Offensive OSINT s05e10 - Interactive investigative stories part 1
offensiveosint.ioยท2d
๐ŸŒWARC Forensics
๐Ÿง  My Journey to Building the Perfect Homelab: Choosing the Right Single Board Computer Server
reddit.comยท1dยท
Discuss: r/homelab
๐Ÿ HomeLab
YouTube gets ~5% CTR lift on Shorts by replacing embedding tables with Semantic IDs
shaped.aiยท1d
๐Ÿ“ŠFeed Optimization
Making GitHub Issues Search Suck Less with BigQuery, Vertex AI and CloudQuery
cloudquery.ioยท1dยท
Discuss: Hacker News
๐ŸŒFederated Search
Tech With Tim: Python Web Scraping: A Million Dollar Project Idea - FULL Build/Tutorial
vibe.forem.comยท1dยท
Discuss: DEV
๐Ÿ–ฅ๏ธModern Terminals
Connecting Cloud Apps to Industrial Equipment with Tailscale
wedgworth.devยท1dยท
Discuss: Hacker News
๐Ÿ Homelab Orchestration
A new breed of analyzers
daniel.haxx.seยท22hยท
๐Ÿ›Fuzzing
AI Reddit Sensational Video Summarizer & Shorts Extractor:
dev.toยท13hยท
Discuss: DEV
๐Ÿค–Archive Automation
CubicLog โ€“ A single-binary logging server with zero-config smart analytics
github.comยท1dยท
Discuss: Hacker News
๐Ÿ“Log Parsing
๐Ÿง  Real-Time Smart Speech Assistant with Python, Whisper & LLMs
dev.toยท13hยท
Discuss: DEV
๐ŸŽ™๏ธWhisper
AgentAsk: Multi-Agent Systems Need to Ask
arxiv.orgยท1d
๐ŸงฎKolmogorov Complexity
Building Scalable AI-Powered Customer Support Systems: A Technical Deep Dive
dev.toยท1dยท
Discuss: DEV
๐Ÿ”ŒInterface Evolution
Introducing Bite Genie: Turn Restaurant Photos Into Recipes You Can Actually Cook
dev.toยท5hยท
Discuss: DEV
๐ŸŒ€Brotli Internals
Building on vibes: Lessons from three years with LLMs
world.hey.comยท2dยท
Discuss: Hacker News
๐ŸŒ€Brotli Internals
Show HN: Nanowakeword โ€“ Automates custom wake word model training
github.comยท22hยท
Discuss: Hacker News
๐ŸŽ™๏ธWhisper
Introducing Honey Nudger, and Why We're Launching with a Founder's Circle
dev.toยท5hยท
Discuss: DEV
๐Ÿค–AI Curation
Tech With Tim: Why 1M People Tried This AI Coding Tool (Full Vibe Coding Tutorial)
dev.toยท10hยท
Discuss: DEV
๐Ÿš€Indie Hacking
Retentive Relevance: Capturing Long-Term User Value in Recommendation Systems
arxiv.orgยท1d
๐ŸŽฏContent Recommendation
Building Self-Correcting Database Agents with Meta's Llama-4-Scout: From Natural Language to SQL Insights
dev.toยท1dยท
Discuss: DEV
๐Ÿ—„๏ธDatabase Internals
IKNet: Interpretable Stock Price Prediction via Keyword-Guided Integration of News and Technical Indicators
arxiv.orgยท1d
๐Ÿง Learned Indexing