Sector Mapping Engine
An auto-updating sector mapping platform — landscape diagrams with company-activity signals (funding, hiring, product launches, supplier-customer mention graphs) refreshing daily, navigable from sector down to individual company.
- Engagement
- 6–8 week build · ongoing per-sector refresh
- Built for
- Associates · Principals · Sector partners
Associates spend days building sector maps by hand — landscape diagrams in Figma, competitive matrices in Notion, hiring-and-funding trackers in spreadsheets. By the time the partner reviews, half the data is stale.
What this is
The associate's leverage layer for sector research. Three components:
- Landscape construction. Per-sector taxonomy — categories, sub-categories, the way the fund's partners think about the space. The taxonomy lives in code so it evolves with the partners' thinking.
- Signal ingestion. Funding, hiring, product, partnership, exec-departure signals attached to companies. Per-sector signal weighting.
- Map rendering. Visual landscape with companies positioned by sub-category and stage, sized by signal-velocity, color-graded by recency. Export-able to Figma for partner decks.
How it's built
Same data infrastructure that powers the Deal-Sourcing & Signal Platform — the work is the per-sector taxonomy and the signal weighting, not the raw ingestion. Map rendering in D3 or Visx for the web view, a separate exporter for Figma format.
What you get
- Per-sector taxonomy and map.
- Auto-refresh against the underlying signal data.
- Figma export for partner meetings.
- Signal-history per company so the associate can show "this company has been heating up for three months."
- Ongoing per-sector refresh as the fund adds coverage.
Engagement is shape, not list.
Length and price are functions of the data and the destination. The shape below is the typical engagement.
- Length
- 6–8 week build · ongoing per-sector refresh
- Lead
- Bogdan
- Cadence
- Async, weekly
- Bar
- Production
Scoped during the discovery call against the actual data and the operation it integrates with.
Principal engineer. Architecture and most code ships through one keyboard.
Written updates between, calls when the decision needs the room.
Async correctness, capacity under burst, observability at every boundary.
Products this composes with.
Same suite, or vertical-specialized versions in another.
- Same suite · Venture Capital Suite
Founder Network Intelligence
A people-level tracking layer — monitors departures from a curated 'talent watchlist' of notable companies, surfaces clusters and individuals to the partners with context (role, tenure, who they worked with), refreshes daily.
- Same suite · Venture Capital Suite
Deal-Sourcing & Signal Platform
A scoring pipeline that complements PitchBook and Affinity — ingests startup-database structured data plus unstructured signals (technical hiring, GitHub activity, product launches, supplier-relationship graph), applies your fund's thesis-specific scoring, and feeds your CRM weekly.
- Same suite · Venture Capital Suite
Startup Evaluation Engine
A packaged evaluation report per deal — automated financial-model review and cap-table analysis, founder-background research with structured outputs, market-size triangulation, comparable-company benchmarking. Delivered as a partner-readable document for the investment committee.
What buyers ask about this one.
We build sector maps in Figma. Why not keep doing that?
Figma maps look great in a partner meeting and go stale the next week. The Sector Mapping Engine produces the same visual but keeps the underlying data current — the partner deck always renders against fresh data. The visual layer can still export to Figma for the moments where polish matters.
Which sectors do you cover?
Per-engagement — we scope to the two-to-five sectors the fund actually invests in. Building a useful map for one sector takes time; building maps for fifteen sectors none of which are deeply useful is the failure mode we avoid.
What signals feed the map?
Funding events (rounds, valuations, lead investors), hiring patterns (executive joins, technical-talent inflows), product launches and feature ships, partnership and customer announcements, exec departures. Per-sector, the signal weighting differs.
Can it tell us which companies are about to raise?
It surfaces the leading indicators that often precede a round — hiring acceleration, new exec hires, key partnership announcements. It can't predict the conversation that hasn't happened yet, but it surfaces signals that move the partner-to-founder outreach forward by weeks.
Pricing?
Scoped against sector count and refresh cadence. Discovery call covers both.
If the deliverable matches the gap, the next step is one call.
We'll scope length and price against your data and the operation it integrates with. No retainer, no fishing.
Bogdan and team · async-first · OP—2026