MSI MAG 272QP X50
tftcentral.co.ukΒ·7h
πŸ•ΈοΈWASM Archives
Streamline access to ISO-rating content changes with Verisk rating insights and Amazon Bedrock
aws.amazon.comΒ·2d
πŸ“°RSS Archaeology
A Moment For Independent Media
tedium.coΒ·17h
πŸ“‘RSS Readers
The Saga Continues: More Dirt on the Salesforce–Drift Breach
lmgsecurity.comΒ·5h
🎫Kerberos Attacks
How InfluxDB 3 Brings Processing Directly Into the Database
thenewstack.ioΒ·1d
🌊Stream Processing
Streaming SQL for Real-Time AI and Machine Learning
timeplus.comΒ·1hΒ·
Discuss: Hacker News
🌊Streaming Databases
Building tenets: Intelligent context aggregation for AI pair programming
jddunn.github.ioΒ·3hΒ·
Discuss: Hacker News
πŸŒ€Brotli Internals
[1 Workflow] How We Get Our Daily AI News Briefing Done in 5 Minutes
dev.toΒ·11hΒ·
Discuss: DEV
πŸ“‘RSS Automation
How to implement the Outbox pattern in Go and Postgres
medium.comΒ·2dΒ·
Discuss: Lobsters
πŸ”CBOR
Peekaping – self-hosted uptime monitoring
peekaping.comΒ·2dΒ·
Discuss: Hacker News
πŸ“ŠHomelab Monitoring
Automated Semantic Drift Detection and Mitigation in Real-Time Multimodal Data Streams
dev.toΒ·1hΒ·
Discuss: DEV
🌊Stream Processing
RSL Automates Content Licensing for Fair Compensation of Publishers+Creators
rslstandard.orgΒ·1dΒ·
Discuss: Hacker News
πŸ“‘Feed Archaeology
Is there demand for a managed web automation and monitoring service?
news.ycombinator.comΒ·12hΒ·
Discuss: Hacker News
πŸ“°RSS Reading Practices
Show HN: Building an AI-native mini-OS for developers
vibemind.spaceΒ·3hΒ·
Discuss: Hacker News
πŸŒ€Brotli Internals
Show HN: SandBox – AI agents simulating possible futures
github.comΒ·2hΒ·
Discuss: Hacker News
πŸ€–AI Curation
New OSS tool: Gonzo + K9s + Stern for log tailing
reddit.comΒ·5hΒ·
Discuss: r/kubernetes
❄️Nix Flakes
Beginner guide for Apache Kafka
dev.toΒ·1dΒ·
Discuss: DEV
🌊Apache Kafka
Prompt analytics without the complexity (or vendor lock-in)
testune.xyzΒ·6hΒ·
Discuss: DEV, Hacker News
πŸ”„Sync Engine
How AI Can Predict the Success of Your Business Using Data from Google Maps
dev.toΒ·1dΒ·
Discuss: DEV
πŸ•΅οΈFeed Discovery
RAG Explained: Understanding Embeddings, Similarity, and Retrieval
towardsdatascience.comΒ·1d
πŸ“ŠMulti-vector RAG