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Dolt is Git for data

(www.dolthub.com)
358 points timsehn | 1 comments | | HN request time: 0.29s | source
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peteforde ◴[] No.22734564[source]
Only 39 days since the last "GitHub for data" was announced: https://news.ycombinator.com/item?id=22375774

I'll say what I said in February: I started a company with the same premise 9 years ago, during the prime "big data" hype cycle. We burned through a lot of investor money only to realize that there was not a market opportunity to capture. That is, many people thought it was cool - we even did co-sponsored data contests with The Economist - but at the end of the day, we couldn't find anyone with an urgent problem that they were willing to pay to solve.

I wish these folks luck! Perhaps things have changed; we were part of a flock of 5 or 10 similar projects and I'm pretty sure the only one still around today is Kaggle.

https://www.youtube.com/watch?v=EWMjQhhxhQ4

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solatic ◴[] No.22736785[source]
I wonder how much of the market opportunity here is contingent upon market education. Everybody can clearly see the value of having a personal automobile, but how successful can you be at selling automobiles to people who don't know how to drive? Do people desire cars enough to buy one if they don't know how to drive?

Everyone can see how FAANG companies are growing wealthy off the mountains of data they are amassing, so everyone understands how data can be desirable. But what if your potential market base doesn't understand how to "drive" data - how to identify which data would be valuable for them and how best to exploit it? It seems to me that part of a go-to-market strategy needs, at least in the short term, to help potential customers transition from "that's a really shiny bauble" to "I understand how this is going to make me money."

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1. peteforde ◴[] No.22737516[source]
Maybe, but also maybe there just isn't a huge demographic of data scientists with discretionary purchasing capacity and a hair-on-fire problem that they are desperately searching for someone to take their money and fix.

I think that a lot of the data VIP types we met with honestly wanted to know why they needed it, but the more they thought about it, the more it just seemed like a shiny thing.

It's telling that dozens of similar companies with smart people behind them have thrown their talents at this solution, and none of them have located the problem people are eager to pay to solve.