The ML API for engineers who don't have time for ML
Hey HN - spending time adding machine learning to your product is almost never worth it for startups. Formulating the problem, managing training data, training models, serving them, etc... for a 10% increase in some metric just isn't worth the time. Using rules + heuristics, although not optimal, does a pretty good job for a long time. There should be a better solution between rules & hardcore ML -- an 80/20 way to add ML to any product. Just slap it on top of the rules you already have, get that 10% gain, and never think about it again. I built an API that does just that. It's used by…
The ML API for engineers who don't have time for ML launched on August 5, 2021 with 5 votes and more than 50% of that year's launches.
What it does
In the maker’s words, at launch
Hey HN - spending time adding machine learning to your product is almost never worth it for startups. Formulating the problem, managing training data, training models, serving them, etc... for a 10% increase in some metric just isn't worth the time. Using rules + heuristics, although not optimal, does a pretty good…
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Source: Show HN post ↗ · launch text quoted in part
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Hey all My name is Sindre, and I am the CTO of Scrimba (YC S20). For the last 7 years, I have written all my web apps in a full-stack programming language called Imba. It compiles to JavaScript and its main goal is to make web developers more productive. I just launched a major overhaul of Imba, so I wanted to share it here on HN, in case anyone are interested in learning more about it. It is very opinionated, so some of you might not like it, but I would love to hear anyones feedback regardless. Constructive criticism appreciated! The backstory: Imba initially started in 2012 as an effort…
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