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Ask HN: What are ways to solve the chicken-egg problem for AI/big data startups?
The chicken and egg problem is usually talked about in the context of marketplaces (see [1] for some resources)
Recently, we've seen an influx of AI startups for which the value prop lies in the scale of their data. It's a chicken and egg problem in that it's difficult to get data unless you have customers, and it's difficult to have customers unless you have a clear value prop. What are some strategies to combat the chicken and egg problem in this case?
[1] http://www.guidetoyc.com/the-guide/6-users-distribution/
- sharemywin 9y agoPartner with giant company(or organization) with data make it a game and collect the data start a marketplace and collect the data start a service business and collect the data Initial coin offering and pay users for the data find existing collections of data start a data collections/storage company scrape the data and call it indexing Contest/sweepstakes to collect the data
- byoung2 9y agoscrape the data and call it indexing My last company did this with business listings and reviews. We combined this with public data sets from the census and were able to come up with useful insights about whether a business yelp rating was going to increase or decrease without having to generate our own data.