Quvirl
Product research platform powered by real market signals.
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July 17, 2026
Introducing Quvirl 🚀
Hey everyone! 👋
I'm excited to share Quvirl, a product research platform I've been building for ecommerce sellers.
The biggest problem I kept seeing was that by the time a product becomes popular on social media, it's often already saturated. Product research also meant switching between multiple tools just to validate demand.
Quvirl brings together:
• Google Trends insights
• Amazon demand signals
• Supplier data
• Product scoring and rankings
The goal is simple: help sellers make informed, data-driven product decisions instead of relying on guesswork.
I'd genuinely appreciate any feedback—whether it's about the product, UI, features, or overall concept.
🌐 https://quvirl.com
7 Comments
The interesting opportunity isn't combining more ecommerce data sources—it's helping sellers recognize opportunities before they become visible to everyone else. I'd keep validating whether customers ultimately trust Quvirl because of the data it aggregates or because its scoring consistently helps them avoid crowded markets. That's the promise that's hardest for competitors to copy.
Thanks, Aryan! That's exactly the direction we're building toward. The goal isn't just to aggregate data—it's to help sellers make more confident, data-driven decisions. We'll keep refining the scoring model as we gather more real-world feedback and user insights. Really appreciate the thoughtful feedback! 🙌
That makes sense.
One thing I'd keep watching is whether users trust the score because the inputs look comprehensive or because the outcome consistently matches decisions they feel were difficult to make.
The second is usually what turns a metric into a product people rely on.
I completely agree. Data alone isn't enough—the score has to consistently help users make better decisions. That's the benchmark we're aiming for, and we'll keep validating it with real-world outcomes as Quvirl grows. Really appreciate you taking the time to share this.
I'm glad it resonated.
Reading your replies gave me one thought about how scoring products earn trust over time — beyond just improving the model itself. I'd rather explain it in the context of Quvirl than reduce it to a few comments here.
If you're interested, what's the best email to reach you on?
Thanks, Aryan! I really appreciate you taking the time to think about Quvirl. I'd love to hear your thoughts in more detail. Feel free to reach out through our contact page, and I'll get back to you personally.
Thanks! I’ve just sent it over.
Looking forward to hearing your thoughts whenever you have a chance.