Surfer SEO Reviews

Prodigy Reviews

Surfer SEO mentions (35)

• Best AI SEO Tools for NLP Content Optimization

  SurferSEO: An SEO tool with features such as content audits, keyword analysis, and SERP analysis, helping users understand what makes top-ranking content successful. Source: 6 months ago

• Semrush alternates

  Check out Surfer seo. Its cheaper and can do almost similar task as SEMRush at a cheaper price. Someone mentioned SE ranking which is also a great alternative as well. Source: 12 months ago

• How To Use Surfer AI To Create Search Engine Optimized Content

  Well, the majority of you must have already used or at least known what surfer seo is as a content optimization tool. Recently, they released their AI feature Surfer AI as one of the most important tools in the content writing space - It's a common knowledge that the copywriting industry is transitioning in this direction. Let’s dive into this guide! Source: 12 months ago

• Accuranker vs. SE Ranking : Structured Review

  Personally, I believe that SE Ranking is the better option. However, I'd like to mention Surfer as another useful tool to consider. Surfer SEO provides a high-quality content editor as well as SEO optimization features that significantly improve the performance of your website. Source: 12 months ago

• Best cheap all in one SEO tool for a beginner? (and are open source softwares any good?)

  Surfer SEO can help you with on-page optimization. It performs in-depth analysis of top-ranking pages, providing insights into keyword usage, content structure, headings, and other factors. They offer pricing plans tailored to various needs, including a low-cost option for beginners. Source: about 1 year ago

Prodigy mentions (25)

• Launch HN: Encord (YC W21) – Unit testing for computer vision models

  This is really cool. The annotation-to-testing-to-annotation-etc. Feedback loop makes a ton of sense, and I'd encourage others who may be confused on this post to look at the Automotus case study https://encord.com/customers/automotus-customer-story/ for the annotation side, but my understanding is the relationship between model outputs and annotation steering is out of scope for that project - do you know of... - Source: Hacker News / 5 months ago

• Against LLM Maximalism

  Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / 9 months ago

• Remote Work 2.0: The Tools, Trends, and Challenges of the Post-Pandemic Work Era

  Prodigy AI - Offers software engineers career coaching, skill assessment, and job matching. Visit Prodigy AI. - Source: dev.to / 10 months ago

• [D] A model to extract relevant information from a Sample Ballot.

  I essentially want to use a Combo of OCR + NER to attempt to identify this, but I'm not sure NER is well suited for this, as it is not natural language, so there is little context to go off of. I was thinking of perhaps using Prodigy, a data annotation tool, to annotate Candidate Names, Races, etc, and perhaps it will be able to learn off of image data alone wheat these fields tend to look like. Source: about 1 year ago

• Sampling leaves from a tree

  I come from a similar application area, where I try to tag (annotation/label) a taxonomy of products iteratively. You are trying something slightly different, AFAIU, labeling a flat set of songs, each song with a set of tags from ontology (directed graph)From an application point of view, this is what taxonomists often do, when migrating products from one catalog to another: mapping one taxonomy to another. There... Source: over 1 year ago