auxten
Show HN: A web newspaper that looks like a newspaper
Context Management Is the Real Bottleneck for AI Agents
Show HN: BotsChat, Chat UI Designed for OpenClaw
A Frustrated Openclawer Ended Up Building a Headless Mac Utility
Re:21 GB/s CSV Parsing Using SIMD on AMD 9950X
on Wednesday May 14, 2025 @04:15AM (#43982158)
Anyone tried ClickHouse on CSV?
Show HN: ClickAgent: Multilingual RAG System with Batteries Included
Re:ClickHouse gets lazier (and faster): Introducing lazy materialization
on Tuesday April 22, 2025 @09:44PM (#43767957)
chDB author here, You are right, we have not made a static libchDB. BTW, I guess you are a golang developer?
Re:smallpond - A lightweight data processing framework built on DuckDB...
on Sunday March 02, 2025 @10:34PM (#43238039)
Data operations are increasingly happening near the GPU side to boost efficiency—especially for compute-heavy workflows. Talking about Arrow file processing and zero-copy queries on DataFrames, which are becoming crucial for modern data pipelines. I think another option worth considering is chdb, which supports these features and fits well with this shift. (author of chdb here)
Common Misconceptions of Vector Database
Show HN: chDB 3.0 released, 12% faster than DuckDB
Use Cases for ChDB, a Powerful In-Memory OLAP SQL Engine
Re:Launch HN: Human Layer (YC F24) – Human-in-the-Loop API for AI Systems
on Wednesday November 27, 2024 @04:03AM (#42254312)
I think Human Layer is a great idea. Recently, my baby turned one year old, which made me reflect on many issues. We train AI with a lot of data but overlook the impact that decades of seemingly useless data from human growth experiences have on our brain development. As a result, humans still have an incomparable advantage over LLMs in terms of the so-called "big picture." For example, a recent experience I had was when I asked Claude 3.5-sonnet to write a bash script; it inadvertently modified the PATH variable, costing me a lot of time to fix it. Such attention to detail in work is difficult to avoid through vector db recall or manual context completion. But I believe that a true bash expert would not make such mistakes.
Show HN: SQLite like API of ClickHouse engine in Python
Show HN: Export PostgreSQL table to 10 Parquet files with chDB in 15 lines
Show HN: Console Style Code Card Generator
Show HN: ClickHouse on Pandas Dataframe
Show HN: How we made querying Pandas DataFrames 87x faster
Re:Show HN: ClickHouse User Defined Table Function in Python
on Thursday October 24, 2024 @04:43AM (#41933462)
Yes, if not put it there. Everyone want to have a try need to register a Google Clould account
Show HN: ClickHouse User Defined Table Function in Python
Re:Show HN: Clickhttp: ClickHouse via HTTP Protocol
on Wednesday October 23, 2024 @01:26AM (#41922084)
Interesting project. With chDB, the in-process ClickHouse engine you can make HTTP API a ClickHouse table. Here is a ClickHouse on Google Calendar example: https://github.com/auxten/SQL-On-Everything/tree/main/google...
Btw, I'm the author of chDB.
How we made querying Pandas DataFrames with chDB 87x faster
Re:ChDB: Embedded OLAP SQL Engine Powered by ClickHouse
on Monday October 23, 2023 @10:13PM (#37994188)
Author of chDB here. For those who are interested, there is a blog post that explains how we created chDB. https://clickhouse.com/blog/chdb-embedded-clickhouse-rocket-....
Re:Backward Compatibility, Go 1.21, and Go 2
on Tuesday August 15, 2023 @01:56AM (#37130698)
Golang's forward compatibility and static compilation allow developers to quickly download and use the latest Golang release without the pain of upgrading like interpreted languages or VM-dependent languages.
Re:ClickHouse-local and chdb performance issue on clickbench Q.23 Q28
on Thursday April 27, 2023 @10:10PM (#35736791)
Noted, thanks.
ClickHouse-local and chdb performance issue on clickbench Q.23 Q28
ServerLess OLAP with Chdb
Show HN: ChDB is an in-process SQL OLAP Engine powered by ClickHouse
Re:Show HN: DataStation – App to easily query, script, and visualize data
on Wednesday June 01, 2022 @12:09AM (#31577970)
How does it compare to Apache Superset?
I Put Apache Superset to Mac App Store
I’m a heavy user and also a code contributor to Apache Superset. Running Superset on my MacBook is the only reason to have a Docker(still a VM inside?) installed which I think is too heavy.Superset puts most heavy work onto the database side, I thought there might be some possibility to have a Superset.app to make it easier to use Superset on my MacBook.Here is how I did that...