GPU Prices on eBay

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GPU Prices on eBay

I've made yet another comparison site, this time for GPUs: https://gpu-prices.com/US/ It currently supports Australia, Canada, Ireland, the UK, and the US. The tech stack is Python for data pull and static site generation then Cloudflare Pages for actually serving the site. It updates three times a day, but I could change it to ~6x before I ran into ratelimits. I'm hosting it from a raspberry pi under my desk, so this setup means that if my network/power go out the data just becomes a bit stale, rather than the entire website going down, as well as preventing me from getting hug-of-death-ed. I would really appreciate some advice for how to market it. I'm an eighteen-year-old nerd with absolutely no clue how to do so, and I don't want to be the sleazy person spamming their affiliate links everywhere.

Visit product View on Hacker NewsFeb 23, 2024

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88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

65%65% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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