CrowdsourcedExplorer.com

What it does

Discover what people from all over the world think you should know before moving to or visiting their cities—whether you’re planning an adventure or a move. CrowsourcedExplorer.com provides advice, tips, recommendations, and more from true experts: locals.

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  TripScout2017 · ▲148

  Self-guided city tours from local experts

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  Guides by Lonely Planet2016 · ▲193

  Explore city guides curated by experts.

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  Wanderprep2017 · ▲190

  To-the-point travel pro tips. A lot of them.

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  Travel Scams2019 · ▲154

  Crowdsourced list of travel scams 🌎😓

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  RoamRank2024 · ▲129

  City guides for digital nomads

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  Travelindicator2015 · ▲89

  A new interactive and data-driven travel guide

• TL
  The load-bearing vocabulary of Claude▲703

  Life & fun · 13d ago · louisabraham.github.io

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  Articos▲398

  Launch with confidence, not gut instinct

  Life & fun · 14d ago · articos.com

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  Nex▲357

  Claude Cowork for high-volume GTM workflows

  Life & fun · 6d ago · nex.ai

• CC
  Creatium Coach▲321

  Your multimedia mentor that takes you from mid to great

  Life & fun · 13d ago · producthunt.creatium.info

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  Notify.domains▲316

  Know the moment a domain opportunity appears

  Life & fun · 11d ago · notify.domains

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  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 · 29d ago · everycube.alen.is

• 
  Resend▲1,326

  Email for developers

  Dev tools · 2023 · resend.com

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  STORI AI▲1,320

  Your ideas become visually compelling branded social posts

  AI · 2023 · storiai.com

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  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