Caroline Vrauwdeunt ✌️☮️

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Caroline Vrauwdeunt ✌️☮️

Caroline Vrauwdeunt ✌️☮️

@andrsnu

CEO @ANDRS_Projects | Leader in AI, Travel & Fin Tech | #Dare2Create Advocate

#AMS🌷+ #KWAwesome 🍁 + 🌍🚀🌕 Katılım Temmuz 2012
654 Takip Edilen346 Takipçiler
Sick
Sick@sickdotdev·
Builders only. Drop your product. No pitch. Just the link. 50k builders are watching. ↓
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Charly Wargnier
Charly Wargnier@DataChaz·
Holy cow. Someone literally built a Claude Code skill that clones any website in one prompt 🤯 Everyone tries to clone sites by grabbing screenshots and hoping for the best. That barely gets you halfway there. This new skill brings a MUCH smarter way! It directs Claude Code's Chrome MCP straight to the source, pulling live assets and code directly. → No more guessing exact fonts. → No more eyeballing component sizes. → No more faking animations from screenshots. Here is how the skill automates the magic behind the scenes: #1 Opens Chrome MCP and navigates directly to the target website #2 Extracts the visual foundation (fonts, colors, layout, patterns) while taking screenshots #3 Builds the clone's core from that collected data #4 Deploys parallel agents to clone separate sections simultaneously #5 Reviews the agents' code, merges everything, and finalizes the clone One prompt gets you a fully cloned website. The best part? It's 100% free and open-source. Link to the repo in 🧵↓
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Caroline Vrauwdeunt ✌️☮️ retweetledi
Sukh Sroay
Sukh Sroay@sukh_saroy·
🚨Shocking: Microsoft just open sourced a Python tool that converts any file into Markdown for LLMs. It's called MarkItDown. And it's not a document formatter. It's a lightweight conversion utility built specifically for AI pipelines - takes any file you throw at it and outputs clean Markdown that LLMs can actually read and reason about. Here's what it converts: → PDF - full text extraction with structure preserved → PowerPoint - slides, headings, bullet points → Word - full document with lists, tables, links → Excel - tabular data as Markdown tables → Images - EXIF metadata + OCR text extraction → Audio - EXIF metadata + speech transcription → YouTube URLs - fetches transcription automatically → HTML, CSV, JSON, XML, EPubs, ZIP files - all supported Here's the wildest part: LLMs natively speak Markdown. They've been trained on vast amounts of it. When you convert your PDF or Excel file to Markdown before feeding it to an LLM, you get better extraction, better reasoning, and more token-efficient output than raw text or HTML. One command: `markitdown path-to-file.pdf > document.md` Also ships as an MCP server for Claude Desktop integration. 87K GitHub stars. Used by 2,200+ projects. Built by the AutoGen team at Microsoft. 100% Open Source. MIT License. (Link in the comments)
Sukh Sroay tweet media
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Caroline Vrauwdeunt ✌️☮️
THIS 👇
Hridoy Rehman@hridoyreh

100+ places to launch your startup: 1. Product Hunt 2. BetaList 3. TrustMRR 4. Uneed 5. TinyLaunch 6. Indie Hackers 7. Hacker News 8. Tiny Startup 9. PeerPush 10. SideProjectors 11. DevHunt 12. Launching Next 13. Microlaunch 14. Launch Directories 15. StartupBase 16. ShowMeBestAI 17. Trendy Startups 18. Software Advice 19. There's an AI for that 20. AlternativeTo 21. OpenAlternative 22. SaaSHub 23. Toolfolio 24. LibHunt 25. SaaS Genius 26. FoundrList 27. Stacker News 28. PitchWall 29. API List 30. MakerPad 31. Dan Recommends 32. Startup Buffer 33. AppSumo 34. SEO Wins 35. RocketHub 36. StackSocial 37. SaaS Mantra 38. SaaS Warrior 39. LTD Hunt 40. KEN Moo 41. Prime Club 42. SaaSZilla 43. Fazier 44. Peerlist 45. Next Gen Tools 46. Sustainability Softwares 47. Saas Baba 48. PromptZone 49. Futurepedia 50. Toolkitly 51. LaunchIgniter 52. Firsto 53. Indie Tools 54. Manta 55. Indie Deals 56. PayOnceUseForever 57. Slocco 58. ToolFame 59. GPTStore 60. AlterOpen 61. SaaS Gallery 62. Aura Plus Plus 63. That AI Collection 64. BasedTools 65. SaaS Pirate 66. Product Canyon 67. Deal Mirror 68. Dealify 69. Goodfirms 70. AI Agent Store 71. BroUseAI 72. Altern 73. BestWebDesignTools 74. MadGenius 75. BotsFloor 76. AIDir Wiki 77. Look AI Tools 78. The AI Generation 79. Waild World 80. Wavel 81. Indie Products 82. Invent List 83. Hack the Prompt 84. Startup Heroes 85. AI Marketing Directory 86. RankYourAI 87. EarlyHunt 88. Tekpon 89. Dokey AI 90. Appscribed 91. Open Tools 92. SEOFAI 93. Startups FYI 94. AI Tool Trek 95. Powerusers 96. AI Parabellum 97. Serchen 98. RobinGood 99. Affiliate Watch 100. IndieHunt 101. Reviano 102. Nocode List 103. Software World 104. AIxploria 105. Ctrlalt 106. AI Hunter 107. Public APIs

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Caroline Vrauwdeunt ✌️☮️
Just added the ability to render mini charts in to Money Magician’s chat function “M”. Little horizontal bar charts or donut pie charts for situations where comparisons or breakdowns can clarify your money. For visual beings, like me ;) #freelancers #smallbusiness #creators
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Caroline Vrauwdeunt ✌️☮️
the #data model. The #MCP is a window into that. It's not a replacement for it. ❉ And we test obsessively. Because the models change. Claude today is not #Claude in six months. Model updates shift behaviour in ways that are subtle and sometimes financially consequential.
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Caroline Vrauwdeunt ✌️☮️ retweetledi
Rowan Cheung
Rowan Cheung@rowancheung·
Every Pokémon Go player unknowingly trained future robots. Over the years, players photographed 30 billion images from cities around the world. And now that data is teaching delivery robots to navigate streets. Niantic (company behind Pokémon Go), spun out an AI company called Niantic Spatial that's turning years of player data into a visual positioning system for machines. When 500 million people installed the game and pointed their phones at buildings, landmarks, and street corners, they were also capturing detailed location data that normal GPS can't match: > GPS signals bounce off skyscrapers and lose accuracy by up to 50 meters in dense cities. > That's a dealbreaker for sidewalk delivery robots that need to stop at exactly the right point. > Niantic Spatial trained a model on those 30 billion images to pinpoint a robot's exact location based on what its cameras see, not satellite signals. > Delivery startup Coco Robotics is the first partner, using the system to guide thousands of robots across LA, Chicago, and Miami. Don't think anyone thought they were training robots when they were chasing Pikachu during COVID.
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