Use CasesPlan daily tweets from live X sentiment
Personal assistantWeb 3 / CryptoResearchMarketing / contentAutomation

Plan daily tweets from live X sentiment

Recipe by @hlfbld

How it works

The agent searches X for recent posts mentioning $NEAR, NEAR Protocol, NEAR AI, NEAR Intents, and related ecosystem keywords. It groups the conversation into sentiment buckets such as bullish, bearish, neutral, meme-driven, builder-focused, and product/news-driven.

Then it checks market context using a crypto data source, summarizes the strongest narratives, and filters out spam, low-quality engagement bait, and repetitive tweets. Based on the user’s profile, tone, past topics, and audience, it generates tweet angles such as market commentary, meme hooks, merch/community posts, Ironclaw updates, and educational threads.

Finally, it gives the user a ready-to-post tweet planner with 5–10 tweet ideas, suggested hooks, hashtags/cashtags, timing notes, and a short explanation of why each idea fits the current sentiment.

Example Prompt

Browse X for the latest $NEAR market sentiment, check what CT is talking about, and give me tweet ideas that match my profile around NEAR, Ironclaw, NEAR Merch, and community culture.