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AIHOT vs Datapuddle

Both are on Woodander. Here is what each one does, who it is for and how they differ — from what the makers and our editors wrote.

AIHOT Datapuddle
What it is A daily AI news digest: collects AI news from across the web, summarises and scores it with an LLM, and publishes a daily report (in Chinese). A native Mac app for querying Parquet, CSV and .duckdb files with SQL. Millions of rows, column profiles in every header, visual query plans. Powered by DuckDB.
Category AI Apps & Assistants AI Apps & Assistants
Pricing — Paid
Page maintained by Woodander editors Woodander editors
On Woodander since October 2026 October 2026
Website aihot.news datapuddle.app

About AIHOT

AIHOT gathers AI news from many sources, writes LLM summaries, scores and selects the items, and publishes a daily AI report covering model and product launches, industry events, papers, tutorials and opinion. The site is in Chinese. Its framework can be reused: swap in your own sources and selection criteria to run a news site for your industry.

Choose AIHOT if you need a daily AI news digest: collects AI news from across the web, summarises and scores it with an LLM, and publishes a daily report (in Chinese).

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About Datapuddle

A native Mac app for querying Parquet, CSV and .duckdb files with SQL. Millions of rows, column profiles in every header, visual query plans. Powered by DuckDB. DuckDB has been my swiss-army knife for a while now. I have a special place in my heart for polished native macOS apps. My somewhat outsized and exaggerated dislike for electron/webkit based has lead me toil away on several native macOS apps on my own...mostly to not much profit :)I wanted to build a nice DuckDB client. Though I usually reach for TablePlus, my favorite multi-db client on Macs, I felt like there wasn't a nice DuckDB oriented experience.One thing that I used DuckDB for on locally on my desktop is dealing with larger datasets. And paging is something that was annoying a...

Choose Datapuddle if you need a native Mac app for querying Parquet, CSV and .duckdb files with SQL. Millions of rows, column profiles in every header, visual query plans. Powered by DuckDB.

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