Yves Le Maout

Runner - Software Engineer

[Emm | scenario.com @emmanuel_2m]

Rare footage of a product roadmap session with the @Scenario_gg CTO @hervenivon.

It's over.

[Hamilton Ulmer @hamiltonulmer]

One week into shipping direct Jev support in MotherDuck SQL and we have (1) maaaaaany billions of tokens generated and (2) way more customers running real production analytics pipelines using prompt_jev() than I expected!

What are real customers using prompt_jev() for?
- The top use cases are tagging product and event data of varying shapes, and labeling and scoring support tickets, free-form text, and of course sales calls.
- Agent productivity is more common than I expected. Lots of customers have tons of agent traces and want to tag them by what they're about. Everyone's trying to get to the bottom of dev productivity & new product analytics w/ their own agents.
- Customers of all sizes and stages use it. Big, established accounts, small nearly-dormant ones who don't want to talk to sales springing to life, everything in-between, and tons of new signups who upgraded to our Business plan and immediately started cranking.

I'm going live tomorrow (Tues Sept. 29th) at 9:30am PT with @matsonj to dig deeper. Link in reply

[TypeSafe AI @typesafeai]

Jev makes it easy to add natural language intelligence into the key parts of any application at scale, far cheaper and faster than has ever been possible.

50x faster.
100x cheaper.
Reliable as duck.

[Luke Kranz @lkkrnz]

Stop paying a premium to query your own data. https://t.co/Z9FVz1p9lS

[Jacob Matson @matsonj]

for the mviz enjoyer - a prod application using it in an embedded way is now live on the motherduck site :)

[Jordan Tigani @jrdntgn]

Great to hear your interest in pg_duckdb, but we want to clarify that no one is taking over the project. For the last year, MotherDuck has been driving it on our own; we launched version 1.0 in sept and 1.1 in dec (with community help). We look forward to your contributions.

[Jacob Matson @matsonj]

you can run duckdb in claude now

[MotherDuck @motherduck]

MotherDuck now supports DuckLake! 🦆

New open table format for extreme scale with database-backed metadata.

Two options:
🚀 Fully managed
☁️ Bring your own bucket

Ready to dive in (the lake 🥁)?

CREATE DATABASE (TYPE ducklake);

https://t.co/hgBd1yZ7Oc

[Peter Boncz @peterabcz]

DuckLake: leverage DB tech for Data Lake metadata.

works on @duckdb, postgres, MySQL & SQLite

provides:
- multi-statement &
multi-table transactions
- SQL views
- delta queries
- encryption
- low latency: no S3 metadata &
inlining: store small inserts in-catalog
and more!

[Hamilton Ulmer @hamiltonulmer]

Excited to announce that the MotherDuck UI team is hiring!

you'll be working w/ my team to build novel SQL features like Instant SQL and dataviz like the Column Explorer – features only possible because of MotherDuck's unique architecture

SF or Seattle offices

link in reply✌️

[Jelte Fennema-Nio @JelteF]

Today I finally tried out the new "Instant SQL" feature that @hamiltonulmer has been teasing for months. The immediate feedback really feels like MAGIC. For more fancy GIFs check out todays release blogpost: https://t.co/f04YKXCoqC Be sure to try it out, you won't wanna go back

[Hamilton Ulmer @hamiltonulmer]

So thrilled to announce we've released Instant SQL!

It's a new interaction pattern for writing SQL queries that provides realtime result previews and deep query inspection & debugging. Bye bye run button 👋

Truly, literally only possible with DuckDB

[MotherDuck @motherduck]

Instant SQL is HERE 💥
#INSTANTSQL

[nick.json.gz @nickursa]

@motherduck is hiring a Data Engineer in NYC or SF. This is a very dogfood-y role as we use MotherDuck for everything internally. As a DE at a DB co you get to influence the main tool you work with every day. Love #duckdb ? DM me or apply directly.

https://t.co/jFTSdUcVBa

[Caleb @calebfahlgren]

I have been really enjoying the new local @duckdb UI

I wrote a small post on how you can use it with any @huggingface dataset

https://t.co/xAJJhEGA41

[Hamilton Ulmer @hamiltonulmer]

🚨 Instant Preview Mode has been achieved internally

[Hamilton Ulmer @hamiltonulmer]

So thrilled the DuckDB UI is out to the world!

A couple small design details we thought about in thread

[DuckDB @duckdb]

DuckDB got a local UI. Thanks to our friends at MotherDuck, you can now interact with your DuckDB database through an interactive notebook, running on localhost. Read the announcement blog post at https://t.co/rv3Tsk0g45

[Hamilton Ulmer @hamiltonulmer]

💥 just released in the MotherDuck UI: new file -> table functionality

thanks to dual execution, it's easy to preview (and validate!) files fully before you make a table out of them

[DuckDB @duckdb]

We are happy to announce DuckDB v1.2.0 “Histrionicus”!

The new release has several usability, security and performance improvements. It has new features for the CSV and Parquet formats, as well new (opt-in) options for DuckDB's own format.

Read more at https://t.co/rB78EZNCkb