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🧮 Datalog Engines

Soufflé, Bottom-up Evaluation, Recursive Queries, Graph Analysis

Digg v4 and lessons not learned
dfarq.homeip.net·17h
📰RSS Archaeology
Digital Forensics Round-Up, August 27 2025
forensicfocus.com·13h
🔬Archive Forensics
US startup set to test new CPU that could herald the era of Exaflop on a single chip - I still can't believe Neurophos's OPU claims to deliver 234 POPS with a 1...
techradar.com·7h
🌊Stream Processing
Why is my "optimized" O(1) space Python code slower than the "basic" O(n) space version?
leetcode.com·1d·
Discuss: r/programming
🔄Burrows-Wheeler
We Built It, Then We Freed It: Telemetry Harbor Goes Open Source
telemetryharbor.com·8h·
Discuss: Hacker News, r/golang, r/opensource, r/programming, r/selfhosted, r/webdev
🔓Open Source Software
Unveiling Ruby Debuggers: byebug, debug gem, and the Power of RubyMine
blog.jetbrains.com·1d·
Discuss: Hacker News
👁️System Observability
Built a full-stack QR code app with auth in 15 minutes using InstantDB
news.ycombinator.com·1d·
Discuss: Hacker News
📱QR Archaeology
Agents for the network admin: New AI features from HPE Juniper
heise.de·1d
👁️Observatory Systems
Types of Dimensions in a Data Warehouse (Beginner’s Guide)
dev.to·1d·
Discuss: DEV
📇Indexing Strategies
Adaptive Spectral Rendering via Dynamic Metamaterial Optimization for High-Efficiency OLED Displays
dev.to·10h·
Discuss: DEV
🌈Color Archaeology
Building Chrome Dinosaur Game in Pygame (Part 0: Intro & Setup)
dev.to·23h·
Discuss: DEV
🎮Game Decompilation
Joint Time-Position Statistics and Fisher Information in Drift-Diffusion Molecular Channels
arxiv.org·1d
📡Information theory
The Debugging Mindset That Turned Me Into a Better Coder
dev.to·23h·
Discuss: DEV
👁️System Observability
Thank You for 500 Followers + A Special Giveaway
dev.to·1d·
Discuss: DEV
📡RSS Automation
Hosting Private AI with Railway
dev.to·4h·
Discuss: DEV
💻Local LLMs
Beyond the Hype: A Technical Analysis of Why AI-Generated Content Struggles to Build Authentic Engagement
dev.to·1d·
Discuss: DEV
🤖AI Curation
Go 1.25 Highlights: How Generics and Performance Define the Future of Go
dev.to·1d·
Discuss: DEV
🔌Interface Evolution
Bootstrapping Conditional Retrieval for User-to-Item Recommendations
arxiv.org·2d
⚖️Feed Ranking
Factor Informed Double Deep Learning For Average Treatment Effect Estimation
arxiv.org·2d
🧠Machine Learning
Stop Being a Replaceable Printer
dev.to·19h·
Discuss: DEV
🔄Reproducible Builds
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