TinyURL Reviews

Bubblewrap Reviews

TinyURL mentions (6)

• 🔐 Design a TinyURL System (Like Bit.ly) — From Scratch

  Import string Class TinyURL: def __init__(self): self.url_to_code = {} self.code_to_url = {} self.counter = 1 self.alphabet = string.ascii_letters + string.digits def encode_base62(self, num): base = 62 chars = [] while num > 0: num, rem = divmod(num, base) chars.append(self.alphabet[rem]) return... - Source: dev.to / about 1 year ago

• URL shorteners and why would you need one?

  Choose a shortener: Pick a link shortener that fits your needs---many offer options like custom branding, QR code creation, and analytics. Ziplink, Short.io, and Bitly are all capable of that. If you are looking for something really simple, you may want to check out TinyURL as well. - Source: dev.to / over 1 year ago

• Building a Scalable URL Shortener with Node.js (Part 1/2)

  I'm sure you're familiar with URL shortener tools like TinyURL and Bitly, as they are widely used online. It simply takes a long URL and creates a shorter, unique alias that redirects to the original link. - Source: dev.to / almost 2 years ago

• More "J3w World Order" disinfo spread online

  u/Migmag360 The reason your post cannot be posted and/or approved by us is because it contains a Bitchute link--which reddit bans. You have to mask the link using TinyURL. And then re-post it again with the new link instead. Source: over 3 years ago

• Does the Atomic Bomb exist? Part 2

  u/fedx0 I have approved this post, the reason it's still banned by Reddit is because of the Bitchute links, you cannot post Bitchute links on Reddit. If you remove the links to Bitchute, or disguise the Bitchute links using TinyUrl and re-post the article, then it should be fine. If not then you will have to post the article somewhere else, then post the link to it on here instead. Source: almost 4 years ago

Bubblewrap mentions (48)

• GPT 5.6

  Typically I just want to isolate the agent disallowing it from accessing other parts of the filesystem. Using a different user might be enough, but I typically use [bubblewrap](https://github.com/containers/bubblewrap). - Source: Hacker News / 10 days ago

• pseudoroot, fakeroost, hakoniwa... How to deal with unpriviledge packaging?

  A third way sort of in between, that I'm using in crossdev-stages already, is to leverage more modern linux features to have both sandboxing AND the illusion of being root. Hakoniwa and bubblewrap are the best tools to achieve that. - Source: dev.to / 17 days ago

• Jamesob's guide to running SOTA LLMs locally

  It depends - for what? If your security model is sandboxing an agent to ensure they don't nuke your PC, then there are a lot of options, you can use something like bubblewrap[1] or a microVM like libkrun[2] if your goal is light-weight, up to full Docker if you want the tooling that comes with that. [1] https://github.com/containers/bubblewrap [2] https://github.com/libkrun/libkrun. - Source: Hacker News / 16 days ago

• GLM-5.2 is the step change for open agents

  I use both the openai subscription and the opencode go subscription. I use the go subscription for my personal work and the openai subscription for my consulting work. The differences between the models are minimal, but I usually stick with gpt-5.4-mini, gpt-5.4, mimo-pro-2.5, deepseek-v4-pro. These latter ones have way more usage than even using 5.4-mini so I tend to use them in personal projects for that reason.... - Source: Hacker News / 27 days ago

• Launch HN: Freestyle: Sandboxes for AI Coding Agents

  Https://github.com/containers/bubblewrap?tab=readme-ov-file For hardware virtualized machines it much harder but you can do it via:. - Source: Hacker News / 3 months ago