B
GOAL.md Project Analyzer
3.10
Derivation Chain
Step 1
AI multi-agent software development tools
→
Step 2
Agent-driven project management
→
Step 3
Automated GOAL.md-based agent project progress and quality analyzer
Problem
Developers (1-3 person teams) using GOAL.md-to-code generation tools (e.g., sgai) must manually verify whether agent-generated code achieves each GOAL. With 20+ GOAL items, verification takes 1-2 hours per run. Identifying which specific GOALs are unmet in partially completed states is particularly difficult.
Solution
Connect your GOAL.md file to the generated code repository to automatically measure achievement rates for each GOAL item and analyze root causes of shortfalls. Features: (1) Automatic GOAL-to-code mapping and tracking, (2) Test coverage-based achievement scoring, (3) Code modification suggestions for unmet GOALs.
NUMR-V Scores
NUMR-V Scoring System
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (69%)
Data Availability
19.4/25
Feasibility Breakdown
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
Market Validation (52/100)
Validation Breakdown
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |
Technical Requirements
Backend [medium]
AI/ML [medium]
Frontend [low]