Phantombuster Reviews

Amazon Rekognition Reviews

Phantombuster mentions (15)

• I challenged myself to get 10K+ weekly post impressions on Linkedin

  There are some tools available to automate this part for you like phantom buster and LinkedIn helper. Source: 9 months ago

• Retargeting Linkedin connections/visits by email

  Https://phantombuster.com/ is also a very good option/tool. Source: 11 months ago

• Los Angeles job boards, future brands will include marketing hospitality marketing

  We are in pre-launch and are marketing the CuratedLA Collective through various channels, including a ProductHunt launch, our access to AngelList Talent (now Wellfound) sourcing, niche subreddits, PhantomBuster drip campaigns, personal and professional circles of the CuratedLA audience, LinkedIn and cross-platform recommendations. Source: about 1 year ago

• Just tried connecting with someone for the first time this week, it's only Monday, and I got the weekly invitation limit reached message. Is there another reason why I am getting this message?

  Source: I used to work at a LinkedIn automation company and I'm working on another LinkedIn networking tool now. Source: over 1 year ago

• Best lead generator for a web design/Seo company?

  There are scrapers like Apollo.io that you can use. There is also phantombuster.com. Source: 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 / 2 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 / 10 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: 11 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: about 1 year ago