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Fighting for a Cloud🔥Interactive Tickling video made in Power Point PLAY THE FREE DEMO BEFORE PURCHASE! GET THIS: DEMO: TifaVA:✦𝙿𝚒𝚡𝚒𝚎𝚆𝚒𝚕𝚕𝚘𝚠✦ | Voice Actress & Sound AerithVA:🍒 CherryRuby_VA🎙🔞 (COMMISSIONS OPEN) Rigs: Mustard and Mokujinh Room:Baronstrap TrailerVA:Sultry Lamp🎙💋COMMISSIONS OPEN

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AviTickleME

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221,356 Aufrufe • vor 3 Jahren •via X (Twitter)

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This guy is turning every frame of his bedroom into a high-end commercial set and printed $28,700 in commissions this month by selling these "live-edit" assets to digital stores. The workflow that prints money from a single bedroom cam: > raw footage: record 10 seconds of you holding a plain steel tumbler > Gemini Omni prompt: "transform steel tumbler to glass bottle with glowing orange liquid, match physics and hand-grip" > environment swap: "turn toy shelf into a functioning aquarium with floating goldfish" > lighting pass: "open window curtains, cast realistic sunlight across the desk, add lamp glow" The results are indistinguishable from professional VFX work that usually requires a 10-person crew and weeks of post-production. Earnings breakout: > 5 custom ad assets for a beverage brand: $12,500 > 4 interactive shop interior renders: $9,200 > direct licensing of "live-aquarium" loop: $7,000 Most product photographers are still fighting with studio lights, reflection management, and expensive glass props. He bypassed the physical studio setup for the cost of a Google AI Pro subscription.

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Introducing the Clips chrome extension - the easiest way to send bug reports to agents with video, transcript, and browser debug info captured automatically. 100% free and open source. If you are like me and get tired of manually typing instructions to agents, attaching screenshots, pasting debug logs, and all of that, this might be your new favorite tool. With the Clips chrome extension, you can just click the Clips icon, hit record, and start talking. Visually demonstrate your issue, go through the flow, point out what’s broken. Clips will capture everything on your screen, plus network requests, browser logs, client errors, and all the details around them. And it redacts sensitive information. Then it gives you a link you can send to humans so they can play it and take a look. Or, more importantly, just give it to your agents by just pasting the URL to them. The link has special metadata for agents so just from the URL, the agent can pull all information from the clip automatically. No plugin or MCP server required. That means it can "see and hear" what’s in the video - read the transcript, grab snapshots at any timestamp, and inspect the logs and network requests that were shared with it. So whether you want to quickly demo an issue and send all that context to an agent, or get better bug reports from teammates, recording and sending Clips makes that super easy. Unlike expensive apps like Loom, this is all 100% free and open source. The framework that powers this, plus a bunch of other free applications, is open source too. You can just sign up and use it, or fork it and customize it to your needs. This, in my opinion, is the future of software. Rather than bloated SaaS that charges you a ton of money and still doesn’t even have the things you need, we get free open source canonical apps that you can fork and customize in any way you want. I'll link to all this stuff in the replies. If you try it, let me know your feedback.

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I’ve built an order execution tool specifically for IB users. The open-source code is available on GitHub, but since most traders probably prefer something simple and ready to use, I also made an executable (.exe) version and uploaded it to Google Drive. This order execution tool can automatically retrieve your account balance and calculate position size based on your specified risk %. You can choose to set the stop loss at the LOD (low of the day) or enter it manually. The tool automatically places stop orders according to your stop level, one stop or 3 stops Why three stop orders? You can refer to Jeff Sun, CFTe Jeff Sun’s article for the reasoning behind this risk management approach. It also comes with customizable hotkeys for quick and efficient order placement. In the demo video, I used a virtual keyboard to show you how it works in real time. Lastly, this tool is completely free to use. If you find it helpful, you’re welcome to buy me a coffee — your support is what keeps me motivated to keep improving and adding new features. I’ve recorded a demo video showing how to set it up and use it — it’s already posted on X for reference. Github: Googledrive:

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29,715 Aufrufe • vor 10 Monaten

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Israel Adesanya, Rampage Jackson and N3on star in a $2,000,000 feature film made by just 28 people in 4 weeks. You'd be INSANE to scroll past this: 1. The Cully Hill Boys: a full 110-minute feature film 2. The first fully AI generated feature film to star licensed celebrity likenesses 3. Israel Adesanya. Quinton "Rampage" Jackson. N3on. Matt Kiatipis. 4. Every likeness licensed with consent. Signed agreements, not deepfakes. 5. Production cost: $2,000,000 6. Team: 28 people. Timeline: 4 weeks. 7. Around 1,000 assets across 100+ locations 8. A feature at this scale normally takes hundreds of people and years 9. World premiere: August 5 at The Glasshouse in New York 10. This isn't a demo. It's a premiered feature film. 11. And today every prompt behind it went public 12. Every asset. Every scene. $0. 13. Studios would pay 6 figures for this exact knowledge 14. Open the kit, pick any scene 15. Reverse engineer how they directed a real cast across 100+ locations 16. Rebuild any part of a premiered film's pipeline yourself 17. First movers on new techniques always eat 18. The playbook is sitting in a free folder And today Higgsfield open-sourced every prompt behind it. A premiered feature film with a licensed celebrity cast just handed you its entire pipeline. If you're serious about getting paid for AI video in 2026, this is the best free shot you'll get. Open the kit tonight, pick ONE scene, and rebuild it. That's your film school for 2026 and it costs you nothing. (clip attached; straight from the film)

ALEX SUZUKI

171,273 Aufrufe • vor 18 Tagen

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Pounds

340,204 Aufrufe • vor 4 Monaten

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Free forever. No meter. No tokens. No bill. Here's what nobody tells you: 80% of coding tasks? Open source handles them. More than handles them. Writes clean code. Debugs errors. Generates boilerplate. Handles routine work perfectly. You're paying premium prices for tasks that don't need premium intelligence. That's hiring a brain surgeon to put on a bandaid. Smart play: Free models for the 80%. Paid credits for the 20%. That's what the $401M guy does. That's what this video teaches you. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 1: Ollama. Local. Free. Forever. Download it. Pull a model. Point Claude Code at it. Done. No internet needed. No API keys required. No monthly subscription. No token counting ever. No bill. Today. Tomorrow. Ever. Your data never leaves your computer. Complete privacy. Complete freedom. Claude Code thinks it's talking to the cloud. It's talking to your laptop. For $0. The video walks through every step: Every config file. Every variable. Every command. Every click. If you can follow a recipe, you can do this. People who set this up 3 months ago? Saved $300-$1,500 since then. Workflow didn't change one bit. ↓ Hardware you need: 16GB RAM: 7B models run smooth. 32GB RAM: 32B models run comfortable. 64GB + GPU: biggest models available. No GPU? Still works. Just slower. Few extra seconds. That's it. Your $1,500 laptop is sitting there running Chrome and Spotify. Put it to work saving you $200/month instead. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 2: Open Router. Free Cloud. No Hardware. Weak machine? Don't want local setup? This method is for you. Free AI models in the cloud. No download. No hardware. Configure Claude Code to route through Open Router. The config: Base URL: Open Router API. API key: free Open Router key. Default Sonnet: free. Default Opus: free. Default Haiku: free. Small fast model: free. Subagent model: free. Free. Free. Free. Free. Free across the board. Same interface. Same commands. Same workflow. Zero cost. Copy the config from the video. Paste it. Save $200/month. Starting today. Right now. ↓ When to use which: Ollama (local): Best for privacy. Best for offline work. Best for unlimited usage. Best if you have decent hardware. Open Router (cloud): Best for weak machines. Best for instant setup. Best for trying different models. Best if you don't want to manage anything. Both methods: Best for 80% of your daily work. Still use paid Claude for: Complex architecture. Multi-file refactoring. Deep reasoning tasks. The 20% that actually needs it. $20/month instead of $200/month. Same output. 90% less cost. ↓ The math that should make you angry. You (current): $200-$500/month. $2,400-$6,000/year. $7,200-$18,000 over 3 years. You (after this video): $20-$50/month. $240-$600/year. $720-$1,800 over 3 years. Savings over 3 years: $6,480-$16,200. That's a used car. That's seed money. That's 6 months of rent. All from one 25-minute video. All from 15 minutes of configuration. Highest ROI 25 minutes you'll spend this year. ↓ The limitations. I won't lie to you. Open source is not Opus. Not as smart on complex reasoning. Not as good at long-context tasks. Makes more mistakes on nuanced problems. But they are: Free. Capable. Getting better monthly. Good enough for 80% of daily work. Smart cost management isn't being cheap. It's being strategic. Expensive tool when it matters. Free tool when it doesn't. ↓ The one-person billion-dollar company is coming. $401M in year one proved it's possible. The building blocks: AI that codes: Claude Code. Way to run it free: this video. Distribution: the internet. Customers: everyone. Only missing ingredient? Someone who builds. Not reads about building. Not saves posts about building. Not bookmarks videos about building. Builds. Tools are free. Knowledge is free. Opportunity is screaming. You're still "thinking about it." ↓ Your action plan: Tonight: Watch the video. Tomorrow morning: Set up Ollama or Open Router. Tomorrow afternoon: Build something. Anything. This week: Build a second thing. Faster. This month: Charge someone for it. One video. One setup. One weekend. $0 cost. Unlimited potential. Or keep paying $200/month for something you could get free. Keep consuming instead of building. Keep planning instead of shipping. Matthew Gallagher didn't plan a $401M company. He built it. Full video attached. Every method. Every config. Every tradeoff. 25 minutes. Your move. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses.
25:22

Matthew Gallagher Built a $401M Company in Year One with 2 People. And the tool behind it? Claude Code. This year he's on track for $1.8B. Sam Altman predicted this. It's happening now. The problem? It costs money. API credits stack up. Monthly bills keep growing. Every prompt eats your budget. Every project drains your wallet faster. Until now. Two methods. 99% cheaper. One is completely free. Forever. $0. Not a trial. This video breaks down both step by step. ↓ Let me put this in perspective. $100-$500. That's monthly. That's what you spend. That's $6,000/year on API credits. Just to use a tool you haven't shipped anything with. The $401M guy? Spending $0. Same capability. Shipping weekly. Different cost structure. Different results. Different life. I'm about to hand you his cost structure for free. ↓ Open source vs closed source. Pay attention. Closed source: Claude. GPT-4. Pay per token. Meter always running. Open source: Qwen. Llama. Mistral. Free to download. Free to run. Free forever. No meter. No tokens. No bill. Here's what nobody tells you: 80% of coding tasks? Open source handles them. More than handles them. Writes clean code. Debugs errors. Generates boilerplate. Handles routine work perfectly. You're paying premium prices for tasks that don't need premium intelligence. That's hiring a brain surgeon to put on a bandaid. Smart play: Free models for the 80%. Paid credits for the 20%. That's what the $401M guy does. That's what this video teaches you. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 1: Ollama. Local. Free. Forever. Download it. Pull a model. Point Claude Code at it. Done. No internet needed. No API keys required. No monthly subscription. No token counting ever. No bill. Today. Tomorrow. Ever. Your data never leaves your computer. Complete privacy. Complete freedom. Claude Code thinks it's talking to the cloud. It's talking to your laptop. For $0. The video walks through every step: Every config file. Every variable. Every command. Every click. If you can follow a recipe, you can do this. People who set this up 3 months ago? Saved $300-$1,500 since then. Workflow didn't change one bit. ↓ Hardware you need: 16GB RAM: 7B models run smooth. 32GB RAM: 32B models run comfortable. 64GB + GPU: biggest models available. No GPU? Still works. Just slower. Few extra seconds. That's it. Your $1,500 laptop is sitting there running Chrome and Spotify. Put it to work saving you $200/month instead. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses. ↓ Method 2: Open Router. Free Cloud. No Hardware. Weak machine? Don't want local setup? This method is for you. Free AI models in the cloud. No download. No hardware. Configure Claude Code to route through Open Router. The config: Base URL: Open Router API. API key: free Open Router key. Default Sonnet: free. Default Opus: free. Default Haiku: free. Small fast model: free. Subagent model: free. Free. Free. Free. Free. Free across the board. Same interface. Same commands. Same workflow. Zero cost. Copy the config from the video. Paste it. Save $200/month. Starting today. Right now. ↓ When to use which: Ollama (local): Best for privacy. Best for offline work. Best for unlimited usage. Best if you have decent hardware. Open Router (cloud): Best for weak machines. Best for instant setup. Best for trying different models. Best if you don't want to manage anything. Both methods: Best for 80% of your daily work. Still use paid Claude for: Complex architecture. Multi-file refactoring. Deep reasoning tasks. The 20% that actually needs it. $20/month instead of $200/month. Same output. 90% less cost. ↓ The math that should make you angry. You (current): $200-$500/month. $2,400-$6,000/year. $7,200-$18,000 over 3 years. You (after this video): $20-$50/month. $240-$600/year. $720-$1,800 over 3 years. Savings over 3 years: $6,480-$16,200. That's a used car. That's seed money. That's 6 months of rent. All from one 25-minute video. All from 15 minutes of configuration. Highest ROI 25 minutes you'll spend this year. ↓ The limitations. I won't lie to you. Open source is not Opus. Not as smart on complex reasoning. Not as good at long-context tasks. Makes more mistakes on nuanced problems. But they are: Free. Capable. Getting better monthly. Good enough for 80% of daily work. Smart cost management isn't being cheap. It's being strategic. Expensive tool when it matters. Free tool when it doesn't. ↓ The one-person billion-dollar company is coming. $401M in year one proved it's possible. The building blocks: AI that codes: Claude Code. Way to run it free: this video. Distribution: the internet. Customers: everyone. Only missing ingredient? Someone who builds. Not reads about building. Not saves posts about building. Not bookmarks videos about building. Builds. Tools are free. Knowledge is free. Opportunity is screaming. You're still "thinking about it." ↓ Your action plan: Tonight: Watch the video. Tomorrow morning: Set up Ollama or Open Router. Tomorrow afternoon: Build something. Anything. This week: Build a second thing. Faster. This month: Charge someone for it. One video. One setup. One weekend. $0 cost. Unlimited potential. Or keep paying $200/month for something you could get free. Keep consuming instead of building. Keep planning instead of shipping. Matthew Gallagher didn't plan a $401M company. He built it. Full video attached. Every method. Every config. Every tradeoff. 25 minutes. Your move. Follow Himanshu Kumar for more breakdowns that turn free tools into real businesses.

Himanshu Kumar

13,677 Aufrufe • vor 4 Monaten

GeoLibre v2.1 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release adds a QGIS-style Browser panel for exploring data from one place, animated route playback with video export, Wikipedia knowledge cards, and Mapillary street-level images. What's new in v2.1.0 - Browser panel (Data Source Manager): explore and add data from one place. Browse map services, connect to PostGIS databases and drill into their schemas and tables, open local files, and save Favorites, all with full keyboard navigation. - Route animation: send a marker along any line layer, follow the track in 3D with camera controls, and export the whole animation as an MP4 video. - In-browser object detection: run ONNX/YOLO models directly in the webview, with no server or Python required. - Map recording: capture the map canvas, or a drawn bounding box, straight to a video file from the browser. - Native-resolution photo viewer: view geotagged photos at full detail right on the map. - Wikipedia knowledge cards: click any place to pull up its Wikipedia summary and info card. - More planetary basemaps: USGS imagery for nine more celestial bodies, plus a new OpenAerialMap imagery search plugin. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre
1:49

GeoLibre v2.1 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release adds a QGIS-style Browser panel for exploring data from one place, animated route playback with video export, Wikipedia knowledge cards, and Mapillary street-level images. What's new in v2.1.0 - Browser panel (Data Source Manager): explore and add data from one place. Browse map services, connect to PostGIS databases and drill into their schemas and tables, open local files, and save Favorites, all with full keyboard navigation. - Route animation: send a marker along any line layer, follow the track in 3D with camera controls, and export the whole animation as an MP4 video. - In-browser object detection: run ONNX/YOLO models directly in the webview, with no server or Python required. - Map recording: capture the map canvas, or a drawn bounding box, straight to a video file from the browser. - Native-resolution photo viewer: view geotagged photos at full detail right on the map. - Wikipedia knowledge cards: click any place to pull up its Wikipedia summary and info card. - More planetary basemaps: USGS imagery for nine more celestial bodies, plus a new OpenAerialMap imagery search plugin. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #RemoteSensing #DataVisualization #MapLibre #GeoLibre

Qiusheng Wu

12,139 Aufrufe • vor 1 Monat

Cammy Devlin: Progress Play This again, is not a video to bash him, it's hard being a Rangers player & adapting to it, the attention and analysis from people like myself. Everything I do video wise, is the stuff I'd be open and honest with my own clients in professional football and with the same demands to "Play". Devlin is only just on & being a sub is not ideal but there are 3 occasions before his red card where he can do so much more with "little adjustments". The ball is with Dujon Sterling (RB): > Adjust to the Highest Central Point to support > Scan for the "Next Pass" before receiving > Explore Forward & Central Options First If you have done all that and still need to go back to where it came from, fine, do that but then re-adjust to get it forward or switched. Playing safe and being passive has contributed to the situation where he is trying to crash the box.
2:24

Cammy Devlin: Progress Play This again, is not a video to bash him, it's hard being a Rangers player & adapting to it, the attention and analysis from people like myself. Everything I do video wise, is the stuff I'd be open and honest with my own clients in professional football and with the same demands to "Play". Devlin is only just on & being a sub is not ideal but there are 3 occasions before his red card where he can do so much more with "little adjustments". The ball is with Dujon Sterling (RB): > Adjust to the Highest Central Point to support > Scan for the "Next Pass" before receiving > Explore Forward & Central Options First If you have done all that and still need to go back to where it came from, fine, do that but then re-adjust to get it forward or switched. Playing safe and being passive has contributed to the situation where he is trying to crash the box.

John Walker

28,470 Aufrufe • vor 8 Tagen

GeoLibre v1.4.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings field data collection, image georeferencing, and a full Jupyter notebook experience right next to the map. What's new in v1.4.0 - Jupyter beside the map: Run notebooks alongside your map (JupyterLite in the browser, JupyterLab on the desktop). - Field data collection: Capture point observations in the field with custom, configurable forms. - Georeferencer: Pin a scanned map or image to the map using ground control points. - Spectral Index toolbox: Compute NDVI, NDWI, EVI, and more directly from your rasters. - Better internationalization: Correct rendering of right-to-left basemap labels (Arabic, Hebrew). - More reliable data handling: Render GeoPackages without GDAL's WASM thread crash. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python
1:12

GeoLibre v1.4.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release brings field data collection, image georeferencing, and a full Jupyter notebook experience right next to the map. What's new in v1.4.0 - Jupyter beside the map: Run notebooks alongside your map (JupyterLite in the browser, JupyterLab on the desktop). - Field data collection: Capture point observations in the field with custom, configurable forms. - Georeferencer: Pin a scanned map or image to the map using ground control points. - Spectral Index toolbox: Compute NDVI, NDWI, EVI, and more directly from your rasters. - Better internationalization: Correct rendering of right-to-left basemap labels (Arabic, Hebrew). - More reliable data handling: Render GeoPackages without GDAL's WASM thread crash. Try it out - Live demo: - GitHub: - Documentation: - Release notes: #GIS #GeospatialData #OpenSource #RemoteSensing #DataVisualization #MapLibre #Python

Qiusheng Wu

29,789 Aufrufe • vor 2 Monaten

🎉 INTRODUCING: 🪞 welcome to The Looking Glass: a spatiotemporal ai image + video engine! traverse the history of the world through the eyes of multimodal models; anytime, anywhere, any style 🙌 you know the feeling of standing somewhere old and trying to SEE it? the street before the street, the harbour before the concrete, the hill before the city? The Looking Glass gives you a vehicle. to operate this time-travel-adjacent engine, simply choose a point anywhere on the globe at any point in time (past, present, or future), and pull the lever! it creates an image of what it imagines was happening at that exact spot, in that exact year, at that exact hour, then (optionally) brings it to life as video. it's not a perfect science, but I expect the quality will improve as the prompts get refined and model capabilities progress over time. although the backend boils down to simple API calls, the experience feels akin to multidimensional travel! hallucinated? perhaps! it's about the journey 😁 REPO: 🐉 one page. no backend. no account. multiple model options. runs on OpenRouter. your key, your browser, your archive. and as always, totally free to use and open source under AGPL-3.0 🤗 hope you enjoy the demo video below (sped up 2x cause I know how attention spans be these days) EX LOCO, PER VITRUM, AD OMNE TEMPUS from place, through glass, to all time ⊰-•-•✧•-•-⦑/L\O/V\E/,\P/L\I/N\Y/⦒-•-•✧•-•-⊱
1:12

🎉 INTRODUCING: 🪞 welcome to The Looking Glass: a spatiotemporal ai image + video engine! traverse the history of the world through the eyes of multimodal models; anytime, anywhere, any style 🙌 you know the feeling of standing somewhere old and trying to SEE it? the street before the street, the harbour before the concrete, the hill before the city? The Looking Glass gives you a vehicle. to operate this time-travel-adjacent engine, simply choose a point anywhere on the globe at any point in time (past, present, or future), and pull the lever! it creates an image of what it imagines was happening at that exact spot, in that exact year, at that exact hour, then (optionally) brings it to life as video. it's not a perfect science, but I expect the quality will improve as the prompts get refined and model capabilities progress over time. although the backend boils down to simple API calls, the experience feels akin to multidimensional travel! hallucinated? perhaps! it's about the journey 😁 REPO: 🐉 one page. no backend. no account. multiple model options. runs on OpenRouter. your key, your browser, your archive. and as always, totally free to use and open source under AGPL-3.0 🤗 hope you enjoy the demo video below (sped up 2x cause I know how attention spans be these days) EX LOCO, PER VITRUM, AD OMNE TEMPUS from place, through glass, to all time ⊰-•-•✧•-•-⦑/L\O/V\E/,\P/L\I/N\Y/⦒-•-•✧•-•-⊱

Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭

321,817 Aufrufe • vor 28 Tagen

google just released 15 AI tools that are completely FREE and can save thousands of $$$ every single monthly. all open-source. MIT licensed. save this in your bookmark." 1️⃣ pomelli ( builds your entire brand identity from just your website URL, then generates on-brand social posts, campaigns, and images. a free jasper + a junior brand marketer. no watermark, no gen cap in beta. 2️⃣ stitch ( describe an interface, get production-ready HTML/CSS/Tailwind + a figma export. google's free figma killer. 350 designs a month without paying a cent. 3️⃣ opal ( build no-code AI mini-apps and multi-step workflows just by describing them in plain english. basically a free n8n with Gemini baked in. no usage caps. 4️⃣ antigravity ( agentic IDE that plans, edits across files, and builds full apps from a single prompt. the "cursor-killer," free tier runs Gemini 3 Pro + Claude Sonnet 4.5. 5️⃣ mixboard ( canva x pinterest for AI. generate and remix images into moodboards, then edit right on the canvas with plain language. free while in beta. 6️⃣ disco ( turns your messy open browser tabs into custom interactive AI apps. competitor tabs become a comparison matrix, travel tabs become an itinerary. zero code. 7️⃣ notebookLM ( upload PDFs, videos, and notes, get instant summaries, mind maps, quizzes, even a podcast of your own material. replaces notion AI + perplexity + readwise. 8️⃣ Learn Your Way ( turns any topic into a personalized, AI-built course. immersive text, audio lessons, mind maps, and quizzes adapted to how you actually learn. free tutoring. 🔟 Google AI Studio ( prototype and ship AI apps in seconds with a free API key and a 1M-token context window. replaces the openai playground + paid API credits. 1️⃣1️⃣ Jules ( assign it a github issue, it spins up a VM, writes a plan, makes the changes, and opens a PR. a free devin. 15 tasks a day. 1️⃣2️⃣ Gemini CLI ( claude-code in your terminal. reads your codebase, runs commands, ships PRs. genuinely open source (Apache 2.0) and free. 1️⃣3️⃣ Code Wiki ( point it at any public github repo, get a living, self-updating wiki with architecture diagrams and a Gemini chat, every section hyperlinked to the code. 1️⃣4️⃣ Firebase Studio ( AI cockpit for your backend and cloud logic. heads up: existing users only, google is winding it down, so don't start a new project here. 1️⃣5️⃣ Gemini Code Assist ( free github copilot: 180k code completions a month + AI code reviews in VS Code, JetBrains, and github. the free tier that actually out-specs copilot. Follow me and turn on 🔔 post notifications.
0:47

google just released 15 AI tools that are completely FREE and can save thousands of $$$ every single monthly. all open-source. MIT licensed. save this in your bookmark." 1️⃣ pomelli ( builds your entire brand identity from just your website URL, then generates on-brand social posts, campaigns, and images. a free jasper + a junior brand marketer. no watermark, no gen cap in beta. 2️⃣ stitch ( describe an interface, get production-ready HTML/CSS/Tailwind + a figma export. google's free figma killer. 350 designs a month without paying a cent. 3️⃣ opal ( build no-code AI mini-apps and multi-step workflows just by describing them in plain english. basically a free n8n with Gemini baked in. no usage caps. 4️⃣ antigravity ( agentic IDE that plans, edits across files, and builds full apps from a single prompt. the "cursor-killer," free tier runs Gemini 3 Pro + Claude Sonnet 4.5. 5️⃣ mixboard ( canva x pinterest for AI. generate and remix images into moodboards, then edit right on the canvas with plain language. free while in beta. 6️⃣ disco ( turns your messy open browser tabs into custom interactive AI apps. competitor tabs become a comparison matrix, travel tabs become an itinerary. zero code. 7️⃣ notebookLM ( upload PDFs, videos, and notes, get instant summaries, mind maps, quizzes, even a podcast of your own material. replaces notion AI + perplexity + readwise. 8️⃣ Learn Your Way ( turns any topic into a personalized, AI-built course. immersive text, audio lessons, mind maps, and quizzes adapted to how you actually learn. free tutoring. 🔟 Google AI Studio ( prototype and ship AI apps in seconds with a free API key and a 1M-token context window. replaces the openai playground + paid API credits. 1️⃣1️⃣ Jules ( assign it a github issue, it spins up a VM, writes a plan, makes the changes, and opens a PR. a free devin. 15 tasks a day. 1️⃣2️⃣ Gemini CLI ( claude-code in your terminal. reads your codebase, runs commands, ships PRs. genuinely open source (Apache 2.0) and free. 1️⃣3️⃣ Code Wiki ( point it at any public github repo, get a living, self-updating wiki with architecture diagrams and a Gemini chat, every section hyperlinked to the code. 1️⃣4️⃣ Firebase Studio ( AI cockpit for your backend and cloud logic. heads up: existing users only, google is winding it down, so don't start a new project here. 1️⃣5️⃣ Gemini Code Assist ( free github copilot: 180k code completions a month + AI code reviews in VS Code, JetBrains, and github. the free tier that actually out-specs copilot. Follow me and turn on 🔔 post notifications.

m0h

87,269 Aufrufe • vor 1 Monat

I just called my Mom from my smart glasses. Introducing video calls on Mentra Live smart glasses. Join Google Meet, Teams, or Zoom call directly from your glasses. Imagine field workers like HVAC techs, electricians, or mechanics calling into an expert remotely. The expert can see what they see and have a live voice call with them, getting help exactly when they need it. You might have seen a demo like this before... so what's different here? It's all about wearability. Classical enterprise smart glasses are heavy, uncomfortable, and never make it past pilot pergatory. Mentra Live are super lightweight and shaped like regular glasses. Workers can wear them all day, and the battery lasts for a full shift. Also, since MentraOS is open-source, you can build your own apps, deploy on-prem, and stay fully compliant. Video calling is rolling out in general availability to Mentra Live users later this month.
0:27

I just called my Mom from my smart glasses. Introducing video calls on Mentra Live smart glasses. Join Google Meet, Teams, or Zoom call directly from your glasses. Imagine field workers like HVAC techs, electricians, or mechanics calling into an expert remotely. The expert can see what they see and have a live voice call with them, getting help exactly when they need it. You might have seen a demo like this before... so what's different here? It's all about wearability. Classical enterprise smart glasses are heavy, uncomfortable, and never make it past pilot pergatory. Mentra Live are super lightweight and shaped like regular glasses. Workers can wear them all day, and the battery lasts for a full shift. Also, since MentraOS is open-source, you can build your own apps, deploy on-prem, and stay fully compliant. Video calling is rolling out in general availability to Mentra Live users later this month.

cayden 凯登

20,344 Aufrufe • vor 4 Monaten