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This video demonstrates how to use the Old Bird Tweet Fetcher template.
import logging
from gunicorn.app.base import BaseApplication
from app_init import create_app
# Setup logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class StandaloneApplication(BaseApplication):
def __init__(self, app, options=None):
self.application = app
self.options = options or {}
super().__init__()
def load_config(self):
# Apply configuration to Gunicorn
for key, value in self.options.items():
if key in self.cfg.settings and value is not None:
self.cfg.set(key.lower(), value)
def load(self):
return self.application
if __name__ == "__main__":Created: | Last Updated:
Here's a guide for using the Old Bird Tweet Fetcher template:
Introduction
The Old Bird Tweet Fetcher is a powerful web application that helps discover and curate relevant tweets based on keywords. It features an intelligent filtering system that identifies viral and relevant content, with a clean interface for managing keywords and viewing tweet history.
Getting Started
- Click "Start with this Template" to begin using the Old Bird Tweet Fetcher template
Initial Setup
- In the Environment Secrets tab, add your RAPIDAPI_API_KEY
- To get your RAPIDAPI_API_KEY:
- Go to RapidAPI
- Sign up or log in
- Subscribe to the Twitter API v1.5.4 package
- Copy your API key from your RapidAPI dashboard
Test the Application
- Click the "Test" button to deploy the application
- The Lazy CLI will provide you with a server link to access your Tweet Fetcher interface
Using the Application
Managing Keywords
- Navigate to the Keywords page
- Add keywords related to topics you want to track
- Keywords help the AI find relevant tweets about software development, coding, and productivity
Viewing Tweets
- On the home page, click "Click to view tweet" to see the selected tweet
- The app automatically filters for viral and relevant content
- View your tweet history in the History tab
- Track performance metrics in the Admin dashboard
Customizing Relevance Criteria
- Use the Admin dashboard to customize the AI prompt that determines tweet relevance
- Adjust the criteria to better match your content preferences
The application will continuously fetch and analyze new tweets based on your keywords, maintaining a curated feed of relevant content.
Template Benefits
-
Intelligent Content Curation - Automatically filters and surfaces the most relevant tweets based on customizable keywords and AI-powered relevance scoring, saving professionals hours of manual content discovery time.
-
Engagement Analytics Dashboard - Provides comprehensive analytics on tweet performance, viral factors, and user engagement metrics, enabling data-driven content strategy decisions and audience understanding.
-
Multi-Agent Support - Supports multiple user agents/accounts with separate tracking and history, making it ideal for team collaboration and managing multiple brand or department social media monitoring needs.
-
Viral Content Detection - Uses sophisticated algorithms to calculate and identify viral content potential through metrics like views, engagement rates and timing, helping businesses spot trending topics early.
-
Customizable Relevance Criteria - Features an adaptable prompt system that allows organizations to fine-tune content relevance criteria based on their specific industry needs and business objectives, ensuring highly targeted content discovery.
These benefits make the template particularly valuable for digital marketers, content strategists, social media managers, and businesses looking to maintain an effective social media presence while saving time and resources.
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