Remember the last time you bought something at a discount, only to see it later for the same price without the discount? Or when the product costs more today than it did yesterday. Did you feel cheated? Are you ready to look behind the screen of manipulation and lies? Spycost helps you see when you’re paying more while thinking you’re paying less. It gives you the full price picture, so you can decide whether it’s actually worth it.
@spiri7 thank you! Not yet, but a browser extension is already in the backlog and it’s one of the priority next steps for Spycost. The idea is exactly that: to let you open a product page and quickly see the price history directly there, without needing to switch context.
@kate_ramakaieva thank you so much, Kate! Really appreciate the support. Right now Spycost is focused on the mobile app, and the browser extension is definitely one of the next priority steps. The idea is to make price tracking useful directly while shopping, without needing to switch context.
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Nice concept! Does it work across most online stores, or are you focusing on specific retailers first?
@nadiia_prokofieva thank you! Spycost isn’t limited to a fixed list of retailers. It’s designed to work with the vast majority of online stores, and so far it has worked well across different shops and regions.
Right now the focus is reliable tracking for specific products, but I definitely want to expand this in the future so you can track not only one exact product, but a whole product class too, for example coffee machines with certain parameters across multiple brands and stores.
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Love the idea, I've been burned by fake discounts before, but I also wonder how often the best price is worth waiting weeks or months for.
@reda_roqai_chaoui thank you, Reda! That's exactly the tradeoff I think about too. The goal isn't to make people wait forever for the absolute lowest price, because sometimes buying now is worth it. Spycost is more about giving you the context: was this price recently normal, is it trending down, and does the "discount" actually look real. Then you can decide whether waiting makes sense for that specific product.
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Context specific is the right call. What saved us when we stored scraped prices was writing the request context into the same row as the number, so region, currency and whether we were logged in all travelled with it. Before that we lost an afternoon chasing a price drop that turned out to be a different geo answering the same URL.
@dipankar_sarkar exactly, that’s a very useful lesson. The price itself is only half of the data; the request context has to travel with it, otherwise the history can become misleading very quickly.
That’s the direction I’m taking with Spycost too: each snapshot should be tied to the context that produced it, like region, currency, store conditions, availability, and whether it came from an anonymous or user-side session. Then the baseline is not just “this URL was X yesterday”, but “this product under this context was X yesterday”.
Your geo example is exactly the kind of false signal I want to avoid. If the data is mixed or uncertain, Spycost should make that visible instead of pretending the answer is cleaner than it really is.
This is painfully relatable. a discount can make something feel urgent even when it was never a priority in the first place, and finding out later that the "sale" price was basically normal makes it even worse :)
I like that Spycost does not try to decide for the user, it just shows the real price history so the choice is based on context instead of pressure. Curious how it handles stores that constantly change product URLs, variants, or create fake reference prices to make discounts look bigger.
@andrasczeizel thank you! I’ve been thinking a lot about how often shopping decisions are shaped by urgency rather than real value. A discount can feel like information, but sometimes it’s just pressure wrapped in a nice label.
That’s what I’m trying to explore with Spycost: not to tell people what to buy, but to give them a calmer view of the price over time. When you can see the history, it becomes easier to pause for a second and decide with a bit more confidence.
This resonates with me. Last November, I waited weeks for a deal on a coffee machine. When the discount finally appeared, something seemed off. I checked a screenshot I had taken earlier, and the "sale price" was the same as it had been a month earlier. They had increased the price just to reduce it again. I really felt manipulated. I wish I had Spycost then. I'm definitely going to try your tool.
@vitalii_rybka thank you, Vitalii! That coffee machine example is exactly the kind of situation that pushed me to build Spycost. The frustrating part is not only the price itself, but the feeling that the “discount” is designed to rush you into a decision without the full context. I hope Spycost helps you catch those moments earlier and buy only when the deal is actually real. Would love to hear what you think after trying it.
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"Raise the price first, then slap a discount on it" — feels like scammers all over the world are running the exact same playbook. I've honestly stopped trusting those flashy discount labels on shopping sites; too many times the "deal" was just the inflated price wearing a costume.
So I'm definitely going to give Spycost a try. Hoping this little spy-duck can see through the fake discounts for me and actually guard my wallet for once. Congrats on the launch, Hlib!
@kryptonite_wei Thanks so much! This is exactly the frustration behind Spycost: once stores train you to doubt every flashy label, a “discount” stops being helpful and starts becoming noise.
Spycost is meant to bring the decision back to the price history: was this actually cheaper before, is it near a real low, or did the reference price suddenly jump? I hope it helps you ignore the pressure and buy only when the deal is genuinely worth it.
Is there a browser extension that allow me to see price history for specific product directly on PDP?
Project look interesting, good luck 🍀 with launch
Spycost
@spiri7 thank you! Not yet, but a browser extension is already in the backlog and it’s one of the priority next steps for Spycost. The idea is exactly that: to let you open a product page and quickly see the price history directly there, without needing to switch context.
FuseBase
Spycost
@kate_ramakaieva thank you so much, Kate! Really appreciate the support. Right now Spycost is focused on the mobile app, and the browser extension is definitely one of the next priority steps. The idea is to make price tracking useful directly while shopping, without needing to switch context.
Spycost
@nadiia_prokofieva thank you! Spycost isn’t limited to a fixed list of retailers. It’s designed to work with the vast majority of online stores, and so far it has worked well across different shops and regions.
Right now the focus is reliable tracking for specific products, but I definitely want to expand this in the future so you can track not only one exact product, but a whole product class too, for example coffee machines with certain parameters across multiple brands and stores.
Love the idea, I've been burned by fake discounts before, but I also wonder how often the best price is worth waiting weeks or months for.
Spycost
@reda_roqai_chaoui thank you, Reda! That's exactly the tradeoff I think about too. The goal isn't to make people wait forever for the absolute lowest price, because sometimes buying now is worth it. Spycost is more about giving you the context: was this price recently normal, is it trending down, and does the "discount" actually look real. Then you can decide whether waiting makes sense for that specific product.
Context specific is the right call. What saved us when we stored scraped prices was writing the request context into the same row as the number, so region, currency and whether we were logged in all travelled with it. Before that we lost an afternoon chasing a price drop that turned out to be a different geo answering the same URL.
Spycost
@dipankar_sarkar exactly, that’s a very useful lesson. The price itself is only half of the data; the request context has to travel with it, otherwise the history can become misleading very quickly.
That’s the direction I’m taking with Spycost too: each snapshot should be tied to the context that produced it, like region, currency, store conditions, availability, and whether it came from an anonymous or user-side session. Then the baseline is not just “this URL was X yesterday”, but “this product under this context was X yesterday”.
Your geo example is exactly the kind of false signal I want to avoid. If the data is mixed or uncertain, Spycost should make that visible instead of pretending the answer is cleaner than it really is.
YourSitee
This is painfully relatable. a discount can make something feel urgent even when it was never a priority in the first place, and finding out later that the "sale" price was basically normal makes it even worse :)
I like that Spycost does not try to decide for the user, it just shows the real price history so the choice is based on context instead of pressure. Curious how it handles stores that constantly change product URLs, variants, or create fake reference prices to make discounts look bigger.
Spycost
@andrasczeizel thank you! I’ve been thinking a lot about how often shopping decisions are shaped by urgency rather than real value. A discount can feel like information, but sometimes it’s just pressure wrapped in a nice label.
That’s what I’m trying to explore with Spycost: not to tell people what to buy, but to give them a calmer view of the price over time. When you can see the history, it becomes easier to pause for a second and decide with a bit more confidence.
Hey @Spycost Team, congrats on launching!
This resonates with me. Last November, I waited weeks for a deal on a coffee machine. When the discount finally appeared, something seemed off. I checked a screenshot I had taken earlier, and the "sale price" was the same as it had been a month earlier. They had increased the price just to reduce it again. I really felt manipulated. I wish I had Spycost then. I'm definitely going to try your tool.
Spycost
@vitalii_rybka thank you, Vitalii! That coffee machine example is exactly the kind of situation that pushed me to build Spycost. The frustrating part is not only the price itself, but the feeling that the “discount” is designed to rush you into a decision without the full context. I hope Spycost helps you catch those moments earlier and buy only when the deal is actually real. Would love to hear what you think after trying it.
"Raise the price first, then slap a discount on it" — feels like scammers all over the world are running the exact same playbook. I've honestly stopped trusting those flashy discount labels on shopping sites; too many times the "deal" was just the inflated price wearing a costume.
So I'm definitely going to give Spycost a try. Hoping this little spy-duck can see through the fake discounts for me and actually guard my wallet for once. Congrats on the launch, Hlib!
Spycost
@kryptonite_wei Thanks so much! This is exactly the frustration behind Spycost: once stores train you to doubt every flashy label, a “discount” stops being helpful and starts becoming noise.
Spycost is meant to bring the decision back to the price history: was this actually cheaper before, is it near a real low, or did the reference price suddenly jump? I hope it helps you ignore the pressure and buy only when the deal is genuinely worth it.