Hey <!everyone> in the Meltano Community! 👋 It’s been a while since we’ve shared an announcement here, but this one’s worth the wait. As a quick reminder, Arch Data, Inc. arch (formerly Meltano, Inc.) leverages Meltano as part of our end-to-end AI data & analytics platform. Arch is focused on helping less technical teams that may not have dedicated data engineers on staff—but Meltano continues to thrive, powering our platform and evolving through updates to the Core, the SDK, and MeltanoHub (checkout the Changelog for more info). Now we’re very excited to introduce "Mel", our AI-powered Data Engineer, designed to supercharge data engineering workflows with an AI-first approach. Here’s why we think Mel will excite the Meltano community: • Meltano at its Core: meltano Mel runs any Meltano connector—*custom, private, or public*—and supports nearly any destination. • Effortless Pipelines: Simply type commands like “Set up a connection between [Connector X] and [Warehouse Y]” and watch it happen in minutes. • Powerful Transformations: Run as many dbt Core transformations as you need. • Expert Support: Alongside Mel, you get access to the Arch team to handle scaling, orchestration, and infrastructure. Why Arch + Mel Might Not Be for Everyone: • It’s a paid service, so it may not suit those with tight budgets. • Not everything is fully code-first yet—though we’re working on this alignment with Meltano’s ethos. • We’re focused on Meltano SDK-based connectors and dbt transformations, so other utilities may not be supported. That said, if you’re a smaller team looking to bring AI into your data stack, level up your data engineering workflows, and save time, we’d love to chat. 🔗 Check out our blog and video here to see Mel in action and let us know your thoughts. We’d love to hear any ideas you have on workflows or features on your wishlist. We’re building something exciting and can’t wait to hear from you!