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by nobbis
1633 days ago
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10 years ago, the original engineer of Google's search engine told me what he now wanted was asynchronous, human-powered search with curated results, e.g. a Google-like interface, but queries cost $5 and take 15 minutes. Money's no object for him, so he wanted to outsource the filtering, ranking, and interpreting of results. Would be even more useful today (albeit a tiny TAM.) |
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One of the solutions is to hire people remotely that will build a list from searching and verifying that the information is correct. There are a ton of scaling issues with a person building the lists, and you will still run into errors, but it has been the best way to verify and have the most up-to-date data.
A problem I noticed is people are so use to getting tons of results when they use Google or another database site, so they expect the same with human-powered results. SO I think a lot of expectation setting and also just working with the TAM that understands the impact a curated list will provide over a outdated database. Both have their costs but for a higher impact the human curation will always win over automation. (I have an example of 3 different lead gen sites having a different city for 1 company, the AI on the websites mixed up the location, a Human would be able to catch that)