---
type: context
project: spectra
created: 2026-02-14
tags: [type/context, project/spectra, domain/strategy, pinned]
---

# Market & Business Intelligence

## Market Sizing
- **TAM:** $8.2B (global app security testing + code quality + static analysis)
- **SAM:** $2.4B (AI-powered code analysis, teams >10 engineers, English-speaking)
- **SOM:** $240M (early adopters: YC companies, Series A-C, PE/VC DD teams)
- **Growth:** 18% CAGR

## Revenue Targets
- Year 1: $1.2M ARR (100 teams × $1K/month avg)
- Year 3: $12M ARR (1,000 teams)

## Pricing (Freemium SaaS)
| Tier | Price | Analyses/Month | Target |
|------|-------|----------------|--------|
| Free | $0 | 3 | Individual devs, trial |
| Pro | $49/mo | 50 | Freelancers, small teams |
| Team | $199/mo | Unlimited | Engineering teams 5-20 |
| Enterprise | Custom | Unlimited | Companies 50+ engineers |

## Unit Economics
- COGS/run today (Opus): $22.50
- COGS/run target (12 months): $1.50 (93% reduction via hybrid models + caching + LLM price drops)
- LTV: $1,386 | CAC: $50 | LTV/CAC: 27.7x
- Path: Hybrid model ($8.50) → + caching ($5.10) → + optimization ($3.80) → + price drops ($1.50)

## ICP
- Primary: VC/PE teams doing technical due diligence (ICP score 92/100)
- Secondary: Engineering teams at YC companies, Series A-C startups
- Pain: $20K-70K cost, 40+ hours per M&A technical DD

## North Star Metric
**Weekly Active Analyses (WAA)** — unique repo analyses completed per week

## Q1 2026 OKRs
| Objective | Key Results |
|-----------|-------------|
| Win Claude Hackathon | CLI <120s, HTML report + ScoreCard, live extended thinking demo |
| PMF Signal | 500 analyses in 30 days, 20% W1 retention, NPS >40 |
| Technical Foundation | 80% test coverage, <90s avg, <5% false positive rate |
