The Unicorn List

What it does

Introducing The Unicorn List, your ultimate guide to the world of billion-dollar private companies. Discover and explore over 200 high-value unicorns, each valued at a staggering 1 billion dollars or more.

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  The Speed of a Unicorn2016 · fleximize.com · ▲199

  See how long it took for startups to become unicorns 🦄

• 
  Crunchbase Unicorn Leaderboard2015 · techcrunch.com · ▲105

  Leaderboard of private companies with > $1BN Valuations

• 
  Unicorn Republic2019 · ▲147

  List of startups that evolved into $1 billion+ corporations

• 
  Private Equity List2023 · privateequitylist.com · ▲349

  User-friendly alternative to Crunchbase and Pitchbook

• 
  Investor List2016 · investorlist.co · ▲498

  A searchable, crowdsourced list of over 1k investors

• 
  Unicorn Startup Simulator2016 · toggl.com · ▲244

  Manage your startup to reach $1 billion valuation in 1 year

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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 · 12d ago · wallhop.io

• 
  Prefer▲201

  The execution layer for AEO

  Growth · 23d ago · tryprefer.com

• 
  MakerMap▲197

  A living map of makers and what they’re building

  Growth · 27d 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

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  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