How Trytagly Generates Hashtag Suggestions

1. Your topic becomes the seed

Trytagly normalizes the topic you enter and creates direct variations. A phrase such as “gym workout” can produce the combined topic, individual meaningful words, and common TikTok-oriented variations. Empty input is rejected before generation.

2. Optional related-word enrichment

The browser may request related words from Datamuse and inspect public Reddit search results for hashtag-shaped phrases. These sources expand the working list; they do not determine the final ranking and may return nothing.

If either request fails, the generator falls back to its base suggestions. Generation should still complete.

3. Deduplication and scoring

Duplicate labels are removed. Suggestions receive a simple relevance score based on whether they contain the full topic or one of its words. Shorter tags receive a small readability preference. The scoring is a Trytagly heuristic, not a TikTok score.

4. Category and reach labels

Category labels are inferred from words inside the hashtag. Estimated reach bands are assigned from tag length. They are interface aids, not live view counts, search volume, forecast reach, or data supplied by TikTok.

Because the current labels are heuristic, users should inspect unfamiliar tags on TikTok before publishing. We plan to keep this limitation visible rather than presenting estimates as measured facts.

5. The selected count

Trytagly returns the highest-ranked candidates up to the selected count. Five is the default. The larger 10, 20, and 30 options are intended for research and editing, not as instructions to paste every result.

Limitations

• Trytagly cannot see or evaluate the video itself.
• External data can be unavailable, delayed, regional, or unrelated.
• A hashtag can change meaning after a suggestion is generated.
• No suggestion guarantees views, ranking, or recommendation placement.
• The user remains responsible for checking relevance and platform rules.