I needed fast embedded storage. RocksDB wasn't it. So I built TidesDB
tidesdb.com·12h·
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Diving into Rama: A Clojure LSH Vector Search Experiment
shtanglitza.ai·12h·
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Building Real-Time ML Feature Pipelines with Streaming SQL
timeplus.com·2d·
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Show HN: I am building TypeScript ERP/CRM framework – MIT license
github.com·1d·
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Mount Mayhem at Netflix: Scaling Containers on Modern CPUs
netflixtechblog.medium.com·17h·
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Thoughts on Building Reliable Systems
medium.com·9h·
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MIT researchers propose a new model for legible, modular software
news.mit.edu·2d·
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DS-STAR: A state-of-the-art versatile data science agent
research.google·1d·
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Ruby Solved My Problem
newsletter.masilotti.com·18h·
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AiDHD: Reflecting on 6 Months Vibing
josh.ing·21h·
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We Started with Jax but Moved to PyTorch
mlechner.substack.com·1d·
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Google's MCP Toolbox for Databases: A Technical Deep Dive for Engineering Teams
agnost.ai·1d·
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Servant by construction – a blog series on Haskell's web stack gem
laurentrdc.xyz·23h·
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Patterns for Building a Scalable Multi-Agent System
devblogs.microsoft.com·16h·
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Token-Optimized Notation Language
tonl.dev·21h·
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Notes on ClickHouse Scaling
gouthamve.dev·14h·
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Beyond the Medallion: Rethinking Data Architecture
blog.matterbeam.com·1d·
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Owning the Stack: Why IP Retention Is Mandatory for Coding ASI
autohand.ai·1d·
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Which Chip Is Best?
blog.confident.security·1d·
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When deep thinking turns into deep hallucination
techkettle.blogspot.com·1d·
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