Blockchain

Forgd is Reinventing Web3 Advisory with Free Tools for Tokenomics Design, Liquidity Monitoring, and Token Cap Table Management

New York, NY, September 3rd, 2024, Chainwire

Forgd, a token advisory and optimization platform, announced the launch of its free-to-use web platform, which provides blockchain projects unrestricted access to tools for tokenomics design, liquidity monitoring, cap table management, and financial planning. Forgd eliminates financial barriers associated with traditional Web3 Advisory and consolidates an otherwise fragmented services industry built to support blockchain projects as they issue a token.

A token launch involves complex challenges, prompting many blockchain projects to hire multiple external advisors for tasks like tokenomics modeling, market maker engagement, and exchange listing. These engagements can be costly and often lead to operational inefficiencies, given that few advisors operate an end-to-end process. Forgd addresses these challenges with free software tools for executing all vital go-to-market activities and optimizing token performance post-launch. This “self-service” approach to Web3 advisory allows teams to execute at their own pace.

“Many of the tasks involved in a token launch are outside the expertise of a typical tech founder, which is why we created a set of tools to streamline and simplify the process in an end-to-end application,” said Shane Molidor, CEO and Founder of Forgd. “Forgd was built in response to the recurring needs of founders we’ve observed in Web3. Our DIY software tools not only reduce costs but also allow teams to concentrate on product innovation rather than specialized capital market activities.”

Shane Molidor is a 10-year cryptocurrency veteran who formerly operated as CEO of AscendEX, Head of Trading at FBG Capital, and Business Development Associate at Gemini. Forgd recently enhanced its capabilities by acquiring Tokenomics DAO, a research institution focused on tokenomics and novel protocol design. 

For blockchain projects that haven’t yet launched their token, Forgd helps them design tokenomics, conduct cash flow analysis & prepare for fundraising, secure partnerships with market makers & exchanges, and navigate administrative tasks such as offshore company formation. For projects with a live token, Forgd provides tools for monitoring market maker performance & token unlocks, automated token streaming, and even non-custodial liquidity provision.

In a strategic move, Forgd has aligned with the Solana Foundation to provide select tools exclusively for projects built on the Solana blockchain. This collaboration underscores the Forgd commitment to supporting scalable blockchain ecosystems and fostering project growth.

“We are thrilled to collaborate with the Solana Foundation to offer our tools to Solana’s vibrant developer ecosystem,” said Florian Strauf, CTO of Forgd and Founder of Tokenomics DAO. “This strategic alignment highlights our dedication to creating public goods to support blockchain entrepreneurs, and we look forward to partnering with other blockchain base layers to create comprehensive cross-chain support.”

Forgd reports that over 250 projects have already benefited from using its pioneering tools, such as “AMM²”, a non-custodial market making protocol that empowers projects to act as their liquidity provider across all major exchanges with automated rebalancing.

“The positive response since our private beta launch in Q1’24 has been overwhelming,” commented Shane Molidor. “Our team is motivated to continue innovating and developing new tools to empower Web3 entrepreneurs aiming to launch and scale projects of their own.”

For more information about Forgd and its services, users can visit Forgd.com.

About Forgd:

Forgd is a token advisory and optimization platform with free software tools for blockchain founders to launch and scale their projects.

Operating as a public good, Forgd is reinventing Web3 advisory by providing blockchain projects free access to specialized capital markets tools such as tokenomics modeling, liquidity monitoring, cap table management, exchange listing, and financial planning. In addition to its self-service software tools, Forgd offers tailored consulting services for teams seeking extra guidance. This approach allows Forgd to service a broad spectrum of blockchain projects ranging from DIY enthusiasts to those who prefer white-glove support, ensuring accessibility and expert assistance are readily available.

www.x.com/forgd_

Contact

Marketing
Dan Mulligan
Forgd
dan@forgd.com

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Asia-Pacific Artificial Intelligence (AI) Chipsets Market 2024-2031: Identify and Capitalize on the Countries Showcasing the Highest Growth Potential

2024-09-18T08:30:44Z

Dublin, Sept. 18, 2024 (GLOBE NEWSWIRE) -- The "Asia-Pacific Artificial Intelligence (AI) Chipsets Market Size, Share & Trends Analysis, 2024-2031" report has been added to ResearchAndMarkets.com's offering.

The Asia Pacific Artificial Intelligence (AI) Chipsets Market should witness market growth of 30.3% CAGR during the forecast period, 2024-2031.

The China market dominated the Asia Pacific Artificial Intelligence (AI) Chipsets Market by country in 2023, and should continue to be a dominant market till 2031; thereby, achieving a market value of $21.51 billion by 2031. The Japanese market is registering a CAGR of 29.7% during 2024-2031. Additionally, the Indian market should showcase a CAGR of 31.2% during 2024-2031.

The adoption of AI chipsets is rapidly increasing across various industries and sectors due to their ability to accelerate AI tasks, enhance performance, and enable intelligent applications. Businesses increasingly leverage AI-driven solutions to gain insights from data, automate processes, improve decision-making, and enhance customer experiences. AI chipsets facilitate the execution of complex AI algorithms and machine learning models, driving applications like NLP, computer vision, predictive analytics, and autonomous systems.

Moreover, the continuous advancements in AI algorithms, deep learning models, and neural network architectures drive the need for high-performance hardware solutions capable of handling massive datasets and complex computations. AI chipsets provide the computational power and efficiency to effectively train and deploy AI models. The proliferation of edge computing architectures, wherein AI processing tasks are performed locally on edge devices, drives the adoption of AI chipsets with edge computing capabilities.

The fintech industry in India has experienced rapid growth driven by increasing smartphone penetration, digital payment adoption, and government initiatives promoting financial inclusion. The Fintech business in India is expanding at one of the quickest rates in the world, according to the National Investment Promotion and Facilitation Agency. The market for fintech in India is expected to reach $150 billion by 2025, from $50 billion in 2021. By 2030, the fintech business is expected to generate $2.1 trillion in opportunity. In 2022, fintech startups in India raised $5.65 billion. Between 2021 and 2022, the number of distinct institutional investors in Indian fintech nearly doubled, from 535 to 1019, respectively.

Additionally, as businesses and government agencies in Australia invest in AI technologies to drive innovation and efficiency, there is a growing demand for AI chipsets to power AI-driven applications and services. According to the Australian Government, digital innovations, including AI, could contribute $315 billion to Australia's GDP by 2030. Australian spending on AI systems will grow to over $3.6 billion by 2025, at a compounding annual growth rate of 24.4% between 2020 and 2025. Therefore, the rising fintech industry and increasing expenditure on AI technology in the region drive the market's growth.

List of Key Companies Profiled

  • Intel Corporation
  • NVIDIA Corporation
  • IBM Corporation
  • Micron Technology, Inc.
  • Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • Samsung Electronics Co. Ltd. (Samsung Group)
  • Apple, Inc.
  • Huawei Technologies Co. Ltd. (Huawei Investment & Holding Co. Ltd.)
  • Texas Instruments, Inc.
  • NXP Semiconductors N.V.

Market Segmentation

By Computing Technology

  • Cloud Computing
  • Edge Computing

By Function

  • Inference
  • Training

By Chipset Type

  • GPU
  • CPU
  • FPGA
  • ASIC
  • Others

By Vertical

  • Consumer Electronics
  • Automotive
  • Healthcare
  • Manufacturing
  • Retail & E-Commerce
  • BFSI
  • Marketing
  • Others

By Country

  • China
  • Japan
  • India
  • South Korea
  • Taiwan
  • Malaysia
  • Rest of Asia Pacific

For more information about this report visit https://www.researchandmarkets.com/r/9spj10

About ResearchAndMarkets.com
ResearchAndMarkets.com is the world's leading source for international market research reports and market data. We provide you with the latest data on international and regional markets, key industries, the top companies, new products and the latest trends.

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