🐫 OCaml

Functional language, Static typing, Pattern matching, ML family

Single Sign On for Furries
cendyne.dev·1d·
Discuss: Lobsters
🏠Home Manager
Takeaway: a work-stealing task queue library for Rust
bal-e.org·5d·
Discuss: Lobsters, Hacker News, r/programming
0️⃣Zero-Copy
Behind the Blog: Exercises in OSINT and Storage Pains
404media.co·1d
🦀Rust
Poisoned at 0.1%
hackernoon.com·1d
0️⃣Zero-Copy
[BUG] Claude says "You're absolutely right!" about everything
github.com·3d·
Discuss: Hacker News
🦀Rust
Agentgateway: a fast, feature rich, Kubernetes native proxy
reddit.com·2d·
Discuss: r/rust
❄️Nix Flakes
Bistochastically private release of longitudinal data
arxiv.org·1d
λFunctional Programming
Estimating from No Data: Deriving a Continuous Score from Categories
towardsdatascience.com·4d
λFunctional Programming
Running Claude Code inside your dev containers
dev.to·2d·
Discuss: DEV
🏠Home Manager
The Day Your AI Therapist Testifies Against You
hackernoon.com·1d
🪶suckless
The journey of building a privacy-first Android app to 80+ stars and 100+ testers
dev.to·2d·
Discuss: DEV
🪶suckless
Old Stats, New Tricks: How PCIC Builds on Decades of Recommendation Research
hackernoon.com·5d
λFunctional Programming
Adaptive Bio-Integrated Pod Suspension Systems via Multi-Objective Reinforcement Learning
dev.to·3d·
Discuss: DEV
🕸️WASM
Deploying Medical Semantic Search with Lightweight MLOps Pipelines
dev.to·5d·
Discuss: DEV
λFunctional Programming
Perceptual Reality Transformer: Neural Architectures for Simulating Neurological Perception Conditions
arxiv.org·2d
λFunctional Programming
The Debugging Trick No One Talks About: Letting AI Guess Before You Do
dev.to·2d·
Discuss: DEV
0️⃣Zero-Copy
Real-World Applications of Agentic AI in Business Process Automation
dev.to·2d·
Discuss: DEV
🔍Parsers
Automated Histone Modification Dynamics Modeling via Multi-Modal Data Integration
dev.to·6d·
Discuss: DEV
🔍Parsers
Building Love Studios NYC — the story, the stack (Python + C++), the problems, and our roadmap
dev.to·1d·
Discuss: DEV
🕸️WASM
Building a Neural Network is Easy. The Hard Part is Making It Think
dev.to·5d·
Discuss: DEV
λFunctional Programming