Monkeytype Reviews

GitHub Reviews

1. proka

   7 days ago
   The Essential Platform for Modern Development

   GitHub is an essential platform for modern software development. It makes it easy to host, manage, and collaborate on code while providing powerful tools for version control, project management, and team collaboration. Its large open-source community is another major strength, offering developers access to countless projects, resources, and opportunities to learn. Overall, GitHub is a reliable and professional platform that has become a fundamental part of the developer ecosystem.

2. Reinhard

   · Boss at CLOUD Meister · over 5 years ago
   perfect 4 open Source

Monkeytype mentions (227)

• Mouseless – keyboard-driven control of macOS/Linux/Windows

  I'm astonished by how far those aim trainer tools go haha, and how popular they are. I discovered Aimlabs[1] recently, which seems like the most popular one, and it has 6 000 people playing right now. For us keyboard geeks, there is monkeytype: https://monkeytype.com/ [1] https://store.steampowered.com/app/714010/Aimlabs/. - Source: Hacker News / 3 months ago

• I got tired of re-screenshotting my app every time I made a change . So I built a workflow that does it for me.

  My app's theme engine (powered by Monkeytype) supports 190 themes. I'm working towards making the website available in all of them, which means every screenshot on every feature page needs a variant per theme. That's 50 screenshots across 13 features. At 190 themes, that's 9,500 screenshots total. And that number grows with every new feature and every new theme added. - Source: dev.to / 5 months ago

• A Beginner's Guide to Split Keyboards

  I'm in the same boat as OP. I've used keybr and https://monkeytype.com/, and while doing the exercises, I get pretty close to the speed and accuracy I had using a standard keyboard and qwerty, but I get much worse on both fronts when typing in the real world. - Source: Hacker News / 6 months ago

• How I Grew My Open-Source Japanese Learning Platform to 10k Monthly Users and 640+ GitHub Stars (as a Solo Dev and Student)

  When I first started building KanaDojo, I wasn’t planning to build a serious learning platform or anything like that. I just wanted a simple, beautiful, free way to practice and learn the Japanese kana (which is essentially the Japanese alphabet, though it's more accurately described as a syllabary) - something that felt as clean and addictive as Monkeytype, but for language learners. - Source: dev.to / 9 months ago

• Fingerjigger

  Typing speed tests are always fun. I enjoy https://monkeytype.com/. - Source: Hacker News / about 1 year ago

GitHub mentions (2478)

• Understanding the Git Workflow: Working Directory, Staging, Commit and Push.

  GitHub is an online service where we can store Git repositories. While Git is installed and works locally on our personal computers, GitHub stores our repositories online and allows us to share and collaborate on projects. - Source: dev.to / about 14 hours ago

• How I built a DSL for infrastructure in 10 days with AI

  What I'd do differently Start with PyPI from day 1. I spent the first week telling people to pip install git+https://github.com/.... The friction was enormous. Once I published to PyPI, installation became pip install infra-lang — 5 seconds instead of a paragraph of instructions. - Source: dev.to / 4 days ago

• Como criei um agente de IA para selecionar testes automaticamente em PRs (Parte 1)

  """Clones a single branch of a GitHub repository into a temporary directory for local scanning.""" Import logging Import shutil Import subprocess Import tempfile Logger = logging.getLogger(__name__) Class RepoFetchError(RuntimeError): """Raised when the target repository/branch cannot be cloned.""" Class RepoFetcher: """Shallow-clones a single branch of a repository so its tests can be scanned... - Source: dev.to / 12 days ago

• I Treat My Video Descriptions Like a Build Artifact Now. Here's the Pipeline.

  # video-meta.yml Topic: > Walking through how we cut cold-start time on a Lambda-backed GraphQL API from 2.4s to under 400ms, including the two things that didn't work. Target_keyword: lambda cold start optimization Audience: backend devs who already ship serverless, not beginners Model_channels: - the three channels currently ranking for this keyword Links: repo: https://github.com/... slides:... - Source: dev.to / 13 days ago

• I audited a 5.5 GB AI training dataset by downloading 0.8% of it

  Import struct, json, urllib.request REL = "https://github.com/{owner}/{repo}/releases/download/{tag}/" PART = ["...part1.zip.001", "...part2.zip.002", "...part3.zip.003"] SIZE = [1992294400, 1992294400, 1893639808] # from the releases API Def grab(part, start, end, out): # HTTP range fetch req = urllib.request.Request(REL + PART[part], Headers={"Range":... - Source: dev.to / 17 days ago