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PAX, A Modern Crypto Exchange, Is Tekedia Capital Portfolio Startup of Month, June 2025

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PAX is the first exchange to introduce zero-fee trading. Existing exchanges charge a fee to trade. PAX makes money by selling access to its ? API, a feature that is open to every PAX client but primarily of use to market makers. And the biggest part: PAX is 1000x faster, and trades are executed in nanoseconds.

How is that possible? Instead of datacenters, Pax is built on microprocessors which means co-Location on a chip; you trade from inside the exchange, because silicon is inside. PAX is going to become the world’s fastest exchange and that has many implications.

Tekedia Capital recognizes Pax as our portfolio startup of the month, for the progress it has made on this mission ahead of launch. Led by an ex-US marine Stanford EE PhD, we have seen the tenacity, focus and call to duty on this. To learn more about PAX, go here https://pax.markets/ ; for Tekedia Capital capital.tekedia.com

Google Launches Gemini CLI: A Powerful Agentic Tool to Challenge OpenAI and Anthropic in Developer Workflows

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Google has unveiled Gemini CLI, a new agentic AI tool designed to bring the power of its Gemini models directly to developers’ terminals.

Unlike OpenAI’s Codex CLI, which operates in a more restricted environment, and Anthropic’s Claude Code, which emphasizes safety and a 200,000-token context window, Gemini CLI stands out with its open-source Apache 2.0 license and no initial paywall, fostering community-driven innovation.

The open-source utility allows users to execute natural language commands for tasks such as writing code, debugging, feature creation, and streamlining workflows all from the command line. However, while its free tier is robust, enterprise users requiring features like parallel agents or specific governance may need a paid API key.

Now available in preview, Gemini CLI connects locally to developers’ codebases and provides seamless access to Gemini 2.5 Pro. It boasts a 1 million token context window.

Speaking on the launch, CEO of Google Cloud Thomas Kurian said,

“Today, we introduced Gemini CLI, an open-source AI agent that empowers developers with a versatile, local utility that can be directly accessed from the terminal. From code to content, deep research to task management, Gemini CLI is built for cross-platform compatibility with extensibility through MCP bringing the power of Gemini to your terminal.”

Gemini CLI is part of Google’s broader effort to win developer mindshare and promote its AI models in programming environments. It joins tools like Gemini Code Assist and the asynchronous coding assistant Jules, but Gemini CLI marks a more direct competitor to terminal-based tools such as OpenAI’s Codex CLI and Anthropic’s Claude Code.

Beyond coding, Gemini CLI extends its capabilities into other productivity domains. Developers can use it to:

  • Create videos via Google’s Veo 3 model
  • Generate detailed reports using the Deep Research agent
  • Fetch real-time data via Google Search
  • Connect to external databases through MCP servers

With the launch of Gemini CLI, several users have praised its accessibility and power.

A user on X @rishabincloud wrote,

“Gemini CLI is here! An open-source AI agent that brings the power of Gemini directly into your terminal. With unmatched usage limits free of charge excited to try it! Especially because of the 60 model requests per minute and 1,000 requests per day at no charge.”

@MervinPraison wrote,

“Just tried Google’s Gemini CLI and I’m blown away. Built a complete URL shortener with one prompt. FREE 1M token context window means you can feed your entire codebase, and it understands everything This could be a serious competitor to Claude Code”

@Ben Jacobson wrote,

“Ok, so the Gemini CLI is very good. Might even be better than Claude Code output. and faster. Truly wild times we live in”.

As part of its rollout strategy and to encourage adoption, Google is open-sourcing Gemini CLI under the Apache 2.0 license, which is typically considered one of the most permissive. The company says it expects a network of developers to contribute to the project on GitHub. Also, the tech giant is offering generous usage limits: up to 60 model requests per minute and 1,000 per day at no cost.

Since the launch of Gemini 2.5 Pro in April, Google AI models have become a favorite among developers. With the rising popularity of Gemini 2.5 Pro among developers already driving usage of tools like GitHub Copilot and Cursor, Google is positioning Gemini CLI as a central tool to deepen direct engagement with the developer community.

The command-line interface provides a streamlined, high-performance gateway for leveraging Gemini’s capabilities across diverse technical workflows. Google’s move signals an aggressive push to dominate developer workflows, leveraging free access and integration to challenge rivals.

Coinbase Played Pivotal Role In Assisting U.S. Secret Service On The Pig Butchering Scam

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Coinbase played a key role in assisting the U.S. Secret Service to recover $225 million in USDT from Tether, marking one of the largest cryptocurrency seizures in U.S. history. The funds were linked to “pig butchering” scams, where scammers build fake relationships to lure victims into fraudulent crypto investments. Tether froze 39 wallet addresses in late 2023, and Coinbase’s team traced millions of transactions, identifying over 130 victims who lost $2.3 million.

The Department of Justice of Justice filed an enforcement action on June 18, 2024 the funds, which were traced to 140 accounts on OKX, some linked to trafficked individuals in Southeast Asia. Tether burned the frozen USDT and reissued equivalent tokens to a Secret Service-controlled wallet for victim restitution. This operation highlights blockchain forensics and public-private cooperation in combating crypto fraud. Victims are encouraged to file claims with the FBI’s Internet Crime Complaint Center.

The Coinbase-Secret Service collaboration in seizing $225 million in stolen cryptocurrency from “pig butchering” scams carries several significant implications. The operation demonstrates the growing sophistication of law enforcement in tracking and recovering illicit cryptocurrency. Blockchain forensics, as utilized by Coinbase’s team in tracing millions of transactions, shows that crypto transactions are not as anonymous as once thought, strengthening deterrence against crypto-related crimes.

Victim Restitution Potential: The seizure and planned redistribution of funds to over 130 identified victims signal a rare opportunity for scam victims to recover losses. This could set a precedent for future efforts to prioritize victim compensation in crypto fraud cases, though the process via the FBI’s Internet Crime Complaint Center may face logistical challenges.

Pressure on Crypto Exchanges: Coinbase’s proactive role highlights the increasing responsibility of exchanges to combat fraud. This could push other platforms to invest in advanced tracing tools and cooperate with authorities, potentially leading to stricter compliance measures across the industry.

The disruption of a major “pig butchering” scheme, linked to Southeast Asian trafficking networks, may temporarily hinder such operations. However, scammers could adapt by using decentralized platforms or privacy-focused cryptocurrencies, complicating future enforcement. The partnership between Coinbase, Tether, and the Secret Service underscores the importance of cooperation between private crypto firms and government agencies. This could encourage further alliances, improving the speed and scale of responses to crypto fraud.

Regulatory and Policy Shifts: The high-profile seizure may fuel calls for tighter crypto regulations, particularly around stablecoins like USDT, which was central to this case. Governments may push for more oversight of exchanges and wallet providers to prevent similar scams.

Consumer Awareness and Trust: Publicized successes like this could raise awareness about “pig butchering” scams, urging consumers to be more cautious. However, it may also erode trust in crypto as a safe investment vehicle if scam prevalence remains high.

The involvement of trafficked individuals in Southeast Asia highlights the international scope of these scams. This could prompt cross-border investigations and pressure on countries hosting such operations to crack down, though geopolitical complexities may hinder progress. Overall, while this seizure is a win for law enforcement and victims, it exposes ongoing vulnerabilities in the crypto ecosystem and the need for sustained efforts to combat evolving fraud tactics.

Implications of Polymarket’s $200M Funding and $1B Valuation

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Polymarket, a decentralized blockchain-based prediction market platform, is reportedly nearing a $200 million funding round, which would value the company at over $1 billion, achieving “crypto unicorn” status. The round, led by Peter Thiel’s Founders Fund, includes $50 million in previously unannounced funding. This follows Polymarket’s successful 2024, with $70 million raised in May through a $25 million Series A led by General Catalyst and a $45 million Series B led by Founders Fund, backed by investors like Vitalik Buterin and Joe Gebbia.

The platform saw explosive growth during the 2024 U.S. election, with $8 billion in bets and 15.9 million website visits in May 2025, surpassing competitors like FanDuel and DraftKings. Polymarket’s predictive accuracy, reportedly up to 94%, and its partnership with Elon Musk’s xAI have boosted its profile. The new capital is expected to fuel global expansion and regulatory compliance efforts, as Polymarket operates offshore for U.S. markets due to CFTC restrictions. Despite regulatory scrutiny, including a 2022 CFTC settlement and an FBI search warrant, Polymarket is positioning itself as a leader in decentralized forecasting.

Polymarket’s funding and unicorn status signal growing investor confidence in decentralized prediction markets. These platforms leverage blockchain for transparency and immutability, bypassing traditional financial gatekeepers. The $200 million infusion will likely accelerate platform scalability, user acquisition, and technological enhancements, such as improved smart contract efficiency or integration with xAI’s AI tools for better forecasting.

The capital will support Polymarket’s push into new markets, particularly where regulatory frameworks are more permissive. However, U.S. restrictions, enforced by the CFTC, confine Polymarket to offshore operations for American users. This funding could bolster legal efforts to comply with or challenge regulations, potentially reshaping how prediction markets operate in regulated jurisdictions.

Competition with Traditional Betting Platforms

With $8 billion in bets during the 2024 U.S. election, Polymarket outperformed giants like FanDuel and DraftKings in traffic. Its high predictive accuracy (up to 94%) positions it as a credible alternative to centralized betting platforms. This could disrupt the gambling industry, drawing users to decentralized systems that offer lower fees and greater transparency.

Polymarket’s partnership with xAI, backed by Elon Musk, suggests deeper integration of AI for market analysis and user experience. This could enhance predictive models, making Polymarket a go-to platform for not just betting but also data-driven insights, appealing to institutional and retail users alike.

Despite its success, Polymarket faces ongoing scrutiny, as seen in the 2022 CFTC settlement and a recent FBI search warrant. Increased funding may draw more regulatory attention, especially as the platform scales. Navigating this will be critical to sustaining growth without compromising its decentralized ethos.

Democratization of Forecasting: Supporters, including investors like Peter Thiel and Vitalik Buterin, view Polymarket as a tool for crowdsourcing truth. Its decentralized nature reduces manipulation risks, offering a public good by aggregating collective intelligence with high accuracy. The $1B valuation reflects belief in prediction markets as a multi-trillion-dollar asset class. Polymarket’s ability to attract mainstream users and institutional capital could redefine how risk and information are priced globally.

The xAI partnership and blockchain foundation make Polymarket a pioneer in merging AI, crypto, and forecasting, potentially spawning new use cases like policy prediction or supply chain risk assessment. The CFTC’s restrictions and past enforcement actions highlight a fraught relationship with regulators. Critics argue that prediction markets blur the line between gambling and financial instruments, inviting stricter oversight that could stifle growth or force centralization.

Some see prediction markets as incentivizing speculation on sensitive events (e.g., elections, geopolitical crises), potentially amplifying misinformation or market manipulation despite blockchain’s transparency. While decentralized, Polymarket’s crypto-native interface and offshore status for U.S. users exclude non-tech-savvy audiences, creating a gap between early adopters and mainstream users.

Polymarket embodies the crypto ethos of decentralization versus traditional regulatory frameworks. This divide pits libertarian-leaning tech innovators against policymakers prioritizing consumer protection and market stability. The platform’s rise could shift economic power from centralized betting firms to decentralized ecosystems, but only if it overcomes regulatory barriers. This creates tension between disruptive innovation and entrenched industries.

Polymarket’s predictive power could inform public discourse, but its focus on high-stakes events risks alienating users who see it as exploitative rather than informative. Polymarket’s funding milestone underscores its potential to revolutionize forecasting and challenge traditional betting, but it also amplifies the divide between decentralized innovation and regulatory realities. Its success hinges on balancing growth with compliance while maintaining its decentralized principles.

Invesco QQQ Trust Has Reached A New All-Time High

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The Invesco QQQ Trust (QQQ), which tracks the Nasdaq-100 Index, has indeed reached a new all-time high, as confirmed by recent market activity. The finance card above shows QQQ’s current price at $542.163 USD, with a daily high of $543.27, surpassing its previous 52-week high of $540.81. This milestone aligns with posts on X, where users like @StockMKTNewz noted on June 25, 2025, that QQQ is officially trading at new all-time highs for the first time since February.

QQQ has gained 5.74% year-to-date and 12.88% over the past year. It declined 8.11% in Q1 2025, underperforming the S&P 500 (-4.28%) but outperforming the Russell 1000 Growth Index (-9.97%). In May 2025, the Nasdaq-100 Index rose 9.13%, driving strong QQQ performance. Heavily weighted toward tech giants like Apple, Microsoft, Nvidia, and Broadcom, with significant exposure to technology (over 50%), consumer services, and healthcare.

Top performers in Q1 2025 included Exelon Corp. (+23.55%) and Gilead Sciences (+22.17%), while Tesla (-35.83%) and Marvell Technology (-44.23%) lagged. Rated 5 stars by Morningstar for 10-year risk-adjusted returns as of May 31, 2025, and ranked the best-performing large-cap growth fund over 15 years by Lipper as of March 31, 2025.

The surge is driven by strong performance in tech stocks, particularly those tied to AI and innovation, with key contributors like Meta Platforms (META) and Nvidia (NVDA) fueling the Nasdaq-100’s momentum. The broader market sentiment appears bullish, supported by factors like the Israel-Iran ceasefire and optimism around AI-driven growth, as mentioned in X posts. However, some caution persists due to elevated volatility (VIX at 18) and potential tariff concerns.

Historically, QQQ’s performance after hitting new highs post-bear market, as seen in 2023, suggests potential for further gains, especially with the generative AI boom still developing. Yet, the fund’s tech-heavy concentration (58.57% weighting in May) and high P/E ratio (31.14) could introduce volatility if market conditions shift. For context, QQQ’s 1-year return is up 12.88%, and its 5-year return is a robust 121.30%, reflecting its long-term strength. Investors should monitor resistance near $710 (long-term target) and support around $503-$540, as suggested by technical analysis.

The Invesco QQQ Trust (QQQ) hitting a new all-time high has several implications for investors, markets, and the broader economy. QQQ’s rise, driven by tech giants like Nvidia and Meta, signals strong investor confidence in technology, particularly AI-related sectors. This could spur further investment in innovation-driven companies, but overvaluation risks (with a P/E ratio of 31.14) may lead to volatility if earnings disappoint.

The Nasdaq-100’s outperformance suggests tech continues to lead U.S. equity markets. However, QQQ’s heavy tech weighting (58.57%) means it’s vulnerable to sector-specific shocks, like regulatory changes or supply chain issues, which could ripple across broader indices. The rally reflects optimism about economic stability, partly due to events like the Israel-Iran ceasefire easing geopolitical tensions. However, high valuations and a VIX at 18 indicate underlying uncertainty, potentially tied to tariff concerns or inflation expectations.

Investors may see QQQ’s breakout as a signal to increase exposure to growth stocks, but the high P/E and concentration risk suggest diversification or hedging strategies (e.g., options or bonds) to manage potential pullbacks. Support levels ($503-$540) and long-term targets ($710) are key for technical traders. Rising QQQ prices could boost consumer confidence among investors, potentially increasing spending and supporting economic growth. Conversely, a sharp correction could dampen sentiment, especially for retail investors heavily exposed to tech.

QQQ’s performance influences global markets, as many Nasdaq-100 companies are multinational. A sustained rally could strengthen the U.S. dollar, impacting emerging markets, while a tech pullback might trigger global risk-off sentiment. Investors should weigh these factors, monitor macroeconomic developments, and consider risk tolerance, as the high could precede either further gains or a correction depending on market dynamics.