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Aloud

Turn spoken feedback into tasks your coding agent can run

Mac
Developer Tools
Artificial Intelligence
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Hunted byWojciech DobryWojciech Dobry

Feedback is easier said than written. Aloud records your voice, your screen and a live transcript together while you talk through your app – pointing at things, changing your mind. Then one press: it rewrites the transcript into what you actually meant, asks about anything that could be read two ways, pulls the screenshots you were pointing at, and turns the session into tasks for Claude Code, Cursor or Codex. Whisper runs on-device – your audio and video never leave the Mac.

Top comment

I build with coding agents all day, and the bottleneck stopped being the code a while ago. It's the brief. I'd spot something wrong in the UI, then spend five minutes typing what I could have said in ten seconds – and still leave out the screenshot that would have made it obvious. Aloud is the opposite. Hit record and talk through the build like someone's sitting next to you. Voice, screen and a live transcript, captured together, with the recorder hidden from the video. The part I'm proudest of is what happens after you stop. Real speech is a mess: you say "move this over there", you change your mind mid-sentence, you trail off. Aloud rewrites the transcript into what you actually meant, keeps only the calls you stood by, then asks about anything still ambiguous – one question at a time, over the line it's about, with a recommended answer and one alternative. It pulls the frames you were pointing at, crops and captions them, and turns the whole thing into tasks sized for one agent in one worktree. Copy a task, or export the session as a single self-contained HTML file and drop it into Claude Code, Cursor or Codex. Transcription is on-device Whisper – audio and video never leave your Mac. Only transcript text goes out, and only when you ask for the cleanup. macOS, Apple silicon, free. What does your feedback → agent handoff look like today? I want to know where this breaks for you.

Comment highlights

This is intriguing but I'm confused. I do this process with Whisperflow and tell Claude Code all the things I want to have changed on screens and use Fable to orchestrate Opus agents to make the changes. Since it can see the screen shots on the local dev server for the screen I'm talking about it knows already and I just tell it which button or components to change (not by component library name, just natural language) and it does the updates? Perhaps I'm missing something.

@wojciech_dobry Congrats on the launch. The pointing is the part I'd use. Not having to describe where something is, top left, bottom of this panel, that saves a hell of a lot of time. Definitely worth a try. Thanks for making this.

@wojciech_dobry The brief-quality framing rings true, but spoken feedback leans hard on pointing: "move this up", "that button". When the transcript says "this" and the capture shows where my cursor was, does the task your agent receives carry the actual element or file reference, or just the words?

About Aloud on Product Hunt

Turn spoken feedback into tasks your coding agent can run

Aloud launched on Product Hunt on August 20th, 2026 and earned 108 upvotes and 12 comments, placing #10 on the daily leaderboard. Feedback is easier said than written. Aloud records your voice, your screen and a live transcript together while you talk through your app – pointing at things, changing your mind. Then one press: it rewrites the transcript into what you actually meant, asks about anything that could be read two ways, pulls the screenshots you were pointing at, and turns the session into tasks for Claude Code, Cursor or Codex. Whisper runs on-device – your audio and video never leave the Mac.

Aloud was featured in Mac (103.6k followers), Developer Tools (517.8k followers) and Artificial Intelligence (476.4k followers) on Product Hunt. Together, these topics include over 204.4k products, making this a competitive space to launch in.

Who hunted Aloud?

Aloud was hunted by Wojciech Dobry. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Reviews

Aloud has received 1 review on Product Hunt with an average rating of 4.00/5. Read all reviews on Product Hunt.

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