Why Jupyter is still the de facto standard for exploring data, even though versioning it with git will make you want to smash your keyboard.
Sep 05 2026 · 5′ · Experiments · python · data science
Swiper has been the undisputed standard for touch carousels on the web for years. Zero dependencies, official wrappers for React, Vue and Angular, and transitions that feel genuinely native.
Jul 11 2026 · 5′ · Experiments · React · open source
Node.js isn't just "JavaScript on the server." It's a paradigm shift in how we handle I/O. Thirty years in tech taught me to recognize when something genuinely moves the ground beneath your feet.
Jul 08 2026 · 5′ · Experiments · javascript · node.js
Netron lets you inspect the architecture of any ML model — no Jupyter, no code, no drama. ONNX, PyTorch, TensorFlow: open it and see everything.
Jul 05 2026 · 5′ · Experiments · tooling · machine learning
Sniffnet is a cross-platform network traffic monitor written in Rust. Real UI, real-time charts, no security PhD required to understand what's actually going on.
Jul 02 2026 · 5′ · Experiments · networking · open source
XGBoost isn't a trend — it's the algorithm that won hundreds of ML competitions on tabular data. Why it's still the mandatory reference in 2025 and when you should reach for it.
Jun 29 2026 · 5′ · Experiments · machine learning · open source
PyTorch showed up in 6 independent awesome lists and the reason is simple: it won. This isn't hype — it's infrastructure. Here's why it made our list and when it actually makes sense to use it.
Jun 26 2026 · 5′ · Experiments · machine learning · deep learning
TensorFlow isn't sexy in 2025, but it's still the serious infrastructure behind deployment at scale. Why it made the list and when you actually need it.
Jun 23 2026 · 5′ · Experiments · machine learning · deep learning
lode reimplements DVC's hot path in Go with a non-negotiable invariant: byte-identical compatibility with DVC 3.x. Static binary, parallel hashing, state DB that avoids re-hashing. No migration, no lock-in. But pipelines are out of scope and benchmarks have context. Here's why that perimeter is an honest technical decision, not a limitation to hide.
Jun 21 2026 · 7′ · Experiments · machine learning · open source
Architecture, real systems, product decisions and technical lessons. Everything reviewed with my own judgment before it ships.
231 articles published