boxd vs GitMir

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

boxd compared with GitMir
Detail	boxd	GitMir
What it does	Composable computers for devs and agents	AI model of your product's business logic accessible to people and AI agents
Stage	Not given	Not given
Founded	Not given	Not given
Based in	NL	GB
Pricing model	Not given	Freemium
Pricing	Credit-based pricing: €0.039 per vCPU-hour (active only), €0.012 per GiB-hour for RAM (memory in use), €0.00008 per GiB-hour for disk (written space only). New accounts receive €30 in free credits. A typical 2 vCPU / 8 GiB machine costs approximately €0.03 per hour while running (with 10% vCPU activ	Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
Key features	Hardware-isolated Linux VMs with persistent state between sessions Snapshots and checkpoints for machine state management Automatic hibernation after 4 hours idle, paying for disk only Pre-installed tools: Claude Code, Docker, Node, Python, Go, git, Chrome, ffmpeg, nginx Public HTTPS URL per machine with custom domain support Egress allowlist for network security and isolation CLI, API, Python and TypeScript SDKs for automation Integration with GitHub, Linear and Slack across all machines	Builds features, rules and customer paths and keeps them current with every push Shows what each commit changed in the business logic, not only in the code Provides change impact analysis before merge showing what could break Checks PRDs and specifications against the product Delivers understanding to AI agents over MCP Runs locally on your machine with GMM Local Finds risky patterns and problems in the product Enterprise deployment inside your security boundary Integrates with Claude Code, Cursor, Codex and VS Code MCP access for agents with 1-10 credits per answer
What makes it different	Hardware-isolated real VMs instead of containers, with full kernel isolation Persistent machines remember running processes and state between disconnects Pay only for active resources used, not provisioned size Free self-hosting up to 16 vCPUs on your own infrastructure	Nearly 3× fewer errors on Benchmark 001 compared to alternatives 8.4K tokens per question instead of 27.4K for competitors Results published and measurable; method is proprietary Reduces AI cost per completed agent action from $0.35 to $0.08
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	44 no change since last check	27 no change since last check
Trust Flow (Majestic)	8	3
Citation Flow (Majestic)	37	28
Referring domains (Majestic)	151	50

5 details filled in for both companies.

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