PST.NET Reviews

1. Daniel Clart

   7 months ago
   Highly useful

   I would reccomend this to anyone due to its simplicity and for many other reasons…

   🏁 Competitors: Stripe Billing

   👍 Pros:    Ecommerce|Card issu|Card issuing|Many free cards

   👎 Cons:    Fees
2. Maya Andies

   7 months ago
   A good experience at this site

   I’ve actually had a great site and I’ve been pleased to have used this. The support has helped me whenever I need help

   🏁 Competitors: Magento

   👍 Pros:    Simplicity of the virtual card
3. William Haruspex

   | CEO | 7 months ago
   A great platform

   I have used it frequently and have found it to adhere to my needs in a great way! Really good job

   🏁 Competitors: Revolut, Stripe Billing, Wise

   👍 Pros:    Simplicity of the virtual card|Credit

WordNet Reviews

PST.NET mentions (2)

• Guide on How to Farm Facebook Accounts

  1st question: You just use card services built for this. Here's an example: https://leadingcards.media/ we used. Another that was popular in my group of affiliate friends: https://pst.net/. There are many other such services, just Google "virtual cards for affiliates" - you will find tons. Source: about 1 year ago

• ULPT Request : How to safely use unethically obtained income

  You also can use sites like https://cardoshi.cc or https://pst.net to create virtual credit cards which you can load with crypto and do legal payments with it. Not sure about PST.NET but cardoshi can be directly loaded with XMR, with is a bonus. I'd still advice you not to use such a cards on your legal name. Source: about 1 year ago

WordNet mentions (28)

• CatLIP: Clip Vision Accuracy with 2.7x Faster Pre-Training on Web-Scale Data

  TL;DR: The authors pretrain the model to classify images into Wordnet synsets[a] that appear in the caption, using a standard Cross Entropy loss. They keep the number of classes relatively small by removing any synsets that don't show up in captions at least 500 times in the dataset. It seems to work well. My immediate question is: Why not classify among the entire hierarchy of all Wordnet synsets? --- [a]... - Source: Hacker News / 2 months ago

• A History of CLIP Model Training Data Advances

  To operationalize this intuition, the Microsoft and UC Berkeley researchers use WordNet and Wiktionary to augment the text in image-text pairs. The concept itself is augmented for isolated concepts, such as the class labels in ImageNet, whereas for captions (such as from GCC), the least common noun phrase is augmented. Equipped with this additional structured knowledge, contrastively pretrained models exhibit... - Source: dev.to / 4 months ago

• GraphWords: Visual Dictionary and Thesaurus

  If you like this, definitely check out WordNet (https://wordnet.princeton.edu/). - Source: Hacker News / 6 months ago

• i was looking for a site where i could add characteristics of a words and then i could search for another words like that word.

  I didn't understand well what you meant, but maybe this site can help you: https://wordnet.princeton.edu/. Source: over 1 year ago

• Seeking a robust English word-list of length 4096 for encoding

  What I'd do is work with a huge database like WordNet and then try to "extrapolate" BIP39 to 4096 words by creating queries against WordNet to obtain words meeting the constraints you'd like to keep. Source: over 1 year ago