Post by Spartera

Silicon Valley spent two decades convincing the world that great technical talent only lives in 50 zip codes. That has never been true. Now there's data to prove it. Today IDiyas launched their Look-Alike Cities research on Spartera. Predictive analytics that take a benchmark city (say, Mountain View) and surface the global cities with comparable talent pools and R&D profiles. The filter: minimum 100 patents per region. The output: ranked secondary and tertiary markets that share the technical DNA of expensive hubs without the expensive hub cost structure. This is the kind of dataset that solves three completely different problems with one query. For founders: where do we open Office #2 to recruit the same engineering talent at half the burn rate? For CEOs: where can we acquire technical teams that look like the team we already have, without competing against the same five companies in SF? For economic development researchers: which underrated cities are quietly building real innovation capacity, and how do we tell that story to attract enterprise investment? The whole point of putting this on Spartera, instead of shipping a PDF report, is that it's live. Query it from your warehouse. Embed it in your expansion model. Hand the API to your agent. The data refreshes as patents refresh. Preview the schema or run a live query at marketplace.spartera.com - search "Look-Alike Cities" Congrats to the IDiyas team. This is exactly the kind of data the marketplace was built for.