*Data last updated: 2026-04-24 00:37 (UTC+8)
As of 2026-04-24 00:37, Atlassian (TEAM) is priced at $68,75, with a total market cap of $19,47B, a P/E ratio of -207,12, and a dividend yield of %0,00. Today, the stock price fluctuated between $65,20 and $70,70. The current price is %5,44 above the day's low and %2,75 below the day's high, with a trading volume of 7,22M. Over the past 52 weeks, TEAM has traded between $56,01 to $242,00, and the current price is -%71,59 away from the 52-week high.
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Gate Learn Articles
Governance Scandal Rocks Across: $23M Misused and Votes Manipulated by the Team?
The founder of Glue publicly accused the cross-chain bridge protocol Across team of manipulating DAO votes and misappropriating $23 million, raising widespread concerns about the transparency of decentralized governance mechanisms and the centralization of power.
2025-07-02
Pi Price Prediction: Stabilizing Above $0.40, How the Core Team Maintains the Bottom Line
The price of the Pi Network recently fell from $2.79 to about $0.49, but due to the core team controlling 90% of the supply and adjusting the unlocking progress, the price has stabilized above $0.40. Analysis of future market trends.
2025-07-08
In-depth analysis of Trump team's decentralized lending project WLF: Token allocation and fundraising methods
As the latest exploration of Trump's team in the cryptocurrency field, WLF aims to leverage blockchain technology to provide users with decentralized lending services. The core of the project is the governance token WLFI, which operates on the Ethereum blockchain and is managed and operated in a decentralized manner.
2024-09-30
Blogs
Why Has Flow (FLOW) Entered a Prolonged Price Slump? Unpacking the Decline of a Once-Star Public Blockchain
An analysis of Flow (FLOW)’s shift from a leading blockchain to low-level consolidation, focusing on NFT demand decline, ecosystem transition, and structural price dynamics.
2026-04-23
Ethereum On-Chain Structure Analysis: Whale Activity and Portfolio Divergence Signals
Ethereum price triggers another bearish divergence warning after a 9% weekly decline. Drawing on Gate market data and on-chain analytics, this article breaks down changes in whale holdings, shifts in funding rates, and identifies key cost support zones.
2026-04-23
PENGU Surges Past Long-Term Downtrend: Analyzing Market Structure Reversal and Trend Confirmation
Pudgy Penguins (PENGU) broke above its long-term downtrend line this week for the first time since July 2025. The daily RSI also broke out simultaneously, and trading volume surged significantly.
2026-04-23
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Atlassian (TEAM) Latest News
MetaMask Co-founder Dan Finlay Departs Consensys After 10 Years, Cites Burnout
Gate News message, April 23 — Dan Finlay, co-founder and longtime developer of MetaMask, announced Wednesday that he is departing Consensys, citing burnout after a decade building the crypto wallet. Finlay said he plans to spend time with his family and wished the team well on their future path. MetaMask was created in 2016 by Finlay and Aaron Davis as an Ethereum-based crypto wallet accessible via desktop browsers and mobile devices. The platform has since expanded to non-EVM-compatible networks including Bitcoin and Tron, integrated prediction markets and tokenized stocks, and launched a payment card through a partnership with Mastercard that offers cashback rewards in mUSD stablecoin. In a follow-up post, Finlay highlighted the launch of Advanced Permissions (ERC-7715), a feature allowing dApps to request fine-grained permissions from users to execute transactions on their behalf without requiring approval for every transaction. For example, a user can grant a dApp permission to spend 10 USDC per day to purchase ETH over the course of a month, after which the dApp can execute these transactions directly. Tornado Cash co-founder Roman Storm commented that this feature is "extremely important," noting that crypto can now offer recurring payment systems comparable to Visa and Mastercard.
2026-04-23 09:45DeepSeek Open-Sources TileKernels, GPU Kernel Library for Large Model Training and Inference
Gate News message, April 23 — DeepSeek has open-sourced TileKernels under the MIT license, a GPU kernel library written in TileLang for large language model training and inference. TileLang is a domain-specific language developed by the tile-ai team for expressing high-performance GPU kernels in Python. DeepSeek stated that most kernels in the library have approached hardware performance limits in compute density and memory bandwidth, with portions already deployed in internal training and inference operations. The library comprises six categories of kernels: MoE (mixture of experts) gating and routing, including Top-k expert selection, token-to-expert mapping, and fused expand/shrink with weight normalization; quantization supporting FP8, FP4, and E5M6 formats with per-token, per-block, and per-channel quantization, including fused SwiGLU+quantization operations; batch transpose; Engram gating with fused RMSNorm forward/backward propagation and weight gradient reduction; Manifold HyperConnection with Sinkhorn normalization and mixed split/apply; and high-level autograd interfaces that wrap low-level kernels into trainable layers. Engram and Manifold HyperConnection are proprietary components of DeepSeek's model architecture, with implementation details disclosed publicly for the first time. The library requires NVIDIA SM90 or SM100 architecture GPUs (H100/H200 or Blackwell series), CUDA Toolkit 13.1 or higher, and PyTorch 2.10 or higher.
2026-04-23 07:26Former OpenAI Codex Engineer Launches Blackstar, Raises $12M in Seed Funding Led by Abstract
Gate News message, April 23 — Daniel Edrisian, a former engineer from OpenAI's Codex team, has announced the launch of Blackstar Computers, an AI hardware company that has completed a $12 million seed funding round. Abstract led the round, with participation from SV Angel, Naval Ravikant, Chapter One, and Timeless. Blackstar is positioned as a new computing device designed to reshape the user experience across hardware, software, and interaction layers. Edrisian noted that software development has reached maturity, and further advancement in human-AI interaction requires innovation at the operating system level. The company currently has approximately 8 team members based in San Francisco and Shenzhen. No public product has been launched to date.
2026-04-23 06:25ByteDance Seed Team Releases Seed3D 2.0 with Enhanced Geometric Precision and Material Generation
Gate News message, April 23 — ByteDance's Seed team released Seed3D 2.0, a text-to-3D model that generates textured 3D assets from a single image. The upgrade focuses on geometric precision and material realism, with the API now available on Volcano Ark. Geometric generation employs a Coarse-to-Fine two-stage strategy: a large-parameter DiT model first establishes coarse-grained topology, then recovers sharp edges and fine surfaces. Material generation uses a Mixture of Experts (MoE) architecture to enhance high-resolution details, incorporating Vision Language Model (VLM) priors to improve material decomposition stability under unknown lighting conditions, outputting complete PBR maps compatible with standard rendering pipelines. Sixty evaluators with 3D modeling experience conducted blind comparisons across approximately 200 test cases, comparing Seed3D 2.0 against Hunyuan3D-2.5/3.1, Tripo 3.0, Rodin Gen2, HiTem v2.0, and the previous Seed3D 1.0. Geometric generation preference rates ranged from 65.1% to 98.3%, while textured 3D asset preference rates exceeded 69% across all comparisons. For downstream applications, Seed3D 2.0 can decompose 3D assets into independent components with joint information, outputting URDF format compatible with Isaac Sim and other simulation engines for dynamic interaction scenarios like robotic grasping. At the scene level, it supports text, multi-view image, or video input, combining multiple assets to generate complete scenes.
2026-04-23 05:28Google Jules Rebrands as End-to-End Agentic Product Development Platform, Opens Waitlist for New Version
Gate News message, April 23 — Google's Jules team announced the opening of a waitlist for a new version of the product, repositioning Jules from an asynchronous coding agent to an end-to-end agentic product development platform. According to the official description, the upgraded platform reads entire product context, determines what should be built next, proposes solutions, and submits pull requests. The previous version operated as a GitHub-integrated asynchronous coding agent that executed specific tasks assigned by users and submitted code in the background. The new version marks a significant shift: instead of merely executing given tasks, the agent now proactively understands the product landscape and autonomously decides what to build.
