mrtimo

5 ms·

1.
by mrtimo 9d ago
It said I clicked on water a few times when I had not... Maybe it was a canal? Very cool.
2.
by mrtimo 26d ago
Check out malloyyo on github
3.
by mrtimo 29d ago
I've moved from python/polars/pandas to DuckDB and have not looked back
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by mrtimo 1mo ago
The article mentions a dataset of names given to people in the USA. This is a fun name explorer WASM based on that data. 811 people in the USA have named their baby 'Diesel': https://docs.malloydata.dev/malloyyo-ba
5.
by mrtimo 2mo ago
you should checkout https://github.com/malloydata/malloyyo - it's great at what you trying to do.
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by mrtimo 2mo ago
Thanks for sharing, and thanks for making the video you shared. A couple thoughts. Is PostGIS king in this area? I've been liking duckDB as it does not require a server. Is there a good alternative to PostGIS in the duckDB world? May
7.
by mrtimo 3mo ago
Thanks for sharing all this. Where is the submission page on claude / openAI to submit MCP servers to their directories?
8.
by mrtimo 3mo ago
Question: I have an MCP server that is working well with Auth (Google Only), running on vercel. What benefit would I get from running it on manufact? On monetizing my MCP... How do the different MCP "Stores" handle this? Do some t
9.
iPhone Launch – Studio C (Comedy Sketch) [video](youtube.com)
1 points by mrtimo 4mo ago|0 comments
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by mrtimo 5mo ago
Can it be run as a static site(github pages) ?
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by mrtimo 5mo ago
This is awesome. Is your code open source? It would be cool to make a textbook for SQL in this format.
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by mrtimo 5mo ago
If you are a data scientist or do anything with data... duckdb is like a swiss army knife. So many great ways it can help your workflow. The original video from CMU in 2020 [1] is a classic. Minutes 3-8 present a good argument for adding du
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by mrtimo 7mo ago
Nice work. Have you blogged about how you built it?
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Dark Web Data Pricing 2025: Real Costs of Stolen Data and Services(deepstrike.io)
2 points by mrtimo 8mo ago|0 comments
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by mrtimo 8mo ago
Spotify says it will take 30 days for the export... it really only takes about 48 hours if I remember correctly. While you wait for the download here is an example listening history exploration in malloy - I converted the listening history
16.
by mrtimo 8mo ago
What I love about duckdb: -- Support for .parquet, .json, .csv (note: Spotify listening history comes in a multiple .json files, something fun to play with). -- Support for glob reading, like: select * from 'tsa20*.csv' - so you c
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by mrtimo 8mo ago
Nice work Andy. I'd love to hear about semantic layer developments in this space (e.g. Malloy etc.). Something to consider for the future. Thanks.
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by mrtimo 9mo ago
Me too
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Mistral misspelled Ministral on HuggingFace and Ollama(huggingface.co)
4 points by mrtimo 10mo ago|1 comments
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by mrtimo 11mo ago
I'm using DuckDB WASM on github pages. This will take about 10 seconds to load [1] and shows business trends in my county (Spokane County). This site is built using data-explorer [2] which uses many other open-source projects including
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by mrtimo 11mo ago
DuckDB can read JSON - you can query JSON with normal SQL.[1] I prefer to Malloy Data language for querying as it is 10x simpler than SQL.[2] [1] - https://duckdb.org/docs/stable/data/json/overview [2] -
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by mrtimo 11mo ago
I have experience with duckDB but not databricks... from the perspective of a company, is a tool like databricks more "secure" than duckdb? If my company adopts duckdb as a datalake, how do we secure it?
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by mrtimo 11mo ago
Love this! Here is a similar product: https://sql-workbench.com/
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by mrtimo 11mo ago
Based on this comment, you might enjoy the Malloy data language. It compiles to SQL and also have an open source explorer to make filters like what you are saying easy.
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by mrtimo 1y ago
It’s 2025. Let’s separate storage from processing. SQLite showed how elegant embedded databases can be, but the real win is formats like Parquet: boring, durable storage you can read with any engine. Storage stays simple, compute stays swap
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by mrtimo 1y ago
Same. But, I use Malloy which uses duckdb to query data stored in hundreds of parquet files (as if they were one big file).
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by mrtimo 1y ago
I agree with this 100%. The creator of duckdb argues that people using pandas are missing out of the 50 years of progress in database research, in the first 5 minutes of his talk here [1]. I've been using Malloy [2], which compiles to
28.
by mrtimo 1y ago
Very cool to see Malloy mentioned here. Great stuff. There is an MCP server built into Malloy Publisher[1]. Perhaps useful to the author or others trying to do something similar to what the author describes. Directions on how to use the MCP
29.
by mrtimo 1y ago
I'm a business professor who teaches Python and more. I'd like to develop some simple projects to help my students fine tune this for a business purpose. If you have ideas (or datasets for fine tuning), let me know!
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by mrtimo 1y ago
Malloy [1] has a semantic layer [2]... and Model Context Protocol (MCP) support is being added through Publisher [3]. Something to keep an eye on. Seems like a great fit for LLMs. [1] https://www.malloydata.dev/ [2] https:

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