Supabase vs Firebase: Which Backend Is Right for Your Next App?

Paris-based AI real estate startup Davis has raised €4.6 million in a pre-seed round led by Heartcore Capital and Balderton Capital, with participation from Yellow, Evantic, and Entrepreneurs First, alongside angels from the founding teams of Hugging Face, Black Forest Labs, and Supabase. Founded in 2025 by CEO Mehdi Rais and Amine Chraibi, Davis combines […]

Revolut briefly showed Bitcoin trading near zero for some users while every major exchange and index still had BTC around $79,000. For a short window on Friday, some Revolut users opened the app and saw Bitcoin (BTC) trading for cents.…

For all their technical capabilities, large language models (LLMs) still have a memory problem. They can lack the ability to retain context across conversations, and don’t always contain the frameworks to let them access relevant data, ultimately making their results unreliable and untrustworthy. NoSQL database pioneer MongoDB is taking on this problem, releasing new persistent memory, retrieval, embedding, and re-ranking features, all integrated into one platform. The company is also introducing new security connectivity, open-source plugins, and other framework integrations to support agentic AI workloads. Supporting agentic memory “Unlocking the power of agents requires memory,” Pete Johnson, MongoDB’s field CTO of AI, said during a press briefing. “Just like human memory, a good agentic memory organizes knowledge. It helps agents retrieve the right knowledge based on context and learn to make smarter decisions and take optimized actions over time.” To advance automated retrieval an

Etsy's new native app within ChatGPT aims to be a conversational shopping experience for users.

How to turn an interview-style SQL query into a production-ready, testable, version-controlled workflow.

Learn how to build, test, deploy, and monitor your first FastAPI Cloud app, a simple live gold and silver dashboard.

The home-services marketplace is overhauling its app to help homeowners figure out what’s wrong—and which of its 300,000 pros can actually fix it.

Dreambase, an AI-powered analytics platform that aims to help people build data-driven companies without hiring a data team, has raised $3.7 million in funding, it tells Crunchbase News exclusively.