I created a website for curated list of free courses and certifications

Hacker News

I recently launched a website called CertifyMaster, and I'm thrilled to share it with you all. It's a curated list of free courses and certifications, aimed at helping people enhance their skills and advance their careers without breaking the bank. This project is a collaboration with CloudStudyNet, and I personally created the site to make quality education more accessible. I've also added a collapsible system to make exploring the website more user-friendly compared to the original GitHub repository created by CloudStudyNet. Additionally, I've implemented a filtering system to help you quickly find the courses you need and a sharing feature to easily spread the word. I'd love to get your feedback and any suggestions for improvement. Check it out and let me know what you think! - Mohammed Nuseirat

Visit product View on Hacker NewsMay 27, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

81%81% 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

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: friendly · Missing: plus, platform, intuitive

53%53% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos

52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: personal, education · Missing: mobile apps, ios, entrepreneurs

41%41% 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 · 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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