Retool
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Airtable
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UI Bakery
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SuperAnnotate
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SuperAnnotate is the leading platform for building, fine-tuning, iterating, and managing your AI models faster with the highest-quality training data. With advanced annotation and QA tools, data curation, automation features, native integrations, and data governance, we enable enterprises to build datasets and successful ML pipelines. Partner with SuperAnnotate’s expert and professionally managed annotation workforce that can help you quickly deliver high-quality data for building top-performing models.
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Based on our record, Retool seems to be a lot more popular than SuperAnnotate. While we know about 90 links to Retool, we've tracked only 1 mention of SuperAnnotate. 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 / 1 day 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
Ok, so I tried comparing 4 of the better data annotation tools like dLabel.org, CVAT.com, SuperAnnotate.com and Labelbox.com . I tried them all as thoroughly as I could and I probably missed some things so apologies in advance for that! Let me know what I missed in the comment. Btw, I'm Amir and I've worked most of my data-labeling career at dLabel.org. Source: about 3 years ago
Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.
Labelbox - Build computer vision products for the real world
Appsmith - Appsmith is an open source web framework for building internal tools, admin panels, dashboards, and workflows.
V7 - Pixel perfect image labeling for industrial, medical, and large scale dataset creation. Create ground truth 10 times faster.
Airtable - Airtable works like a spreadsheet but gives you the power of a database to organize anything. Sign up for free.
CloudFactory - Human-powered Data Processing for AI and Automation
