Product lab
Data products, built to be used
— and to prove capability.
Each product here started with a real buyer problem in the NOVA/DMV market. They double as proof: identifying a market, structuring messy public data, and shipping something people can actually use. Roadmaps and pricing are exploratory, not launched offerings.
Flagship LiveDHS-focused MVP
Sunlight — Federal Recompete Radar
The problem: BD and capture teams need earlier recompete signal: which contracts expire soon, how strong the incumbent is, whether the market is winnable.
How it works: Public USASpending data → Postgres → dbt → FastAPI → Next.js. Every score decomposes into award-level evidence — transparent SQL, no black box.
Who it serves: GovCon BD, capture, pricing, market-intelligence, and growth teams.
Current scope: DHS IT services (NAICS 541511/541512), FY2020–2025 — 191 candidate contracts, $1.25B at-stake obligated value.
What this proves as a hire: Analytics engineering end to end, product thinking, SQL modeling, domain research, API/app delivery.
Exploratory roadmap
→ Recompete alerts & tracked watchlists
→ Agency expansion beyond DHS
→ CSV exports & BD team API
→ Sample reports & walkthroughs
Live — free access
DMV Company Research Vault
The problem: Local GovCon vendors, recruiters, BD teams, and job seekers all re-research the same regional companies from scratch.
How it works: Structured Obsidian knowledge graph: 200+ NOVA/DMV tech and GovCon companies — ownership, agency ties, contract relationships, competitive positioning.
Who it serves: GovCon BD teams, recruiters, and job seekers targeting DMV accounts.
Public and free today; a paid market-intelligence tier (target-account research, hiring signals) is exploratory.
What this proves as a hire: Market research discipline, information architecture, and product thinking — turning messy public information into a navigable asset.
Exploratory roadmap
→ Company maps & contract relationships
→ Hiring-signal tracking
→ Target-account research packs
Live
AI Job Market Intelligence
The problem: Job seekers, recruiters, bootcamps, and workforce boards lack a clear read on which AI/data skills are actually in demand.
How it works: Aggregated posting data → trend analytics: skill demand curves, role velocity, market momentum.
Who it serves: Recruiters, career-services organizations, workforce boards, and RevOps teams tracking hiring demand.
Free dashboard today; premium tiers are exploratory.
What this proves as a hire: Public-data ingestion, BI/storytelling, and the instinct to find an underserved audience for a dataset.
Exploratory roadmap
→ Compensation bands by role
→ Geographic breakdowns
→ Weekly digest
Open to full-time roles · NOVA/DMV
These products exist to be useful — and to show what Peter can build inside a team: pipelines, modeling, product delivery, and market judgment.