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Startup winners Asia list confusion 2024

I was recently looking through some startup rankings and came across a long list of companies from different Asian cities. At first I thought it would include short descriptions, but it turned out to be just names grouped by locations. That made me a bit unsure how to actually understand what each company does. I noticed that every city had only one listed winner, which felt interesting but also raised some questions for me. There were many places I had never even heard of before, so it became harder to get the full picture. I am trying to figure out if this kind of list is more about visibility or something else. Has anyone else looked into these regional startup winner lists and had the same confusion?

Re: Startup winners Asia list confusion 2024

Yeah, I had a similar reaction when I saw that format for the first time. What helped me a bit was just carefully going through the structure itself instead of expecting detailed explanations. I found one page where everything is arranged strictly by country and city, and each location has a single startup listed as a winner. It does not explain the companies, but it shows how wide the coverage is across Asia. When I looked at https://hackernoon.com/startups-of-the-year-2024-winners-asia I started to see it more like a geographic overview rather than a typical ranking. It becomes easier to follow once you stop expecting descriptions and just look at the distribution of cities. Still, I agree it takes a bit of time to get used to that format.

Re: Startup winners Asia list confusion 2024

From what I see, these kinds of lists are often structured more as collections rather than detailed guides. When information is limited to names and locations, it shifts the focus toward scale and coverage. That can be useful in its own way, especially if someone is trying to understand how many regions are included. At the same time, it naturally leaves some gaps for those who want deeper insights. Different people approach such lists with different expectations, which can affect how clear they seem. Over time, it becomes easier to read them as simple datasets instead of full profiles. I think it just depends on what exactly someone is looking for.