I built Doppelganger, a self-hosted browser automation platform that lets developers and teams run automated tasks entirely on their own infrastructure. It’s designed for situations where privacy, control, and reliability are critical, and SaaS solutions aren’t suitable.
*Problem*
Most browser automation tools or workflow SaaS platforms require exposing internal systems or relying on third-party servers. This creates problems such as:
- Data privacy concerns
- Limited control over execution and environment
- Difficulty scaling complex automated tasks
- Challenges with custom triggers or internal services
Many developers end up writing brittle scripts or local hacks that are hard to maintain or integrate.
*Solution*
Doppelganger lets you:
- Run headless browser automation on your own servers or cloud instances
- Trigger tasks programmatically via REST or WebSocket APIs
- Orchestrate tasks with proper logging, error handling, and scheduling
- Extend functionality with custom scripts or modules
- Monitor tasks optionally via a lightweight UI while keeping automation headless
*Technical Details*
- Node.js-based, modular architecture
- Docker-ready for easy deployment
- Full logging, error handling, and orchestration for production-grade automation
- Open-source core with optional cloud SaaS layer for orchestration
*Why it matters*
Doppelganger enables teams to automate complex browser tasks securely and reliably without relying on external SaaS. It’s ideal for:
- Developers and teams behind firewalls
- Internal tools that require automation but cannot leave private infrastructure
- Anyone building repeatable browser automation with full control
*Feedback & discussion*
I’d love to hear from the HN community:
- How do you currently run browser automation on self-hosted infrastructure?
- What are the biggest pain points with existing tools?
- Any features you think are critical for self-hosted automation?
I built Doppelganger, a self-hosted browser automation platform that lets developers and teams run automated tasks entirely on their own infrastructure. It’s designed for situations where privacy, control, and reliability are critical, and SaaS solutions aren’t suitable.
*Problem* Most browser automation tools or workflow SaaS platforms require exposing internal systems or relying on third-party servers. This creates problems such as: - Data privacy concerns - Limited control over execution and environment - Difficulty scaling complex automated tasks - Challenges with custom triggers or internal services
Many developers end up writing brittle scripts or local hacks that are hard to maintain or integrate.
*Solution* Doppelganger lets you: - Run headless browser automation on your own servers or cloud instances - Trigger tasks programmatically via REST or WebSocket APIs - Orchestrate tasks with proper logging, error handling, and scheduling - Extend functionality with custom scripts or modules - Monitor tasks optionally via a lightweight UI while keeping automation headless
*Technical Details* - Node.js-based, modular architecture - Docker-ready for easy deployment - Full logging, error handling, and orchestration for production-grade automation - Open-source core with optional cloud SaaS layer for orchestration
*Why it matters* Doppelganger enables teams to automate complex browser tasks securely and reliably without relying on external SaaS. It’s ideal for: - Developers and teams behind firewalls - Internal tools that require automation but cannot leave private infrastructure - Anyone building repeatable browser automation with full control
*Feedback & discussion* I’d love to hear from the HN community: - How do you currently run browser automation on self-hosted infrastructure? - What are the biggest pain points with existing tools? - Any features you think are critical for self-hosted automation?
Full docs and setup: https://doppelgangerdev.com
Open to feedback, suggestions, and technical discussion. Thanks!