Co

Compare Price for HDD, SSD, NAS and More

Hacker News

Compare Price for HDD, SSD, NAS and More

Hey everyone! My name is Toutoulliou, and I’m a beginner developer passionate about building websites. To practice and improve my skills, I decided to take on a real-world project: a price comparison tool for tech products like SSDs, HDDs, NAS devices, Micro SD cards, USB drives, and more. I used Django for the backend, TailwindCSS and Flowbite for the design, and even managed the deployment myself using Docker. It was a real challenge, but so rewarding! My website pulls data from eBay and AliExpress APIs to bring you the best deals on the market. And here’s some exciting news: integration with Amazon is in the works! The goal? To help you find the most competitive prices in just a few clicks, whether you’re looking for a high-performance SSD, a high-capacity HDD, or a Micro SD card for your camera. In addition to the price comparison tool, I’ve added a RAID calculator to help you determine the ideal configuration based on your storage and data security needs. This is just the first step toward a suite of practical tools that I plan to expand over time. This website is first and foremost a learning journey for me. Every line of code, every feature added is a new step in my development path. If you have suggestions or ideas for tools to integrate, feel free to share them with me! Let me know what you think!

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
92%92% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: dock, new, using · Missing: mac, agents, macos
65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
41%41% 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
39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
9%9% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: reward · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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