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StartupsBR

Geographic map of Brazilian startups and job opportunities

SaaS SaaS & software Show HN · launch post · ▲ 54

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startupsbr.com

What it does

StartupsBR is a geographic map of Brazilian startups and their open job positions. The current version focuses on São Paulo, displaying 154 startups and 473 job openings plotted on a map. Users can browse startups by location and view available positions at each company. The platform also lists local ecosystem events.

Who it is for

The service targets job seekers looking for positions in the Brazilian startup ecosystem, particularly in São Paulo. It also serves founders and investors exploring the geographic distribution of startup activity and density in specific areas. The founder built it after noticing the lack of a simple geographic discovery tool for the Brazilian ecosystem, compared to regions like the Bay Area or London.

Pricing

The site does not show prices.

How it stands out

Most startup directories organize companies by industry, funding stage, or name. StartupsBR's distinguishing feature is the geographic lens—it maps startups spatially, revealing clustering patterns within cities. This approach makes it easier to understand where innovation concentrates and can help job seekers find opportunities near their location. The founder notes that clustering in a handful of areas emerged as a surprising insight from building the map. The platform appears to focus on the often-overlooked Brazilian startup scene rather than the saturated US or European markets.

What a founder should check

Anyone considering a similar geographic startup map should verify a few things. First, examine switching costs for competitors—existing users may already invest time in specialized job boards, LinkedIn, or regional Chamber of Commerce databases, making displacement difficult. Second, investigate the data maintenance burden: the map currently shows 154 São Paulo startups, but accuracy requires continuous updates as companies launch, move, or disappear. Understanding how often that data staleness becomes a problem is critical. Third, consider the network effects moat—does a map become more valuable only once enough startups and job seekers use it, and if so, how will the founder overcome the cold-start problem in other Brazilian cities or regions?

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