Damnlines Real-Time Line Tracking App
Sector: Technology • Location: New York, United States
Source: LATINATION
Damnlines is a collaborative platform created by Lucas Gordon that uses a network of cameras installed by New York residents to monitor and calculate wait times at popular locations in real time. The app helps users avoid long lines at restaurants, museums, and other hotspots by providing dynamic wait time estimates based on live data. It also fosters community collaboration by allowing users to p
Project Information FAQ
Project Information
Want to explore the full details? View the full report
Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | operational |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Damnlines is a collaborative platform created by Lucas Gordon that uses a network of cameras installed by New York residents to monitor and calculate wait times at popular locations in real time. The app helps users avoid long lines at restaurants, museums, and other hotspots by providing dynamic wait time estimates based on live data. It also fosters community collaboration by allowing users to propose new locations and share their own security cameras. The project faces sustainability challenges and is exploring new financing options to maintain free access and long-term operation. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
