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Virtualization: Theory to Silicon
pooladkhay.com·7h·
Discuss: Hacker News
⚙️Mechanical Sympathy
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Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems: 9781098119065: Computer Science Books @ Amazon.com
amazon.com·16h
🗄️Database Engines
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Performance Hints for BigQuery
trmlabs.com·1h·
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⚙️Database Internals
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Your all-SSD NAS is a massive waste of money
howtogeek.com·7h
🗜️Compaction
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IPC in Rust
3tilley.github.io·20h
🔄Async Rust
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Flame Graphs vs. Tree Maps vs. Sunburst (2017)
brendangregg.com·9h·
Discuss: Hacker News
🔬Rust Profiling
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Why is calling my asm function from Rust slower than calling it from C?
ohadravid.github.io·6h·
Discuss: Lobsters, Hacker News
🔬Rust Profiling
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The answer is in your heap: debugging a big memory increase in Ruby on Rails
island94.org·19h
🔬Rust Profiling
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Windows drive X: Unleash ferocious speed by using RAM as storage
pcworld.com·44m
🗜️Compaction
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Human Processor Model
en.wikipedia.org·19h·
Discuss: Hacker News
🪄Prompt Engineering
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Optimizing for the edge: Lessons from DOS, Turbo Pascal, and hardware constraints
allthingsopen.org·5h
🪄Prompt Engineering
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Linux perf Examples
brendangregg.com·12h
⚡Systems Performance
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‘Counting Every Day’: The Soldier Who Spent More Than a Year on the Front Line
nytimes.com
·10h
☢Nuclear Arms Control
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Christmas Trilogy 2025 Part 3: Pictures of Johannes
thonyc.wordpress.com·13h
🌌Liu Cixin
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American Leftists Are Insufferable
shewrites.bearblog.dev·19h
🏛️Politics
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A Street Corner In Rotterdam
therantyhighwayman.blogspot.com·9h·
Discuss: therantyhighwayman.blogspot.com
🚴Bike Infrastructure
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ChatGPT could prioritize sponsored content as part of ad strategy — sponsored content could allegedly be given preferential treatment in LLM’s responses, OpenAI to use chat data to deliver highly personalized results
tomshardware.com
·3h
💳Content Monetization
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Here is what Amazon has planned for the Kindle in 2026
goodereader.com·13h
📖E-Ink
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Friday Squid Blogging: Squid Camouflage
schneier.com·22h
✍️Technical Blogging
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“No one could suspect that times were coming . . . when the man who did not gamble would lose all the time, even more surely than he who gambled.”
statmodeling.stat.columbia.edu·5h
🏛️Politics
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