
Monad’s mainnet went live on November 24, and the shift from development to production lined up with a clear jump in social activity.
LunarCrush readings showed AltRank in the top ten, a Galaxy Score near the mid-50s, and roughly 31.97k mentions that drove about 17.62 million engagements, or about 551 interactions per post. The first trading windows after launch also brought venue notices and integration posts that gave accounts concrete updates to share.
Source: LunarCrush.com
Official Monad channels confirmed mainnet activation and pointed users to canonical materials for builders and validators. Those posts anchored the discussion and helped keep engagement tied to verifiable updates rather than rumors.
According to CoinMarketCap, MON is currently trading near $0.046, up by 60% since its launch date. The market cap is around $500 million.
Influential accounts amplified the timeline, pointing to the first sessions of trading and early liquidity. Price commentary clustered around the same windows as the launch confirmations, which often produces synchronized bursts in mentions and reposts when feeds are watching the same milestones.
LunarCrush’s composite score held in a middle range even as raw engagement surged, a pattern that often appears when participation widens faster than conviction and when price discovery continues across venues and time zones.
On November 25, Monad announced that MON can be deposited and swapped in Telegram, which places the token inside a large messaging surface with embedded wallets.
Polymarket support for MON and USDC on Monad added a second reference point that touches market structure and settlement, giving traders and developers practical endpoints to test.
Each confirmation creates artifacts that users can check directly and positively influences the social media presence. Wallet prompts, contract addresses, and venue dashboards give researchers and retail a common frame, which sustains conversation beyond a single headline.
Next steps for durable interest typically involve visible depth on major pairs, steady spreads during busy hours, and recurring posts from infrastructure partners. When those pieces arrive in sequence, engagement tends to settle into a higher baseline rather than spiking and fading.
Across the first days, the strongest social curves tracked official statements and live integrations rather than speculative timelines. That balance supports cleaner follow-through because posts remain anchored to links, documentation, and working routes for transfers.
If additional endpoints roll out on a predictable cadence, social measures and developer activity usually keep pace without requiring fresh catalysts each session.
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