Hypothesis

What it does

Use the Hypothesis browser extension to annotate anything, anywhere.

Hypothesis is the leading social annotation platform trusted by 300+ institutions to boost student engagement, comprehension, and critical thinking — seamlessly integrated into your LMS.

• 
  Fabric browser extension2023 · fabric.so · ▲322

  Rediscover your notes and files as you browse

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  Notelet2020 · notelet.so · ▲348

  Create a website or blog with Notion.

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  Collabwriting2022 · ▲380

  Add structure and collaborate around stuff you find online

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  AI Writer Chrome Extension2021 · contentbot.ai · ▲377

  Use an advanced AI to help you write content

• 
  Nocket2024 · nocket.io · ▲110

  Save bookmarks, highlights, notes & AI summaries in Notion

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  Sidenotes2014 · sidenotes.co · ▲125

  Annotate the web.

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  WallHop – 12ft.io is gone, so I built a replacement▲287

  wallhop is a free paywall bypass. Paste any article link to read it without paywall popups, ads or clutter. No signup, no extension. A simple 12ft.io alternative.

  Growth · 11d ago · wallhop.io

• 
  Prefer▲201

  The execution layer for AEO

  Growth · 22d ago · tryprefer.com

• 
  MakerMap▲197

  A living map of makers and what they’re building

  Growth · 26d ago · makermap.lol

• 
  Resend▲1,325

  An entire collection of pre-built components with a much faster development experience.

  Dev tools · 2023 · resend.com

• 
  STORI AI▲1,316

  Your ideas become visually compelling branded social posts

  AI · 2023 · storiai.com

• 
  Kombai▲1,079

  A new AI model that you can prompt with UI designs

  AI · 2023 · kombai.com

• 
  User Persona Generator▲1,014

  Understand your audience without 50 interviews

  AI · 2023 · founderpal.ai

• 
  Lottielab▲869

  Create and ship lottie animations to sites and apps faster

  Dev tools · 2023 · lottielab.com

• 
  LLMs can generate valid JSON 100% of the time▲854

  Outlines is a Python library that focuses on text generation with large language models. Brandon and I are not LLM experts and started the project a few months ago because we wanted to understand better how the generation process works. Our original background is probabilistic, relational and symbolic programming. Recently we came up with a fast way to generate text that matches a regex (https://blog.normalcomputing.ai/posts/2023-07-27-regex-guide...). The basic idea is simple: regular expressions have an equivalent Deterministic-Finite Automaton (DFA) representation. We…

  AI · 2023 · github.com