Gaussian Splatting renderer for THREE.js) I make both realities coexist in the same spatial coordinate system. From there, I use a portal UX mechanic to let the user step between the real reconstruction and the Marble-generated version. Experiment 02: Hidden Depth The second experiment, Hidden Depth, does not transform a space as much as expand it. A captured location has a visual boundary (a mural, a doorway, a dark corridor) and Marble generates what exists beyond it. For example: a Montreal alley has a painted mural; step through it and you’re inside a world informed by what is actually depicted there. World Labs showcased part of this work here: And in their Spark 2.0 post: The project page is here: Why this matters to me — Being able to start from a real 3D Gaussian Splat scene and manipulate it with Marble opens up a lot of ideas. The 3DGS pipeline is becoming an increasingly compelling foundation for exploration, experimentation, and storytelling. What matters most to me right now is more control. The more I can steer the generated scene or world, the more useful the tool becomes. I want more features like the already existing multiple input images and Chisel, the blockout-based approach. I would like better local control, the ability to expand a generated world more and more while preserving coherence, and the ability to directly import 3D Gaussian Splat scenes to be used as a starting point. I want more ways to shape the result, not just a “prompt and hope” approach. — It is exciting to see this field moving from research and demos toward actual creative workflows.
1:04

Fast Company just published a great piece on World Labs , Fei-Fei Li , Marble, and the idea that spatial intelligence / world models may be one of the next big shifts in AI. I was happy to be quoted in the article, but I also wanted to share more context about my own experience with World Labs and Marble, and why this direction is especially interesting to me. My starting point: volumetric capture — For the past few years I’ve been exploring and using volumetric capture and reconstruction (photogrammetry, NeRFs, 3D Gaussian Splats) mostly capturing locations around Montreal. Alleys, museums, urban interiors. I love every step of it: the capture itself, the pipeline, and what can be done with the output. Turning real spaces into real-time explorable systems. I do this personally, sharing explorations here, and professionally as chief technologist, and co-founder of Dpt. Physical reality + generative manipulation — In my work I’m especially drawn to mixing physical reality with generative and digital manipulation: using physical interfaces (light, clay, ink, ... ) to drive generative AI pipelines, building mixed reality prototypes that reshape your surroundings, or starting from real captured spaces and transforming them using tools like Marble. Like many people, I saw the World Labs announcement on Twitter in September 2024, and Marble when it surfaced in early December. But by then, I already had a sense something was coming. The first conversation — As someone deep into volumetric capture and radiance fields, I obviously knew about Ben Mildenhall and his pioneering work on NeRF. To my surprise, Ben reached out to me in late June 2024. He’d been following some of my experiments and wanted to chat about my process and workflows and how I was using this “stuff” creatively. At that point he didn’t share what he was building, but we had a genuinely great conversation about radiance fields, AI, and my work. He was curious about the creative perspective, not just the technical one. When the World Labs announcement dropped a few months later, it all made sense. I understood what Ben had been working on, and why the creative angle mattered to them. Then in August 2025, he invited me to try the Marble beta, and I’ve been experimenting with it since. Experimenting with Marble — The first thing I used Marble for was materializing scene and world concepts during ideation at the studio, and seeing if and how it could fit into our production pipeline. In parallel, I dove into a series of experiments focused on world manipulation: starting from real captured spaces and transforming them using Marble. I’d already been exploring that idea using img2img diffusion with ControlNet on NeRF renders, real-time video streams, and even mixed reality using headset camera feeds. But Marble brings something different. It generates persistent, spatially cohesive 3D worlds that can be rendered in real time across a wide range of devices. That’s a real shift. Experiment 01: Parallel Realities — The first experiment, Parallel Realities, starts from a volumetric capture of a real location, reconstructed as 3D Gaussian Splats. Using Marble, I generate an alternate version of that same space, something informed by the original architecture: abandoned, nature-reclaimed, alternate era. Then, using Spark (World Labs’ 3D Gaussian Splatting renderer for THREE.js) I make both realities coexist in the same spatial coordinate system. From there, I use a portal UX mechanic to let the user step between the real reconstruction and the Marble-generated version. Experiment 02: Hidden Depth The second experiment, Hidden Depth, does not transform a space as much as expand it. A captured location has a visual boundary (a mural, a doorway, a dark corridor) and Marble generates what exists beyond it. For example: a Montreal alley has a painted mural; step through it and you’re inside a world informed by what is actually depicted there. World Labs showcased part of this work here: And in their Spark 2.0 post: The project page is here: Why this matters to me — Being able to start from a real 3D Gaussian Splat scene and manipulate it with Marble opens up a lot of ideas. The 3DGS pipeline is becoming an increasingly compelling foundation for exploration, experimentation, and storytelling. What matters most to me right now is more control. The more I can steer the generated scene or world, the more useful the tool becomes. I want more features like the already existing multiple input images and Chisel, the blockout-based approach. I would like better local control, the ability to expand a generated world more and more while preserving coherence, and the ability to directly import 3D Gaussian Splat scenes to be used as a starting point. I want more ways to shape the result, not just a “prompt and hope” approach. — It is exciting to see this field moving from research and demos toward actual creative workflows.

Hugues Bruyère

69,960 views • 2 months ago

How to Build a Proper Product Page It breaks my heart every time I see someone from Brazil, making just $200 a month, spend $40 on a test ad only to get a $2 CPC. Then, they cut the ad at $35 spend with 17 clicks and 0 conversions. What’s even more frustrating is when I visit their site and see it’s a complete mess. It’s like they didn’t even try. That’s why I’m making this post. *Disclaimer: If you're building a brand, this isn’t for you. This is for testing products correctly with a website that’s good enough to convert, but if you’re serious about your brand, hire a Figma designer and a developer to get things done right. As a fun fact, I tested the following product myself (In the video below) and with just one click at a $3 CPC, I got a sale with an $80 AOV (100% CVR). I paused the ads because the CPMs hit $150. If you're interested, save this product for the future. I'll share the creatives i used to ran the product with those who comment below. "jordan, stop teaching high school kids about selling reps and getting them sued by Prada or other big brands, ruining their payment gateways, and crushing their dreams." (with 5 random people only will do it, wouldn't make sense for everyone to be ripping it). Shoutout to Adrian for this one. 🫡 Back to the important stuff: Let’s talk about creating a great product page. First off, ditch the “Buy Now” button. By using this, you miss out on the chance to increase your Average Order Value (AOV) through upsells during checkout. Instead, replace it with an “Add to Cart” button. Also, remove the quantity selector. Hardly anyone uses them on the product page, but they do in the cart. Instead, offer bundles, which you can set up using the Kaching Bundles app or your theme if it supports this feature. The cart experience is crucial, and you can optimize it using the UpCart app. Enable all its product page features so it takes over the standard Shopify cart or your theme’s cart. The built-in cart systems are outdated—they don’t allow upsells like UpCart does. Plus, UpCart directly opens the cart after a product is added, where the upsell option appears at the bottom, increasing your chances of boosting AOV. Pay attention to color schemes. Don’t use neutral colors for headers and buttons if your product features a primary color. A yellow jacket with a black header is like pizza with raspberry syrup—just doesn’t work. If your product images are gray, white, or black, match those with your headers and buttons. Otherwise, play around with colors to give your page some dynamic appeal. Bookmark this site to get color palettes that match your primary color. For exact color matches, download the "ColorZilla" extension, which gives you the exact color code of whatever is under your mouse on the screen. If your product color is #6E402A, you’ll know it and can match it perfectly with your header and buttons, creating a visually appealing contrast like Cider did here below. Right now, when some of you send me these websites, they look like government pages from the early 2000s. Next, consider the typography and button styles. For fonts, use Helvetica Regular for body text and Helvetica Bold for titles, both at a minimum size of 100%. It’s simple and effective. As for buttons, they should have a corner radius of 8px. To change these settings, go to the theme settings - typography/buttons and adjust the buttons and typography accordingly. Rounded buttons create a modern, inviting feel, while full square buttons can give off an outdated vibe. Even casinos in Vegas design their buildings with curves, ensuring that visitors always have a view angle that draws them back in—it’s all about keeping things appealing and engaging. Finally, the product page layout itself should be clean and concise. Use collapsible rows for your product descriptions. No one wants to read a novel, so keep it compact and focused. Images and videos are what sell—this is why we don’t use text-heavy images in our ads; they just bore people. Keep the description short, with enough information to inform but not overwhelm. If you need to include more features, put them in the FAQs section—that’s what they’re for. The goal is to make sure that the "Add to Cart" button is visible as soon as possible once the customer lands on the product page, without overwhelming them but providing just enough information—some key benefits, high-quality images, and buying options in the bundles. Once they hit the cart, the upsells will do their job. Remember, the three essential apps for setting this up are Loox Reviews for customer feedback (use the product widget reviews at the bottom of the page before the FAQs and the rating widget just above the title), Kaching Bundles for offering package deals, and UpCart for optimizing the cart experience. Just for the record, this is to help newcomers and guide them to something taht works, me personally i don't use free themes, but this one i created could convert easily if the product, offer and ads match well. Good luck and keep testing! 🗳🥂💸🤑
0:23

How to Build a Proper Product Page It breaks my heart every time I see someone from Brazil, making just $200 a month, spend $40 on a test ad only to get a $2 CPC. Then, they cut the ad at $35 spend with 17 clicks and 0 conversions. What’s even more frustrating is when I visit their site and see it’s a complete mess. It’s like they didn’t even try. That’s why I’m making this post. *Disclaimer: If you're building a brand, this isn’t for you. This is for testing products correctly with a website that’s good enough to convert, but if you’re serious about your brand, hire a Figma designer and a developer to get things done right. As a fun fact, I tested the following product myself (In the video below) and with just one click at a $3 CPC, I got a sale with an $80 AOV (100% CVR). I paused the ads because the CPMs hit $150. If you're interested, save this product for the future. I'll share the creatives i used to ran the product with those who comment below. "jordan, stop teaching high school kids about selling reps and getting them sued by Prada or other big brands, ruining their payment gateways, and crushing their dreams." (with 5 random people only will do it, wouldn't make sense for everyone to be ripping it). Shoutout to Adrian for this one. 🫡 Back to the important stuff: Let’s talk about creating a great product page. First off, ditch the “Buy Now” button. By using this, you miss out on the chance to increase your Average Order Value (AOV) through upsells during checkout. Instead, replace it with an “Add to Cart” button. Also, remove the quantity selector. Hardly anyone uses them on the product page, but they do in the cart. Instead, offer bundles, which you can set up using the Kaching Bundles app or your theme if it supports this feature. The cart experience is crucial, and you can optimize it using the UpCart app. Enable all its product page features so it takes over the standard Shopify cart or your theme’s cart. The built-in cart systems are outdated—they don’t allow upsells like UpCart does. Plus, UpCart directly opens the cart after a product is added, where the upsell option appears at the bottom, increasing your chances of boosting AOV. Pay attention to color schemes. Don’t use neutral colors for headers and buttons if your product features a primary color. A yellow jacket with a black header is like pizza with raspberry syrup—just doesn’t work. If your product images are gray, white, or black, match those with your headers and buttons. Otherwise, play around with colors to give your page some dynamic appeal. Bookmark this site to get color palettes that match your primary color. For exact color matches, download the "ColorZilla" extension, which gives you the exact color code of whatever is under your mouse on the screen. If your product color is #6E402A, you’ll know it and can match it perfectly with your header and buttons, creating a visually appealing contrast like Cider did here below. Right now, when some of you send me these websites, they look like government pages from the early 2000s. Next, consider the typography and button styles. For fonts, use Helvetica Regular for body text and Helvetica Bold for titles, both at a minimum size of 100%. It’s simple and effective. As for buttons, they should have a corner radius of 8px. To change these settings, go to the theme settings - typography/buttons and adjust the buttons and typography accordingly. Rounded buttons create a modern, inviting feel, while full square buttons can give off an outdated vibe. Even casinos in Vegas design their buildings with curves, ensuring that visitors always have a view angle that draws them back in—it’s all about keeping things appealing and engaging. Finally, the product page layout itself should be clean and concise. Use collapsible rows for your product descriptions. No one wants to read a novel, so keep it compact and focused. Images and videos are what sell—this is why we don’t use text-heavy images in our ads; they just bore people. Keep the description short, with enough information to inform but not overwhelm. If you need to include more features, put them in the FAQs section—that’s what they’re for. The goal is to make sure that the "Add to Cart" button is visible as soon as possible once the customer lands on the product page, without overwhelming them but providing just enough information—some key benefits, high-quality images, and buying options in the bundles. Once they hit the cart, the upsells will do their job. Remember, the three essential apps for setting this up are Loox Reviews for customer feedback (use the product widget reviews at the bottom of the page before the FAQs and the rating widget just above the title), Kaching Bundles for offering package deals, and UpCart for optimizing the cart experience. Just for the record, this is to help newcomers and guide them to something taht works, me personally i don't use free themes, but this one i created could convert easily if the product, offer and ads match well. Good luck and keep testing! 🗳🥂💸🤑

Zzzz

42,318 views • 2 years ago

I Cracked Polymarket Using Claude Opus 4.6: The 96,000 Dollar Script For 5 Minute High Leverage Windows most traders are currently sitting at their desks fighting a losing battle against a digital wall because they do not realize the house always wins against human emotion. while the crowd is busy chasing the next meme coin or getting washed out in a single wick an automated agent just pulled nearly a hundred thousand dollars out of thin air using nothing but raw logic. i have seen people blow their life savings in these five minute windows because they treated a high leverage prediction market like a playground instead of a laboratory i am moon dev and i believe that code is the great equalizer because through losing money with liquidations and over trading i knew i had to automate my trading. in the past i spent hundreds of thousands on devs for apps thinking i would not be able to code myself which was a massive waste of my time and resources. with bots you must iterate to success so i decided to learn live on youtube and now we are here with fully automated systems trading for me instead of getting liquidated by the market the five minute markets on polymarket are essentially a high speed game of musical chairs where the person left standing is usually the one with the fastest script. leverage makes these markets extremely dangerous because it amplifies every mistake you make until your account is completely empty. the only way to survive this environment is to stop trading based on a gut feeling and start trading based on a stress tested mathematical edge the real breakthrough happened when i started using claude opus four point six to write the execution code for these specific five minute windows. having an ai agent that can analyze microstructure data means you can find trends that are completely invisible to the naked eye. it is essentially like having a team of twenty engineers working for you around the clock without the communication lag or the massive overhead costs some of our back tests show a sixty four percent win rate which sounds like a dream to anyone who has ever spent a night staring at a red screen. however the return on these tests varies wildly based on a few specific changes to the strategy parameters and histogram filters. i found that a return of forty one thousand dollars can jump to nearly double that just by adjusting how the bot handles the macd histogram threshold the trap that most people fall into is thinking that a good back test is a license to print money immediately without any further validation. this is a dangerous lie that leads to huge losses because the market in the past is not a perfect mirror of what is going to happen today. that is why i never launch a bot with full size until it has survived the incubation phase where it trades with ten dollars at a time incubation is the ultimate reality check for any trading strategy regardless of how good the numbers look on a computer screen. it is nerve wracking to watch a bot enter its first real trade even if the size is small because that is the moment theory meets reality. most of the bots that pass a back test will fail during the first forty eight hours of incubation and that is exactly why this step is non negotiable the data i use to build these systems covers over two hundred weeks of historical one minute candles to ensure the results are robust and not just luck. we are currently moving toward a machine learning approach where the system can adapt to changing market conditions without me having to intervene. this means the bot will eventually be able to recognize when a high leverage window is too risky and simply wait for a better entry the strategy itself relies heavily on macd variations which is a well known indicator but it is used here with a very specific and proprietary twist. by filtering for trades that hit a specific threshold we can ignore the random price noise that usually liquidates manual traders. we look for an edge of at least six percent which is enough to cover all platform fees and still leave a significant profit on the table i used to think that being a successful trader meant being a genius who could predict the future with a magical crystal ball. the truth is far more boring because success is just about researching an idea and testing it until the data proves it works in the past. then you just let the bot do the work while you go live your life instead of being a slave to the candle sticks and charts this world is changing fast and the people who learn to leverage ai to automate their thinking are going to be the ones who win the next decade. i am not asking you to trust a back test or a screenshot from a website because i want you to trust the process of testing it yourself. code allows you to take your life back from the screens and finally stop the cycle of over trading and emotional liquidations the difference between the traders who make it and the people who blow up is simply the willingness to iterate on their ideas daily. you might fail on your first ten bots but the eleventh one might be the script that changes your entire financial trajectory forever. it is about staying in the game long enough for the math to finally work in your favor and removing the human heart from the execution every day i am back testing and researching new ideas to see if they can survive the stress of real market data. i launch these live bots and let them run for seventy two hours to see if they can handle the pressure of the current market trend. while everyone else is coping and complaining about market volatility we are just adjusting our parameters and letting the ai find the next profitable window vibe coding with claude opus four point six has changed the speed at which i can deploy a new strategy from weeks down to just a few minutes. you can give the ai a general strategy idea and it builds the entire trading infrastructure for you while you focus on the logic. this speed is the ultimate advantage in a market that moves as fast as a five minute prediction window on the blockchain the future of trading is not found in a chat room or a paid signal group but in the code you write and the data you process. i believe that everyone has the ability to become an automated trader if they are willing to put in the work to learn the scripts. it is the only way to escape the trap of the nine to five and the anxiety of manual hand trading in a manipulated market i want you to understand that the ninety six thousand dollar returns i see are the result of hundreds of failed tests that never saw the light of day. you have to be willing to look at a failing bot and kill it without emotion so you can move on to the next research project. that is the quantitative mindset that separates the winners from the people who are just gambling with their savings if you are ready to stop being the liquidity for the big players then it is time to start building your own automated army of bots. for the cost of a few cups of coffee you can get access to the road map and the scripts that are driving these results. i am here every day showing you the process because i want to see more people use code to find their financial freedom and beat the house at its own game
11:04

I Cracked Polymarket Using Claude Opus 4.6: The 96,000 Dollar Script For 5 Minute High Leverage Windows most traders are currently sitting at their desks fighting a losing battle against a digital wall because they do not realize the house always wins against human emotion. while the crowd is busy chasing the next meme coin or getting washed out in a single wick an automated agent just pulled nearly a hundred thousand dollars out of thin air using nothing but raw logic. i have seen people blow their life savings in these five minute windows because they treated a high leverage prediction market like a playground instead of a laboratory i am moon dev and i believe that code is the great equalizer because through losing money with liquidations and over trading i knew i had to automate my trading. in the past i spent hundreds of thousands on devs for apps thinking i would not be able to code myself which was a massive waste of my time and resources. with bots you must iterate to success so i decided to learn live on youtube and now we are here with fully automated systems trading for me instead of getting liquidated by the market the five minute markets on polymarket are essentially a high speed game of musical chairs where the person left standing is usually the one with the fastest script. leverage makes these markets extremely dangerous because it amplifies every mistake you make until your account is completely empty. the only way to survive this environment is to stop trading based on a gut feeling and start trading based on a stress tested mathematical edge the real breakthrough happened when i started using claude opus four point six to write the execution code for these specific five minute windows. having an ai agent that can analyze microstructure data means you can find trends that are completely invisible to the naked eye. it is essentially like having a team of twenty engineers working for you around the clock without the communication lag or the massive overhead costs some of our back tests show a sixty four percent win rate which sounds like a dream to anyone who has ever spent a night staring at a red screen. however the return on these tests varies wildly based on a few specific changes to the strategy parameters and histogram filters. i found that a return of forty one thousand dollars can jump to nearly double that just by adjusting how the bot handles the macd histogram threshold the trap that most people fall into is thinking that a good back test is a license to print money immediately without any further validation. this is a dangerous lie that leads to huge losses because the market in the past is not a perfect mirror of what is going to happen today. that is why i never launch a bot with full size until it has survived the incubation phase where it trades with ten dollars at a time incubation is the ultimate reality check for any trading strategy regardless of how good the numbers look on a computer screen. it is nerve wracking to watch a bot enter its first real trade even if the size is small because that is the moment theory meets reality. most of the bots that pass a back test will fail during the first forty eight hours of incubation and that is exactly why this step is non negotiable the data i use to build these systems covers over two hundred weeks of historical one minute candles to ensure the results are robust and not just luck. we are currently moving toward a machine learning approach where the system can adapt to changing market conditions without me having to intervene. this means the bot will eventually be able to recognize when a high leverage window is too risky and simply wait for a better entry the strategy itself relies heavily on macd variations which is a well known indicator but it is used here with a very specific and proprietary twist. by filtering for trades that hit a specific threshold we can ignore the random price noise that usually liquidates manual traders. we look for an edge of at least six percent which is enough to cover all platform fees and still leave a significant profit on the table i used to think that being a successful trader meant being a genius who could predict the future with a magical crystal ball. the truth is far more boring because success is just about researching an idea and testing it until the data proves it works in the past. then you just let the bot do the work while you go live your life instead of being a slave to the candle sticks and charts this world is changing fast and the people who learn to leverage ai to automate their thinking are going to be the ones who win the next decade. i am not asking you to trust a back test or a screenshot from a website because i want you to trust the process of testing it yourself. code allows you to take your life back from the screens and finally stop the cycle of over trading and emotional liquidations the difference between the traders who make it and the people who blow up is simply the willingness to iterate on their ideas daily. you might fail on your first ten bots but the eleventh one might be the script that changes your entire financial trajectory forever. it is about staying in the game long enough for the math to finally work in your favor and removing the human heart from the execution every day i am back testing and researching new ideas to see if they can survive the stress of real market data. i launch these live bots and let them run for seventy two hours to see if they can handle the pressure of the current market trend. while everyone else is coping and complaining about market volatility we are just adjusting our parameters and letting the ai find the next profitable window vibe coding with claude opus four point six has changed the speed at which i can deploy a new strategy from weeks down to just a few minutes. you can give the ai a general strategy idea and it builds the entire trading infrastructure for you while you focus on the logic. this speed is the ultimate advantage in a market that moves as fast as a five minute prediction window on the blockchain the future of trading is not found in a chat room or a paid signal group but in the code you write and the data you process. i believe that everyone has the ability to become an automated trader if they are willing to put in the work to learn the scripts. it is the only way to escape the trap of the nine to five and the anxiety of manual hand trading in a manipulated market i want you to understand that the ninety six thousand dollar returns i see are the result of hundreds of failed tests that never saw the light of day. you have to be willing to look at a failing bot and kill it without emotion so you can move on to the next research project. that is the quantitative mindset that separates the winners from the people who are just gambling with their savings if you are ready to stop being the liquidity for the big players then it is time to start building your own automated army of bots. for the cost of a few cups of coffee you can get access to the road map and the scripts that are driving these results. i am here every day showing you the process because i want to see more people use code to find their financial freedom and beat the house at its own game

Moon Dev

10,921 views • 5 months ago

China’s construction tech is on another level! If you still picture construction sites with tones of workers swinging hammers, you’re officially stuck in the 90s. In China they’re out here building skyscrapers like it’s a speedrun challenge, with a tech stack that would make Silicon Valley jealous. AI-Powered Smart Sites Drones, IoT sensors, and AI are managing construction sites better than some human managers. Real-time safety alerts, automated progress tracking, and even predictive maintenance are standard tools, not fancy bonuses. Green Building Technologies Solar panels built into facades. Rainwater harvesting embedded into skyscrapers. Buildings that regulate their own temperature to save energy, not future dreams, but today’s standards. Robotics in Construction From brick-laying robots to rebar-tying machines, construction crews in China now have mechanical teammates with no lunch breaks, no grumbling. Welcome to Construction 2.0 (China Edition) Humans supervising, robots building! Gone are the days when a construction site meant a hundred+ guys with shovels. In China’s construction sites today, the machines are the real MVPs, humans mostly sip coffee and supervise. Bricklaying Human hands? Please. Robotic arms now lay bricks faster, straighter, and neater than your uncle’s weekend DIY projects. Some can lay 1,000+ bricks an hour and never ask for overtime. Excavation Remember digging trenches with shovels? That’s adorable. Now AI-guided autonomous excavators carve the earth with GPS-level precision while operators chill in air-conditioned control rooms. Concrete Pouring Giant robotic nozzles squeezing out entire building frames like they’re icing a wedding cake. Layers and layers, no sweat, no mess, no “oops, we need to redo that wall.” Welding You think shaky human hands are still melting steel together? Nah. Robot welders buzz and spark with perfect, tireless accuracy, even in places that are too risky for humans to reach. Inspection Sending humans to climb scaffolding 50 stories up? Very 2002. Now drones buzz around construction sites like paparazzi, scanning every beam, bolt, and brick, spotting defects before a human eye would even blink. Material Transport Why carry things manually when you can have self-driving forklifts and delivery bots moving steel, concrete, and pipes faster than an Amazon Prime truck? Site Monitoring Forget some guy in a neon vest wandering around with a clipboard. Today it’s AI-driven command centers tracking thousands of data points: worker safety, machinery health, material delivery schedules all from one giant screen. Project Planning Old: Paper blueprints and arguing architects. New: AI and BIM (Building Information Modeling) simulate the entire building in virtual reality before the first brick is even printed. This video shows how construction sites in China are now using robots to handle tasks like rebar placement, concrete pouring, and polishing, which has led to a 50% reduction in the workforce at some projects. The robots are proving to be more efficient, with one project's furnace robot achieving a 20% efficiency increase in just 5 days, saving 5% on labor costs. The construction company is developing even more advanced robots for future use as they work to improve smart construction technology for widespread real-time application. At China’s next-gen construction sites, humans don’t sweat, they strategize. Machines are not seen as luxury, they are seen as a necessity. Why does it matter? China is using 5G, AI, IoT, and robotics to build entire smart cities. And when the world comes looking for fast, sustainable, and scalable construction models… guess who’s already handing out the blueprints? Next time you hear: ‘Made in China,’ think bigger, it is: ‘Engineered for the future in China.’
0:36

China’s construction tech is on another level! If you still picture construction sites with tones of workers swinging hammers, you’re officially stuck in the 90s. In China they’re out here building skyscrapers like it’s a speedrun challenge, with a tech stack that would make Silicon Valley jealous. AI-Powered Smart Sites Drones, IoT sensors, and AI are managing construction sites better than some human managers. Real-time safety alerts, automated progress tracking, and even predictive maintenance are standard tools, not fancy bonuses. Green Building Technologies Solar panels built into facades. Rainwater harvesting embedded into skyscrapers. Buildings that regulate their own temperature to save energy, not future dreams, but today’s standards. Robotics in Construction From brick-laying robots to rebar-tying machines, construction crews in China now have mechanical teammates with no lunch breaks, no grumbling. Welcome to Construction 2.0 (China Edition) Humans supervising, robots building! Gone are the days when a construction site meant a hundred+ guys with shovels. In China’s construction sites today, the machines are the real MVPs, humans mostly sip coffee and supervise. Bricklaying Human hands? Please. Robotic arms now lay bricks faster, straighter, and neater than your uncle’s weekend DIY projects. Some can lay 1,000+ bricks an hour and never ask for overtime. Excavation Remember digging trenches with shovels? That’s adorable. Now AI-guided autonomous excavators carve the earth with GPS-level precision while operators chill in air-conditioned control rooms. Concrete Pouring Giant robotic nozzles squeezing out entire building frames like they’re icing a wedding cake. Layers and layers, no sweat, no mess, no “oops, we need to redo that wall.” Welding You think shaky human hands are still melting steel together? Nah. Robot welders buzz and spark with perfect, tireless accuracy, even in places that are too risky for humans to reach. Inspection Sending humans to climb scaffolding 50 stories up? Very 2002. Now drones buzz around construction sites like paparazzi, scanning every beam, bolt, and brick, spotting defects before a human eye would even blink. Material Transport Why carry things manually when you can have self-driving forklifts and delivery bots moving steel, concrete, and pipes faster than an Amazon Prime truck? Site Monitoring Forget some guy in a neon vest wandering around with a clipboard. Today it’s AI-driven command centers tracking thousands of data points: worker safety, machinery health, material delivery schedules all from one giant screen. Project Planning Old: Paper blueprints and arguing architects. New: AI and BIM (Building Information Modeling) simulate the entire building in virtual reality before the first brick is even printed. This video shows how construction sites in China are now using robots to handle tasks like rebar placement, concrete pouring, and polishing, which has led to a 50% reduction in the workforce at some projects. The robots are proving to be more efficient, with one project's furnace robot achieving a 20% efficiency increase in just 5 days, saving 5% on labor costs. The construction company is developing even more advanced robots for future use as they work to improve smart construction technology for widespread real-time application. At China’s next-gen construction sites, humans don’t sweat, they strategize. Machines are not seen as luxury, they are seen as a necessity. Why does it matter? China is using 5G, AI, IoT, and robotics to build entire smart cities. And when the world comes looking for fast, sustainable, and scalable construction models… guess who’s already handing out the blueprints? Next time you hear: ‘Made in China,’ think bigger, it is: ‘Engineered for the future in China.’

Evrim Kanbur

71,826 views • 1 year ago

10 free GitHub repos that can save you hundreds every month. open-source. free to use. better than most people think. ↓ 1️⃣ OpenScreen — an alternative to Screen Studio ($29/mo) • record polished demos on macOS, Windows, and Linux • automatic cursor effects, blur, annotations, GIF + MP4 export • lightweight and perfect for product walkthroughs without extra editing — 2️⃣ VoiceBox — an alternative to ElevenLabs ($22/mo) + Wispr Flow ($15/mo) • privacy-first AI voice toolkit that runs locally • clone voices with a few seconds of audio • supports 7 TTS engines, 23 languages, and system-wide voice dictation • works with Apple Silicon, CUDA, and ROCm — 3️⃣ OpenShorts — an alternative to Opus Clip ($19/mo) + Submagic ($16/mo) • convert long videos into viral vertical clips • auto captions, face tracking, and AI clip selection • includes AI UGC video generation • easy Docker deployment for self-hosting — 4️⃣ FreeLLMAPI — an alternative to ChatGPT Pro + Claude Pro ($20/mo each) • combine 14 free AI providers behind one API • OpenAI-compatible endpoint • roughly 800M free tokens/month • built-in routing, failover, encrypted key storage, and dashboard — 5️⃣ Playwright MCP — an alternative to Browserbase ($39/mo) + Browser Use ($25/mo) • Microsoft's official browser automation MCP • AI agents interact using accessibility trees instead of screenshots • faster, cheaper, and more reliable automation • works with Claude Code, Cursor, Windsurf, and Codex — 6️⃣ Vibe Trading — an alternative to TradingView Premium ($60/mo) • AI-powered investing and strategy research platform • supports stocks, crypto, forex, futures, and options • dozens of built-in research skills • backtesting included without requiring paid APIs — 7️⃣ — an alternative to Calendly ($12/mo) + SavvyCal ($12/mo) • open-source scheduling platform • round robin, team scheduling, routing forms, payments • integrates with Google Calendar, Outlook, Apple Calendar, Zoom, Meet, and Teams • deploy yourself in minutes — 8️⃣ Whisper — an alternative to ($17/mo) • OpenAI's speech recognition model • transcribes and translates audio in nearly 100 languages • timestamp support included • runs locally on CPU or GPU — 9️⃣ Postiz — an alternative to Buffer ($15/mo) • schedule content across all major social platforms • AI-generated captions and hashtags • built-in analytics and collaborative workspaces • growing rapidly with a large open-source community — 🔟 Vaultwarden — an alternative to 1Password ($8/mo) • lightweight Bitwarden-compatible server written in Rust • works with official Bitwarden apps • unlimited users and vaults • self-host on almost any VPS or home server — Worth knowing: Open-source isn't always a perfect replacement. You may spend a little more time setting things up. In return, you get: • no monthly subscription • full ownership of your data • complete control over your workflow That's a trade many builders happily make. Save this for later. Someone on your timeline is probably paying for at least three of these. — Kshitij Mishra
0:31

10 free GitHub repos that can save you hundreds every month. open-source. free to use. better than most people think. ↓ 1️⃣ OpenScreen — an alternative to Screen Studio ($29/mo) • record polished demos on macOS, Windows, and Linux • automatic cursor effects, blur, annotations, GIF + MP4 export • lightweight and perfect for product walkthroughs without extra editing — 2️⃣ VoiceBox — an alternative to ElevenLabs ($22/mo) + Wispr Flow ($15/mo) • privacy-first AI voice toolkit that runs locally • clone voices with a few seconds of audio • supports 7 TTS engines, 23 languages, and system-wide voice dictation • works with Apple Silicon, CUDA, and ROCm — 3️⃣ OpenShorts — an alternative to Opus Clip ($19/mo) + Submagic ($16/mo) • convert long videos into viral vertical clips • auto captions, face tracking, and AI clip selection • includes AI UGC video generation • easy Docker deployment for self-hosting — 4️⃣ FreeLLMAPI — an alternative to ChatGPT Pro + Claude Pro ($20/mo each) • combine 14 free AI providers behind one API • OpenAI-compatible endpoint • roughly 800M free tokens/month • built-in routing, failover, encrypted key storage, and dashboard — 5️⃣ Playwright MCP — an alternative to Browserbase ($39/mo) + Browser Use ($25/mo) • Microsoft's official browser automation MCP • AI agents interact using accessibility trees instead of screenshots • faster, cheaper, and more reliable automation • works with Claude Code, Cursor, Windsurf, and Codex — 6️⃣ Vibe Trading — an alternative to TradingView Premium ($60/mo) • AI-powered investing and strategy research platform • supports stocks, crypto, forex, futures, and options • dozens of built-in research skills • backtesting included without requiring paid APIs — 7️⃣ — an alternative to Calendly ($12/mo) + SavvyCal ($12/mo) • open-source scheduling platform • round robin, team scheduling, routing forms, payments • integrates with Google Calendar, Outlook, Apple Calendar, Zoom, Meet, and Teams • deploy yourself in minutes — 8️⃣ Whisper — an alternative to ($17/mo) • OpenAI's speech recognition model • transcribes and translates audio in nearly 100 languages • timestamp support included • runs locally on CPU or GPU — 9️⃣ Postiz — an alternative to Buffer ($15/mo) • schedule content across all major social platforms • AI-generated captions and hashtags • built-in analytics and collaborative workspaces • growing rapidly with a large open-source community — 🔟 Vaultwarden — an alternative to 1Password ($8/mo) • lightweight Bitwarden-compatible server written in Rust • works with official Bitwarden apps • unlimited users and vaults • self-host on almost any VPS or home server — Worth knowing: Open-source isn't always a perfect replacement. You may spend a little more time setting things up. In return, you get: • no monthly subscription • full ownership of your data • complete control over your workflow That's a trade many builders happily make. Save this for later. Someone on your timeline is probably paying for at least three of these. — Kshitij Mishra

Kshitij Mishra | AI & Tech

16,698 views • 1 month ago

If you think AI is "not there yet" - You are not informed Here is what I did on maxfusion Full prompt: Handheld digital camcorder aesthetic, landscape framing. A gorgeous fitness and food influencer films herself by hand in selfie-cam and first-person style while cooking a late-night high-protein meal after training and a shower. Keep realistic hand shake, slightly crooked framing, autofocus briefly hunting between her face and the food, awkward zoom-ins onto the pan, occasional motion blur, brief lens steam-up over the hot pan that clears naturally, and small framing mistakes where her face or the pan edge slips out of frame. Mix handheld selfie footage with a few fixed external shots. Important: never show her placing, adjusting, or setting up a camera. When switching from handheld footage to a fixed external angle, use a clean jump cut as if the camera had already been positioned before the shot began. The camera itself must never appear on screen or in the window reflection. LOOK: Warm late-night kitchen light. A single warm pendant over the counter, cool blue night visible through the window behind her, under-cabinet strip light glowing on the backsplash. Slight camcorder softness, faint noise in the shadows, mild bloom on the pendant. Food realism is the core of the look: real sizzle with fine oil spatter, steam rising and curling from the pan, honest food textures with sear marks and glistening surfaces, knife cuts that separate cleanly, droplets on rinsed vegetables. Realistic skin texture, fresh-from-the-shower glow, clean dewy skin, realistic skin tones. STYLE: A realistic late-night what-I-eat-after-training vlog. The tone is relaxed, hungry, funny, quietly confident, and natural, talking to the lens like a friend while her hands keep working. She is clearly attractive and charismatic, but the video must feel like a believable self-recorded kitchen vlog, not a food commercial. Fast clean jump cuts, strong continuity, natural body language, real kitchen sounds, sizzle, chopping, no awkward dead moments. CHARACTER: The woman in the reference image. Her face, features, skin tone, body, and clothing must match the reference image exactly in every shot — she wears exactly what she is wearing in the reference image. Do not restyle, beautify, or alter her in any way beyond the reference. The one addition: a soft white towel wrapped around her head like a turban, as if she just stepped out of the shower. The towel stays neatly wrapped for the whole video. A few small damp strands of hair may peek out at the hairline and neck. Minimal or no makeup, fresh clean post-shower look. A small kitchen towel over one shoulder for most of the video. SETTING: A small warm real apartment kitchen at night. Wooden counter with knife marks, a gas hob with one cast-iron pan, a cutting board with chicken breast and vegetables, a bowl of cooked rice, a bottle of olive oil, salt in a small dish, a fridge with magnets and photos, dishes drying on a rack, dark window over the sink reflecting the warm kitchen. Lived-in and slightly cluttered. No other people, no pets. IMPORTANT CONTINUITY RULES: The same woman from the reference image must remain fully consistent in every shot. No face changes, no outfit changes, no body changes. The head towel stays wrapped in the same position in every shot — it never unwraps, falls, changes color, or disappears. The meal progresses in one direction only: raw ingredients, then chopping, then searing, then plating, then eating, and never reverses or regenerates. Food already cooked never becomes raw again. Hands and knife are the top priority: five fingers always, correct knife grip with curled guiding fingers, clean cuts, the knife never bends and never passes through her hand. The pan, board, oil bottle and rice bowl stay in the same positions. Steam and sizzle must behave with real physics. No extra people, including in the dark window reflection, and the reflection never shows a camera. No duplicated limbs. No camera visible. No camera setup shown. Keep her matching the reference image, warm, and photogenic in every shot. STORYBOARD: 30 seconds total, 10 cuts. (~3s, arm's-length selfie) She leans on the counter, towel wrapped on her head, clearly fresh from the shower after training, and grins tiredly at the lens. Dialogue: "Trained late. Showered. Starving. Let's cook." (~3s, handheld pan across the counter and back to her) The camera drifts across the board with raw chicken and vegetables, the pan, the rice bowl, then back up to her face. Dialogue: "Ten minute meal. Watch." (~3s, fixed external medium shot from across the counter) Jump cut. She is already chopping a red pepper with quick confident cuts, guiding fingers curled, pieces falling evenly. No camera setup shown. No dialogue, just the knife on the board. (~3s, same fixed shot) She slices the chicken breast into strips, seasons it from the salt dish with a high pinch, and rubs it in with her fingertips. Dialogue: "Protein first. Always." (~3s, tight handheld first-person shot over the pan) Oil shimmering, she lays the chicken strips in one by one and they hit with a loud real sizzle, fine spatter, steam rising into the lens which fogs for a beat and clears. No dialogue, just the sizzle. (~3s, handheld selfie while the pan sizzles behind her) She turns the camera on herself, fanning steam away from her face, laughing, one hand briefly steadying the head towel. Dialogue: "The smell. You have no idea." (~3s, tight handheld close-up of the pan) She flips the strips with tongs, showing deep golden sear marks, tosses in the peppers, and shakes the pan once so everything jumps and resettles. Dialogue: "That colour? That's the whole point." (~3s, fixed external shot) Jump cut. She plates it: rice pressed from the bowl, chicken and peppers over the top, a last drizzle of olive oil in a thin ribbon, and she wipes the plate rim with the towel like a chef, then smirks at her own seriousness. Dialogue: "Yes, I wiped the rim. Let me live." (~3s, tight handheld close-up) First fork bite, steam still coming off it, she chews, closes her eyes for a beat and nods slowly. Dialogue: "Ten minutes. That's it. Ridiculous." (~3s, arm's-length selfie ending) Plate in one hand, camera in the other, she backs out of the kitchen toward the sofa, flicking the kitchen light off with her elbow. Dialogue: "Okay. Eating. Good night." FINAL INSTRUCTION: The result must feel like a real self-recorded late-night cooking vlog by an athlete who actually cooks, filmed right after her shower. The highest priorities are matching the reference image exactly, correct hands and knife work at close range, one-directional cooking progression that never reverses, real sizzle, steam and food texture, the head towel staying consistently wrapped, honest warm kitchen light against the dark window, and subtle imperfection. Keep it warm, hungry, and real. Not a food commercial, not overhead recipe content, not stiff.
0:30

If you think AI is "not there yet" - You are not informed Here is what I did on maxfusion Full prompt: Handheld digital camcorder aesthetic, landscape framing. A gorgeous fitness and food influencer films herself by hand in selfie-cam and first-person style while cooking a late-night high-protein meal after training and a shower. Keep realistic hand shake, slightly crooked framing, autofocus briefly hunting between her face and the food, awkward zoom-ins onto the pan, occasional motion blur, brief lens steam-up over the hot pan that clears naturally, and small framing mistakes where her face or the pan edge slips out of frame. Mix handheld selfie footage with a few fixed external shots. Important: never show her placing, adjusting, or setting up a camera. When switching from handheld footage to a fixed external angle, use a clean jump cut as if the camera had already been positioned before the shot began. The camera itself must never appear on screen or in the window reflection. LOOK: Warm late-night kitchen light. A single warm pendant over the counter, cool blue night visible through the window behind her, under-cabinet strip light glowing on the backsplash. Slight camcorder softness, faint noise in the shadows, mild bloom on the pendant. Food realism is the core of the look: real sizzle with fine oil spatter, steam rising and curling from the pan, honest food textures with sear marks and glistening surfaces, knife cuts that separate cleanly, droplets on rinsed vegetables. Realistic skin texture, fresh-from-the-shower glow, clean dewy skin, realistic skin tones. STYLE: A realistic late-night what-I-eat-after-training vlog. The tone is relaxed, hungry, funny, quietly confident, and natural, talking to the lens like a friend while her hands keep working. She is clearly attractive and charismatic, but the video must feel like a believable self-recorded kitchen vlog, not a food commercial. Fast clean jump cuts, strong continuity, natural body language, real kitchen sounds, sizzle, chopping, no awkward dead moments. CHARACTER: The woman in the reference image. Her face, features, skin tone, body, and clothing must match the reference image exactly in every shot — she wears exactly what she is wearing in the reference image. Do not restyle, beautify, or alter her in any way beyond the reference. The one addition: a soft white towel wrapped around her head like a turban, as if she just stepped out of the shower. The towel stays neatly wrapped for the whole video. A few small damp strands of hair may peek out at the hairline and neck. Minimal or no makeup, fresh clean post-shower look. A small kitchen towel over one shoulder for most of the video. SETTING: A small warm real apartment kitchen at night. Wooden counter with knife marks, a gas hob with one cast-iron pan, a cutting board with chicken breast and vegetables, a bowl of cooked rice, a bottle of olive oil, salt in a small dish, a fridge with magnets and photos, dishes drying on a rack, dark window over the sink reflecting the warm kitchen. Lived-in and slightly cluttered. No other people, no pets. IMPORTANT CONTINUITY RULES: The same woman from the reference image must remain fully consistent in every shot. No face changes, no outfit changes, no body changes. The head towel stays wrapped in the same position in every shot — it never unwraps, falls, changes color, or disappears. The meal progresses in one direction only: raw ingredients, then chopping, then searing, then plating, then eating, and never reverses or regenerates. Food already cooked never becomes raw again. Hands and knife are the top priority: five fingers always, correct knife grip with curled guiding fingers, clean cuts, the knife never bends and never passes through her hand. The pan, board, oil bottle and rice bowl stay in the same positions. Steam and sizzle must behave with real physics. No extra people, including in the dark window reflection, and the reflection never shows a camera. No duplicated limbs. No camera visible. No camera setup shown. Keep her matching the reference image, warm, and photogenic in every shot. STORYBOARD: 30 seconds total, 10 cuts. (~3s, arm's-length selfie) She leans on the counter, towel wrapped on her head, clearly fresh from the shower after training, and grins tiredly at the lens. Dialogue: "Trained late. Showered. Starving. Let's cook." (~3s, handheld pan across the counter and back to her) The camera drifts across the board with raw chicken and vegetables, the pan, the rice bowl, then back up to her face. Dialogue: "Ten minute meal. Watch." (~3s, fixed external medium shot from across the counter) Jump cut. She is already chopping a red pepper with quick confident cuts, guiding fingers curled, pieces falling evenly. No camera setup shown. No dialogue, just the knife on the board. (~3s, same fixed shot) She slices the chicken breast into strips, seasons it from the salt dish with a high pinch, and rubs it in with her fingertips. Dialogue: "Protein first. Always." (~3s, tight handheld first-person shot over the pan) Oil shimmering, she lays the chicken strips in one by one and they hit with a loud real sizzle, fine spatter, steam rising into the lens which fogs for a beat and clears. No dialogue, just the sizzle. (~3s, handheld selfie while the pan sizzles behind her) She turns the camera on herself, fanning steam away from her face, laughing, one hand briefly steadying the head towel. Dialogue: "The smell. You have no idea." (~3s, tight handheld close-up of the pan) She flips the strips with tongs, showing deep golden sear marks, tosses in the peppers, and shakes the pan once so everything jumps and resettles. Dialogue: "That colour? That's the whole point." (~3s, fixed external shot) Jump cut. She plates it: rice pressed from the bowl, chicken and peppers over the top, a last drizzle of olive oil in a thin ribbon, and she wipes the plate rim with the towel like a chef, then smirks at her own seriousness. Dialogue: "Yes, I wiped the rim. Let me live." (~3s, tight handheld close-up) First fork bite, steam still coming off it, she chews, closes her eyes for a beat and nods slowly. Dialogue: "Ten minutes. That's it. Ridiculous." (~3s, arm's-length selfie ending) Plate in one hand, camera in the other, she backs out of the kitchen toward the sofa, flicking the kitchen light off with her elbow. Dialogue: "Okay. Eating. Good night." FINAL INSTRUCTION: The result must feel like a real self-recorded late-night cooking vlog by an athlete who actually cooks, filmed right after her shower. The highest priorities are matching the reference image exactly, correct hands and knife work at close range, one-directional cooking progression that never reverses, real sizzle, steam and food texture, the head towel staying consistently wrapped, honest warm kitchen light against the dark window, and subtle imperfection. Keep it warm, hungry, and real. Not a food commercial, not overhead recipe content, not stiff.

Stav Zilbershtein

83,680 views • 14 days ago