Article Summarizer by TinyQuiz

What it does

Too busy to read long articles? 📚 We got you. With our tool, you can get the gist of any article in seconds. Boom! Short, sweet, and to the point. Plus, we've thrown in a quick quiz at the end to test what you got. 🧠

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  Summarize this site2023 · ▲92

  Get short summaries from long web articles

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  Summari2022 · ▲624

  Instantly summarize any article or webpage in one click

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  informed news: summaries2023 · apps.apple.com · ▲170

  Get the news you need, no matter how much time you have.

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  Free Summarizer2015 · freesummarizer.com · ▲167

  Summarize *any* text online in just a few secs. *MAGIC*

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  Text Summarizer AI2024 · summarizer-ai.com · ▲140

  Summarize any text content in seconds for free

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  Twitter Thread Summarizer2021 · twitter.com · ▲103

  Compress long Twitter threads into a short story

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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