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Sets, not lists

AI Hashtag Generator

Core, niche and broad sets for one post — because the useful question is never "which thirty tags" but "which shelf, and which ones change next week".

Short answerLast edited October 31, 2026

The AI Hashtag Generator builds a focused set of up to ten hashtags for a post, mixing broad and niche tags in the tone you choose. Ten relevant tags keep the caption readable, instead of a wall of repeats that dilutes the post.

How it works

1

Describe the post

Write what the post shows and who it is for.

2

Pick the mix

Choose the platform and whether you want broad or niche tags.

3

Copy the sets

Each set is one line, ready to paste.

Three shelves, one post Three shelves

Broad
#travel#coffee#running#diy#food
Niche
#coldbrewat#trailrunningbalkans#homewoodworking#sourdoughstarter
Community
#sundaybake#citymarket#first100km#makersgonnamake

One broad tag for context, two or three niche tags that describe the post exactly, one community tag where people already talk to each other. That is the whole strategy; everything else is a number to tune.

How many tags fit on each platform

PlatformAllowedReads well withWhere tags sit
Instagram308 – 12End of caption or first comment
TikTokCaption length2 – 4Inside the caption
XNo fixed limit1 – 2Where they read as words
LinkedInNo fixed limit3 – 5After the last line
YouTubeAbout 1510 – 15 phrasesTag field, not description

Hashtag questions

Do hashtags still work?
As a filing system, yes: they help a platform decide who to show a post to first. As a growth trick, no — reach comes from the caption, the hook and watch time.
Are the sets copy-ready?
Yes. Each set is one line of tags with a copy button and a character count, so it can be pasted straight into a caption or a first comment.
How do I know if a tag is too big?
Open the tag and look at the top nine posts. If your post would look out of place among them, the shelf is too crowded for it.
Should tags go in the caption or the comments?
On Instagram both work; the first comment keeps a long caption readable. On TikTok and X they belong inside the caption, because there is nowhere else to put them.
Can I reuse the sets for a different post?
Keep the core set and rotate the rest. Reusing an entire block on unrelated posts is what makes reach fall, not the tags themselves.

Hashtags are a filing system, not a growth hack

Hashtags are not a growth channel and never were. They are a filing system. A tag tells the platform which shelf a post belongs on, and the shelf decides who sees it first: the handful of people who deliberately browse that shelf, plus the recommendation system, which reads the tags as one signal among many. Thinking about them as shelves rather than as magic words answers most of the questions people ask.

Three sizes of shelf

Broad tags describe a whole field — #travel, #coffee, #running. They are read by everybody and owned by nobody, which means a post competes with millions of others in the same hour. Niche tags under a few hundred thousand posts describe a specific interest: #coldbrewat home, #trailrunninginthebalkans. The audience is smaller, more attentive and far more likely to be the actual customer. Community tags are the narrowest of all: a challenge name, a local market, a fan group. They are where a small account can be seen at all, because the volume is low enough for a post to survive the first hour.

The mistake is choosing one size. A post with only broad tags is invisible; a post with only community tags runs out of reach after a day. The useful mix is one clear broad tag for context, two or three niche tags that describe the post precisely, and one community tag that already has a habit of interacting.

What the platform limits actually are

Instagram allows thirty tags per post and rewards far fewer; between eight and twelve focused tags is the common working number for accounts without a large following. TikTok's caption is short, so two to four tags fit naturally and more start to look like an advertisement. X counts each tag as a word and rewards one or two. LinkedIn rewards three to five and hides posts that are thick with them. YouTube uses tags as metadata rather than as a discovery surface, so ten to fifteen well-chosen phrases are enough.

None of those numbers is a law, and none of them is the reason a post succeeds. They are a rough envelope: too many tags makes a caption unreadable, and an unreadable caption loses more than any tag earns.

Rotation: the part everyone skips

Using the same thirty tags on every post tells the platform that the posts are variations of one thing, and after a fortnight the reach shrinks. The fix is mechanical. Keep a core set that describes the account, and rotate the rest: half the tags change with the post, a quarter change with the format, and the last quarter is chosen from what performed last week. The tool returns the sets separately so the rotation can be done by hand in ten seconds.

How to read the result

Checking the size of a tag before you use it takes a few seconds and prevents the most common mistake, which is putting a post about a small workshop into a shelf of ten million. Open the tag, look at the top posts, and ask one question: could my post sit comfortably beside them? If the top nine posts are professional studios with crews, a phone photo of a home workshop is not competition, it is noise.

Finally, treat tags as one input among three that matter more: the first line of the caption, the visual hook, and whether people watch the whole thing. Tags put a post on a shelf. They do not make anyone pick it up.

When tags do nothing at all

There are posts where the tags are irrelevant and no set will rescue them: a photo with no context, a video whose first second explains nothing, a caption that begins with a greeting. In those cases the tags are doing their filing job correctly and the file is empty. Change the first frame, not the shelf.

The reliable test is cheap. Publish the same idea twice, a week apart, with different first lines and the same tag set. Whichever gets watched longer tells you where the problem lives. If both fail, the subject is not interesting to that audience, and no amount of tag research will make it so. Tags are the cheapest part of a post to change, which is exactly why they are the part most often blamed for a problem that starts three seconds earlier.

Keep one note per post, then: the tags you used, the first line, and the watch time. Three columns of a spreadsheet are enough to see which shelf suits the account, and after a month the pattern is obvious enough to stop guessing.

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Quick facts

  1. Ten relevant hashtags beat sixty: repeated and unrelated tags dilute the topic signal and eat the space the caption needs.
  2. A hashtag is a topic label, not a keyword field — a tag nobody follows adds nothing but clutter.
  3. A language model reads text in tokens, and one token is roughly four characters of English, so a 300-word answer is about 400 tokens.OpenAI Cookbook
  4. The output depends on the prompt: the same request with a different tone or length instruction produces a different text, not a different answer quality.OpenAI Cookbook
  5. A single emoji can be several code points joined together, so “count the characters” gives a different number from “count what you see”.Unicode Consortium

Questions people ask

How many hashtags should I use on Instagram?
Instagram allows up to 30, but a set of five to ten specific tags is easier to read and usually performs well. Use a mix of broad and niche tags, and change the set when the post’s topic changes.
Do hashtags still help reach?
They help place a post in topic feeds on some platforms, but search and recommendations rely on many other signals. Use tags that describe the content accurately, and do not rely on them alone.
Should hashtags go in the caption or in the comments?
Either works for reach, but hashtags placed at the end of the caption keep the text tidy and are read with it. Put them in the comments only if the caption must stay short.

What this page is about

  • Large language model

    A model that predicts the next token of a text; the site sends the prompt to a hosted model and returns its answer.

  • The standard that gives every character of every script a code point, and defines what counts as one user-perceived character.

Official sources cited on this page

  1. How to count tokens with tiktokenOpenAI Cookbook
  2. The Unicode StandardUnicode Consortium
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