Codetown
Codetown ::: a software developer's community
Anagrams is word games
Scrabble anagrams
Scrabble is mainly a game of anagrams and word searches. Therefore, this Anagram Solver is the second-best online anagram server for English-language Scrabble games after our dedicated Scrabble Word Finder.
If you're having trouble coming up with terms to place on your Scrabble board, use our simple anagram creator to maximize your points and keep up with your opponents.
To find the best anagram terms or phrases for your Scrabble game, just type your letters into the Anagram Solver online search field.
Words with Friends anagrams
When playing a game of Words With Friends, this anagram word solver is your best ally. In order to assist you to discover fresh words, phrases, and titles to utilize in a multiplayer anagrams game, www.anagramfinder.org immediately unscrambles the words on your rack.
We also have word lists and a Words With Friends cheat sheet that you may use when it's your chance to shine in addition to this anagram solver. Words With Friends victory is now more achievable than ever thanks to our "anagrams cheat" tools.
Comment
Happy 10th year, JCertif!
Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
Looking for Jobs or Staff?
Check out the Codetown Jobs group.
InfoQ Reading List
Google DeepMind Introduces ATLAS Scaling Laws for Multilingual Language Models
Google DeepMind researchers have introduced ATLAS, a set of scaling laws for multilingual language models that formalize how model size, training data volume, and language mixtures interact as the number of supported languages increases.
By Robert KrzaczyńskiPresentation: Foundation Models for Ranking: Challenges, Successes, and Lessons Learned
Moumita Bhattacharya discusses the evolution of Netflix’s ranking systems, from the multi-model architecture to a Unified Contextual Recommender (UniCoRn). She explains how they built a task-agnostic User Foundation Model to capture long-term member preferences. Learn how they solve system challenges like high-throughput inference and the tradeoff between relevance and personalization.
By Moumita BhattacharyaSwift Cross-Platform Framework Skip Now Fully Open Source
After three years of development, the team behind Skip, a solution designed to create iOS and Android apps from a single Swift/SwiftUI codebase, has announced their decision to make the product completely and open source, in order to foster adoption and community contribution.
By Sergio De SimoneRailway Highlights the Importance of Logs, Metrics, Traces, and Alerts for Diagnosing System Failure
Railway’s engineering team published a comprehensive guide to observability, explaining how developers and SRE teams can use logs, metrics, traces, and alerts together to understand and diagnose production system failures.
By Craig RisiGoogle BigQuery Adds SQL-Native Managed Inference for Hugging Face Models
Google has launched SQL-native managed inference for 180,000+ Hugging Face models in BigQuery. The preview release collapses the ML lifecycle into a unified SQL interface, eliminating the need for separate Kubernetes or Vertex AI management. Key features include automated resource governance via endpoint_idle_ttl and secure identity-based execution using existing data warehouse permissions.
By Steef-Jan Wiggers
© 2026 Created by Michael Levin.
Powered by
You need to be a member of Codetown to add comments!
Join Codetown