Hands-on guides, protocol deep dives, and field notes on tunnels, SSH, reverse proxies, self-hosting, self-hosted LLMs, and AI - from the people building Pinggy.
A single-file C engine called Colibrì streams GLM-5.2's 744B mixture-of-experts weights off an NVMe drive to run the full model on 25 GB of RAM at 0.05-2 tokens/second. Here's how it works, what Hacker News made of it, and how to check on a queued run from your phone with Pinggy.
How to get free access to AI model APIs on OpenRouter in 2026 - real rate limits, the current free model catalog (Nemotron 3 Ultra, Owl Alpha, Tencent Hy3), code examples, and how the $10 credit threshold works.
Cloudflare shipped Drop on July 8, 2026: drag a folder into the browser, get a live URL with no account. Here's what it actually does, its file and time limits, and why it can't replace a tunnel for anything with a backend.
A working OTP flow proves your app sends and checks a code. It doesn't prove your signup holds up against bots. Here's how to test auth for fraud resistance locally with a Pinggy tunnel.
Meetily picked up 2,500+ GitHub stars in a day with a self-hosted AI meeting assistant. Here's what it does, how the Rust/Whisper/Ollama stack fits together, and how to share a running instance with Pinggy.
curl is refusing all vulnerability reports for the month of July 2026 after AI-generated 'slop' reports pushed its confirmed-vulnerability rate below 5%. Here's the timeline, the numbers, and why this is bigger than one project.
HackerRank open-sourced its AI hiring agent and the same resume scores differently every run, from 66 to 99. Here's how the pipeline works, why it's non-deterministic, and how hidden PDF text can inflate a score.
A look at why geolocation testing matters, the testing dimensions it covers, and the domains where checking a website from different locations makes the difference.
A technical deep-dive into webhooks: what they are, how they work, how to build a secure receiver with HMAC signature validation, handle retries idempotently, and test locally during development.
OpenAI and Broadcom unveiled Jalapeño, OpenAI's first custom ASIC targeting 50% cheaper inference than Nvidia GPUs. Here's what the chip is, how it compares, and what it means for API costs and the broader silicon war.
