Mitigate Discord RAID attacks, block Unicode filter evasion, and stop rogue webhooks in <12ms. Zero-allocation AI moderation for high-scale Discord guilds. Aegitox runs a dual MiniLM-L6-v2 pipeline: Gate 1 detects toxicity, and Gate 2 maps intent to its exact target (Personnel, Self, System). Toxic payloads are instantly deleted and completely replaced with one of 120 targeted, de-escalating placeholders. Secure, zero-latency enterprise defense.
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Maker
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Hey Product Hunt! 👋 I'm the architect behind Aegitox.
If you manage high-scale Discord guilds, you know legacy regex bots and slow cloud APIs don't cut it against modern raids and toxicity. That's why we built Aegitox—an enterprise-grade AI moderation grid engineered from the ground up for strict $O(1)$ efficiency and zero-latency execution.
We took a fundamentally different approach to message interception. Toxic payloads are entirely deleted and replaced by our system before anyone even reads them.
Here is how our underlying architecture handles threats:
Dual MiniLM-L6-v2 Pipeline: We run two highly optimized semantic AIs on our dedicated Hetzner US backend, achieving a consistent 2-12 millisecond execution latency.
Target-Aware Detection: Gate 1 instantly detects the toxic payload. Immediately, Gate 2 maps the hostile intent to its exact target (Personnel, Self, or System).
Delete & Replace Protocol: The engine autonomously deletes the original threat and replaces it with a random, target-aware de-escalation placeholder. We have 40 unique, pre-vetted placeholders for each of the three categories (120 total stubs) to defuse the situation instantly.
Enterprise Infrastructure: An Angular v22+ command center backed by a zero-allocation .NET 10 API, sitting safely behind Cloudflare edge security.
I'd love for the developers and admins here to test our live preview. What are your thoughts on utilizing localized, target-aware semantic models over generalized cloud LLMs for real-time replacement moderation? Let me know below! 👇