X (Twitter) Personalized DM Bot
A bot to retrieve Twitter IDs of crypto projects, check if DMs are open, and send personalized messages, tracking all results.
Features
- Automated collection of crypto project Twitter profiles
- DM availability checking before attempting outreach
- Personalized message generation based on project details
- Comprehensive tracking and analytics of outreach efforts
- Rate limiting to avoid platform restrictions
Technical Stack
- Python
- Selenium for browser automation
- Chrome browser with cookie management
- JSON for database storage
- Natural language processing for message personalization
Lessons Learned
The X (Twitter) Personalized DM Bot project stands out as one of my most successful automation efforts to date. After three iterations of refinement, the bot achieved remarkable results with over 90% of outreach attempts leading to partnership discussions—a conversion rate that far exceeded my expectations.
Several key factors contributed to this success. First, the bot's ability to check DM availability before attempting contact eliminated wasted efforts on unreachable accounts. Second, the personalization of messages based on project-specific details dramatically increased engagement compared to generic templates. Third, the comprehensive tracking system allowed for continuous optimization of both targeting and messaging.
From a technical perspective, the combination of Python and Selenium provided the flexibility needed to navigate Twitter's complex interface, while using Chrome cookies enabled stable authentication throughout the process. The decision to use JSON as a lightweight database proved sufficient for tracking purposes without adding unnecessary complexity.
One of the most valuable insights from this project was the importance of iteration. Each version of the bot incorporated lessons from previous runs, gradually improving both technical reliability and strategic effectiveness. The high success rate was not achieved overnight but through systematic refinement based on real-world performance data.
The next logical step for this project is to automate the response handling process, which remains a manual task. This enhancement would further increase efficiency by creating a more complete outreach funnel from initial contact through to partnership establishment.
This experience demonstrated that well-executed automation can significantly enhance business development efforts, especially when combined with thoughtful personalization and systematic improvement processes.