Burning Q's

What it does

Your audience is on Quora, Reddit and other UGC networks. We analyze those platforms and extract high-intent keywords from our findings so you can create content that your audience is looking for.

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  Keyword Research Tool2025 · massiveonlinemarketing.nl · ▲319

  Quickly research keywords with no sign ups or payments

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  People Also Search For2022 · dashword.com · ▲97

  Find relevant keywords your audience is searching for

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  Q-Stats2020 · ▲214

  Get free marketing insights for every question on Quora.

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  Keyword We Use2025 · keywordsweuse.com · ▲104

  Find the questions that people ask

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  Notikey2024 · notikey.com · ▲128

  Get notified when your keywords are mentioned on Reddit

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  Answerthepublic2025 · answerthepublic.com · ▲120

  Insights that answer your audience's questions

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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 · 22d 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