Hey everyone,
I'm Jozef. I work as a Product Manager and build side projects in my free time.
A few months ago, I needed a way to filter out explicit and NSFW images for an app. I realized the existing tools, like AWS Rekognition or Hive, target large companies. They have complicated pricing, heavy SDKs, and take too much time to set up for a solo dev trying to pass App Store guidelines.
So I built Tabu. It is an image and video moderation API made for indie developers and small teams.
Here is the tech stack:
- Machine learning: It uses TensorFlow.js (MobileNetV2) running on my own servers. Inference takes about 200ms.
- Privacy: Images process in memory and delete instantly. Nothing gets saved.
-
Caching: I added SHA-256 hashing with
lru-cacheto deduplicate requests. If you upload the exact same image twice, it skips the ML model and returns the cached result.
I need some feedback
I want to improve the product before a larger release. I am looking for a few developers to test it and tell me what is broken or confusing.
- Read the docs: Tell me if the setup steps make sense.
- Test the API: Get a free key, upload some edge-case images, and see if the caching works.
- Check the dashboard: Tell me if the UI is hard to use.
The free tier includes 5,000 requests per month, so you do not need a credit card to try it.
If you have a few minutes, please let me know what you think in the comments. I am here to learn.
