Pi Network Introduces PiRC1 Token Framework for Mainnet Ecosystem

TheNewsCryptoPublicado em 2026-02-23Última atualização em 2026-02-23

Resumo

Pi Network has introduced the PiRC1 token framework, a new utility-oriented standard for creating and managing tokens within its Mainnet ecosystem. This framework provides structured guidelines for token issuance, distribution, and emission logic, aiming to support real-world applications and services. A key feature is that funds from token launches will be directed to liquidity pools rather than project teams, enhancing trade stability. The proposal is open for community feedback on GitHub, reflecting Pi Network’s focus on community-driven governance. The move is expected to attract more developers and provide competitive advantages by offering clear operational parameters. This development coincides with significant Mainnet growth, including millions of users completing identity verification.

The Pi Network has rolled out a new utility-oriented token design framework for the Mainnet ecosystem, which highlights structured standards for the launch of future tokens. The move is a breakthrough for the network as it continues to develop its Open Network phase. Through the establishment of token standards, Pi Network aims to offer developers a clear guideline on how to create tokens within the ecosystem.

Structured Token Standards and Emission Logic

The PiRC1 document describes guidelines for token creation, management, and distribution patterns in the ecosystem. The guidelines focus on real-world applications rather than hypothetical scenarios, promoting tokens that enable applications and services running on Mainnet. As per the design published, the ecosystem tokens would co-exist with the native Pi coin, enabling decentralized applications and digital commerce. The design specifies the emission logic to inject the tokens into the system in a structured fashion.

The document also outlines ways that are expected to facilitate liquidity creation. According to the proposed structure, funds raised from the launch of ecosystem tokens would go into liquidity pools and not directly to project teams. This is expected to improve the stability of trade flows and eliminate structural uncertainties.

Developers expected to implement the proposal can examine the technical details and offer comments before final implementation. Pi Network has published the framework publicly on GitHub to allow community members to contribute to its improvement.

Community Engagement and Ecosystem Development

The proposal has been framed by Pi Network as part of a larger initiative to promote community-driven governance and development. Members of the community can access the document and provide feedback during the feedback period. Industry analysts have pointed out that well-defined token standards can help remove confusion for developers working on blockchain networks. Well-structured supply dynamics and rules for token emissions can also help improve clarity for participants in the ecosystem.

The announcement comes at a time when Pi Network is celebrating the growth of its Mainnet ecosystem. Millions of users have completed identity verification and switched over to Mainnet, and developers are working on applications in the network environment.

Experts believe that standardized token frameworks could assist in attracting more developers with clearer operating parameters. The standardized design of tokens could also give the ecosystem a competitive edge over projects that do not have standardized guidelines. The Pi Network has not set a final timeline for implementation, as the proposal is still open for community feedback.

Highlighted Crypto News:

AI Automation Mishap Leads to $442K Memecoin Transfer on Solana

Perguntas relacionadas

QWhat is the main purpose of the PiRC1 token framework introduced by Pi Network?

AThe PiRC1 token framework provides structured standards for token creation, management, and distribution within the Pi Mainnet ecosystem, focusing on real-world applications and enabling decentralized applications and digital commerce.

QHow does the PiRC1 framework propose to handle funds raised from ecosystem token launches?

AFunds raised from ecosystem token launches would go into liquidity pools rather than directly to project teams, aiming to improve trade flow stability and eliminate structural uncertainties.

QWhere has Pi Network published the PiRC1 framework for community review and contribution?

APi Network has published the framework publicly on GitHub to allow community members to examine technical details, offer comments, and contribute to its improvement.

QHow does the PiRC1 framework aim to benefit the Pi Network ecosystem according to industry analysts?

AWell-defined token standards can remove confusion for developers, while structured supply dynamics and emission rules provide clarity for ecosystem participants, potentially attracting more developers and giving the ecosystem a competitive edge.

QWhat milestone is Pi Network celebrating alongside the introduction of the PiRC1 framework?

APi Network is celebrating the growth of its Mainnet ecosystem, with millions of users having completed identity verification and migrated to Mainnet, while developers are building applications in the network environment.

Leituras Relacionadas

Software Stocks Scared by AI, How Did They Suddenly Become the Hottest Spot in the U.S. Stock Market?

Software stocks, once feared to be doomed by AI, have staged a dramatic comeback, posting their largest two-day outperformance against the S&P 500 in 25 years. Stocks like Snowflake and Datadog surged over 50% in days, fueled by strong earnings that countered earlier panic. The narrative that AI would render traditional software obsolete has flipped. Reports show AI isn't replacing software but becoming a major user of it, requiring databases, security platforms like Okta, and workflow tools. The low hedge fund positioning in software, at a multi-year low, triggered a massive short squeeze and rally. Analysts now argue the profit wave is shifting from AI hardware to software, as companies integrate AI into complex, governed business processes. The key insight is that enterprises pay for the ability to turn AI "intelligence" into reliable, compliant business outcomes—a gap that established software companies are well-positioned to fill. AI isn't killing software; it's redefining its role and creating new demand.

marsbitHá 11m

Software Stocks Scared by AI, How Did They Suddenly Become the Hottest Spot in the U.S. Stock Market?

marsbitHá 11m

Why Not Short Even When Bearish? Munger Did the Math on a 'Losing Trade'

Why Not Short Even When Bearish? Charlie Munger's Calculated "Loss-Making Account" Many traders, drawn to speculative tools like futures contracts, often face repeated failures. As the article notes, unless one is a genius, such instruments should be avoided for long-term profit-seeking. Similarly, the practice of short selling is viewed with caution. The author firmly states a policy of not shorting, even when bearish, preferring to simply wait. The core reason? Successful short selling requires exceptionally difficult conditions to profit. Legendary investors Warren Buffett and Charlie Munger have themselves reflected on painful short-selling experiences. Munger highlights two critical flaws in the mathematical logic of shorting: 1. Asymmetrical Risk/Reward: A long position has a maximum loss of 100% but unlimited upside. A short position caps profit at 100% (if a stock falls to zero) but carries theoretically unlimited loss potential. 2. The "Promoter" Problem: Fraudulent or struggling companies can prolong their decline. As Munger said, "You can run out of money before the promoter runs out of ideas," meaning short sellers may be forced to cover positions at a loss before the company's true fate unfolds. The article cites Stanley Druckenmiller, a famed hedge fund manager. He once shorted 12 companies that all eventually went bankrupt. However, intense market rallies forced him to cover his positions within three weeks, resulting in massive losses—$200 million of his capital plus an additional $600 million. He concluded he likely never made money shorting in his career. His experience perfectly illustrates Munger's points: facing unlimited losses and being wiped out before being proven right. The conclusion is clear: for most investors, complex instruments like short selling and derivatives are not viable paths to stable, long-term gains. Self-reflection is advised before repeatedly wasting time and capital on such speculative strategies.

marsbitHá 13m

Why Not Short Even When Bearish? Munger Did the Math on a 'Losing Trade'

marsbitHá 13m

For Hedging, Buy Gold and Oil; For Explosive Growth, Buy AI; Bitcoin, the 'Outdated' Asset, Enters a Bear Market

Bitcoin’s price has recently fallen sharply, hitting a two-month low near $66,000, with Ethereum also dropping to a three-month low. While surface explanations point to ETF outflows, geopolitical tensions, and corporate selling, a deeper issue is emerging: Bitcoin is losing a crucial asset competition. For years, Bitcoin thrived in a low-rate environment where investors sought alternatives amid inflation fears and dissatisfaction with traditional options. Now, the market landscape has shifted, leaving Bitcoin stuck in an "awkward middle ground," facing challenges on three fronts: 1. **As an inflation hedge, gold is winning.** Investors worried about persistent inflation are turning to tangible assets like gold, energy stocks, and commodity producers, which offer more direct pricing power and physical backing. 2. **For growth exposure, AI is winning.** Those seeking high growth now favor AI-related companies with actual revenues and profits, an area where Bitcoin's lack of cash flow puts it at a disadvantage. 3. **Within crypto, infrastructure and stablecoins are winning.** Even investors wanting crypto exposure have alternatives like exchanges, stablecoin issuers, and tokenization firms, whose performance is directly tied to real-world adoption and offers clearer operational leverage. The recent market reaction to inflation warnings highlights this shift. Instead of boosting Bitcoin as "digital gold," such news now drives flows toward traditional inflation-sensitive assets. Therefore, recent events like ETF outflows and corporate selling are seen not as causes, but as symptoms of this new reality. Capital has more compelling options, and investors are becoming more selective. The emerging bear case for Bitcoin is no longer about it being a fraud or failed technology, but rather that **scarcity alone is no longer enough**. It is no longer seen as the best hedge, the best growth asset, or the only crypto play.

marsbitHá 29m

For Hedging, Buy Gold and Oil; For Explosive Growth, Buy AI; Bitcoin, the 'Outdated' Asset, Enters a Bear Market

marsbitHá 29m

SaaS Battle Royale: The Survivors Who Win All Share One Common Trait

**Summary** The AI revolution has triggered a "SaaS apocalypse," forcing a brutal market shakeout. The key dividing line is the pricing model. Companies like Snowflake and Datadog, which charge based on consumption (e.g., data processed or compute used), are thriving. AI workloads actively *generate* more demand for their services, fueling growth. Datadog's accelerating revenue is a prime example. Microsoft and Palantir, as platform/ecosystem players, also benefit by acting as essential channels for AI deployment. In contrast, traditional SaaS firms built on per-seat or per-task licensing (e.g., Intuit, Adobe) face direct pressure, as AI threatens to automate the very human tasks their software supports. Companies like Salesforce, a per-seat giant, are caught in the middle. While showing strong AI monetization (e.g., its Agentforce platform) and experimenting with consumption-based "Flex Credits," its stock remains under pressure, illustrating that the market rewards *completed* transitions, not just the intent. The recent Microsoft Build conference underscored key trends: AI is evolving from an assistant to an autonomous "agent," and platform providers like Microsoft are consolidating their control. The market's recovery is highly selective, focused on identifying which companies are "fed by AI" versus "eaten by AI." Future focus will be on the diffusion of this recovery to transforming companies and the real-world adoption data of AI agents like Microsoft Copilot.

marsbitHá 46m

SaaS Battle Royale: The Survivors Who Win All Share One Common Trait

marsbitHá 46m

XRP Falters In Face Of Rival XLM: Why Retail Traders Are Dumping One For The Other

Rival cryptocurrencies XRP and XLM are seeing a shift in retail trader preference, particularly in South Korea. Data from the Upbit exchange shows XLM's 24-hour trading volume ($252.3M) has surpassed XRP's ($125.7M) for the first time. This shift is attributed to increased interest in Stellar's role in tokenized finance, fueled by news linking the network to the US DTCC. While XLM's price surged over 55% to $11, XRP fell below $1.3 despite its historical popularity in Asian markets. A separate analyst suggests XRP could follow with a significant rally, potentially targeting new highs, though this remains speculative.

bitcoinistHá 47m

XRP Falters In Face Of Rival XLM: Why Retail Traders Are Dumping One For The Other