MDLR Alpha Release: Building Clarity from Feedback
16 Dec 2024 • 3 min read
Feedback drives projects forward—but let’s face it, it often feels chaotic. Comments get scattered, buried, and forgotten. MDLR is here to change that.
We’re introducing the alpha release of MDLR: an open-source framework for organizing, summarizing, and making sense of feedback at scale.
👉 Explore the docs here: https://www.mdlr.app/docs
What is MDLR?
At its core, MDLR takes feedback—notes, comments, or thoughts—and distills it into structured, actionable summaries. It’s about helping you focus on what matters, without the manual sorting.
- Drop your feedback into MDLR.
- Use prompts to target what you need:
- “What are the main blockers mentioned?”
- “Summarize key client updates this week.”
- Get a clean, refreshed summary that adapts as feedback grows.
Think of MDLR as a lightweight engine for clarity—whether for a single brainstorming session or an evolving project.
Why Alpha, and Why Now?
This alpha is not perfect. It’s simple, focused, and intentionally early because we want to build MDLR with the people who need it most—developers and teams who value structured thinking.
Right now, MDLR works best with:
✅ React/Next.js for seamless frontend integration.
✅ Supabase as a robust, easy-to-set-up backend for managing projects and feedback buckets.
We’re prioritizing a disciplined foundation: real-time insights that are fast, flexible, and developer-friendly.
What Can You Expect?
-
Organize Feedback
Projects bring comments together in one place, keeping chaos under control. -
Dynamic Summaries
Use prompts to focus on specific insights—blockers, progress updates, or unresolved concerns. -
Built for Iteration
Summaries evolve as feedback grows. It’s built to adapt alongside your project.
What We Need From You
This alpha is just the first step, and we know there’s work to do. Here’s where we need your insight:
- Integration Feedback: How does MDLR fit into your React/Next.js + Supabase projects?
- Smarter Summaries: Are the prompts delivering what you need? What’s missing?
- Next Steps: What should we prioritize to make MDLR more impactful?
We’re here to listen, iterate, and refine based on your input.
Where to Start
- 👉 Dive into the documentation: https://www.mdlr.app/docs
- Explore the alpha in your project setup.
- Share your thoughts—what works, what doesn’t, and where you see potential.
A Disciplined Approach to Clarity
MDLR is not just another "AI tool." It’s an evolving framework designed to bring discipline to how teams handle feedback. This alpha is raw, but it’s a step toward something more meaningful: structured, actionable insights you can trust.
We’re building this together. Your thoughts and feedback will shape where MDLR goes next.
Let’s make feedback work for us—not against us. 🚀