Three Most Promising Crypto Investments For 2023 Are Tron (TRX), Polygon (MATIC), and Flasko (FLSK)

newsbtcPublished on 2022-12-21Last updated on 2022-12-21

Abstract

Investors in Tron (TRX) and Polygon (MATIC) are eager to sell their tokens and buy Flasko presale tokens.

In recent months, the cryptocurrency market’s performance has been rather volatile. In the past, few cryptocurrencies suffered huge downtrends. But now, most of them, notably Tron (TRX) and Polygon (MATIC), have been having many challenges.

Many new state-of-the-art cryptocurrencies appear to meet this need. One example is Flasko. Investors in Tron (TRX) and Polygon (MATIC) are eager to sell their tokens and buy Flasko presale tokens.

Tron (TRX)’s Price Might Bounce Back

The initial aim of Tron (TRX) was to create a platform for the selling and acquiring of digital material while safeguarding the intellectual property of its authors. A layer one protocol has evolved, even though Tron (TRX) was created to pay content creators directly. Tron (TRX) has become a widely accepted payment system used by millions. Users in countries with high inflation rates have embraced Tron (TRX)’s USDT token due to the network’s low transaction costs.

Polygon (MATIC) Price Could Drop 30%

Polygon (MATIC) dropped by 12.81% to its lowest price in almost a week, along with the rest of the cryptocurrency market. At its current price of $0.92, the digital currency has fallen below its previous record of $1.00, set back in August. Polygon (MATIC) has fallen below its 25-day moving average and the 23.60% Fibonacci Retracement line, suggesting that its prior upswing has decreased.

The Presale Of Flasko (FLSK) Has Been Quite Successful

The Flasko protocol intends to develop the first NFT marketplace to invest in costly, rare wine, champagne, and whiskey backed by fractionalized NFTs. Users of Flasko may opt to acquire 100% of an NFT and get the premium drinks delivered to their location at no additional cost. The platform’s primary goal is to allow the average person to enjoy luxury alcoholic beverages without breaking the bank.

Some of the best minds in the crypto industry estimate a 2,500% increase in Flasko’s price by the end of 2022. The team cannot sell their tokens for the next two years, while the general Flasko platform is liquidity locked for the next 33 years, meaning your investments will be safe.

EF's Epic Reorganization: 20% Layoffs, Budget Halved, Is Ethereum Gearing Up for a Leaner Future?

The Ethereum Foundation (EF) has announced a major organizational restructuring, involving a 20% staff reduction (approx. 54 employees) and a division into functional clusters like Protocol, Access, User, Community, and Institutional layers. Co-founder Vitalik Buterin further revealed plans to cut the EF's budget by around 40% over the coming years, aiming to reduce its annual spending rate from about 15% to roughly 5% by 2030, transitioning to an endowment-driven model. This overhaul is seen as a long-overdue correction to the EF's ambiguous role. As Ethereum grew, the foundation faced persistent criticism over ETH sales, perceived lack of execution, and unclear strategy, often becoming a focal point for community frustration amid ETH's price stagnation. The reform aims to redefine the EF's boundaries, narrowing its focus to core protocol research, public goods funding, and ecosystem coordination, while offloading more applied development work to the broader market. Concurrently, ecosystem forces like the newly formed Ethlabs (founded by ex-EF researchers) and other independent groups are stepping in to fill the space, signaling a shift from a centralized model to a more distributed, collaborative ecosystem structure. The move was notably praised by Solana co-founder toly, who viewed a "leaner" EF as potentially more decisive and agile.

Odaily星球日报19m ago

EF's Epic Reorganization: 20% Layoffs, Budget Halved, Is Ethereum Gearing Up for a Leaner Future?

Odaily星球日报19m ago

Dragonfly Partner Haseeb: The Fastest-Growing Companies of the Future May All Get Stuck at 149 Employees

Dragonfly partner Haseeb explores the distorted economics of AI model pricing, drawing parallels to tax policy. He notes that startups and small teams (under 150 users) enjoy heavily subsidized, fixed-price AI subscriptions (like Claude Code), where the marginal cost of an additional token is effectively zero. This creates a powerful incentive for them to maximize token usage ("token-maxxing") and innovate aggressively with AI automation. In contrast, large enterprises (over 150 users) are forced onto "Enterprise" plans, paying per-token API fees with high (~75%) markups. This acts like a steep "tax" on AI-powered labor, disincentivizing marginal automation and experimental use, and encouraging them to retain more human workers. Haseeb argues this pricing creates a "150-person cliff," a regulatory notch similar to labor laws in France that discourage firms from growing past 50 employees. He predicts the fastest-growing future companies may deliberately cap their headcount at 149 to avoid the punitive enterprise pricing. This would foster an "AI-first" management philosophy obsessed with automation and outsourcing to stay lean. While not intentionally designed, this bifurcated pricing could become one of the most influential de facto tax policies, shaping how AI replaces labor—not through mass layoffs at big firms, but through agile, AI-native startups outcompeting them.

marsbit31m ago

Dragonfly Partner Haseeb: The Fastest-Growing Companies of the Future May All Get Stuck at 149 Employees

marsbit31m ago

How xBubble Breaks Through in the VC-Heavily-Backed OPC Economy

xBubble: Addressing the Structural Gap in the VC-Backed OPC Economy The concept of OPC (One Person Company) is evolving from a buzzword to a significant AI-driven market. While AI coding tools like Replit and Lovable have validated demand from non-technical users wanting to build applications, a key gap remains: the leap from creating a demo to running a stable, evolving business. These tools still require users to manage the development process, including technical judgments for integrations, modifications, and deployments—a major hurdle for OPCs. xBubble, by DAPPOS, tackles this by shifting from "Prompt-to-Code" to "SOP-to-Business." Instead of generating code from instructions, its core is a system of pre-organized SOPs (Standard Operating Procedures) that translate business goals—like "sell World Cup merchandise"—into complete, executable workflows. This includes generating cohesive assets, pages, payment systems, and backend logic. The platform is augmented by a network of third-party service providers who handle infrastructure (hosting, domains, payment setup), acting like "on-site service engineers." Users can pay for these services directly with xBubble credits, simplifying onboarding. This ecosystem aims to deliver not just an app, but a complete, modifiable business launch path. xBubble targets a clear OPC segment: small commercial nodes (e.g., creators, merchants) with existing products, customers, or channels, but for whom a full tech team is unjustifiable. Its potential lies in SOPs accumulating expertise from real cases, improving reliability and reducing delivery costs over time. Additionally, its native support for crypto payments caters to global or digital-native OPCs. In summary, as AI democratizes software creation, xBubble's opportunity is to prove that "SOP-to-Business" provides more immediate value for launching a real, operational business than a powerful but unstructured AI coding tool.

链捕手33m ago

How xBubble Breaks Through in the VC-Heavily-Backed OPC Economy

链捕手33m ago

Dragonfly Partner Haseeb: Why the Fastest-Growing Companies of the Future May All Stagnate at 149 Employees

Dragonfly partner Haseeb analyzes AI service pricing, particularly Anthropic's model, as a form of "tax policy" on AI labor. He observes a stark contrast: small companies (under ~150 users) benefit from low or zero marginal cost via flat-rate subscriptions, incentivizing them to maximize AI usage ("tokenmaxxing"). In contrast, large enterprises pay per-token API costs with high (e.g., 75%) markups, creating a disincentive for experimental or marginal automation. This pricing cliff at 150 users acts like a regulatory notch, potentially causing the fastest-growing AI-native companies to artificially cap their headcount to retain subsidized rates. Consequently, large-scale direct AI-for-human substitution within big corporations may not happen as expected; instead, job displacement may occur indirectly as lean, AI-heavy startups outcompete and erode their market share. The article concludes that token pricing, though not designed as such, functions as a powerful de facto tax policy shaping company structure and automation incentives.

链捕手40m ago

Dragonfly Partner Haseeb: Why the Fastest-Growing Companies of the Future May All Stagnate at 149 Employees

链捕手40m ago

If It's Not a Clear Yes, It's a No: A Nine-Year Retrospective by a VC Who Survived Four Cycles

**"Invest Only When Certain": A Nine-Year Retrospective from a VC Across Four Cycles** IOSG founder Jocy shares hard-earned lessons from nine years and over a hundred investments in Web3. The core challenge isn't identifying successful founders, but understanding why talented founders with solid ideas still fail. Through building a "failed founder database," IOSG identified six recurring failure patterns. **Founder Trait Red Flags:** 1. **Emotionally Unstable:** Founders who react defensively to criticism or publicly lash out under pressure (e.g., 80% drawdowns) often fail. Resilience is key. 2. **Lacking Hunger / Having a Fallback:** Founders with significant safety nets (family wealth, cushy fallback jobs) may lack the "do-or-die" commitment needed to survive crypto's brutal cycles. 3. **Unchecked Ego:** Includes "polished execution machines" who excel in known frameworks but struggle when paradigms shift, and "professor-types" who are technically brilliant but resistant to commercial feedback or coaching. **Project Structure Red Flags:** 4. **Token-First, Not Product-First:** Treating the token solely as a fundraising tool with no real utility or connection to product value is a major warning sign. The project should have value even if the token goes to zero. 5. **No Day-1 Exit Thesis:** Founders must have a clear, staged capital strategy from the start, understanding what each funding round needs to prove to unlock the next. "Exit before entry" is crucial. 6. **No Full-Cycle Experience:** Founders who haven't lived through a complete crypto bull/bear cycle (e.g., 2018, 2022) often underestimate their vulnerability. IOSG limits initial checks for such teams to $250k, sizing for risk. **The Positive Flipside: Desirable Founder Traits** The ideal candidate exhibits: obsessive problem-depth, being a second-time founder with a non-consensus vision, strong communication skills with *controlled* ego, relentless perseverance, and a global perspective with agency and taste (increasingly vital in the AI era). **Three Survival Tips for Founders:** 1. **Cash Flow Over Narrative:** Real revenue is what sustains projects, not vanity metrics. 2. **Tokens Are a Liability:** Avoid issuing a token unless absolutely necessary. The hidden costs (market making, liquidity, compliance) are immense, often a multi-million-dollar burden. 3. **Respect Liquidity:** Sell during peaks to build treasury, buy back to support the protocol during troughs. Be realistic about valuations and your ability to deliver for the next round. The final principle is simple yet paramount: **"If it's a borderline 'yes' or 'no,' don't invest."** In an industry that reinvents itself every few years, the discipline to consistently say "no" is the ultimate secret to longevity.

Foresight News59m ago

If It's Not a Clear Yes, It's a No: A Nine-Year Retrospective by a VC Who Survived Four Cycles

Foresight News59m ago

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