Segment reach

What it does

Segment Reach is an email tool that lets businesses create targeted email campaigns based on customer preferences, behavior, and demographics. It's a great choice for businesses of all sizes looking to achieve their email marketing goals.

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  Reach2025 · reach.techflod.com · ▲12

  Smartest way to automate your email sending

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  Reach from SalesStream.ai2024 · salesstream.ai · ▲339

  World's simplest free-forever email & SMS campaign builder

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  Segment2014 · twilio.com · ▲318

  Collect your data once, then send it to 200+ tools.

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  Reach by Maze2022 · maze.co · ▲402

  Send targeted product research campaigns, faster

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  EmailMatcher2017 · ▲257

  Find anyone's email address in a matter of seconds, for free

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  SegmentFlow.aiMar 2026 · segmentflow.ai · ▲18

  Email marketing for e-commerce, without the complexity.

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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 · 13d ago · wallhop.io

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  Prefer▲201

  The execution layer for AEO

  Growth · 24d ago · tryprefer.com

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  MakerMap▲197

  A living map of makers and what they’re building

  Growth · 28d ago · makermap.lol

• 
  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