As US gas prices go up, so does Canada’s GDP per capita. Coincidence? Definitely. Insightful? Not even a little. Fun to chart in Deepnote? Absolutely. Data via Explore the notebook yourself:

How to 100× your data team?. The short version by our CEO Jakub:. 1. Make every dataset accessible, and AI-ready. 2. Let anyone ask a question and get an answer in seconds. 3. Automate the repeatable stuff before it ever hits a sprint. Bonus: expose your data workspace in

🤠 Say howdy to Chris, a friendly computer nerd from Sweden, and the Tech Lead of our Enterprise team. “Our mission is building a platform that not only simplifies data access for anyone, regardless of skill level, but also seamlessly integrates into the complex workflows

RT @fdosmither: @DeepnoteHQ's free tier is so good it's nuts. Rip Google Colab.

RT @ForEVeresque: I built a RAG pipeline for SEO use cases with @zilliz_universe and @DeepnoteHQ . Sharing a detai….

We ran 50 years of MLB data through classic sabermetrics and added AI. The notebook lets anyone answer complex baseball questions in seconds. Swap the dataset and you’ve got instant playbooks for hoops, soccer, or beer-league softball. See how AI turns Moneyball into an

🔴 @jakubjurovych live on stage at Forbes Business Fest:. “Startup tempo isn’t a one-week sprint. It’s a pace you keep for years, and the only way to sustain it is genuine conviction in what you’re building.”. He’s sharing how he attracted Europe’s most successful investors and

Great food, bottomless maté and hacking until sunrise. Last month, we hosted our first public hackathon, and it delivered some seriously impressive projects. Watch the recap for highlights (and office views).

Two big updates just dropped:. ✔️ PySpark DataFrames now render in Deepnote’s interactive tables, so you can filter, sort, and explore massive datasets. Operations push back to Spark when needed. No more ) limitations. ✔️ Workspace admins can now choose

Our founder and CEO @jakubjurovych had the honor of ringing the opening bell at @Nasdaq 🔔. It’s already the second time Deepnote appeared on one of NYC’s biggest screens (and definitely not the last). Huge thanks to @AWSstartups and @Techweek_ for making this happen. And for

The more people search for Batman, the more security guards appear in Oklahoma. We’re not saying Oklahoma is training vigilantes… but we’re not not saying it either. Data via recreated in Deepnote, naturally. Explore the notebook yourself:

Investment copilots, energy forecasters, OCR financial analyzers. Our top 3 hackathon teams tackled wildly different problems. What did they all have in common?. They built fast, collaborated smoothly, and shipped impressive results in 24 hours, with Deepnote at the core 💙

Annual U.S. household spending on pork has been suspiciously tracking Lululemon’s stock price 👀 Are bacon lovers secretly fueling athleisure growth? . We recreated this chart in Deepnote—because even ridiculous correlations deserve a beautiful data notebook. Data via

What if you could test your next monetization move before launching it? 🎮. Here’s how gaming studios use notebooks to simulate scenarios, forecast VIP campaigns, and catch revenue dips before they happen:

5/ Big thanks to all the builders, mentors, and midnight snackers who made this hackathon what it was, we can’t wait for the next one!.

4/ 🥉 3rd place: Espelax.Tired of investment platforms taking a cut?. This AI-powered app helps anyone invest, without hidden fees, advisors, or complexity. Built by two students who wanted to make small investing more transparent. Runs on Deepnote with Streamlit.

3/ 🥈 2nd place: Exodus.Say hello to Voltsight, a dashboard for forecasting energy usage and tracking electricity prices across Europe. 🧠 LLM agents explain pricing trends.🌌 ENTSO-E data feeds real-time insights.📈 All built in Deepnote in under 8 hours

2/ 🥇 1st place: dab.A team of ML students built an AI-powered OCR Financial Analyzer. 📄 Extracts financial data with Textract.🧠 Enhances it with a fine-tuned ML adapter + LLM.📈 Delivers a beautiful, interpretable dashboard via Deepnote + Streamlit