Looker
Tableau
Microsoft Power BI
Sisense
Domo
Qlik
QlikSense
Google Analytics
ThreadIn
Readlang
Immersive Translate
Trancy
Toucan
English AI
LearnQ.ai
QuillBot
Looker is a business intelligence platform with an analytics-oriented application server that sits on top of relational data stores. The Looker platform includes an end-user interface for exploring data, a reusable development paradigm for creating data discovery experiences, and an extensible API set so the data can exist in other systems. Looker enables anyone to search and explore data, build dashboards and reports, and share everything easily and quickly.
ThreadIn is a Chrome extension that helps non-native English speakers understand real online comments and learn English from the conversations they already read.
It works directly inside supported websites and adds lightweight AI learning tools to comment sections, posts, and video subtitles.
Main features include comment translation, slang and tone explanation, hidden meaning analysis, vocabulary saving, saved-word highlighting, selected text translation, natural reply drafting, subtitle translation, and translated subtitle voice playback.
ThreadIn is designed for learners who want to read English comments more easily, understand native-like expressions, and join online conversations with more confidence.
The extension is free to use. AI features work with the user's own OpenRouter API key.
Looker
ThreadInThreadIn's answer:
ThreadIn focuses on real online conversations instead of generic translation. It explains slang, tone, hidden meaning, cultural context, vocabulary, and natural replies directly inside comment sections and video subtitles.
ThreadIn's answer:
ThreadIn combines comment translation, slang explanation, vocabulary saving, selected text translation, reply drafting, subtitle translation, and translated subtitle voice playback in one browser extension. It is built for learners who want to understand and join real conversations, not just translate isolated words.
ThreadIn's answer:
ThreadIn is for non-native English speakers who read online comments, discussions, and video subtitles and want to understand natural English, internet slang, tone, and cultural context more easily.
ThreadIn's answer:
ThreadIn was created to help English learners understand the kind of language that appears in real online communities: jokes, slang, sarcasm, memes, casual replies, and fast subtitles. Instead of studying from separate materials, users can learn from the conversations they already read every day.
ThreadIn's answer:
ThreadIn is built as a Chrome extension with browser content scripts, local browser storage, and AI features powered by the user's own OpenRouter API key.
ThreadIn's answer:
Based on our record, Looker seems to be more popular. It has been mentiond 14 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.
Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the folders if you have set the permissions correctly for each folder). Source: over 3 years ago
Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins that can make Kimball warehouses hard to navigate for business users. - Source: dev.to / almost 4 years ago
We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago
Dashboard: I like to use Datastudio because it's easy (just like using google sheets), but you can also try out Looker. Source: over 4 years ago
For Growth and larger, I would recommend Looker. The only reason I wouldn't recommend it for the smaller company stages is that the cost is much higher than alternatives such as Metabase. With Looker, you define your data model in LookML, which Looker then uses to provide a drag-and-drop interface for end-users that enables them to build their own visualizations without needing to write SQL. This lets your... - Source: dev.to / over 4 years ago
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