| 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 | |
| [HackerNoon Startups of the Year](https://hackernoon.com/startups) is returning soon. To celebrate, we've open sourced our previous Startup of the Year votes. This dataset includes every city above thousands of cities, tens of thousands of startups with meta data like homepage and company description, and 600k+ votes. |