PriceProven
Track daily prices to verify if discounts are real.
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The part about showing when the price actually jumped before a “sale” is what makes PriceProven click for me. With $100K/mo already, this feels like it could be pulling in a lot more organic traffic than it probably is right now. That kind of existing traction makes the gap pretty interesting. Are you seeing people use it more for everyday shopping or the big sale events?
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Hi Muhammad, thanks for the kind words and for checking out the post! Just to clarify a small point—we are actually still in the pre-revenue stage, so we aren't hitting $100K/mo just yet (though that’s definitely a great milestone to aim for!).
Regarding usage, the initial hook for most people is definitely the big sale events like Black Friday or Prime Day, as that's when the "fake discount" anxiety hits hardest. However, once they see how the raw data exposes everyday pre-sale mark-ups, we're seeing them run regular checks on standard purchases to make sure they aren't buying at the top of a price curve. The goal is to shift that behavior into an everyday shopping habit
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That actually makes the SEO opportunity more interesting. Black Friday and Prime Day give you the obvious spikes, but the everyday-shopping use case gives you a much bigger evergreen search layer.
I’d map the questions people ask before buying — things like checking price history, whether a discount is real, when to buy, and whether a current price is actually low — then build around the ones that have strong intent and weaker SERPs. That could help turn the seasonal hook into year-round discovery.
That’s the kind of search-intent research I work on, so I’d be happy to share a few angles I’d test for PriceProven if useful.
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Hi Muhammad, that is such a brilliant perspective! You hit the nail right on the head! 🤩
I completely agree with you about the 'evergreen' SEO opportunity. Capturing those pre-purchase questions to turn seasonal spikes into year-round discovery is exactly the kind of sustainable, long-term growth we want to aim for.
I'm incredibly excited and would be super grateful if you could share some of those search-intent angles! Your expertise is exactly the kind of insight PriceProven needs to optimize right now.
What's the best way to connect? Feel free to drop them here in the thread, or shoot me a DM on X (Twitter) if that's easier for you. Thanks so much for the enthusiasm and the top-tier insights! 🙌
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The transparency angle comes through clearly across both posts. Curious how people react when the tool tells them there isn't enough history to verify a discount.
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Thanks Aryan! Honestly, the reaction has been very positive. Because the dashboard is built to feel like a raw data terminal with high information density, users actually appreciate the blunt honesty. When they see a 'Not Enough Data' flag, it reinforces the idea that we aren't just guessing or throwing fluff at them to keep them engaged. It sets an expectation of absolute transparency and builds a lot of trust right out of the gate.
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That’s an interesting trust signal. People accepting “Not Enough Data” rather than expecting an answer says a lot about how the transparency is being perceived. If you’re open to continuing the conversation, what’s the best email to reach you at?
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Thanks, Aryan! I appreciate that. I try to keep my inbox light, but I'm happy to continue the conversation right here in the comments. What did you want to discuss?
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That’s fair. I was mainly curious about how you’re thinking about the business as it develops, but happy to keep it here.
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Awesome! I'm an open book and would love to discuss the business side of things right here.
Right now, since we're in the pre-revenue stage, my absolute focus is on nailing the data architecture and building a core base of users who truly value this raw, high-density transparency approach.
As the business develops, I'm thinking about a freemium model—keeping the core historical tracking and 'Not Enough Data' flags completely free for everyday shoppers, but potentially offering premium features like real-time drop alerts, custom tracking lists, or even an API for power users down the line.
I'd love to hear your take on it! What specific aspects of the business development were you most curious about? Any models you've seen work well for this type of data-heavy tool?
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That’s exactly the kind of thing I’d rather discuss properly than unpack in a comment thread. What’s the best email to reach you on?
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