---
title: Saywize
description: An AI-powered YouTube analytics platform for creators and brands, focused on audience sentiment and scalable growth insights.
type: project
url: "https://www.bariscemant.com/projects/saywize"
year: 2025
role: Founder & Software Developer
status: live
categories: [ai, web, backend]
technologies: [Python, FastAPI, PostgreSQL, Redis, Celery, RabbitMQ, WebSocket, Gemini API, Clerk, Next.js, TypeScript, Tailwind CSS, Docker, Coolify, Cloudflare, AWS, Google Cloud, Agentic Coding]
author: Baris Cem Ant
site: "https://www.bariscemant.com"
language: en
---

# Saywize

> An AI-powered YouTube analytics platform for creators and brands, focused on audience sentiment and scalable growth insights.

- **Built by**: Baris Cem Ant, Full Stack Developer (https://www.bariscemant.com)
- **Role**: Founder & Software Developer
- **Year**: 2025
- **Status**: live
- **Organization**: Saywize — Founder (https://www.saywize.com/)
- **HTML version of this page**: https://www.bariscemant.com/projects/saywize

## Overview

I built Saywize as a production AI analytics product that combines large-scale comment intelligence, performance tracking, and actionable growth recommendations for YouTube teams. The product earned two startup program awards through AWS Activate and Google Cloud for Startups, helping scale infrastructure with cloud credits.

## Technologies

Python, FastAPI, PostgreSQL, Redis, Celery, RabbitMQ, WebSocket, Gemini API, Clerk, Next.js, TypeScript, Tailwind CSS, Docker, Coolify, Cloudflare, AWS, Google Cloud, Agentic Coding

## Key Features

- Built AI-powered YouTube comment analysis pipelines to extract sentiment and recurring audience patterns
- Delivered daily, weekly, and monthly channel performance analytics with actionable growth signals
- Implemented thumbnail and brand consistency checks to improve visual CTR performance
- Developed asynchronous processing with Celery and RabbitMQ for reliable long-running AI workloads
- Integrated real-time notification and status updates over Redis and WebSocket channels
- Implemented secure auth and identity flows with Clerk and Google OAuth
- Received 2 startup program awards: AWS Activate and Google Cloud for Startups

## Links

- **Website**: https://www.saywize.com/
- **Live demo (Example Comment Analysis)**: https://www.saywize.com/share/i2aBCy1dD0HaD5eRlLkgc0zLIA0UvJWeAYJDhVBLIEw

## Screenshots

- https://www.bariscemant.com/images/projects/saywize/1.png
- https://www.bariscemant.com/images/projects/saywize/2.png
- https://www.bariscemant.com/images/projects/saywize/3.png
- https://www.bariscemant.com/images/projects/saywize/4.png

## Other projects by Baris Cem Ant

- [Cilt365](https://www.bariscemant.com/projects/cilt365.md): A clinical-grade skincare recommendation engine that turns a dermatologist-designed questionnaire into a personalized routine and product match, with clinical logic held as editable data rather than code.
- [Voxx](https://www.bariscemant.com/projects/voxx.md): A FastAPI backend for a fitness and health-tracking mobile app, delivering AI-driven workout planning, wearable device integration, and real-time AI coaching chat — running serverless on GCP Cloud Run with Terraform-managed infrastructure.
- [FastAPI Boilerplate](https://www.bariscemant.com/projects/fastapi-boilerplate.md): A production-ready FastAPI starter with authentication, chatbot modules, middleware, and deployment workflows.