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nzoschkeyesterday at 10:56 PM3 repliesview on HN

This looks great.

"Unbundling BI" is absolutely where things are headed now that more people have agents, coding agents, agent computers to help with work.

I'm seeing this all up and down knowledge work tools. I've started treating email as a BI problem -- ETL it from Gmail and and create many different views into it and reports from it.

I just wrote up some thoughts on that here: https://housecat.com/blog/making-gmail-data-fast-for-humans-...

A natural followup is how to better visualize this data in chat. The DBT table component looks like it could help https://docs.dbtcharts.com/charts/tables/


Replies

nzoschkeyesterday at 11:11 PM

Wow https://github.com/dbt-labs/dbt-charts has a great chat user / agent coding experience:

> Make charts of this with dbt Charts. Start with: uv tool install dbt-charts && dct skills intro

>

> build a dashboard of my hiring inboxes: list of candidate name / email / locale, application quality, response age

The one-shot dashboard is surprisingly good.

stackghostyesterday at 11:20 PM

>This looks great.

>"Unbundling BI" is absolutely where things are headed now that more people have agents, coding agents, agent computers to help with work.

Agreed. Coupled with bento[0] for slide decks, I think this type of project is a very welcome development, helping us move away from walled gardens and proprietary software suites.

[0] https://github.com/nyblnet/bento

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pizzafeelsrightyesterday at 11:27 PM

Why visualize data? Graphs and charts always felt like the "show your work" in math class. It is forced synesthesia.

The rocket either lands or doesn't, safely, as expected. Green and Red lights are abstracted data plots.

The context should be the focus.

"Rocket must land at less than 0.2/mps" and pump the data into that context filter, more - reduce velocity, less - green light.

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