Cómo decía mi abuelito: “no hay peor ciego que el que no quiere ver”.
Activity
Tokens tagged by the author per day over the selected time range. The most mentioned tokens have their own color, the rest add up in Other. A post that tags two tokens counts for both.
MENTIONS
ACTIVITY
TOTAL
Token Mentions
Tokens the author tagged in posts over the selected time range, most mentioned first: posts per token, the share of its classified posts that was bullish and the average engagement score of those posts, with price changes, market cap and volume as in the screener, plus price and sector on wide screens.
| 2 | 1 | 0% | 1.1 | $2,436 | -5.25% | -9.21% | -2.52% | $314B | $931M | Layer 1 | |
| 6 | 1 | 0% | 5 | $1.00 | 0.03% | 0.02% | 0.05% | $74B | $5.1B | Stablecoins |
1–2 of 2 items
Latest Posts
The author's newest posts in the selected time range.
Author Data
The author's audience and activity. Followers change over the selected time range. Posts and Avg Engagement (the average engagement score per post, as in the feed's Engagement Score sort) cover the selected time range. Engagement Rank ranks the authors who posted in the range by average engagement score. All of the author's posts count: the filter chips do not apply here.
Followers 59K +0.54% (30D)
Following 6.4K
Posts (30D) 59
Avg Engagement (30D) 1.4
Engagement Rank #441 of 1125
Sentiment
Share of the author's classified posts that were bullish, neutral and bearish over the selected time range. Posts without a sentiment classification are not counted. All of the author's posts count: the filter chips do not apply here.
Top Post
The author's post with the highest engagement score in the selected time range.
I think one of the main problems with character IP NFTs (PFPs) is that there is not much to do with them other than hold and watch the market. They were real fun when prices were going up, but quite painful and boring the other 90% of the time.
When...
9/30/2026 15:07
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