Tripper Guide

What it does

Browse 100,000+ beautiful travel guides, and use AI to personalise any each of them to your tastes, budget and length of stay. Live flight data gets you the cheapest deals, and everywhere to eat, drink and stay has up to date info, ratings and reviews.

• 
  Good tripper guide2023 · ▲96

  On-the-go historical AI insights

• 
  Tryp.com2021 · ▲105

  We use AI to build the best flight and hotel packages.

• 
  TravelTrail-Planifica Tu Viaje2024 · ▲100

  Your interactive AI trip planner

• 
  Trip Budget2024 · ▲45

  AI travel cost prediction and planning

• 
  OFFAIGO2024 · ▲57

  Get AI to find the perfect trip instantly

• 
  Good Tripper Guide2024 · ▲11

  Discover Nearby History with AI-Powered Good Tripper Guide!

• TL
  The load-bearing vocabulary of Claude▲703

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

• 
  Articos▲398

  Launch with confidence, not gut instinct

  Life & fun · 13d ago · articos.com

• 
  Nex▲356

  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

• 
  SoloUno▲310

  Take control of hair pulling, nail biting & skin picking

  Life & fun · 30d ago · solouno.io

• 
  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