Vectorly

Vectorly

Vectorly is an AI-powered web automation and video compression platform that helps developers build reusable web scraping routines without APIs and compress videos up to 50x smaller without quality loss.
https://console.vectorly.app/?ref=producthunt
Vectorly

Product Information

Updated:Dec 11, 2025

What is Vectorly

Vectorly is a technology company that offers two main product lines - a web automation platform and a video compression service. The web automation tool allows developers to create reusable routines for web scraping and API integration without needing direct API access. On the video side, Vectorly provides AI-based video compression and enhancement technology that can significantly reduce file sizes while maintaining quality, particularly effective for animations, screencasts, and video learning content. Originally started as an educational app company (dot Learn) by MIT graduates, Vectorly pivoted to focus on providing B2B technology solutions.

Key Features of Vectorly

Vectorly is a versatile platform that combines AI-powered video enhancement technology with team management capabilities. It offers AI-based video compression and upscaling features, web scraping automation tools, and comprehensive team skill management functionality. The platform enables companies to deliver high-quality video experiences, automate web interactions without APIs, and manage team development through skill tracking and career matrices.
AI Video Enhancement: Uses AI filters to upscale and enhance video in real-time on users' devices, enabling smooth video experiences over any network connection
Web Automation Tools: Provides tools to create and manage web scraping routines without requiring APIs, using Chrome's DevTools protocol for browser state capture
Team Skill Management: Offers comprehensive skill tracking, career matrices, and performance management tools to guide team development and growth
Integration Capabilities: Integrates with popular tools like Jira, Discord, Microsoft Azure, Zapier, GitLab, and other enterprise applications

Use Cases of Vectorly

Video Conferencing Enhancement: Improving video quality and implementing virtual backgrounds in video conferencing applications without excessive CPU usage
Team Performance Management: Managing engineering and design teams' skills, setting growth plans, and tracking professional development
Web Data Collection: Automating data collection from websites without available APIs for business intelligence and research purposes

Pros

Comprehensive integration options with popular enterprise tools
Powerful AI-based video enhancement capabilities
Flexible web automation without requiring API access

Cons

May require technical expertise to fully utilize web automation features
Video enhancement features may be resource-intensive

How to Use Vectorly

Install Vectorly: Clone the repository with 'git clone https://github.com/VectorlyApp/web-hacker.git' and cd into the directory. Create and activate a virtual environment using uv. Install dependencies using 'uv sync' and install in editable mode with 'uv pip install -e .'
Launch Chrome in Debug Mode: Enable DevTools protocol on 127.0.0.1:9222 to allow Vectorly to monitor browser activity
Perform Target Actions: Run the browser monitor and manually perform the actions you want to automate. Vectorly will capture browser state including network traffic, cookies, storage, HTML and JS
Specify Task Requirements: Describe what data you want extracted or what API behavior you want replicated. For example 'extract all upcoming bookings' or 'search flights with these parameters'
Generate Routine: Run the routine discovery script. The AI agent will analyze captured data and generate a JSON routine containing browser steps and API calls
Test Locally: Review and test the generated routine JSON locally to verify it works as expected
Deploy to Production: Go to console.vectorly.app to deploy your routine. This will expose it as an API endpoint or MCP server for use in production environments

Vectorly FAQs

Vectorly is a tool that helps users access data behind UI interactions and closed APIs by recording website interactions and converting them into reusable API endpoints or MCP tools through AI-powered automation.

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