The cryptocurrency presale landscape in early 2026 is seeing a new contender, LivLive ($LIVE), gain significant attention by raising over $2.2 million from more than 390 holders. The project, which positions itself as a real-world operating system, is conducting its Stage 1 presale at $0.02 per token with a confirmed launch price target of $0.25.
LivLive's core model is built on converting everyday human activities into on-chain value. Actions such as walking, visiting locations, checking in at venues, or submitting verified reviews are transformed into $LIVE tokens and experience points. This "proof-of-action" system uses GPS data, AR overlays, and wearable-linked verification to ensure rewards are tied to real engagement, aiming to create sustainable usage over passive accumulation.
The platform features a city-based augmented reality (AR) game layer where participants complete quests, respond to flash drop alerts, and climb leaderboards to unlock multipliers, NFTs, and real-world perks. AI-powered personalization tailors challenges to individual user habits.
A major driver for the presale's early traction is the active "BONUS200" promotion. Applying this code at checkout provides a 200% bonus on token purchases, effectively tripling the allocation for early participants. The project's tokenomics allocate 65% of the supply directly to the community through presale, mining, and quests.
In contrast, the news provides analysis on two established networks. Toncoin (TON) is noted as trading near $1.53, following a breakdown from the $1.70–$1.75 range, with near-term resistance seen at $1.60–$1.67. Polkadot (DOT) is trading around $1.93, with a tempered one-year outlook projecting a recovery within a $2.00 to $2.40 range, dependent on broader market sentiment improvement.
The article concludes by positioning LivLive's immediate utility and behavior-driven design as a differentiating factor against recovery-focused assets like TON and longer-term infrastructure plays like DOT, highlighting the presale's timing advantage and built-in referral and reward mechanics.
