Honeypot: Requests for (Code) Repositories, (Sat, Nov 8th)
isc.sans.edu·2d
🌐IndieWeb
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Kaveri: India's Most Powerful 64 Qubit Quantum Processor
qpiai.tech·1d·
Discuss: Hacker News
⚛️Quantum Computing
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How was your experience upgrading to JDK25?
reddit.com·15h·
Discuss: r/java
🔧Abseil
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Built a Rust-based TUI alternative to MongoDB Compass — “Monjo-Kompass” (yes, the name is cursed)
github.com·1d·
Discuss: r/rust
🌱BonsaiDb
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Speech at Christening of Computer [1967]
mynamelowercase.com·11h·
Discuss: Hacker News
🤖Cyberpunk
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Nvidia Buys Illumina? The AI Foundry for Healthcare
newsletter.semianalysis.com·13h·
Discuss: Hacker News
🔬Deep Learning
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Stop vibe coding your unit tests
andy-gallagher.com·5d·
Discuss: Hacker News
Property Testing
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Recursive macros in C, demystified (once the ugly crying stops)
h4x0r.org·5d·
🦀Rust Macros
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The Case of the Missing Proxy: When Multiple Valtio Instances Broke My App
dev.to·1d·
Discuss: DEV
⚛️React
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Hire Full-Time React.js Developers: Build High-Performance Applications with Consistent Expertise
dev.to·7h·
Discuss: DEV
🌐Web Development
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Show HN: MainyDB – an embedded MongoDB-style database for Python
github.com·1d·
Discuss: Hacker News
🌱BonsaiDb
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On the relationship between MESP and 0/1 D-Opt and their upper bounds
arxiv.org·3d
📊Dynamic Programming
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Building a Python @trace Decorator in Rust
dev.to·3d·
Discuss: DEV
🦀Rust Macros
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SPECTRA: Spectral Target-Aware Graph Augmentation for Imbalanced Molecular Property Regression
arxiv.org·12h
🕸️GraphBLAS
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NeuroBase: AI-Powered Conversational Database with Multi-Agent Intelligence
dev.to·17h·
Discuss: DEV
💰TigerBeetle
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Truthful Engineering: How to Build Products People Actually Trust
dev.to·3d·
Discuss: DEV
📚Technical Writing
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Unlocking List Understanding: The AI's Next Frontier
dev.to·2d·
Discuss: DEV
💬Prompt Engineering
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Event-Driven Batch Processing on AWS: From Scheduled Tasks to Auto-Scaling Workloads
dev.to·2d·
Discuss: DEV
🤖Automation
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Crushing IR-Drop: How Smart Software is Revolutionizing AI Hardware Performance
dev.to·1d·
Discuss: DEV
Hardware Acceleration
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DARN: Dynamic Adaptive Regularization Networks for Efficient and Robust Foundation Model Adaptation
arxiv.org·12h
Incremental Computation
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