Dorian Banutoiu

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Dorian Banutoiu

Dorian Banutoiu

@canonicalizedco

Data-driven • Tableau passionate | Growth Helper @ https://t.co/zcvzkxr0yX

Bucharest, Romania Katılım Ocak 2016
666 Takip Edilen939 Takipçiler
Mau Baron
Mau Baron@maubaron·
tiktok spark ads are the most underrated distribution channel right now prayer lock scaled from $3k to $25k/month purely from tiktok spark ads it's simple: - setup an MMP (lately i've been hearing good things about the tiktok sdk but we don't use it) - post ruthlessly (at least 21 times a day) - wait until you have a post with at least 10k views and push it as a spark ad - repeat the hardest part is figuring out what content to make in the first place i break down the content system in this article so you know exactly what to start posting
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Mau Baron@maubaron

x.com/i/article/2027…

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Jake Mor
Jake Mor@jakemor·
🚨 If you write a lot of sql queries and are a founder at your business please dm me for free access to a tool that will change your life forever
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Hamilton Ulmer
Hamilton Ulmer@hamiltonulmer·
DuckLake is finally here! It builds on the ideas of Iceberg by ... just using a database for the metadata. That's right; it's just a database and some parquet files. It turns out this corrects for many of Iceberg's design issues, and keeps you in plain old sql
DuckDB@duckdb

Today we're launching DuckLake, an integrated data lake and catalog format powered by SQL. DuckLake unlocks next-generation data warehousing where compute is local, consistency central, and storage scales till infinity. ⁠DuckLake is an open standard and we've implemented it in the "ducklake" DuckDB extension. – Read the announcement blog post at duckdb.org/2025/05/27/duc… – Visit the new DuckLake website at ducklake.select

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Virat Singh
Virat Singh@virattt·
We need better UI for the AI hedge fund. What will be a good UX? Very open to suggestions.
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Virat Singh
Virat Singh@virattt·
I made UX changes to the AI hedge fund. Our agents now show reasoning by default. Reasoning is shown in: 1 • agent analysis 2 • agent trading decision We show reasoning for every agent + ticker. 1 • Analysis: each agent gives us a trading signal, confidence, and signal reasoning. 2 • Trading Decision: each agent gives us a final trading decision, share count, confidence, and overall reasoning. I will improve the reasoning quality next. Goal is to have the agents work smart and show their work.
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Mim
Mim@mim_djo·
NotebookLM is interesting, I added a link to the latest paper from Umbra DB and it did generate a nice podcast, I think the podcast industry is doomed 😅 notebooklm.google.com/notebook/a57dc…
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Dorian Banutoiu
Dorian Banutoiu@canonicalizedco·
3/4 But remember: - They will care if the data is wrong - They will care if they have to wait too long for the numbers to load - They will care if overly complex charts get in the way of their understanding
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Dorian Banutoiu
Dorian Banutoiu@canonicalizedco·
A Hard truth about #BI: people just want their numbers. They don't really care how you do it. 🧵 1/4
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Mim
Mim@mim_djo·
this is awesome combining overture maps, #DuckDB GIS, #onelake and Directlake mode in #PowerBI with Icon map took me less than 1 hour to build ( obviously, I copied the code) honestly this is where #MicrosoftFabric shine, all thing in one box make sense overturemaps.org
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