Paste the post. This page reads your own sentences and builds the tags out of them, instead of handing you a list it prepared for everyone.
Example post
About this postWords your post comes back to, or writes side by side more than once.
About your subjectWritten once, but specific enough to be a topic on its own.
Would fit any postWords that describe every post on LinkedIn, yours included.
Nothing to build a tag from yet. Paste a post and its own words come back as hashtags.
Already in your post:#logistics #innovation
JavaScript is off, so this shows the tags of an example post instead of yours.
From your post
5
hashtags, none of them invented
Some describe this post, the rest would fit any post on the topic. Keep the first ones.
Free tool, runs in your browser. Your post never leaves this page.
A LinkedIn hashtag is one single word: the first space or punctuation mark ends it, so a two-word topic has to be written joined up, as in #EmployerBranding. LinkedIn matches hashtags whatever the case, but capital letters are what make a joined-up tag readable.
The working out
Every tag above, with the words of your post it was built on and how often you wrote them. Nothing in this table is a word you did not write.
| Hashtag | The words it came from | In your post | Reads as |
|---|---|---|---|
#WarehouseRobotics | warehouse robotics | 2 times | About this post |
#RackingData | racking data | 2 times | About this post |
#Productivity | productivity | Once | Would fit any post |
#Machines | machines | Once | About your subject |
#Spreadsheets | spreadsheets | Once | About your subject |
This post has nothing repeated and nothing specific enough yet, so there is nothing honest to propose.
Tagging is what you do last. MagicPost is for everything before it, and for what the post got once it was out.
Write your post in MagicPostMethodology
The page ranks the words of your post by how often they come back, whether you wrote them in the first lines, and whether you write two of them side by side. Links, e-mail addresses and @mentions are skipped, so a URL never turns into a topic.
A hashtag stops at the first space, so two words are joined into one. Each word keeps a capital letter, and a short all-caps word such as B2B or AI keeps its own spelling. Punctuation and apostrophes are dropped, because LinkedIn would cut the tag there anyway.
A word you wrote once, that is short and is not a name, proves nothing about what your post is about. It is not proposed. That is why this page often returns fewer tags than you asked for, and why it sometimes returns none at all.
Your next step
Labelling comes last. MagicPost is for the part before it: getting the thing written, in your own voice, on a day you had nothing.
The post the tags come from. MagicPost drafts it from what you have already published, so it sounds like you before anything gets tagged.
A subject on the empty days. Angles built on the themes you keep coming back to, instead of a prompt box and a blank screen.
Queued, then measured. Pick the slot, then read what the post got once it was out, so the next one is a decision instead of a guess.
FAQ
From the post you pasted, and from nothing else. Your own words are ranked by how often they come back, whether they sit in the first lines, and whether you write two together; the top ones become tags. No stored list of “good” hashtags, no random draw: the same post always gives the same tags, in the same order.
No public dataset sets an optimal number, so this page does not pick one for you: it proposes up to three, five or ten and lets you drop the ones you do not want. If what you want is to check the post you have already written, that is a different question and it has its own page.
Because it will not pad. A word you used once, that is short and is not a name or an acronym, says nothing about your subject, so it is left out rather than shipped as a tag. Asking for ten on a four-line post will often return three. Those three are worth more than seven made up to fill the row. See the MagicPost post generator
For LinkedIn, nothing: #employerbranding and #EmployerBranding lead to the same place. For people, a lot. A capital at the start of each word makes a joined-up tag readable at a glance, and makes a screen reader pronounce the words instead of spelling out a run of letters. Every tag on this page comes out capitalised.
No, and this page will not print a number it has not measured. MagicPost analyses LinkedIn posts at scale, but that corpus records whether a post carries hashtags, not how many people follow a given tag. Publishing a popularity ranking would mean copying one from somewhere else and hoping it was true.
No. Everything on this page is computed in your browser, on the text in the box. Nothing is uploaded, nothing is stored, and the page makes no network call while you type.
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MagicPost writes drafts in your own voice, keeps them queued, and shows you what each one got once it is out. The tags can wait until the end.
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