VibeHunt

What it does

Isn't it great being able to look for recommendations based on VIBES instead of raw and rigid WORDS? Try something like "Recommend a book that feels like a conversation with a time-traveling pirate philosopher." and VibeHunt would find you your next favorites!

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  Meet New Books2023 · ▲105

  Discover books based on your favorites

• 
  EmoLibro2023 · ▲92

  Get top book picks, for your mood, for the present

• 
  vibecheck2025 · ▲202

  Take a quiz to build your personality & match w/ people

• 
  Flickseeker2020 · ▲142

  Find movies by mood

• 
  Spoken: Explore2025 · ▲176

  Vibe shop 1M+ products for your home ✨

• 
  VIBE2020 · ▲81

  Find places that have good vibes.

• TL
  The load-bearing vocabulary of Claude▲703

  Life & fun · 12d ago · louisabraham.github.io

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  Articos▲399

  Launch with confidence, not gut instinct

  Life & fun · 13d ago · articos.com

• 
  Nex▲357

  Claude Cowork for high-volume GTM workflows

  Life & fun · 5d ago · nex.ai

• CC
  Creatium Coach▲321

  Your multimedia mentor that takes you from mid to great

  Life & fun · 12d ago · producthunt.creatium.info

• 
  Notify.domains▲314

  Know the moment a domain opportunity appears

  Life & fun · 10d ago · notify.domains

• 
  Scroll through all 43252003274489856000 Rubik's Cube states▲295

  Scroll through all 43,252,003,274,489,856,000 reachable Rubik's Cube permutations.

  Life & fun · 28d ago · everycube.alen.is

• 
  Resend▲1,326

  Email for developers

  Dev tools · 2023 · resend.com

• 
  STORI AI▲1,320

  Your ideas become visually compelling branded social posts

  AI · 2023 · storiai.com

• 
  Kombai▲1,080

  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▲871

  Create and ship lottie animations to sites and apps faster

  Dev tools · 2023 · lottielab.com

• LC
  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