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HASHTAG GENERATOR

Hashtags that come from your post, not from a list

Hashtagifying reads a post you have written and returns hashtags drawn from what it is actually about, formatted the way the network expects.

Browser extension Telegram chatbot Free to try, no card.

Before and after

Hashtags drawn from your own post

Your post is not changed; you get a tag set to place where that network puts them.

You wrote

Three things we learned migrating 40 microservices from REST to gRPC without downtime.

FixMeBot returns

#gRPC #Microservices #ZeroDowntimeMigration #BackendEngineering #DevOps

It takes the terms the text genuinely contains instead of the same five generic tags on everything.

A hashtag is a saved search, not a label

Every hashtag is a query somebody else runs. That reframing settles most of the decisions: a tag nobody searches brings nobody, and a tag a million people search buries you within seconds.

The useful band lies between the two, where a tag is specific enough to have an audience and narrow enough that your post sits near the top of it. So a good set is layered: one or two broad tags for the category, two or three naming the subject, one naming this post specifically.

In the example above, #Microservices is the category, #DevOps the audience, and #ZeroDowntimeMigration the search only somebody with this exact problem runs. It reaches fewer people, and the people worth reaching.

One post, tagged twice

The block that goes on every post

#marketing #business #growth #tips #success #entrepreneur

Drawn from the post itself

#B2BSaaS #PricingPage #ChurnReduction #SaaSMetrics

The first set describes an account. The second describes an article about repricing a SaaS product. Only one of the two is a search anybody runs with intent.

Formatting rules that actually break things

  • Capitalise each word. #ZeroDowntimeMigration, not #zerodowntimemigration. Networks treat the two as one tag, but screen readers read the capitalised version word by word and run the lowercase one together.
  • No spaces and no punctuation. A hyphen, an apostrophe or a full stop ends the tag at that character: #back-end posts the tag “#back”.
  • Do not open with a digit, and never post a tag of digits alone. Behaviour differs between networks, and a numeric tag is the least reliable thing you can attach.
  • Emoji terminate a tag. Accented letters and non-Latin scripts are fine, so #Fußball and #日本語 are real, working tags, but an emoji ends a tag at that point.
  • Keep it typeable. A tag long enough to need reading twice is one nobody will type into a search box.

How many, and where they go

The count that works is nearly always well below the maximum the network allows.

  • LinkedIn: three to five, at the end of the post.
  • Instagram: the platform allows up to 30; the useful number is a fraction of that, in the caption or the first comment.
  • X: one or two, worked into a sentence. Every character comes out of a 280-character budget.
  • TikTok and YouTube Shorts: a handful in the caption, one of them naming the format rather than the topic.
  • Mastodon, Bluesky and the smaller networks: tags carry more weight, because on several of them they are the main way a post is discovered.

Networks change these numbers and their own rules about them; the field's counter and the platform's current help page are the authority, not a table on a marketing site.

Where hashtags do nothing at all

They are a network feature, not a text feature. In an email subject line, a chat message, a document or the body of a web page, a hashtag is a word with a hash in front of it: not indexed, not searchable, not clickable. Search engines do not read them as tags either.

And the pattern that fails everywhere: the same 25 tags pasted under every post. It defeats the only thing a tag set is for, which is matching this post, and it is the most reliable way to look automated.

Updated August 2026

Step by step

How to generate hashtags from your post

Both platforms do the same thing in the same order.

  1. Write the post first

    Tags are extracted from your text, so finish the post, then select it in the LinkedIn, X or Instagram composer, or send it to the Telegram chatbot.

  2. Run Hashtagifying and read the set

    Check the set is layered rather than flat: a category tag, two that name the subject, and one that names the specific thing this post is about.

  3. Trim to the network, then post

    Cut the set down to what that network actually rewards (three to five on LinkedIn, one or two on X, more on Instagram) and keep a couple that differ from your last post.

Questions

Hashtagifying, in more detail

More questions are answered on the FAQ page.

Does it know how popular a hashtag is?

No. FixMeBot reads your post, not the network's search index: it can tell you what your text is genuinely about, and it cannot tell you how many people searched that term last week. When reach is the point of the campaign, check the tag on the network itself before you commit to it.

Does it change my post?

No. It returns a set of tags; the text you wrote comes back untouched, and where you place them is your decision. That also means you can run it on a post you have already trimmed to a character limit without undoing the trimming.

How many hashtags should I use?

Fewer than the platform allows, in almost every case: three to five on LinkedIn, one or two on X, a modest set on Instagram. A large block dilutes the specific tags that were actually going to find you readers.

Does it work for posts in other languages?

Yes, in all 90+ supported languages, and the tags come back in the language of the post. Non-Latin scripts work as hashtags on every major network, so a Japanese or Ukrainian post gets tags people writing in that language would actually search.

Write it once. Send it right.

Join 600,000+ people who stopped re-reading their own messages.

Free to try. No card, no sign-up wall