This is crazy good.. if you're building your first product, don't look for a "new" idea - Just go down this list - Pick what you like - Make your own version of it Different niche/geography/angle 100 validated business ideas - already making money $47K to $7.6M Stripe

It's hard to extract data from documents accurately. Even frontier models hallucinate. We found that including markdown and images improved accuracy significantly on a set of challenging invoices.

100% browser-based "vibe coding" with Claude Code 1. Create a blank GitHub repo 2. Connect it in Claude Code (web or mobile) 3. Link the repo to Netlify or Vercel for auto-deployment 4. Ask Claude Code to build your app 5. Create a Pull Request (don’t merge) — this triggers a

Alibaba-EI build a layout-aware system that extracts resume data with top-tier accuracy — powered by a fine-tuned 0.6B Qwen3. ✅ High precision ✅ Ultra-fast inference ✅ Scalable for real-world HR platforms 🔗 ModelScope: modelscope.cn/models/Alibaba… 🤗 Hugging

Microsoft. Google. AWS. Everyone's solving the same problem for Agents: How to build a real-time context layer for Agents across dozens of data sources? Airweave is an open-source context retrieval layer that solves this! Learn how this layer differs from RAG below:

The greatest thing you can do to improve confidence and self esteem is to to improve your neck posture. When your neck is out of allignment for 90-95% of the day - arteries,veins and nerves in the neck can become easily compressed - such a person feels anxious, insecure and is

bro created an entire 16-hour free youtube playlist on how to build a DeepSeek model from scratch. it goes over the papers, explains the theory, and implements the code. Syllabus: → attention mechanism fully explained → multi-head latent attention → grouped query attention

Swiss-army tool for scraping and extracting data from online assets, made for hackers

Advice for AI engineers 💡 A small Visual Language Model fine-tuned on your custom dataset is as accurate as GPT-5... ... and costs 50 times less. For example, LFM2-VL-3B by Liquid AI ↓

MCKINSEY JUST DROPPED THEIR 2025 AI REPORT. HERE’S THE TLDR: 1/ 90% of companies “use AI,” but 67% are still stuck in pilot mode. Corporate AI theater is alive and well lol. 2/ 62% of orgs are experimenting with AI agents, 23% are scaling AI agents. Most are in tech and

call-center-ai - Send a phone call from AI agent, in an API call. Or, directly call the bot from the configured phone number! github.com/microsoft/call…

👋 Super Excited to share our new OpenAI cookbook is now LIVE: 𝗦𝗲𝗹𝗳-𝗘𝘃𝗼𝗹𝘃𝗶𝗻𝗴 𝗔𝗴𝗲𝗻𝘁𝘀 - 𝗔 𝗖𝗼𝗼𝗸𝗯𝗼𝗼𝗸 𝗳𝗼𝗿 𝗔𝘂𝘁𝗼𝗻𝗼𝗺𝗼𝘂𝘀 𝗔𝗴𝗲𝗻𝘁 𝗥𝗲𝘁𝗿𝗮𝗶𝗻𝗶𝗻𝗴 🔗cookbook.openai.com/examples/partn… cc OpenAI Developers

GEPA cookbook by OpenAI and Bain&Company.

Can AI see, hear, and think like humans? NVIDIA presents OmniVinci, an open-source omni-modal LLM unifying vision, audio, and language. With OmniAlignNet, Temporal Embedding Grouping, and Constrained Rotary Time Embedding, it fuses modalities into one shared space—learning from

Turns out you can eliminate the purple LLM-slop design aesthetic with good prompting + claude skills. We wrote a short post on it with more details:

Kudos to Anthropic for a killer registry of Claude use cases. If you're struggling for inspiration for what to do with an LLM (any LLM) this is a great set of scenarios to sift through. claude.com/resources/use-…

We just ran the biggest AI Agent course ever. Here's the list of all the resources we released from Day-1 to Day-5. 100% free.

🏗️ Agents 2.0: From Shallow Loops to Deep Agents Made by the LangChain Community Philipp Schmid explores the architectural evolution to "Deep Agents" capable of complex, multi-step tasks using LangGraph's state management and orchestration capabilities. 📖 Read the full post:

For those interested in modern OCR using vision models Check out this article from folks at Hugging Face 👇 huggingface.co/blog/ocr-open-…

If you don't have a GPU, use the free T4 GPU provided by Colaboratory to learn open models Decent to run small models since it has 16gb VRAM. This is good enough for inference even for training Unsloth AI also has a lot of notebooks if you want to train your own open models,