What Ghostbot did
Burner released Ghostbot in June 2016 as an add-on for its temporary phone number service. Users attached the bot to a specific Burner number. When a contact texted that number, Ghostbot replied with canned responses such as "I'm busy" at random intervals. The goal was to discourage the sender without a direct confrontation. CEO Greg Cohn described it as a tool for casual, light situations where a user wanted to cool off rather than go dark.
The design philosophy: not a Turing test
Cohn was explicit that Ghostbot was not meant to fool anyone into thinking it was human. The responses were scripted and varied but limited. If the sender realized they were talking to a bot, the interaction had usually run its course. This honesty about limitations was unusual for the era's bot hype. The implication for regulated practices: automated communication works best when its boundaries are declared, not disguised.
Burner as a developer layer
Ghostbot served as a showcase for Burner's platform ambitions. The company already offered integrations with Slack, Dropbox, and Evernote. By opening phone numbers to third-party logic, Burner positioned itself as a layer above carrier infrastructure. Twilio's public offering had signaled market appetite for programmable messaging. Burner's consumer-centric experience reduced the effort for developers who wanted to build similar tools without reinventing the wheel.
Privacy and abuse considerations
Temporary numbers have a history of attracting illicit use. Cohn acknowledged two tracks: protecting user privacy as a core feature, and signaling that the service was not a haven for bad actors. Any communication platform faces this tension. For law firms and healthcare practices, the lesson remains: privacy tools require governance frameworks that anticipate misuse without undermining legitimate confidentiality needs.
Competitive context in 2016
Burner was not alone. Swytch and Hushed offered disposable numbers. The concept traced back to physical burner phones. Execution differentiated the services. Ghostbot's novelty was the scripted exit bot, a use case that highlighted the platform's flexibility. Today, similar automation lives inside messaging APIs and customer communication platforms, often with richer natural language understanding and stricter compliance controls.