Web · Personal product
Solo product engineer — web, API, multi-model routing, and analytics
AutoCommentIQ
AI automation for YouTube comments and engagement
What it is
AutoCommentIQ helps YouTube creators reply, moderate, and read the room. A TypeScript web app talks to REST APIs that route across LLM providers so a creator can generate replies, chat through a thread, and inspect video analytics without living in YouTube Studio plus ChatGPT in two windows.
The product is the workflow: one-click replies, real-time chat-style sessions, and analytics that tell you which videos actually need attention.
Why I built it
Creators drown in comments. Generic chatbots do not know the video, the tone, or which threads matter. I built a dedicated engagement desk that sits on the YouTube workflow instead of a blank prompt box.
Whom it is for
YouTube creators and small media teams who need faster, higher-quality comment handling without hiring a full community manager.
Aim
Turn comment sections into a manageable inbox with AI that can draft, route, and show performance in one place.
Goal
A daily tool for engagement—not a demo that generates one funny reply.
Hope
That creators spend time on the comments that change the channel, and AI handles the repetitive, still-human-sounding rest.
What it does
- One-click AI replies plus real-time chat-style workflows
- Multi-model AI routing and YouTube engagement analytics
Stack
TypeScript · Node.js · Next.js · LLM APIs