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Dictating LinkedIn posts: the fastest cure for corporate voice
The reason most LinkedIn posts read badly is that people type them. Speaking the same idea produces something that sounds like a person, because it came from one.
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Why spoken posts read better
Something happens to most people's prose when they type into a professional network. Sentences get longer, verbs get weaker, and phrases like "excited to share" appear from nowhere. Nobody talks like that, which is exactly the point: they are not talking, they are performing writing.
Dictation removes the performance. Explain the thing out loud, as you would to a colleague, and the result is shorter, more direct and more specific — because speech does not tolerate padding the way typing does.
Typed
Excited to share some thoughts on the evolving landscape of on-device machine learning and what it means for the future of privacy-first software development in 2026 and beyond.
Spoken, then lightly edited
We moved our speech recognition off the server and onto the laptop last month. It's 40% cheaper to run and I no longer have to answer the "where does the audio go" question in every sales call. Here's what broke on the way.
The second one took eleven seconds to say. The first took two minutes to type and says nothing.
The workflow
- Open the composer and click into it Start a post, then click into the text area. The cursor has to be in it.
- Say the post as if explaining it to one person Not to an audience. The specificity comes from imagining a single listener.
- Release and read it Speech produces filler and repetition. Cut both.
- Add the structure by keyboard Line breaks, the one-line opener, any list formatting.
- Type mentions and hashtags @ and # open pickers that need real keystrokes.
The LinkedIn-specific bits
| Thing | How to handle it |
|---|---|
| @ mentions | Type the @ and pick from the list. Dictating "at" produces the word, not the picker |
| Hashtags | Type them. LinkedIn's suggestions need real keystrokes |
| Line breaks | Shift+Enter. Dictating "new line" is unreliable in the composer |
| The 3,000 character limit | Speaking hits it faster than you expect — around four or five minutes of talking |
| The "see more" fold | The first two lines decide whether anyone reads the rest. Write those by hand, after |
| Comments | Ordinary text fields. Dictating replies to comments is the highest-value use here |
| Direct messages | Same. Short and conversational, which is what speech is best at |
Where the real return is: comments and DMs
Posts get the attention, but the compounding activity on LinkedIn is replying. A thoughtful comment on someone else's post reaches more people than most posts do, and it costs a typed paragraph nobody has time for.
Fifteen seconds of speaking, read back, posted. Ten of those a week is a different presence from one post a month, and it is a habit dictation makes survivable.
- Comments. Say the specific thing you actually thought, rather than "great post".
- Connection notes. The personalised note almost nobody writes because typing it is friction.
- Replies to recruiters and enquiries. Three sentences each, forty a week for some people.
- Draft posts in a notes app first. Dictate there, edit, then paste. The composer is a poor place to think.
A word of caution
Dictation removes friction, and friction on a public professional network has protective value. It is now very easy to post something at speed that you would not have finished typing. Read it twice. If it is about a colleague, an employer or a customer, leave it an hour.
Questions
Does LinkedIn have voice typing?
Not on the desktop site. Use macOS's own dictation or a system-wide app, which types into the composer in any browser with nothing installed.
Why do my hashtags not work when dictated?
LinkedIn's hashtag and mention suggestions open on a real keystroke. A dictation app inserting the character does not trigger the picker. Type @ and # by hand.
How long can a LinkedIn post be?
Around 3,000 characters for a post, which is roughly four or five minutes of speech. Comments are shorter. Dictation reaches those limits faster than typing does, so cutting is part of the workflow.
Will people be able to tell a post was dictated?
Only in the sense that it will sound more like you. Spoken drafts are shorter and more direct once the filler is cut, which reads better on LinkedIn than carefully typed corporate prose.