jilebi vs AtlasBurn
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
jilebi compared with AtlasBurn
| Detail | 
jilebi | 
AtlasBurn |
|---|
| What it does | Linux machines in the cloud for AI agents
| Monitor and control AI/LLM API costs across OpenAI, Anthropic, Gemini and other providers
|
|---|
| Stage | Startup
| MVP
|
|---|
| Founded | Not given
| Not given
|
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| Based in | Not given
| IN
|
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| Pricing model | Paid
| Free trial
|
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| Pricing | CPU: $0.009/vCPU·hr, Memory: $0.009/GB·hr, Disk: $0.0001/GB·hr. Stopped machines cost $0.0001/GB·hr.
| Free during beta
|
|---|
| Key features | - Launch machines in seconds
- Auto-sleep when not in use
- Wake up in milliseconds
- Dedicated CPU, memory and disk per instance
- Clone machines with same setup
- Automatic routing without IP configuration
- Standard tools support (docker, ssh)
- Share routes with selective access
| - AI API cost intelligence across 13+ providers
- Burn forecasting under different growth scenarios
- Guardrails that alert, slow down or block features when budgets are exceeded
- Agent usage monitoring
- Per-feature cost breakdown
- Cost modeling under stress conditions
|
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| What makes it different | - Machines wake in milliseconds
- No special CLI required
- Fully isolated virtual sandbox for each machine
- No credit card required to start
| - Forecasting-first approach with probabilistic cost modeling, not just historical tracking
- Guardrails that automatically enforce budget controls before costs spiral
- Privacy-preserving: stores only usage metrics, never prompts or user data
- Probabilistic risk modeling designed for AI-native startups
- Fail-open SDK so AI calls continue even if AtlasBurn is unavailable
|
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | 21 ● no change since last check |
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| Trust Flow (Majestic) | 0 | 2 |
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| Citation Flow (Majestic) | 19 | 24 |
|---|
| Referring domains (Majestic) | 10 | 35 |
|---|
6 details filled in for both companies.
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