The team behind the data

Brouky is a venture capital intelligence platform. It gives a fund a live report on its own market — where the whitespace in its thesis is, which co-investors and warm intros to use, which portfolio companies are about to raise, where peer funds are rotating, and which startups fit its thesis right now — built from 36,000+ investors, 84,000+ startups, and 100,000+ tracked investment rounds across 130+ countries. Founders use the same engine in reverse to find and contact the investors most likely to back them.

Brouky is built and operated by Harambe Czech s.r.o., a Czech company (ID 19969244) based in Prague. It was founded and is run by Matyas Broukal, who built the data pipelines, matching engine, and product end to end, working with Jakub Kýr and Mikuláš Kubala.

Venture capital funds, angels, and analysts first. A fund claims its profile and gets a report on its market — deal flow, thesis whitespace, exit radar, follow-on behaviour, portfolio risk, and how its peers are moving — plus a co-investor network with warm intro paths, startups matched to its thesis, portfolio tracking, and data rooms with AI deck analysis. Advisers use the same data to work a mandate. Founders are the fourth audience: they run the same engine in reverse to build an investor target list and reach out.

A report on the fund's own market, regenerated from live data: where deal flow is moving, the whitespace its thesis isn't covering, exit radar, follow-on behaviour, portfolio risk, and how peer funds are shifting stage and sector. A co-investor network map showing syndicate partners, portfolio overlap, and who can make a warm introduction. Deal sourcing that surfaces startups matching the thesis, with interest and notes. Portfolio tracking with per-company fundraising and liveness signals. Data rooms with AI pitch-deck analysis, memo, and pipeline. Plus a deck builder with PDF export and shareable snapshots, profile impression stats, and team seats under one entity subscription.

Brouky reads the investment graph — who backed whom, alongside whom, at what stage and check size, and what happened to the company afterwards — rather than brand recognition. That graph drives matching in both directions: startups surfaced against a fund's thesis for sourcing, and investors surfaced against a company's stage, sector, geography, and round size for founders. Each match carries the reasoning and the underlying deals behind it. Fit is also expressed as a composite score, but the score is an input to the analysis, not the product.

The investor, startup, and founder directories are free to browse without an account, and a registered startup profile gets a ranked match list plus direct investor messaging. Paid plans unlock the VC report, peer benchmarking, network map, portfolio tracking, and data rooms.