| --- |
| license: mit |
| language: |
| - en |
| tags: |
| - startup |
| - startups |
| - tech startups |
| - technology startups |
| - where startups trend |
| - startups worldwide |
| - startup by location |
| - startup votes |
| - voting data |
| - startup voting data |
| - tech voting data |
| - technology voting data |
| - hackernoon startups |
| - hackernoon data |
| - hackernoon voting |
| - technology |
| - hackernoon |
| - san francisco startups |
| - ai startups |
| - ml startups |
| - saas startups |
| - new york startups |
| - london startups |
| - singapore startups |
| - colorado startups |
| - web3 startups |
| - startups of the year |
| - company |
| - copmanies |
| - tech company |
| - tech companies |
| - technology companies |
| pretty_name: where_startups_trend_worldwide |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| To celebrate the return of [HackerNoon Startups of the Year](https://hackernoon.com/startups) we've open sourced our previous Startup of the Year votes. This dataset includes every city above half a million ppl, tens of thousands of startups with meta data like homepage and company description, as well as, 600k+ votes for these startups on [HackerNoon](https://hackernoon.com). |
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| Learn more about [startups](https://hackernoon.com/startups), [tech company media coverage](https://hackernoon.com/companies), and [business blogging.](https://business.hackernoon.com/business-blogging) |
