nowfound

Work · August 15, 2023

Matter

Better reader

Visit site ↗Alternativestop 22% of August 2023

What it does

Matter pulls everything you want to read into one beautiful place. With powerful tools, curation, seamless audio and more, we're building a reader for today's internet.

Does the same job

all alternatives →
  • Reader2023 · ▲113

    Sign up today and find your next great read on Reader

  • Read Something Great2021 · ▲243

    Discover timeless articles from the belly of the internet.

  • Readup2019 · ▲80

    Track and improve your online reading habits.

  • Readup2020 · ▲118

    A social platform that incentivizes deep, focused reading

  • Summarize2019 · ▲256

    Remember the books you read through organized notes 📚

  • Desklamp2022 · ▲133

    Remember everything you read and revise faster

More work this month

the category →
  • Let agents source clips from terabytes of your local video

    Work · 18d ago · clipto.com

  • Free local transcription that is 100% Private

    Work · 17d ago · hynote.ai

  • The app store for voice native apps that lives in your notch

    Work · 28d ago · voiceos.com

  • Ask any question, get a video back instantly

    Work · 24d ago · scrimba.com

  • Handle all of the work before, during, and after meetings

    Work · 17d ago · calendly.com

Launched alongside, August 2023

the whole month →
  • Resend1,326

    Email for developers

    Dev tools · 2023 · resend.com

  • STORI AI1,320

    Your ideas become visually compelling branded social posts

    AI · 2023 · storiai.com

  • Kombai1,080

    A new AI model that you can prompt with UI designs

    AI · 2023 · kombai.com

  • Understand your audience without 50 interviews

    AI · 2023 · founderpal.ai

  • Lottielab871

    Create and ship lottie animations to sites and apps faster

    Dev tools · 2023 · lottielab.com

  • LC

    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