A
Parliamentary Speech Monitoring SaaS
3.70
Derivation Chain
Step 1
National Assembly physical altercation and ethics committee complaint issues
→
Step 2
Demand for legislative activity monitoring
→
Step 3
Automated per-legislator speech and behavior tracking service
Problem
Civic organizations, political media outlets, and lobbying consultancies spend 15–20 hours per week manually tracking plenary and committee speeches, disciplinary actions, and ethics committee complaints across 300 National Assembly members. Assembly transcript PDFs are unstructured, making keyword search impossible, and it takes an average of 2–3 days to establish context from past statements when an issue breaks.
Solution
Combines the National Assembly transcript API with news crawling to automatically collect and organize each legislator's speeches, disciplinary records, and ethics committee complaint history. Provides keyword alerts and legislator profile dashboards. Differentiates with instant timeline generation of a legislator's past statements when a specific issue (e.g., assault, protest banners) occurs.
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 (63%)
Data Availability
18.8/25
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 (72/100)
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]
Frontend [medium]
Data Pipeline [medium]