Awesome Marketing Websites

What it does

A free collection of the best marketing websites for marketers, designers and developers alike. Find the best inspiration from across the web, hand-picked for both style and function. Filter based on page types, sections and industries.

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  Market by Designmodo2015 · ▲161

  Best tools for designers, developers and marketers

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  Amazing Websites2022 · atulghorpade.gumroad.com · ▲51

  Curated list of useful websites of many niches

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  Digital Tools Directory2016 · ▲147

  A curated list of awesome digital marketing tools

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  Marketing Pages2018 · pageflows.com · ▲275

  Marketing page design inspiration in your inbox every week

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  Portfolio Design Inspiration2023 · cursorup.com · ▲142

  Incredible product designers' portfolios

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  Awesome Marketing2024 · github.com · ▲7

  A curated list of awesome marketing tools and resources

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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

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  Prefer▲201

  The execution layer for AEO

  Growth · 23d ago · tryprefer.com

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  MakerMap▲197

  A living map of makers and what they’re building

  Growth · 26d ago · makermap.lol

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  Resend▲1,325

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

  Dev tools · 2023 · resend.com

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  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

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  User Persona Generator▲1,014

  Understand your audience without 50 interviews

  AI · 2023 · founderpal.ai

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  Lottielab▲869

  Create and ship lottie animations to sites and apps faster

  Dev tools · 2023 · lottielab.com

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  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