TLDR Data Archives
AI Benchmarks Are Broken ๐Ÿ’ฅ, Jev Inside Your Warehouse โšก, Doom Runs on SQL ๐ŸŽฎ
System 1 Models for Data โšก, Postgres Meets Jev ๐Ÿ˜, A 4B Model Beats Postgres ๐ŸŽฏย 
LangChainโ€™s Paid Media Agent ๐ŸŽฏ, DuckDB Skills for Claude Code ๐Ÿฆ†, How Many Labels? ๐Ÿท๏ธ
Postgres at 118M QPS ๐ŸŽ๏ธ, ChatGPT Work Data Agent ๐Ÿ—ฃ๏ธ, Lyftโ€™s Travel-Time Map ๐Ÿš•
30 Years of Postgres ๐Ÿ˜, Spotify Skips Bayesian ๐ŸŽง, Kestra 2.0 Ships ๐Ÿš€
Spotify Cuts Agent Token Usage ๐Ÿ“‰, How Proxies Help Databases ๐Ÿšฆ, Data Teams Are Context Teams ๐Ÿง‘โ€๐Ÿซ
Netflixโ€™s Parallel Spark Tuning ๐Ÿ“Š, Tracing AI Token Waste ๐Ÿ’ธ, S3 Gets More Duck ๐Ÿฆ†
Spark 4.1.0 Released โšก, How Twilio Tracks Lakehouse Staleness ๐Ÿšจ, Replacing Fivetran at Scale ๐Ÿ”„
DuckLabs Joins AWS ๐Ÿฆ†, LinkedInโ€™s Cognitive Memory Agent ๐Ÿง , Chaos Testing Kafka ๐ŸŒช๏ธ
The Politics Behind Metrics ๐Ÿ›๏ธ, Unlearning Pandemic Demand ๐Ÿฆ , The Art of Indexing โšก
Inside DuckDB 2.0 ๐Ÿฆ†, ACID for AI Agents โœ…, Variant Lands in Iceberg ๐Ÿช†
Benchmarking Agentic Analytics ๐Ÿ“Š, Faster Lakehouse Lookups ๐Ÿ”Ž, Comet Hits 1.0 โ˜„๏ธ
Vercelโ€™s Migration to DynamoDB ๐Ÿชข, Stripeโ€™s Self-Healing Databases ๐Ÿ› ๏ธ, Electric Joins Databricks โšก
Robotics Data Stack ๐Ÿค–, Automating the Semantic Layer ๐Ÿ“Š, The Agent Sprawl Problem ๐Ÿ‡
Netflix Simplifies Storage ๐ŸงŠ, Meta Doubles Training Efficiency ๐Ÿ’Ž, Metrics Defined Once ๐ŸŽฏ
DoorDashโ€™s Agent Control Plane ๐Ÿšฆ, OpenAI Shreds Analytics Costs ๐Ÿ’ธ, SQL on Video ๐ŸŽฅ
Airbnbโ€™s Evals Approach ๐Ÿ , Spotifyโ€™s Fast Point Queries ๐ŸŽต, Versioning Business Knowledge ๐Ÿงฉ
Orchestration Beats Model Size ๐Ÿ, Scaling Postgres Pub/Sub ๐Ÿ””, Zero-Copy Neo4j ๐Ÿ•ธ๏ธ
Serverless Multi-Region Postgres ๐ŸŒ, DuckDBโ€™s Vectorized Execution ๐Ÿฆ†, Backfills Done Properly ๐Ÿ”
Inside Spark 4.2 โœจ, Data Modeling Still Matters ๐Ÿ“, Faster Spark With Rust ๐Ÿฆ€