As an entrepreneur, doing this kind of not-so-glorious thing to promote my own features, I already feel quite pathetic about myself. Being pointed out by rwl4, I can also take a deep breath. I would like to apologize to the people who have been disturbed, and also apologize to the platform.

Cool tech but right now making money with AI is 10x harder than raising from investors.

I'd recommend consulting on the side to keep lights on, there is demand for AI consulting, while there is still hype about AI.

I respect the hustle.

As an entrepreneur, you're light years further than most of us will ever be.

Chin up! Launch again, launch different, launch something else, Pivot if need be. You make me proud.

I am an entrepreneur, and my startup team is about to fail. In response to the questions raised by rwl4, I am very sorry. All the features on our website are completely free for everyone to use. If we can help some people, it will be a small consolation for the team before the failure. I apologize again.

Look, I get it. Startups are hard. Desperation can lead to poor choices. But spamming isn't the answer and will burn bridges faster than you can build them.

If you are genuinely sorry and want to (possibly) turn this around, here are some ideas:

1. Consolidate your work into one solid well documented Github repo, including a small toy model that people can actually use and play with.

2. Write a blog post or tutorial about your tech. That'll show your expertise without making people feel like they are being duped.

3. Engage in relevant communities genuinely. Build relationships, not just a user base.

4. Use proper channels for promotion... Show HN exists for a reason.

Remember, reputation is currency in this industry. It's hard to earn and easy to lose. Take the long view, build something good, be transparent, and let organic interest do its thing...

If your product is actually solid, there are ways to get it out there. It might be slower, but it's at least sustainable. Good luck.

Thank you very much, my friend. You are a good person.

I am an entrepreneur, and my startup team is about to fail. In response to the questions raised by rwl4, I am very sorry. All the features on our website are completely free for everyone to use. If we can help some people, it will be a small consolation for the team before the failure. I apologize again.

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Audio signal processing plays an important role in various applications such as speech recognition, music information retrieval, and speech synthesis. Among them, Mel spectrogram is a commonly used frequency domain feature representation method, which describes the sensitivity of the human auditory system to frequency. In this article, we will conduct performance tests on three commonly used audio processing libraries - audioflux, torchaudio, librosa, and essentia - to evaluate their efficiency in computing Mel spectrograms.