Google Reviews

1. Moniza

   over 2 years ago
   Exploring Google: A comprehensive review of the search giant

   Google has been an integral part of my digital life for many years. Its search engine is unparalleled in its ability to fine relevant information quickly and accurately. The user-friendly interface and wide range of services make it a go- to for everything from email to navigation.

   🏁 Competitors: Bing, Yahoo, DuckDuckGo

   👍 Pros:    Google's search engine consistently delivers highly relevant results

   👎 Cons:    Google's data collection practices have raised privacy concerns among users, as the company collects vast amounts of personal information for targeted advertising.
2. Maham

   almost 3 years ago
   My Search Companion

   Google is the most reliable source for me to find the correct information. Its user-friendly interface and speedy results make searching much easier. From answers to random questions and finding locations, Google has never let me down. Its the first app I turn to when I need information. Highly recommended

   👍 Pros:    Feature rich|Speedy performance|Intuitive user interface

   👎 Cons:    Minor glitches|Ads
3. The Lead Market

   almost 4 years ago
   Best Search Engine

   Best Search Engine

Datature Reviews

Google mentions (3767)

• e.preventDefault() vs e.stopPropagation()

  Event.preventDefault() It prevents the browser's built-in behavior associated with an event. Example: clicking a link. Google. - Source: dev.to / 7 days ago

• What Happens When You Type a URL? Web Architecture Explained Simply

  You type google.com into your browser, hit Enter, and the website appears on your screen. - Source: dev.to / 2 months ago

• Native Windows Terminal for AI coding agents — no WSL

  Browser_open → browser_navigate("https://google.com") → browser_fill(ref=13, "wmux") → browser_press_key("Enter") → browser_screenshot(). - Source: dev.to / 3 months ago

• ⭐ I gave Claude Code a real Ubuntu computer (and open-sourced the engine)

  > open chrome on the shipkit workspace, search "claude opus 4.7", Take a screenshot of the top result, then send it to my email. ⏺ vm_create(label: "research") ⏺ browser_open() ⏺ browser_navigate("https://google.com") ⏺ browser_snapshot()← Set-of-Mark applied ⏺ browser_click_ref("[2]")← search box, ref 2 ⏺ browser_type_ref("[2]", "claude opus 4.7") ⏺ browser_key("Enter") ⏺ browser_snapshot() ⏺... - Source: dev.to / 3 months ago

• YATL — API testing in a new way

  Import java.net.URI; Import java.net.http.HttpClient; Import java.net.http.HttpRequest; Import java.net.http.HttpResponse; Import java.io.IOException; Public class HttpTest { public static void main(String[] args) { try { test(); } catch (IOException | InterruptedException e) { e.printStackTrace(); } } public static void test() throws IOException,... - Source: dev.to / 4 months ago

Datature mentions (7)

• Portal - Open Source App for Inspecting Model Inference

  Of course, you can write your own code, in that case, think of it as an interactive matplotlib then! Also, it helps to mention we run a startup Datature, that is a no-code MLOps platform, hence explaining why we are focusing on removing the coding portion of this process :P. Source: about 5 years ago

• Visualizing bounding boxes and masks predictions from TensorFlow models on images and videos. We built Portal to improve the model sandbox experience!

  A while ago, we announced here that we built Datature and a bunch of users gave feedback and even built MaskRCNN models on our platform! However, we were sending collab updates back and forth - it was a mess. Hence we made Portal for any TensorFlow users to load TF2.0 models (any models off TF2 Model Hub works) and inspect your model visually on your dataset. Source: about 5 years ago

• Food Object Detection Questions

  If you'd like to train a tensorflow object detection model, you can check out https://datature.io - theres about 30 different models you can select from and you can add augmentation to your pipeline. Source: over 5 years ago

• Advice with a labeling tool for creating fast bounding boxes around insects from images

  If you will be training an object detection model at the end, you can check out https://datature.io - you can annotate your data in browser (no installation) and train an object detection model + deploy when you are done for free! Source: over 5 years ago

• Datature now supports TensorFlow MaskRCNN. Datature wants to be the fastest way for developers and researchers to create neural networks for your next experiment!

  Feel free to try it out at https://datature.io - additionally, we are always looking out for feedback and feature requests. We are working more MLOps feature to support teams, so let us know of your thoughts :). Source: over 5 years ago