Connect your SaaS tools and database in minutes, explore data in natural language, build always-up-to-date dashboards, and trigger alerts or actions based on your business logic — all without writing a single line of SQL.
AI data agent to query, visualize and activate your data.
Connect your SaaS tools and database in minutes, explore data in natural language, build always-up-to-date dashboards, and trigger alerts or actions based on your business logic — all without writing a single line of SQL.
Hi folks, I’m really excited to introduce you to Relationchips 🚀 How should we use data in 2025? Despite all the AI hype, the truth is: 🔹 90% of companies still struggle to answer basic questions like “How many customers do we have?” 🔹 And 100% of data teams waste 30% of their time exporting or querying the same data over and over again No-code tools, RAG demos, unstructured data POCs, MDP hype — they’re everywhere. But simple, reliable access to structured data? Fast, flexible querying? Clean,
great idea well executed, love that
I had the chance to test the tool, it's very intuitive and practical for querying and analyzing data! Everything that Grafana is missing
Wooooh just tried it, it’s powerful ! Can definitely see the hours gained by giving teams direct access to their needs without us coding for them 😂
Looks really what we need, congrats guys!
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.