Feature Request: Hashtag Research and Suggestions discover, analyse, and save high-performing hashtags without leaving the composer

[githb-ac]

Hashtags remain one of the most accessible organic reach levers available on Instagram, LinkedIn, and TikTok yet researching them effectively currently requires leaving the composer entirely and switching to external tools like Flick, Hashtagify, or the native platform search. The result is that most users either recycle the same hashtag sets out of convenience or spend disproportionate time on hashtag research relative to its impact. This feature request proposes a native hashtag research and suggestion engine built directly into the TryPost composer that surfaces relevant, performance-ranked hashtag recommendations in real time as users draft their posts eliminating the context switch entirely and making every post's hashtag strategy as strong as its copy.

Summary

An intelligent hashtag research panel embedded in the TryPost composer that analyses the post's content and suggests relevant hashtags ranked by reach, competition level, and fit for the account's size and niche. Users can explore individual hashtags for volume and engagement data, save curated hashtag sets for reuse across future posts, and let the AI automatically select an optimised hashtag mix based on the post's content and target audience all without leaving the drafting flow.

Why This Matters

Hashtag strategy is one of the areas where social media managers most consistently report spending time they cannot justify either researching manually in separate tools or defaulting to guesswork. A native hashtag engine that lives inside the composer removes that friction at exactly the right moment and produces measurably better hashtag selections than recycled sets or intuition alone. For Instagram and TikTok accounts in particular, the difference between a well-researched hashtag mix and a generic one can be the difference between a post reaching its existing followers only and reaching thousands of new accounts in a relevant niche making this feature a direct driver of the organic growth outcomes that users are on TryPost to achieve.

Proposed MVP

Real-time hashtag suggestions in the composer sidebar generated from the post's content, tone, and topic using AI analysis

Each suggested hashtag displayed with post volume, recent usage trend, and a competition rating low, medium, or high so users can balance reach potential against discoverability

Account size fit indicator flagging hashtags that are too large for the account's current following to rank in, steering users toward hashtags where they have a realistic chance of appearing in top posts

Hashtag detail view showing the top recent posts using that hashtag so users can assess content quality and relevance before selecting it

Saved hashtag sets users can group hashtags into named sets by topic, campaign, or content format and insert an entire set into a post with one click

AI auto-select mode that builds a complete optimised hashtag mix for the post automatically, respecting each platform's recommended hashtag count and balancing reach, niche, and brand hashtags in the correct proportions

Platform-aware limits the composer enforces and displays each platform's hashtag rules, preventing over-tagging on LinkedIn and ensuring Instagram sets stay within the optimal range

Hashtag performance tracking showing which hashtag sets have historically correlated with higher reach on the account so users can identify their best-performing combinations over time

Confirm when #27 is posted and I'll send #28.