If you've ever used voice dictation for work, you know how quickly it gets difficult for real work communication and writing. You change your mind halfway through a sentence, and the transcriber types every word anyway. You go back to fix it, and sometimes you just give up and type the whole thing yourself. Typing gives you a moment to think before you put words on the page. But voice dictation expects you to think out loud in perfect sentences, which almost nobody can actually do. Scribe works differently. It feels more like talking to a smart writing assistant than dictating into a microphone. You give it the rough idea, the way you'd explain something to a friend, and it writes the actual message in your voice. You can ramble or change your mind and the message still comes out clean. The more you use it, the closer it gets to sounding like you. A few things Scribe does: 1. Writes a full message from a rough spoken idea. Hit your Scribe hotkey and say "write a follow-up to John about the design review" and Willow drafts the email in your voice. 2. Replies in context. Inside an email or Slack thread, say "reply and tell him I'll send the deck by Friday" and Scribe uses the existing thread to write the response. 3. Rewrites any text you highlight. Press your Scribe hotkey on a selection and say what you want changed. Try "make this writing more clear" or "rewrite this in Mandarin." 4. Works directly inside the apps you already write in, with full awareness of the document or thread around you. Close to 20% of ChatGPT usage is helping people with communication like drafting emails or rewriting messages. Scribe is built exactly for that job. It runs on your voice, lives inside the apps you're already using, and picks up your writing style. Willow now has two voice modes. Dictation, our original product, lets you type with your voice anywhere on your computer. And Scribe writes the message for you when you'd rather speak the gist. Between them, my hands have barely touched the keyboard today! For the Product Hunt community, we're offering 50% off for the first three months. Link at the top. Our team would like to hear your feedback. Try it for a few days, tell us what you'd want next, and we'll be in the thread answering questions all day.
Human Signal
创始人 / Maker 评论
优先展示 Product Hunt 上对理解条目有帮助的人类文本。
Topics
ProductivityWritingArtificial Intelligence
痛点分析发布于 2026/05/26
痛点为 AI 基于上游原始证据的初步提炼；未包含额外中国市场检索。
痛点
用户在需要撰写工作沟通内容（如邮件、Slack消息、iMessage或Google Docs）时，现有语音听写工具要求他们以完美句子形式实时口述，但实际思考过程充满犹豫、改口和不连贯。maker comment明确指出“你中途改变主意，听写器仍逐字记录；回头修改时往往放弃，最终自己打字”。这导致用户要么忍受大量后期编辑，要么放弃语音直接打字，无法利用语音的快速输入优势。同时，用户希望最终消息保持个人语气和风格，但传统听写无法区分临时口语支架与持久表达特征，输出仍需大量润色。这种摩擦造成时间浪费、重复劳动和沟通质量不稳定，用户不得不在快速输入与清晰表达之间二选一。
Discussion
精选 Product Hunt 讨论
保留原始讨论语境，用来交叉验证上游条目的真实反馈。
The interesting bit here is the gap between “how I talk while thinking” and “how I want the final message to read.” A lot of voice tools preserve the first too literally, which makes the output fast but still not quite sendable. I’d be curious how Willow separates transient spoken scaffolding — false starts, caveats, messy ordering — from durable voice traits like sentence rhythm, level of warmth, and how direct someone tends to be. That feels especially important inside Slack/email, where the same person may want a very different register depending on recipient and risk.
The biggest issue for me has always been that I don’t speak in perfectly structured sentences, especially when writing emails, messages, or prompts. So the idea of turning a rough spoken thought into a clean message in your own voice feels much more useful than traditional dictation. The context-aware replies are especially interesting. If it can understand the thread and draft something that actually fits the situation, that could save a lot of time. A few questions: how much does Willow learn from someone’s writing style over time, and can users control or reset that personalization? Also, how does pricing work after the Product Hunt discount? Really curious to see where this goes. Good luck with the launch!
honest question after 6 launches: what's the retention curve actually look like for scribe specifically versus the base dictation product. dictation has obvious daily utility because it replaces typing. scribe feels more like something people try for a week and then forget exists unless it's deeply in the habit loop. how are you solving for that
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"body": "<p>The interesting bit here is the gap between “how I talk while thinking” and “how I want the final message to read.” A lot of voice tools preserve the first too literally, which makes the output fast but still not quite sendable.</p><p></p><p>I’d be curious how Willow separates transient spoken scaffolding — false starts, caveats, messy ordering — from durable voice traits like sentence rhythm, level of warmth, and how direct someone tends to be. That feels especially important inside Slack/email, where the same person may want a very different register depending on recipient and risk.</p>",
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"body": "<p>The biggest issue for me has always been that I don’t speak in perfectly structured sentences, especially when writing emails, messages, or prompts. So the idea of turning a rough spoken thought into a clean message in your own voice feels much more useful than traditional dictation.<br></p><p>The context-aware replies are especially interesting. If it can understand the thread and draft something that actually fits the situation, that could save a lot of time. A few questions: how much does Willow learn from someone’s writing style over time, and can users control or reset that personalization? Also, how does pricing work after the Product Hunt discount?<br></p><p>Really curious to see where this goes. Good luck with the launch!</p>",
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