Sachin Borse
Sachin Borse
HookSmith
Forging high performing Hooks and CTAs
Purpose:
HookSmith is a web application that aims to gather insights and data from multiple online platforms, particularly focusing on social media and video content. It provides users with valuable information and analysis that can be used for marketing, content creation, and audience engagement.
Key Features:
1. Data Scraping:
The application scrapes data from platforms like YouTube and Reddit.
It collects relevant content, including titles, URLs, and possibly additional metadata (like descriptions or comments).
2. Data Analysis:
After scraping, the application analyzes the collected data to extract insights.
It likely uses natural language processing (NLP) techniques to summarize content, identify key triggers, and generate marketing insights.
3. User Authentication:
The application includes user authentication features, allowing users to sign up and log in securely.
It uses JWT (JSON Web Tokens) for managing user sessions.
API Integration:
The application integrates with various APIs, such as the YouTube Data API and possibly others for sentiment analysis or content generation (like OpenAI's API).
5. Data Storage:
Scraped and analyzed data is stored in AstraDB, a cloud database service, ensuring that the data is accessible and manageable.
The application likely uses structured data storage to facilitate easy retrieval and analysis.
6. Web Interface:
The application provides a web interface where users can input their queries (e.g., topics or categories) and receive insights based on the scraped data.
It may display results in a user-friendly format, including charts, summaries, and actionable recommendations.
Deployment:
The application is deployed on a server, accessible via a subdomain (e.g., hooksmith.neusec.in).
It uses Nginx as a reverse proxy to handle incoming requests and forward them to the Flask application.
Technical Stack:
Backend: Flask (Python web framework)
Database: AstraDB (for data storage)
APIs: YouTube Data API, Reddit API, OpenAI API (for content generation and analysis)
Authentication: JWT for secure user sessions
Web Server: Nginx (for serving the application and handling requests)
Environment Management: Python virtual environments (venv) for dependency management
Potential Use Cases:
Content Creators: To gather insights on trending topics and audience engagement strategies.
Marketers: To analyze social media trends and develop targeted marketing campaigns.
Researchers: To study online behavior and content performance across different platforms.
Conclusion
HookSmith is a comprehensive tool designed to leverage data from social media and video platforms, providing users with actionable insights to enhance their content strategies and marketing efforts. The combination of scraping, analysis, and user-friendly presentation makes it a valuable resource for anyone looking to understand online trends and audience preferences.
GitHub Link 🔗
Deploy Link 🔗
Problem it solves 🙅♂️
- Scraping real world data and turning it into insight
Challenges I ran into 🙅♂️
- Scraping from internet