Problem
When issues occur in production, developers must jump between multiple tools to gather context:
- Where do I check the logs?
- When was the last deployment?
- What are the related Jira tickets?
- What are this service’s dependencies?
- Who is the owner?
The cause of unnecessarily long MTTR is this context-gathering time.
Market
| Item | Details |
|---|---|
| Target Market | Global (GL) |
| Segment | Observability, DevOps, Monitoring |
| Primary Target | DevOps teams, SREs, on-call engineers |
| TAM | $34B+ (2026 observability market) |
The observability market is growing at 19.7% CAGR, expected to reach $172B by 2035.
Solution
Production Context Tool provides production context in one place:
- Unified Dashboard: Integrated logs, metrics, traces, deployment history
- Service Map: Real-time dependency visualization
- Alert Context: Auto-collect related info when alerts fire
- AI Agent Support: LLM agents can query context
- Runbook Integration: Auto-link incident response procedures
Competition
| Competitor | Pricing | Weakness |
|---|---|---|
| Datadog | $15/host/mo+ | Costs scale quickly |
| New Relic | Usage-based | Complex pricing |
| Grafana | Free/Enterprise | Complex setup |
Competition Status: RED (Competitive) | Intensity: H (High)
Differentiation: Context-first, AI-agent native, SMB-optimized pricing
MVP Development
| Item | Details |
|---|---|
| Estimated Duration | 8 weeks |
| Complexity | M (Medium) |
| Tech Stack | Node.js/Go, React, PostgreSQL |
| Core Features | Service map, deployment integration, alert context |
Milestones:
- Week 1-3: Data collection pipeline and integrations
- Week 4-5: Dashboard UI and service map
- Week 6-7: Alert integration and AI API
- Week 8: Beta testing and documentation
Revenue Model
| Model | Details |
|---|---|
| Type | SUB (Subscription) |
| Free | 5 services, 7-day retention |
| Paid | Unlimited services, 90+ day retention, AI features |
| Expected Price | $29-99/team/month |
| MRR Goal (6 months) | $10K-30K |
Risk
| Risk Type | Level | Mitigation |
|---|---|---|
| Technical Risk | M | Use proven integration patterns |
| Market Risk | H | Large players exist, niche targeting |
| Execution Risk | M | Focus on core features |
Recommendation & Next Steps
Score: 90/100
Why Recommended:
- Massive growing market
- Clear pain point
- Synergy with AI agent trend
- Preferred domain (monitoring, devops)
Next Steps:
- Develop PoC with 1-2 core integrations
- Gather DevOps community feedback
- Conduct price sensitivity research