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Based on our record, Retool should be more popular than Datatang.ai. It has been mentiond 90 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If I were to really invest in dbms, and only able to read-only the data (analyze, query, etc) something like Metabase is my go to choice (https://www.metabase.com). If I also need update the data itself, internal tools builder like Retool (https://retool.com) probably good enough. But, it all depends on the use case. - Source: Hacker News / 2 days ago
I am building https://github.com/claceio/clace and https://retool.com/, allow automation of operational tasks through a web interface while also allowing fully custom web apps. Clace also works great for running simple web apps locally. Building and deploying a web app should be as easy and common for backend engineers as creating a CLI app is. - Source: Hacker News / 4 months ago
This seems to mainly be useful for spinning up quick and dirty internal tools. But for that use-case, isn't it easier to use something visual and established like Retool (https://retool.com/) or that generates nice react code, like MUI Toolpad (https://mui.com/toolpad/)? - Source: Hacker News / 4 months ago
There are obvious counterexamples, like https://retool.com, which is a successful company with solid revenue and multi-B valuation. > software engineers — who are often influencers in a purchase decision — are strongly incentivized to build instead of buy Regardless of what software engineers would rather do, pressure from real users trumps pressure from internal users. This especially true in startups, whose... - Source: Hacker News / 5 months ago
I submitted an application for w24 that fits in the "Developer tools inspired by existing internal tools" category but wasn't accepted. I suspect my pitch probably needed work, and I also haven't started building at all yet and submitted as a solo-founder which it seems has less chance of being accepted. Here's the pitch and some details, in case anyone else is interested in the idea: > Supportal uses AI to... - Source: Hacker News / 5 months ago
Data annotation is an essential step in preparing data for use in Machine Learning models. This is where Datatang.ai comes in. Our company specializes in data annotation, providing high-quality and accurate data for training autonomous vehicle machine learning models. Our team of experts works diligently to ensure that every annotation meets the required standards, and our cutting-edge technology ensures that we... Source: about 1 year ago
Data annotation is a crucial action in preparing information for usage in Machine Learning versions. This is where Datatang.ai comes in. Our company specializes in data annotation, supplying high-quality and accurate data for training self-governing car equipment learning designs. Our team of professionals functions vigilantly to ensure that every annotation meets the required requirements, and also our advanced... Source: about 1 year ago
At Datatang.ai, we realize that every project has unique needs, which is why our object tracking dataset is customizable. We work with our clients to ensure that they receive the data that they need for their specific project, whether it's for research, training machine learning models, or developing new products. Source: about 1 year ago
At Datatang.ai, we realize that every job has special needs, which is why our object monitoring dataset is adjustable. We deal with our clients to guarantee that they receive the information that they require for their particular project, whether it's for research study, training equipment learning models, or developing new products. Source: about 1 year ago
At Datatang.ai, we realize that every job has unique needs, which is why our things tracking dataset is personalized. We deal with our clients to make sure that they get the information that they need for their details job, whether it's for research study, training machine discovering versions, or developing brand-new items. Source: about 1 year ago
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