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Supervisor
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Supervisor

Moderation that reads intent, not just keywords.

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AI-powered content moderation API for Discord and web apps. Filter toxic and harmful content in real-time with advanced machine learning models.

Why choose Supervisor?

- Understands context instead of relying on keywords

- Understands intent

- Reduces false positives with advanced models

- Fully configurable to fit your community

- Provides real-time protection without slowdowns

- Privacy-focused and built to scale

Example Image
Example Image
Example Image
Example Image

Features

Text Moderation

Image Moderation

Discord Bot Integration

Implicit Moderation

Context Awareness

REST API

Use Cases

Gaming Communities

Social & Dating Apps

Marketplaces & Reviews

Forums & Communities

Comments & Chat

AI Safety

Comments

Hey everyone, Jaiden here. I built Supervisor, an AI content moderation platform with a REST API at its core, catching toxicity, hate speech, spam, and NSFW content without writing a single regex rule. Plug it into whatever you're building. Discord is one integration we offer, but the API works completely standalone. Just shipped 2.0. What's new: New models with more labels, catching stuff the old ones missed Image moderation, so it's not just text anymore Implicit labeling, meaning it catches things that aren't said outright, not just keyword matches I'm a solo dev on this. It runs on my own ML pipeline rather than wrapping someone else's API, so I control accuracy and can add new detection categories whenever needed. Would love feedback, especially if you're building something that needs content moderation, Discord or otherwise. Bugs, feature requests, "why doesn't it catch X" are all welcome, I read everything here.

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Comments

Hey everyone, Jaiden here. I built Supervisor, an AI content moderation platform with a REST API at its core, catching toxicity, hate speech, spam, and NSFW content without writing a single regex rule. Plug it into whatever you're building. Discord is one integration we offer, but the API works completely standalone. Just shipped 2.0. What's new: New models with more labels, catching stuff the old ones missed Image moderation, so it's not just text anymore Implicit labeling, meaning it catches things that aren't said outright, not just keyword matches I'm a solo dev on this. It runs on my own ML pipeline rather than wrapping someone else's API, so I control accuracy and can add new detection categories whenever needed. Would love feedback, especially if you're building something that needs content moderation, Discord or otherwise. Bugs, feature requests, "why doesn't it catch X" are all welcome, I read everything here.

Premium Products