The newest statistics from Phoenix Group and LunarCrush reveal the checklist of prime AI crypto tasks primarily based on mentions and publish engagement over social media platforms. The rankings inside a single day put TAO on the forefront, gaining 5.9K engaged posts and a pair of.5 million interactions.
TOP #AI PROJECTS BY SOCIAL ACTIVITY$TAO $FET $INJ $RENDER $AIXBT $VRA $NEAR $ROSE $QUBIC $PAAL pic.twitter.com/exh9yDE2VS
— PHOENIX – Crypto Information & Analytics (@pnxgrp) January 29, 2025
Different tasks embrace $FET and $INJ with 5.3K engaged posts and 4.9k however various in interactions. $FET recorded 1.2 million interactions, and $INJ recorded 1.0 million interactions. Subsequent got here $RENDER and $AIXBT with 4.0K and three.3K engaged posts and 1.2M and 1.0 Interplay respectively.
$VRA, $NEAR, and $ROSE Amongst Noteworthy AI Tokens
$VRA and $NEAR took the next positions within the rankings with 3.4K and three.0K engaged posts in the neighborhood. The social interactions for these tasks had been 841.5K and 854.1K respectively. The $ROSE token, which is powered by synthetic intelligence, had 2.8K posts with 509.4K interactions which demonstrates persevering with curiosity in its progress.
$QUBIC and $PAAL adopted the checklist with 1.9k engaged posts, with whole interplay charges above 500k and 415.5k, respectively. These numbers present that even comparatively tiny AI ventures proceed to be socially engaged, thus bolstering the growth of AI blockchain programs.
Social Engagement Indicators Market Curiosity
The excessive site visitors ranges on AI-related cryptocurrencies point out that extra persons are within the sector. The tasks talked about above are being posted on totally different social media platforms the place they obtain likes, feedback, shares, and retweets. These metrics give an image of how AI-integrated blockchain tasks are being acquired within the crypto area.
As AI utilization continues to develop these tasks could turn into a significant component within the improvement of AI functions primarily based on the blockchain. The rankings reveal that neighborhood engagement continues to be a key metric in monitoring the rising recognition of AI-based cryptocurrencies.
