WhoDB
Businesses don't struggle with a lack of data. They struggle with getting answers from it quickly. This blog explores why traditional dashboards fall short, and how WhoDB's Enterprise Chat gives teams a faster, more flexible way to query live business data across all their existing systems.
The conversation around sovereign AI is getting louder. Here's what it actually requires, from someone building the infrastructure behind it. By Anguel Hristozov, Co-founder & CTO, Clidey
reportreport.pdf75 KBdownload-circlereport.pyreport.py.zip1 KBdownload-circle An exact symbolic check of a proposed polynomial map in three variables Attribution. The polynomial map and the claimed observation discussed here are credited to Levent Alpoge, based on the supplied announcement and post. That source also describes the result as
WhoDB
Manual spreadsheets were slowing down inventory planning. See how one premium retailer used AI to automate allocation, replenishment, and consolidation while improving inventory productivity and customer availability.
A privileged access management company had enterprise-grade security. Secure access is only half the job. The other half is making sure people can actually use it. Their database UX told a different story.
Why Modern Teams Need More Than a Database Explorer
WhoDB
Most engineering teams don’t rely on a single database anymore. Modern stacks are a mix of specialized systems: Postgres for transactions, Redis for caching, Elasticsearch for search, Neo4j for relationships, object storage for files, and vector databases for AI. The hard part is managing them all.
Introducing the Future of Data Interaction: Conversate with Your Data Using Plain English!
Go from 0 to 100 with our guide on how to get started with WhoDB! Part 2 showcases the functionality.
Go from 0 to 100 with our guide on how to get started with WhoDB! Part 1 shows you how to install and run.
The Magic of Clidey
The Last Seed Script You'll Ever Write You know the feeling. You just pulled the latest changes from the repo. You run docker compose up. The containers spin up green. You open your localhost port. And the app is empty. It's a ghost town. No users.
Why We Built a Database Client for the Terminal (and Made It an MCP Server) I live in the terminal. If you’re reading this, you probably do too. For years, my workflow for checking a database record looked like this: I’m writing code in Neovim or VS Code.
Keep Your Data Secrets Safe: Why Your Schema is Your Most Valuable Intellectual Property (And How Not to Leak It)
Why Your Database Client Is Costing You More Than You Think
What if Your Database Tool Was Actually Fun?
WhoDB ❤️ Postgres: Unlocking New Levels of Productivity and Insight
We Built WhoDB to Fix That
WhoDB: The Marie Kondo of Database Tools- Spark Joy by Letting Go of Bloat
Polyglot Persistence in One UI: Simplifying Modern Data Architectures with WhoDB
Breaking Boundaries: How WhoDB Runs on Just 100MB of RAM
The Great Unbundling of the Database GUI: From Bloat to Pure Speed
Every developer has seen it: a new teammate joins, clones the repo, runs docker compose up and then stops. They still need to install and configure a database client just to see a single table. That friction adds up. Different people use different tools, connection strings float around in Slack,