About
MindBacklog wasn't born in a boardroom. It was born from the exact problem every product manager faces — and the realization that nobody had solved it properly.
The Origin
I've built multiple startups. Every single time, I hit the same wall.
App Store reviews piling up in one tab. Reddit threads in another. Emails from customers forwarded by the support team. Feature requests from stakeholders dropping into Slack. Internal ideas scribbled in Notion docs nobody reads.
All of it scattered. None of it connected.
I'd spend entire Mondays just collecting and organizing feedback before I could even begin thinking about what to build next. And when it came time to prioritize? It was gut feel and whoever had the strongest opinion in the room.
I tried Jira. Great for tracking sprints — useless for deciding what to build. I tried Productboard. Better for organizing — but still manual. I tried pasting everything into ChatGPT. It forgot my product context every single time.
The gap was obvious: no tool connected the dots between scattered feedback, intelligent prioritization, and a roadmap grounded in real customer evidence.
So I built one.
"I was tired of building features based on who shouted loudest. I wanted a system that could tell me — with data, with context, with evidence — what actually matters."
— Aadarsh, FounderThe Journey
Built several products across different industries. Each time, the biggest bottleneck wasn't engineering or design — it was deciding what to build. Feedback was everywhere, prioritization was politics, and roadmaps reflected assumptions, not reality.
Advances in AI made something new possible: a system that could ingest feedback from every source, learn a product's specific context, cluster patterns intelligently, and score priorities without losing memory between sessions. The technology finally caught up to the problem.
Previous startups taught a hard lesson: building a perfect product means nothing if nobody's waiting for it. This time, the approach flipped — find paying users first, understand exactly what they need, then build precisely that. No assumptions. No "if we build it, they will come."
MindBacklog is being built alongside its first users — product managers and founders who feel this pain daily. They're not just customers. They're co-builders shaping the product roadmap, testing features early, and telling us what matters most.
The Approach
Every startup I've built before, I made the same mistake: spend months perfecting the product in isolation, then scramble to find users. Beautiful code, polished UI, zero revenue.
MindBacklog is built the other way around. Find the people with the problem. Validate they'll pay to solve it. Then build exactly what they need.
That's why the Founding Member program exists. It's not a marketing gimmick — it's the core strategy. Twenty product managers paying from day one, shaping features through direct feedback, keeping us honest about what matters and what doesn't.
If something we build doesn't solve a real problem for a real PM, we kill it. No sunk cost attachment. No feature bloat. Just the things that make your Monday morning less painful.
What We Believe
These aren't wall art. They're the filter for every feature, every decision, every line of code.
Every screen, every feature, every notification must help you find signal. If it adds noise, we cut it. Product managers are drowning in information — we're not adding more water.
Generic AI advice is worse than no advice — it feels helpful but leads you astray. Every MindBacklog recommendation is grounded in your product's specific context, market, and users.
Every prioritization decision should trace back to real user evidence — not a stakeholder's hunch. We make the data trail visible so you can defend your roadmap with confidence.
Roadmaps should reflect what's actually happening — not what you promised three months ago. Every feature on the timeline is backed by evidence and scored against real signals. Early truth beats late surprises.
AI suggests. You decide. MindBacklog will never auto-promote features to your roadmap or auto-generate stories without your review. The product manager's judgment is the final filter.
We publish our own roadmap. We share what we're building and why. Our founding members see the same mess behind the scenes that every startup has — and they help us clean it up.
Our Purpose
Mission
Give every product team an AI system that listens to customers at scale, scores what matters with real evidence, and produces roadmaps grounded in reality — not politics.
Vision
A world where no product team ships the wrong feature because they couldn't hear their customers clearly enough.
The Vision
MindBacklog today solves the feedback-to-roadmap pipeline. But the vision is bigger.
We're building toward a world where every product decision is informed by real evidence, scored by AI that knows your context, and validated before a single line of code ships.
Product management shouldn't require a 10-person team, three enterprise tools, and a $50K annual budget. It should be accessible to a solo founder with an app and 200 users just as much as a VP of Product with 50 engineers.
We build in public. Here's where to watch.
Founding members don't just use the product — they shape it. If you're a PM who's felt this pain, we'd love to build alongside you.
Or just say hi — hello@mindbacklog.com
MindBacklog