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Design as a Long-Term Capability: How Geekvape and Geek Bar Drive Systematic Innovation in the Global Design Ecosystem

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China, 4th Feb 2026 – In 2025, Geekvape and Geek Bar achieved a major breakthrough on the global design stage, driven by years of deep investment in design capability and systematic innovation. Together, the two brands won a total of 14 internationally recognized design awards—with Geekvape receiving 10 awards and Geek Bar securing 4—spanning top-tier global design systems such as the German iF Design Award, Red Dot Award, as well as the MUSE Design Awards, International Design Awards (IDA), European Product Design Award, and the Paris Design Awards.

This was not a coincidental “harvest of awards,” but rather the result of long-term design methodologies, organizational capabilities, and systematic user research working in concert.

Multi-System Recognition in Design Awards” 

Multi-System Recognition as Proof of Design Leadership

Design awards have long served as an important external benchmark of brand design capability. Within the industry, most brands’ design honors tend to be concentrated within a single award system—such as the MUSE Awards or the German Red Dot Awards. Brands that achieve recognition simultaneously across multiple design evaluation systems in the United States, Europe, and France remain rare.

Among the award-winning products:

Geekvape Aegis legend 5 received the European Product Design Award – Honorable Mention, seamlessly combining a powerful exterior with professional-grade durability, setting a benchmark for high-end functional product design.

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Warning Statement:This product contains nicotine. Nicotine is an addictive chemical.

Geekvape Wenax M Starter Kit won both the 2025 Red Dot Design Award (Germany) and the European Product Design Award. Its modular design philosophy is deeply integrated with a battery compartment utilizing innovative bio-based materials, achieving a balance between modern aesthetics and material efficiency.

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Warning Statement:This product contains nicotine. Nicotine is an addictive chemical.

 

Geekvape Soul 2 earned the MUSE Design Award, using a minimalist yet tech-forward design language to express a refined aesthetic balance for modern electronic devices.

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Warning Statement:This product contains nicotine. Nicotine is an addictive chemical.

Wenax Q 2 was awarded the International Design Award (IDA) in the United States. Its design is based on clean lines enhanced by an elegant “smile curve,” showcasing refined design craftsmanship.

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Warning Statement:This product contains nicotine. Nicotine is an addictive chemical.

Geek Bar also delivered outstanding results:

Geek Bar spark received the Paris Design Awards Silver (PAR25), combining a compact form, refined appearance, and  responsive interactive design to offer both functionality and visual engagement—redefining the modern vaping experience.

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Warning Statement:This product contains nicotine. Nicotine is an addictive chemical.

Geek Bar Pulse X won the MUSE Design Award, leveraging a dynamic 3D curved display and structural innovation.

Warning Statement:This product contains nicotine. Nicotine is an addictive chemical.

Minimore E-cigarette received the iF Design Award Winner, focusing on the selection and application of eco-conscious  materials. It features a composite shell made from cork sourced from cork oak bark combined with resin, ensuring durability and structural integrity.

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Warning Statement:This product contains nicotine. Nicotine is an addictive chemical.

The Cube Modular E-cigarette also earned the iF Design Award Winner. Centered on “user-friendly” and “resource-conscious” principles, it adopts a magnetic assembly system to enable multifunctional expansion, delivering personalized user experiences while promoting sustainable development.

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Warning Statement:This product contains nicotine. Nicotine is an addictive chemical.

Recognition across multiple design systems signifies that these products are not merely visually appealing, but achieve a mature and stable balance among functionality, user experience, aesthetics, and manufacturability. This is the fundamental reason why Geekvape and Geek Bar continue to earn recognition from international design institutions.

Where Design Leadership Comes From:

High Investment, Early Integration, and User-Centered Design Systems

Within Geekvape and Geek Bar, design is not a downstream decoration added after product development—it is a core driving force embedded throughout the entire process. From the very first day of project initiation, design thinking is deeply involved, defining not only how a product looks, but how it should be experienced.

In the early stages of product planning, design teams invest substantial time and resources in refining creative direction and design language, continuously studying and benchmarking international design trends, and systematically deconstructing real user needs and usage scenarios.

This early-stage, high-investment approach ensures that products are thoroughly refined in terms of experience and aesthetics before entering engineering and mass production—rather than relying on late-stage “patch fixes.”

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Above: brainstorming sessions within the design team.

Inside the Design Department:

A Systematic, User-Experience–Centered Workflow

In practice, the work of the design department is not driven by isolated bursts of inspiration, but by a highly structured, end-to-end process centered on user experience.

1. Forward Collaboration: Extracting Real Needs from Market Noise

Design begins with systematic information input and goal alignment.

At the start of each project, the design team conducts desktop research to analyze industry trends, competitor strategies, and evolving user behaviors, establishing an initial design framework. At the same time, they proactively collaborate with product, marketing, and sales teams to integrate diverse perspectives on user needs and business objectives.

The team also regularly conducts on-site market observations and user interviews to capture authentic usage scenarios and latent pain points. For example, during the design of Geek Bar Pulse X, the team identified strong user demand for visible e-liquid and battery indicators, as well as differentiated flavor experiences. This insight led to the creation of the world’s first vaping device featuring a 3D curved display, inspired by a “cosmic aesthetics” visual motif. Through dynamic visual interaction and selectable flavor modes, device status and inhalation feedback are transformed into intuitive visual language—making each use perceptible and shareable.

2. Creative Exploration and Solution Validation: Finding Optimal Answers Within Constraints

Once design objectives, engineering conditions, and cost boundaries are clarified, the design enters a systematic creative exploration phase.

This stage typically begins with extensive sketching and mood board exploration to quickly define design language and overall character, followed by iterative cycles of “design–validation–optimization.”

Taking Legend 5 as an example, its ID design went through three major iterations before finalization:

Version 1 established the modern rugged design direction, innovative screen interaction, and fundamental form through more than ten sketches and five rounds of modeling.

Version 2, refined through three additional modeling rounds, optimized component proportions and cross-sections for improved grip, refined top and bottom structures, and introduced metal inlays as visual highlights.

Version 3 focused on detailed elements such as the silicone plug, ALOCK switch, and bottom push button, ensuring overall coherence, layering, and refinement.

For CMF design, the team reviewed the evolutionary strengths and weaknesses of the Legend series and drew inspiration from cross-industry icons such as the iconic rugged automotive designs. Anchored in the brand’s positioning, they defined a design strategy centered on “Born Legendary, Pioneer Exploration, Limitless Rise.” Through multiple rounds of directional exploration, prototyping, and process testing, the final solution incorporated tri-material leather panels, multi-layer laser-engraved aluminum alloy, ALOCK mechanisms, and CNC pyramid textures—creating a rugged device with both depth and sophistication.

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Above: design sketches for Legend 5.

Rapid validation is achieved through 3D-printed prototypes within 48 hours to test ergonomics, proportions, and functionality. Once a direction is confirmed, high-fidelity appearance prototypes are produced to precisely evaluate volume, lines, light, shadow, and materials—providing a solid foundation for engineering and supply chain alignment.

Above: comparisons and iterations of 3D-printed prototypes.

3. Backward Collaboration: Bringing Design to Life with R&D and Manufacturing

Once a design direction is finalized, the focus shifts to deep collaboration with R&D, structural engineering, and the supply chain.

Design teams provide clear CMF standards and physical color samples, working closely with suppliers to finalize samples. For instance, achieving the ideal transition between matte leather and polished metal on Wenax Q 2 required more than ten rounds of sampling. For complex surfaces or special structures, the team repeatedly validates mold feasibility and mass-production readiness with engineers, adjusting details down to 0.1 mm to strike the optimal balance between aesthetics, experience, and efficiency.

By integrating the technological sheen of pearlescent films, the warmth of leather, and the precision of metal edging, a clear material hierarchy is established: film for visual impact, leather for tactile comfort, and metal for stability—creating a restrained yet premium overall aesthetic.

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Above: Wenax Q 2 sampling visuals.

4. Product Launch Is Not the End, but the Start of the Next Design Cycle

A complete user feedback loop has been established. After each product launch, design teams systematically collect real-world feedback through sales channels, social media, and user communities. These first-hand insights not only drive rapid optimization of current products, but also serve as core inputs for next-generation innovation—exemplified by the evolution from Legend 3 to Legend 5.

After Legend 3 entered real-world use, user interviews, after-sales data, and cross-team reviews revealed opportunities for further refinement. While widely praised for durability and bold design, some users expressed needs for more intuitive physical controls when outdoors or wearing gloves, improved grip stability and hand comfort during prolonged use, and enhanced readability and visual hierarchy in bright or complex environments.

Rather than treating these as isolated issues, the design team re-evaluated ergonomics, structure, and interaction holistically. In Legend 5, these insights were systematically translated into concrete improvements: subtle refinements to grip curves and structural transitions balanced hand pressure; button placement and tactile feedback were recalibrated for reliable operation across environments; and interface contrast and hierarchy were enhanced while maintaining a professional, restrained visual language. Crucially, these upgrades were validated through multiple rounds of prototyping and real-use testing, ensuring that existing users could intuitively feel the improvements with minimal learning cost.

The evolution from Legend 3 to Legend 5 embodies Geekvape’s consistent design philosophy:listen to users, analyze systematically, and optimize cautiously—changing only what truly enhances the experience. This feedback-driven, long-term approach allows products to grow alongside users, rather than being replaced through superficial iteration.

Design as Long-Termism

The multiple international design awards received in 2025 represent a milestone rather than a finish line. For Geekvape and Geek Bar, design is not a short-term competitive tactic, but a long-term capability requiring sustained investment and continuous validation. Looking ahead, both brands will continue to place user experience at the core, exploring within the global design context and driving the ongoing evolution of product innovation and industry aesthetics.

IMPORTANT NOTICE:

1. Age Restriction: This content is intended solely for adult consumers of legal smoking/vaping age in their respective jurisdictions (21+ in the USA, 18+ in the UK/EU/International).

2. Health Warning: This product contains nicotine. Nicotine is an addictive chemical.

3. Not for Medical Use: The products mentioned are not smoking cessation devices and have not been evaluated by the Food and Drug Administration (FDA) or any other regulatory authority for the treatment or prevention of any disease.

4. Regulatory Compliance: Product availability and specifications may vary by region to comply with local laws (e.g., TPD in Europe, PMTA in the USA). Please refer to the specific packaging and user manual for regional compliance information.

 

Media Contact

Organization: Geekvape

Contact Person: Hillary Jiang

Website: http://www.geekvape.com/

Email: Send Email

Country:China

Release id:41005

The post Design as a Long-Term Capability: How Geekvape and Geek Bar Drive Systematic Innovation in the Global Design Ecosystem appeared first on King Newswire. This content is provided by a third-party source.. King Newswire makes no warranties or representations in connection with it. King Newswire is a press release distribution agency and does not endorse or verify the claims made in this release. If you have any complaints or copyright concerns related to this article, please contact the company listed in the ‘Media Contact’ section

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Press Release

Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents

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British Virgin Islands, BVI, June 2026, ZEX PR WIREDataline, the data infrastructure layer for AI agents operating across crypto and financial markets, recently announced the launch of its Data Launch Partner Program, opening access to an initial cohort of AI systems, trading agents, and data providers building on its unified intelligence layer.  

  

As AI agents increasingly move from chat-based interfaces to autonomous decision-making systems, the need for structured, cross-market, and verifiable financial data has become a foundational bottleneck. Dataline closes this gap by unifying distributed market data into a schema-based layer, with each response carrying an AI-generated confidence score so the agent can judge for itself whether to act on it.  

A Unified Data Layer for Agent Economies

Dataline connects real-time data across major centralised exchanges, decentralised protocols, and prediction markets, including Binance, Coinbase, OKX, Hyperliquid, dYdX, Polymarket, and Kalshi, into a single structured response format.  

Each query is processed through a cross-venue normalisation system that aggregates pricing, funding rates, liquidity conditions, and event-based signals into confidence-scored outputs with source-level traceability and freshness indicators. 

This allows AI agents to operate on consistent, verified inputs rather than fragmented or venue-specific APIs.  

From Data Access to Decision Infrastructure

The evolution of AI agents has shifted the industry focus away from blind execution and toward interpretation.  

Dataline’s system is designed to solve this by providing the following:  

  • Cross-venue data normalization across trading and prediction markets

  • Confidence-scored outputs with divergence detection between sources

  • Structured responses optimized for planner–executor–verifier agent loops

  • Real-time aggregation of market signals and event data

Already Powering Live Agent Systems

Dataline is already deployed in production environments, supporting over 19.4 million on-chain transactions across the Base, BNB Chain, Sui, and the TON ecosystem.  

Agent systems built on top of Dataline — including ChatPilot, GhostDriver, and FlowAgent — are actively using its structured data layer for live trading, signal processing, and autonomous execution workflows.

Launch Partners Across AI and Execution Layers

The initial Data Launch cohort includes partnerships with AI agent frameworks and execution infrastructure providers such as Sentient, Kite AI, B3, Fraction AI, and Sahara AI.  

These integrations reflect a growing ecosystem where AI agents not only interpret financial data but also execute transactions across programmable settlement layers in real time.  

Exclusive Offer for Base Builders

To support the growing community of builders on Base, Dataline is offering six months of free data feeds to qualifying Base projects. Teams building on Base can claim the offer by reaching out to @datalineai on X and introducing their project.  

Accelerating the Shift Toward Agent-Native Financial Infrastructure

As AI systems become embedded in financial decision-making, industry infrastructure is shifting from API-centric models toward schema-based intelligence layers capable of unifying siloed markets.  

As part of this transition, Dataline enables agents to operate across fragmented environments through a unified execution layer, without requiring venue-specific logic or manual reconciliation.  

Become a Dataline Launch Partner

Dataline is expanding its Data Launch Partner cohort. Projects interested in integrating Dataline’s data layer or joining the program can reach out to @datalineai on X to start the conversation.  

About Author

Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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Press Release

Dataline Launches Data Launch Partner Program to Power the Next Generation of AI Trading and Onchain Agents

Published

on

British Virgin Islands, BVI, June 2026, ZEX PR WIREDataline, the data infrastructure layer for AI agents operating across crypto and financial markets, recently announced the launch of its Data Launch Partner Program, opening access to an initial cohort of AI systems, trading agents, and data providers building on its unified intelligence layer.  

  

As AI agents increasingly move from chat-based interfaces to autonomous decision-making systems, the need for structured, cross-market, and verifiable financial data has become a foundational bottleneck. Dataline closes this gap by unifying distributed market data into a schema-based layer, with each response carrying an AI-generated confidence score so the agent can judge for itself whether to act on it.  

A Unified Data Layer for Agent Economies

Dataline connects real-time data across major centralised exchanges, decentralised protocols, and prediction markets, including Binance, Coinbase, OKX, Hyperliquid, dYdX, Polymarket, and Kalshi, into a single structured response format.  

Each query is processed through a cross-venue normalisation system that aggregates pricing, funding rates, liquidity conditions, and event-based signals into confidence-scored outputs with source-level traceability and freshness indicators. 

This allows AI agents to operate on consistent, verified inputs rather than fragmented or venue-specific APIs.  

From Data Access to Decision Infrastructure

The evolution of AI agents has shifted the industry focus away from blind execution and toward interpretation.  

Dataline’s system is designed to solve this by providing the following:  

  • Cross-venue data normalization across trading and prediction markets

  • Confidence-scored outputs with divergence detection between sources

  • Structured responses optimized for planner–executor–verifier agent loops

  • Real-time aggregation of market signals and event data

Already Powering Live Agent Systems

Dataline is already deployed in production environments, supporting over 19.4 million on-chain transactions across the Base, BNB Chain, Sui, and the TON ecosystem.  

Agent systems built on top of Dataline — including ChatPilot, GhostDriver, and FlowAgent — are actively using its structured data layer for live trading, signal processing, and autonomous execution workflows.

Launch Partners Across AI and Execution Layers

The initial Data Launch cohort includes partnerships with AI agent frameworks and execution infrastructure providers such as Sentient, Kite AI, B3, Fraction AI, and Sahara AI.  

These integrations reflect a growing ecosystem where AI agents not only interpret financial data but also execute transactions across programmable settlement layers in real time.  

Exclusive Offer for Base Builders

To support the growing community of builders on Base, Dataline is offering six months of free data feeds to qualifying Base projects. Teams building on Base can claim the offer by reaching out to @datalineai on X and introducing their project.  

Accelerating the Shift Toward Agent-Native Financial Infrastructure

As AI systems become embedded in financial decision-making, industry infrastructure is shifting from API-centric models toward schema-based intelligence layers capable of unifying siloed markets.  

As part of this transition, Dataline enables agents to operate across fragmented environments through a unified execution layer, without requiring venue-specific logic or manual reconciliation.  

Become a Dataline Launch Partner

Dataline is expanding its Data Launch Partner cohort. Projects interested in integrating Dataline’s data layer or joining the program can reach out to @datalineai on X to start the conversation.  

About Author

Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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Press Release

Request Network Introduces One-Click Cross-Chain Mass Payouts and Expands Wallet Screening With Merkle Science

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Zug, Switzerland, June 25th, 2026, Chainwire

Anyone can now execute mass payouts across EVM chains and Tron from a single platform and can choose between multiple wallet screening providers.

Just three weeks after releasing major upgrades for crypto payment collection, the Request Network Foundation today announced another expansion of its stablecoin payment platform. The release introduces one-click mass payouts on both EVM and Tron, alongside built-in bridging and token swapping across EVM chains. The update also expands compliance capabilities through the integration of Merkle Science as an additional wallet screening provider.

Together, these capabilities reinforce Request Network’s vision of providing businesses with a simpler, more scalable, and more resilient way to operate stablecoin payments globally.

Users Can Now Disburse at Scale in One Click From a Single Wallet Without Bridging or Swapping

Stablecoins are already widely used to disburse salaries, commissions, affiliate rewards, bug bounties, supplier payments, and customer refunds or withdrawals across the world. While settlements are now faster and cheaper in stablecoins compared to fiat, the operational processes needed to send funds remain complex as recipients usually require payments on multiple chains and in multiple currencies. This has forced finance teams to initiate multiple transactions in separate currencies and from multiple wallets.

Request Network now abstracts away this fragmentation, allowing anyone to initiate mass payouts from a single wallet in a single currency to pay recipients across the top 6 EVM chains (Ethereum, Base, Arbitrum, Optimism, Polygon, and BNB Chain) in USDC and USDT.

Through a single signature, a mass payout can now be initiated even if the individual transactions need to be bridged and swapped to reach their recipient. Request Network protocol automatically retrieves and batches bridge and swap quotes in order to funnel every payment of a batch to its correct destination in just one approval.

To simplify the process further, Request Network also allows any recipient to set and update their payment preferences so payments are always routed to where they should go.

This represents one of the biggest breakthroughs in cross-chain and swapping abstraction, bringing payers and recipients closer than ever before, regardless of the blockchain or currency they trust.

Mass Payouts Now Available on Tron

Alongside EVM mass payouts, Request Network also announced the support of mass payouts on Tron, becoming the first protocol to combine both capabilities.

Thanks to this release, anyone can now send USDT to multiple recipients on Tron in a single transaction, unlocking large-scale payouts on one of the most used chains in Asia, Africa, Eastern Europe, and Latin America.

With this release, anyone can now manage all stablecoin payouts globally from the Request Network protocol.

More Choice for Wallet Screening

Alongside mass payouts, Request Network also announced a partnership with Merkle Science to offer additional wallet screening providers on the protocol.

As a reminder, Request Network offers built-in wallet screening to protect its users from high-risk wallet interactions. When enabled, this feature allows payments to be executed only if the payer or recipient satisfies the preset screening policies, helping businesses to avoid exposure to high-risk wallets which may lead to asset freezing or difficulties off-ramping to fiat.

By expanding its integration of Merkle Science, Request Network just became one of the safest ways to receive crypto onchain, while accommodating for recipients’ preferences.

Tristan Wallaert, CEO of the Request Network Foundation, said: “Stablecoins allowed money to move globally without the usual fiat constraints, but executing payments at scale remains a bottleneck and is forcing users to rely on payment service providers. Anyone should be able to pay by himself hundreds of payments across chains in just a single operation.High risk wallets exposure has tarnished the crypto reputation recently, if we want to provide the best protection to blockchain users they need to be able to use the best screening providers. Sending and receiving payments must become intuitive and safe if we want stablecoins to be a real alternative to fiat.”

Mriganka Pattnaik, CEO of Merkle Science, said: “As stablecoin payments become more global and cross-chain, compliance needs to become just as seamless as the payment experience itself. Our integration with Request Network helps businesses screen wallets with greater confidence, reduce exposure to high-risk activity, and scale onchain payments without compromising trust or operational efficiency”.

About Request Network

Since 2017, Request Network has developed, educated about, and promoted the use of open-source, decentralized and permissionless protocols that provide infrastructure for on-chain payments and related financial flows.

Request Network allows anyone to send and receive crypto at scale, across chains, without custodial intermediaries. The protocol is developed by a community-funded foundation whose mission is to make crypto payments accessible while protecting its participants.

To date, more than $2 billion has moved thanks to Request Network technology.

Press kit

About Merkle Science

Merkle Science provides blockchain analytics and crypto compliance solutions that help businesses detect, investigate, and prevent financial crime across digital assets. Its platform supports wallet screening, transaction monitoring, risk intelligence, and investigations, enabling crypto platforms, financial institutions, and payment providers to manage onchain risk and meet compliance requirements at scale.

Contacts

CEO
Tristan Wallaert
Request Network Foundation
press@request.network
Director of Business Operations
Álvaro García
alvaro.garcia@merklescience.com

About Author

Disclaimer: The views, suggestions, and opinions expressed here are the sole responsibility of the experts. No Digi Observer journalist was involved in the writing and production of this article.

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