antonoo

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by antonoo 3y ago
Would love to hear: What are virtual developer tooling products being built right now that others think are most promising? These are the I'm looking forward to thus far: - magic.dev - mutable.ai - sweep.dev - Copilot X
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Do we have virtual developers yet?(antonosika.substack.com)
8 points by antonoo 3y ago|1 comments
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Google Translate “Get well [Swedish firstname]” translates to “fuck you”(translate.google.se)
94 points by antonoo 3y ago|56 comments
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Press CTRL and G in terminal instead of Googling with GPT4 powered CLI Co-Pilot(github.com)
3 points by antonoo 4y ago|0 comments
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Depict.ai (YC S20) Is Hiring Engineers(depictai.notion.site)
1 points by antonoo 5y ago
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by antonoo 5y ago
Depict.ai | Backend, Frontend and Fullstack Engineers | Remote or Stockholm, Sweden https://depict.ai/ is on a mission to challenge Amazon's domination of e-commerce. We connect customers and retailers over a shared lo
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by antonoo 5y ago
Hey Velislav, Anton here, CTO & Co-Founder of Depict.ai (YCombinator Summer 2020). Would be happy to chat! Do you want to reach out to anton@depict.ai?
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by antonoo 5y ago
Hey Andrey Anton here, CTO & Co-Founder of Depict.ai (YCombinator Summer 2020). Would be happy to chat! Do you want to reach out to anton@depict.ai?
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by antonoo 6y ago
These are some great questions! 1. In order for e-stores to trust the results, we tend to use Google Optimize for the A/B-tests (which randomly assigns 50% of users to see the stores' previous recommendations) 2. Currently our mai
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by antonoo 6y ago
Yes we have seen that simple integration and A/B test setup is key for our customers. It is both about integrating with the website as well as integrating with the catalog of existing products, and this is right now easier with us than
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by antonoo 6y ago
In A/B tests we have compared against e-commerce stores existing recommendations which are either manual or made by other recommender systems. We will consider running experiments like the one you describe it is a good idea!
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by antonoo 6y ago
Up to 35% of Amazon's transactions come from automated recommendations – which they have become really good at optimizing. We help everyone else reach these numbers even though they do not have the same volumes of data or technical exp
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by antonoo 6y ago
Would be happy to jump on a call if you send an email to anton (at) depict.ai We have a documented API that you can easily integrate directly with if you are more technical!
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by antonoo 6y ago
We have done A/B tests against AWS Personalize and other players like Nosto, Apptus, and more and to date we have not failed a single A/B test!
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by antonoo 6y ago
From A/B tests we have seen that having good representations of products is much more important than tons of behavioral data. In the cases when we do use behavioral data, what we have found is that unless we use it in conjunction with
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by antonoo 6y ago
Thanks for sharing your experience, we will connect with you per email!
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by antonoo 6y ago
Hey! While we're mainly looking at the product metadata, our algorithm also learns user-specific patterns for each store. That makes the recommendations hard to copy - since two people could look at the same product but get different r
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by antonoo 6y ago
Hey interesting to hear from you. Will connect per email as a follow up since we seem to have quite some stuff in common. On the first question regarding comparing with Amazon: That’s a great point. We can actually personalize those kinds o
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by antonoo 6y ago
Stort tack! Yes exactly, we do our integration + user tracking through a JS widget we inject on their site. Since most e-commerce companies don't have in-house tech people, just copy-pasting our script enables us to integrate many time
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by antonoo 6y ago
Yes, mainly other e-commerce stores. Larger sites like Amazon & Alibaba tend to be extra effective to scrape since they already have good metadata that we can draw on. We don't currently foresee any major risks, the tide seems to t
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by antonoo 6y ago
Haha, that's awesome! So cool that you still remember us from the days of knocking on doors around Stockholm:)
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by antonoo 6y ago
Great question, we have done many many AB-tests, it's often the case that the control group are manually curated recommendations. In general, the more SKU:s, the better result our method yields, since they have to deal with sparse data
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by antonoo 6y ago
Yup, you're right! We have very significant infrastructure to have stable and scalable scraping that ensures the best data quality. This is one of the things we spend the most time on. Thanks! Yes, in order for shops to trust the A&#x2
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by antonoo 6y ago
Hey! When we do the AB-tests, you will objectively see how much more money we make for you. The pricing can get a little bit technical compared to other solutions, but it all boils down to a simple fixed monthly recurring revenue fee base
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by antonoo 6y ago
Thank you!
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by antonoo 6y ago
Thanks for asking. We usually do the tagging implicitly ourselves when we make our product recommendations. You can add manual rules on top if you want to up the weight a new collection of products that have just launched or similar, for ex
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Launch HN: Depict.ai (YC S20) – Product recommendations for any e-commerce store
126 points by antonoo 6y ago|57 comments