Reading up on ClickHouse
13 deep · digging since dec 01, 25
- Why don’t more developers “use the platform”?
The article examines why developers often avoid native web platform features, citing historical gaps, familiarity, documentation, enjoyment of building, and AI's influence on code choices.
- Why don’t more developers “use the platform”?
Developers often avoid native web platform features due to historical gaps, familiarity with libraries, better documentation, and personal enjoyment of building things themselves.
- Why strict memory overcommit matters for Postgres
ClickHouse Managed Postgres enables strict memory overcommit so that out‑of‑memory conditions fail a single query instead of triggering an instance‑wide OOM restart, with no measurable throughput loss.
- Revisiting Joel's Test - exe.dev blog
Joel Spolsky's original twelve‑question Joel Test remains valid, but nine additional agent‑focused questions form the Shelley Test for modern software teams.
- GitHub - foru17/neko-master at console.dev
Neko Master is a modern dashboard for real-time network traffic visualization and analysis, featuring multi-gateway monitoring, Docker-based deployment, and agent-assisted data collection from gateways like Clash and Surge.
- I rewrote PostHog's SQL parser, 70x faster, while barely looking at the code
PostHog's engineer used parallel Claude Code sessions to rewrite their SQL parser, achieving a 70x speedup by fuzzing against the old ANTLR-based parser as an oracle.
- Karpathy's Autoresearch found a 3-year-old bug in our query engine (and improved performance by 11%) - PostHog
PostHog used a Karpathy-style AI agent to find a 3-year-old ClickHouse bug where `toTimeZone()` disabled primary key usage, and the fix cut query time by 37%
- Fast regex search: indexing text for agent tools
Cursor is building local indexes for regular expression search to reduce agent wait times from 15-second ripgrep runs in large monorepos.
- Inside our effort to improve the Mintlify assistant
Mintlify used ClickHouse to analyze negative assistant feedback, identified search as the main weakness, and shipped UI improvements like conversation history and mobile chat.
- 28M Hacker News comments as vector embedding search dataset
ClickHouse provides a 28.74-million Hacker News posting dataset with vector embeddings, enabling large-scale vector search application development and testing.
Takes
chatgpt work for operating over and taking actions with your company's data, including building dashboards. just connect your existing tools, including PowerBI, Tableau, Clickhouse, Oracle BI, AWS Redshift, etc..
@gdb
All types of databases, Redis, Postgres, Clickhouse, Mysql etc. now display important stats and metrics aswell as most run queries in the Maple service map
@makisuo
https://t.co/oqm3qYOMcf
@EthanChoi7