Everlyn (LYN)

Overview

Everlyn (LYN) market snapshot: Price $0.040773, market capitalization $8.52M, and reported 24-hour volume $548.01K.

Trading activity: Reported 24-hour volume equals 6.43% of market capitalization. The local markets snapshot lists BitMart, MEXC and KuCoin among venues with observed trading activity.

YearBull indicators: YearBull Rank #1,089. Bull Score 61/100. YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment. Cycle Early. Observed price change: 24h 0.24% · 7d 25.81% · 30d 26.45%.

Values are descriptive and should be read together rather than as a price forecast. Read the YearBull methodology. Snapshot date: 2026-09-23. Data history: 90 days available in the latest 90-day window.

Methodology responsibility: YearBull’s analytical methodology and presentation rules are developed and maintained by Alan Zelvin, Founder & Lead Crypto Researcher. This note identifies responsibility for the methodology; it does not attribute authorship of this data snapshot.

What is Everlyn (LYN)?

Source description

“Lyn is the first open-source foundational video model and super-agential multimodal ecosystem that was designed to deliver an open dream machine to the world. Lyn’s flagship open-source model, Everlyn-1, is reshaping the capabilities of video artificial intelligence in terms of output duration, interact-ability, generation latency, and hyper-realistic visual quality. Lyn's video creation engine and platform, Everworld, is revolutionizing how human beings engage with photorealistic virtual representations of themselves through personalized and interactive video agents capable of performing any task. Together, Everlyn-1 and Everworld will profoundly alter what humans can achieve online, taking over tasks and activities that individuals alone either prefer not to do or are unable to do. Lyn was founded by a team of leading experts in generative AI, including professors from Cornell University, Oxford University, Stanford University, University of Central Florida (UCF), Hong Kong University of Science and Technology (HKUST), Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), and Peking University (PKU), as well as former leaders from Meta, Deepmind, Microsoft, Google, and Tencent, and current PhD students in generative AI. The Lyn team consists of prominent figures in AI research who have played a pivotal role in some of the industry’s most significant innovations, including Google's foundational video model, Video Poet, Facebook’s foundational video model, Make-a-Video, Tencent's foundational video model, Meta Movie Gen's most cited benchmark model, Seeing and Hearing, the industry's top open-source video model 'Open-Sora-Plan', and OpenAI’s first real-time end-to-end humanoid agent video model, Body of Her.”

This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.

Everlyn (LYN) project facts

Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.

Everlyn (LYN) FAQ

How does Everlyn-1 aim to advance open video artificial intelligence?

The project presents Everlyn-1 as an open-source foundational video model focused on longer output duration, interactive behavior, faster creation, and more photorealistic visual quality. These are stated project goals and positioning rather than independently established conclusions. The model is described as the core technology behind Lyn’s broader multimodal ecosystem.

What role does Everworld play in Lyn’s ecosystem?

Everworld is described as Lyn’s video creation engine and platform. The project says it enables personalized, interactive video agents representing users in photorealistic virtual form. Lyn positions these agents as capable of handling online tasks and activities that people may prefer not to perform themselves or may be unable to complete alone.

How are personalized video agents intended to interact with users?

Lyn says its video agents are designed to be both personalized and interactive, using photorealistic virtual representations of individuals. The stated aim is to let people engage with online activities through an agent that can act on their behalf. The project does not specify the exact interaction methods, supported tasks, or operating requirements.

Why does Lyn emphasize an open-source approach to video models?

The project characterizes Lyn as an open ecosystem and describes Everlyn-1 as open source. This positioning suggests an emphasis on broader access to the model and its development environment, although the project does not specify the applicable license, contribution process, permitted commercial uses, or which model components are available to the public.

Which AI research backgrounds does the Lyn project highlight?

Lyn says its contributors include professors and researchers associated with Cornell, Oxford, Stanford, UCF, HKUST, MBZUAI, and Peking University, along with former personnel from Meta, DeepMind, Microsoft, Google, and Tencent. It also links the team to several notable video and agent-model projects, but these affiliations and contributions are presented as project claims.

Everlyn metric comparison

257 daily observations are available from 2025-12-30 through 2026-09-17. Percentiles compare the latest value with the same-day analytical universe; a higher percentile means a larger observed value, not necessarily a better investment characteristic.

MetricCurrent30d ago90d agoChange vs 30dUniverse percentile
Price$0.0336$0.0349$0.0358-3.8%n/a
Market cap$7.02M$7.29M$7.49M-3.8%P83.8
YearBull Rank#5,032#3,035#1,968Lower by 1,997P45.5
Bull Score25/10041/10048/100-16.0 ptsP16.5
Turnover4.10%2.80%15.24%+1.3 ptsP72.8
YB RiskLowLowLowUnchangedn/a
CycleEarlyEarlyEarlyUnchangedn/a

Median absolute daily movement 3.17%; distance from the highest local daily price -90.5%; circulating supply change 0.0%. These measurements are descriptive and do not predict future direction.

YearBull Rank context

Current YearBull Rank for everlyn: #1089.

Rank timeline (last 365 days)

Rank movement (nearest daily data).

Reading rule: a smaller rank number indicates stronger placement.

  • 7d window (2026-09-16): #5122 → #1089 (up by 4033).
  • 30d window (2026-08-24): #5185 → #1089 (up by 4096).

YearBull Rank is a comparative index on YearBull that helps contextualize a coin’s position versus others over time. Treat it as a directional context tool rather than a standalone verdict.

Regime context: If the line stair-steps, the cycle may be driven by discrete inputs. cycle shifts often show up as slope changes, not spikes.

Trading footprint: If rank deteriorates while the curve stays smooth, it can be cohort strength shifting. consolidation can make rank more stable.

Flow context: If the line improves during quiet periods, it can be accumulation. rank can move when liquidity redistributes across the cohort.

Risk posture: If the curve is step-like, it may be reacting to discrete inputs. ranking moves can reflect regime shifts rather than one-off events.

Editorial note: This analysis was prepared by the YearBull research team under the direction of Alan Zelvin, Founder and Lead Crypto Researcher. The assessment follows YearBull’s internal research methodology and editorial standards. Methodology · Editorial Policy
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Everlyn (LYN) Markets

Stored venue snapshot. Markets last checked: 2026-07-26. Next refresh window: around 2026-10-24. Venue listings and volumes are stored snapshots, not live quotes.
Exchange Top Pair Stored 24h volume (snapshot) Trust Rank
BitMart LYN/USDT $586.90K #92
MEXC LYN/USDT $107.68K #8
KuCoin LYN/USDT $86.40K #12
Toobit LYN/USDT $66.23K #23
KCEX LYN/USDT $38.52K #50
BingX LYN/USDT $27.95K #21
Uniswap V3 (BSC) LYN/BSC-USD $22.29K #189
Ourbit LYN/USDT $18.04K #18
BitKan LYN/USDT $15.40K #46
Pancakeswap Infinity CLMM (BSC) LYN/USDC $1.44K #186

Listings are ordered by reported snapshot volume. Trust Rank is an external venue-quality indicator; it is not an endorsement or a solvency guarantee.