Aegisora

The human-escalation layer is the part that makes this materially different from a conventional allow/block model. It also makes the operational side of the product much more interesting than the middleware itself.

Hey, congrats on building Aegisora — the zero-trust sidecar proxy angle is genuinely one of the more thoughtful approaches I've seen to the AI agent security problem.

I'm the founder of Zarek (https://zarek.tech/), a launch copilot for indie founders. I ran Aegisora through it to get a sense of what a real launch roadmap looks like for your product — thought you might find the output useful.

Here's what Zarek produced:

SEO / Blog — Draft a technical post like "How we block PII leakage in AI agent pipelines" targeting searches from platform engineers evaluating agent observability tools.

Hacker News (Show HN) — Lead with the fail-closed sidecar angle: "Show HN: Aegisora — a zero-trust proxy that enforces least-privilege tool calls for AI agents, runs inside your own VPC." That framing hits the self-hosting crowd hard.

Reddit (r/MachineLearning / r/devops) — Post a short breakdown of a real prompt injection it caught in testing, with the audit log output. Concrete examples convert lurkers into signups.

Product Hunt — Tagline draft: "See what your agents actually do — and stop what they shouldn't." Gallery includes a side-by-side of a blocked PII call vs. an allowed one.

Cold outreach (platform teams) — Short one-liner for LinkedIn/email: "If your agents can call any API with any payload, you don't have a security posture — Aegisora fixes that in one sidecar."

Each of these has channel-specific copy, timing, and a checklist baked in.

If you want the full roadmap generated for Aegisora specifically, happy to walk you through it — or just reach out directly: wangc2016217@gmail.com.