Engineering Behind Fast Analytics: Data in Motion
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💎Information Crystallography
Looking for Daybooks in the Archives
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🌳B-tree Archaeology
SIEVE: Effective Filtered Vector Search with Collection of Indexes
arxiv.org·18h
🗂️Vector Databases
Simply Plural Web App
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🌀Brotli Dictionary
Nordea Bank Abp (NRDBY) Q2 2025 Earnings Call Transcript
seekingalpha.com·6h
🇳🇴Norwegian Computing
Denmark taps Microsoft to build world’s most powerful quantum computer
thenextweb.com·11h
🇩🇰Danish Computing
I put 30TB in my home NAS, here’s why Seagate’s IronWolf Pro is perfect for massive storage
techradar.com·7h
🇸🇪Nordic Filesystems
Agent Memory with Spring AI & Redis
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⚡Redis Internals
Tracking Activity on your App Turn data into smart decisions and valuable insights
blog.codeminer42.com·3h
📊Feed Optimization
Types That Count: Journey across Qualitative and Quantitative Intersection Types
iris.unito.it·2d·
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🔍Type Inference
Vacancy for Research Projects Data Analyst at The National Archives (UK)
dpconline.org·1d
💾Data Preservation
Browsers battle over PDF capabilities
pdfa.org·1h
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ZFS Summer Article Roundup: Smart Hardware Advice
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💿ZFS Internals
Why We Develop EloqDB Mainly in C++
eloqdata.com·7h·
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🦀Rust Borrowing
Go interfaces and json.Unmarshal
fbrs.io·1d
🔧Binary Parsers
Debugging the One-in-a-Million Failure: Migrating Pinterest’s Search Infrastructure to Kubernetes
medium.com·1d
👁️Observatory Systems
About our proof-of-concept LLM tool for navigating Debian's manpages
gwolf.org·10h
🦀Rust Macros
My (temp) budget homelab
reddit.com·13h·
Discuss: r/homelab
🏠HomeLab
Revisiting k-Means: 3 Approaches to Make It Work Better
machinelearningmastery.com·1d
📊Vector Quantization
Agent DB
agentdb.dev·2h·
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🗄️Database Internals