| What it does | AI tools for Gmail that automate follow-ups, scheduling, and invoice management
| Free NY Penn track predictor for NJ Transit departures
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| Stage | Not given
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| Founded | Not given
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| Based in | ES
| US
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| Pricing model | Not given
| Free
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| Pricing | Not given
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| Key features | - Track pending email replies in one view
- AI-powered follow-up suggestions based on thread context
- Invoice and receipt extraction in multiple formats
- Automatic invoice data organization into Google Sheets
- One-click Google Calendar event creation with meeting links
- Privacy-respecting data processing with no email retention
- GDPR compliant with EU data storage
| - Live departures board that updates automatically
- Official track assignments from NJ Transit
- Early track information from NJ Transit systems before official posting
- Experimental track predictions
- Train alerts for Early Track, Official Track, and Cancellation
- Canceled train alternatives with destination search
- iPhone Home Screen installation for push notifications
- My Alerts to manage saved alert settings
- Hoboken alternatives for canceled trains
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| What makes it different | - Works directly within Gmail without requiring a separate CRM or tool
- Privacy-first approach with no email reading or data selling
- Data never used to train AI models and immediately discarded after use
- Minimal permissions requested from Gmail API
- Handles multiple document formats for invoice processing
| - Combines multiple track information sources in one place
- Provides early access to track information before official posting
- Experimental track predictions based on train and equipment data
- Free and independently maintained
- Works on iPhone and Android without app store installation
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 11 ▼ −1 (down) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 17 | 0 |
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| Citation Flow (Majestic) | 23 | 18 |
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| Referring domains (Majestic) | 65 | 9 |
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