Geekbot Reviews

Amazon Rekognition Reviews

Geekbot mentions (13)

• Automating standups using GPT4 and Github APIs

  We think GitReport could replace standup apps like Geekbot. So we're making it into a product. More Git features are coming, like tracking issues and pull requests. Source: 9 months ago

• Agile / Scrum

  We run standups every day, however only 2x of them are a Teams call. The other 3 are run using a tool called Geekbot (Yes scrum masters do hate this) which is basically just a chatbot that sends you the standard standup questions and you can answer whenever you feel like it. This has helped our team heaps due to having such a huge mix of people in our team (Cloud Eng, Database Eng, Software Eng, Network Eng) that... Source: about 1 year ago

• What do you really think of your daily standup?

  My new job recently pulled in https://geekbot.com/ to handle stand ups. Answer a couple basic questions when you login, and they’re all sent to a central channel. I’m not big on that type of communication in general, but it takes maybe 30 seconds each morning. Source: over 1 year ago

• As an IC, is there anything I can do about super cheerful team members using up meetings time?

  We use Geekbot to help standups. The feedback from each dev goes into a channel, then we talk about things that need to be addressed or things we're working on. Source: over 1 year ago

• Scrum Has Failed the Developers

  Back in 2005, I remember working on startups running on Scrum principles. It worked well at the time, we where able to ship, grow the team, and move forward with a nice few-features-per-week cadence, working remotely, on a small team; less than 10. Tt always worked fine, but very slow, as all-dev-things were at the time. I worked with ActiveColab in 2007, Skype 2007, Yammer 2009, Trello 2011, Pivotal Tracker 2013,... - Source: Hacker News / over 1 year ago

Amazon Rekognition mentions (33)

• Afraid of outgrowing AWS Rekognition? Try YOLO in Lambda.

  AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / 3 months ago

• Amazon Rekognition Custom Labels for Bears

  I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 11 months ago

• “During a gold rush, sell shovels.” What are the shovels in the AI rush?

  For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 12 months ago

• Serverless Facial Recognition Voting Application Using AWS Services

  Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / about 1 year ago

• Amazon Prime Video playback features

  Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: over 1 year ago