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2025

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Tradegrid Is Tekedia Capital Startup of the Month, June 2025

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Tekedia Capital congratulates TradeGrid, our portfolio company, for being selected as Tekedia Capital Startup of the Month June 2025 for delivering one of the finest growths we have seen in business: “This quarter s result marks the beginning of a new phase one defined by scale, speed, and vision. Achieving a 1,456% YoY quarter growth is more than a financial milestone; it is proof that era defining ideas, when powered by bold execution and transformative technology, can reshape entire markets.”

Tradegrid has oil trading business in Kenya, Nigeria, etc. In Nigeria, it is emerging as Nigeria’s most innovative downstream oil trading and financial player. Learn more at Tradegrid.

I am using this moment to connect with those who do oil trading and downstream financing business at global level; Tradegrid is open for international business. We have proprietary technologies and business models which have worked with absolute quality in sub-Saharan African markets. We are hungry to grow. Contact us.

Ndubuisi Ekekwe

Board Member, Tradegrid USA

Tesla to Open A Showroom in Mumbai, marking First Footprint in India

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Tesla is set to open its first showroom in India on July 15, taking a definitive step into one of the world’s largest untapped electric vehicle markets. The “Experience Center,” located at the upscale Maker Maxity Mall in Bandra Kurla Complex (BKC), Mumbai, will serve as the company’s maiden physical presence in India and is expected to mark the beginning of direct car sales to Indian customers.

The launch event will run for an hour and a half and is expected to feature the display of Tesla’s flagship models, ushering in a new chapter for the EV giant in South Asia. While no official announcement has been made about production, the showroom is widely seen as a strategic foothold for a deeper expansion — potentially including manufacturing — in the future.

Trump Once Opposed Tesla’s India Plans

Tesla’s move into India is unfolding against the backdrop of political tension between CEO Elon Musk and President Donald Trump. Trump, whose administration championed protectionist policies and American industrialism, had in the past publicly criticized Musk for exploring plans to move Tesla production abroad, particularly to countries like India and Mexico.

Trump said that if Musk wanted to build a factory in India, that was “okay” but also “unfair” to the US.

“That’s unfair to us. It’s very unfair,” he said.

But the recent fallout between Musk and Trump appears to have shifted the dynamics. Musk resigned from Trump’s Department of Government Efficiency (DOGE) in May, and the duo have had a public fallout over the president’s so-called “Big Beautiful Bill.” Trump has announced a plan to launch his own political movement, the “America Party.”

With that split, Musk seems to be moving forward with his global expansion plans unbothered by political pressure. Although Tesla has not yet announced local manufacturing in India, the Mumbai showroom is widely seen by analysts as a prelude to more significant commitments, including potential investment in a gigafactory.

India Pushes for Local Production

India, under Prime Minister Narendra Modi, has made no secret of its ambitions to become a global EV hub. The government has introduced incentives such as reduced import duties (15% vs. the standard 70%) for EV manufacturers willing to invest $500 million and build factories locally. So far, Tesla has resisted these terms, choosing to import vehicles from its plants in Shanghai and Berlin instead.

However, pressure may be mounting. According to analysts, the showroom launch gives Tesla a front-row seat to India’s rapidly evolving EV market, but continued reliance on imported cars will limit its competitiveness due to high tariffs. Indian companies like Tata Motors, and Chinese entrants like BYD, are already offering locally produced, affordable EVs.

Tesla has already begun recruiting aggressively in India. Job listings on LinkedIn reveal plans to hire showroom advisors, vehicle operators for Autopilot data, service technicians, and security staff in Mumbai. The company is also hiring store managers and other personnel in New Delhi, raising speculation that a second showroom may be on the way.

For now, Tesla’s cars will be sold in India through imports, a strategy that allows for early brand visibility but may limit sales volume due to elevated costs. Still, the company’s entrance is seen as a critical first step in building a long-term Indian presence — something Musk has hinted at before, but delayed due to regulatory bottlenecks.

India’s fast-growing urban population, government support for green technology, and push for domestic EV production all make it an attractive target for Tesla. However, the road ahead won’t be easy. Unless Tesla commits to building in India, its vehicles will continue to be priced far above domestic alternatives, dampening its reach.

With the Mumbai showroom set to open next week, Tesla is finally putting wheels on the ground in India — even if its gigafactory dreams in the country remain parked for now. But in a post-Trump fallout era, it appears that Musk’s international expansion plans are no longer constrained by political disapproval from Washington. The only question is how long Tesla can delay local manufacturing before the market forces its next move.

Hyperliquid Price: HYPE Network Fees Beat Ethereum, But This Under-$1 Token Crushes Both With Stronger Bullish Outlook

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In this rapidly changing environment, network fees and scaling issues continue to be an ongoing battleground. Lower fees for HYPE tokens on Hyperliquid than on Ethereum have made some noise, but an entirely new contender has arisen to be addressed beyond price considerations. Little Pepe ($LILPEPE), a meme coin under $1, is bullish in sentiment, outdoing both to create a new value proposition for what it means to be a real-world utility meme coin.

Little Pepe: The Meme Coin With Real Utility

Little Pepe ($LILPEPE) is not just another meme coin—the token offers real utility and long-term value. Built on an Ethereum-compatible Layer 2 blockchain, it delivers fast and low-cost transactions, supported by a robust scalability solution that outperforms both Ethereum and its competitors. Now adding more flavor to the mix is the $777,000 giveaway from Little Pepe. During the presale period, the ten lucky winners will each get $77,000 worth of LILPEPE tokens. This is only possible during the presale period itself, hence further motivating community participation.

Presale Details: Stage 5 Momentum

The Little Pepe presale, now in Stage 5, indicates investor optimism and surging adoption. The price of the ongoing stage is $0.0014 per token, and the next stage price will witness a gradual increase to $0.0015. So far, $4.77 million has been raised out of a $6.57 million target, with 3.96 billion tokens sold out of the 5.25 billion allocated for this stage.

Stage 1 set the precedent for demand by launching at $0.0010 per token and raising $500,000 in short order. Stage 2 followed at $0.0011, bringing the total funds raised to $1,325,000 by its conclusion. Stage 3 maintained the momentum at $0.0012, pushing the total amount raised to $2.5 million. Now, with Stage 4 concluded at a price of $0.0013 and over $4.475 million raised, Little Pepe continues to demonstrate strong growth backed by solid community support.

Core Features Setting Little Pepe Apart

Little Pepe is designed for fun almost as much as functionality. It has a list of features that put it above many of the reputed tokens:

  • Ethereum-compatible Layer-2 blockchain: fast, scalable, and cheap.
  • 0% trading tax: Maximizing returns for the user.
  • Sniper bot protection: Fair trade environment for all.
  • Meme LaunchPad: Incubate and launch meme projects.
  • DAO Voting: Let the Community Decide.
  • Future features: NFTs and cross-chain compatibility are in talks to be worked on, which will allow continual improvement and utility. 

Conclusion

As Hyperliquid and Ethereum continue their fee wars, Little Pepe ($LILPEPE), with a bullish roadmap, is silently and confidently steering through them stronger. The blending of meme culture, sound technical attributes, and undeniable usability makes LILPEPE a unique project in this era.  With staking, NFTs, DAO voting, and cross-chain compatibility on the way, Little Pepe is no longer just a meme but a movement that has strong power for retention. This sub-$1 token is poised for a very bright future, with increased attention from investors and innovators.

 

For More Details About Little PEPE, Visit The Below Link:

Website: https://littlepepe.com

Perfogro Ltd Shares How to Use First-Party Data to Power Smarter Campaigns in a Post-Cookie World

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With third-party cookies on the verge of becoming obsolete, the digital advertising ecosystem is undergoing a significant transformation. Marketers, publishers, and technology providers are all seeking sustainable solutions to maintain performance while respecting consumer privacy. Among the most promising responses to this shift is the strategic use of first-party data.

Perfogro Ltd has identified key strategies for turning first-party data into a powerful engine for smarter, more effective campaigns. Without relying on third-party tracking, businesses can still drive personalization, measurement, and performance when they know how to work with the data they already have.

Understanding the Post-Cookie Challenge

The phase-out of third-party cookies, driven by evolving data privacy regulations (such as GDPR and CCPA) and browser restrictions (particularly from Safari and Chrome), poses real challenges for digital advertisers. For years, third-party cookies allowed advertisers to track users across websites, measure attribution, and personalize ads at scale.

However, this model is no longer sustainable. As tracking methods come under increasing scrutiny, brands are being forced to rethink how they collect and use data. According to Perfogro Ltd, this challenge also presents a long-term opportunity: a shift from dependency on intermediaries to greater control and transparency through first-party data.

What Is First-Party Data—and Why It Matters

Perfogro Ltd defines first-party data as the information gathered directly from one’s brand’s audience through owned communications such as web, application, e-mail, social networking sites, customer service touch points, etc. The first-party data has behavioral cues, history of transactions, demographic information, preferences, and CRM information.

Unlike third-party data, first-party data is:

  • More accurate because it comes directly from the source

  • More privacy-compliant because users have given consent

  • More relevant because it reflects real interactions with the brand

Perfogro Ltd highlights how first-party-oriented marketers remain in line with the regulators but at the same time have access to more comprehensive customer insights, from which they derive more effective and more relevant communications.

The Role of First-Party Data in Campaign Optimization

The future of advertising will be rooted in smarter, more intentional customer-data usage. Perfogro Ltd makes the point first-party data needs to be treated as a strategic asset—an asset capable of multiplying everything from segmentation to creative customization.

1. Improved Audience Segmentation

Now, with access to behavioral and transactional information, marketers have the freedom to more sensitively segment their audiences. Perfogro Ltd encourages marketers to look beyond simple demographics to build dynamic segments based on buying intent, viewing behaviors around content, and user interaction.

This allows marketers to send the right message at the right moment, enhancing the engagement rate and minimizing waste in ad expenditure.

2. Personalization at Scale

It is more effective to individualise at the individual level according to genuine customer preference. Perfogro Ltd places emphasis on the importance of using first-party data insight to routinely individualise web pages, product recommendations, and email communications. Executed effectively, this creates powerful customer relationships and generates lifetime value.

3. Better Attribution and Tracking

Classic attribution approaches may fail in the absence of third-party tracking. Perfogro Ltd calls on marketers to adopt modern measurement techniques rooted in first-party data, such as cohort analysis, clickstream tracking, and customer journey mapping.

These approaches give us more understanding of the reasons behind conversions and adjust our spending in the media accordingly.

Building a Strong First-Party Data Foundation

To fully leverage the power of first-party data, Perfogro Ltd outlines three key pillars every business must establish:

1. Consent and Transparency

Trust begins with transparency. Perfogro Ltd emphasizes the need for clear consent mechanisms that give users control over their data. This includes cookie banners, preference centers, and opt-in forms that are easy to understand.

Compliant data practices not only fulfill legal obligations but also enhance brand reputation in the eyes of privacy-conscious consumers.

2. Data Infrastructure and Integration

First-party data is often siloed across systems—CRM, POS, analytics tools, email platforms. Perfogro Ltd advises businesses to invest in integrated data infrastructure, such as customer data platforms (CDPs), to unify and activate insights across channels.

With a centralized view of the customer, marketers can more easily orchestrate campaigns and measure performance holistically.

3. Analytics and Intelligence

Data gathering is only the beginning of the task. Perfogro Ltd stresses the importance of turning raw data into smart insights. This involves the application of analytics powered by artificial intelligence, machine learning algorithms, and predictive scores to gauge customer intent and optimize campaigns.

Best Practices by Perfogro Ltd for First-Party Data Activation

Perfogro Ltd provides the following tips for organizations looking to activate their first-party data in a meaningful and sustainable way:

  • Start small: Focus on one or two use cases, such as email personalization or site optimization.

  • Test and learn: Run A/B tests to measure the impact of data-driven changes.

  • Prioritize quality: Ensure data is clean, structured, and up to date.

  • Respect privacy: Always comply with local regulations and user preferences.

  • Invest in talent: Equip teams with data literacy and analytics skills.

Future Trends: AI and Privacy-Conscious Targeting

Looking ahead, Perfogro Ltd predicts that AI will play an increasingly vital role in unlocking the full value of first-party data. From customer lifetime value prediction to automated content recommendations, AI can scale personalization without compromising user privacy.

At the same time, privacy-centric technologies like differential privacy, clean rooms, and federated learning will offer new avenues for secure, anonymized insights. C

Final Words by Perfogro Ltd

As the marketing world enters the post-cookie era, first-party data has emerged as a critical lever for sustainable success. Perfogro Ltd encourages brands to take control of their data destiny—not just to adapt to regulatory change, but to build deeper, more authentic relationships with their audiences.

By following structured, privacy-compliant practices, and investing in intelligent data activation, businesses can drive smarter campaigns, achieve better performance, and prepare for the next evolution of digital marketing.

Google Snatches Windsurf’s CEO In AI Talent Hunt, Derails OpenAI’s $3bn Acquisition Bid

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In another twist in the escalating battle for AI dominance, Google has hired Varun Mohan, CEO and co-founder of AI coding startup Windsurf, along with other key members of the company’s research and development team, to join its DeepMind division.

The move, confirmed Friday, deals a heavy blow to OpenAI, which had been in late-stage talks to acquire Windsurf in a deal reportedly worth $3 billion.

Instead of acquiring the company outright, Google opted for a strategic talent acquisition and secured a nonexclusive license to certain Windsurf technologies. This arrangement allows Windsurf to retain its independence and continue licensing its technology to other firms. The startup, now under interim CEO Jeff Wang—its former head of business—will continue to develop its AI coding products for enterprise clients.

“Most of Windsurf’s world-class team will continue to build the Windsurf product with the goal of maximizing its impact in the enterprise,” Wang said in a statement posted on X.

Google’s Deepening Bet on Agentic Coding

The hires are aimed squarely at strengthening Google DeepMind’s capabilities in agentic coding, a fast-emerging area of AI that allows systems to autonomously write, update, and maintain complex software. Google has said these new hires will help further its ambitions with Gemini, its flagship AI model suite that is being integrated across its products and services.

“We’re excited to welcome some top AI coding talent from Windsurf’s team to Google DeepMind to advance our work in agentic coding,” a company spokesperson said.

Agentic coding refers to AI systems capable of carrying out entire software development workflows—from design to deployment—without step-by-step human input. It represents a leap forward from current AI assistants that mostly help with code suggestions or document summarization.

OpenAI’s Acquisition Talks Collapse

The Google-Windsurf deal reportedly ended OpenAI’s attempt to buy the startup. According to Reuters and CNBC, OpenAI had been in advanced negotiations to acquire Windsurf earlier this year, eyeing the startup’s unique capabilities and growing popularity in “vibe coding”—a term used to describe modern AI-assisted software development embraced by developers and non-developers alike.

OpenAI had also considered buying another AI coding startup, Cursor, but both bids ultimately fell apart. As Windsurf’s engineering core heads to DeepMind, OpenAI finds itself having missed out on one of the most coveted teams in the AI development tools space.

Founded with a focus on AI-enhanced coding tools, Windsurf quickly gained traction this year with its developer-friendly offerings. The company was gaining popularity in both developer and enterprise circles for its “vibe coding” experience—a form of intuitive, AI-guided code generation that reduces the learning curve for non-programmers while accelerating professional development cycles.

Windsurf’s growing influence had caught the attention of multiple tech giants. The startup reportedly began late-stage talks with OpenAI before being approached by Google. In the end, the allure of DeepMind’s resources and research environment appears to have tipped the scales.

Google’s move mirrors past maneuvers in the AI space. The company previously hired select staff from Character.AI, another AI startup, and has routinely absorbed top talent instead of acquiring entire companies. Meta, Microsoft, and Amazon have similarly pursued aggressive talent grabs. Meta recently onboarded Scale AI founder Alexandr Wang to lead its AI strategy as part of a $14.3 billion investment into Scale.

A Growing Arsenal for Google

The arrival of Varun Mohan and Douglas Chen, Windsurf’s other co-founder, gives Google additional firepower as it ramps up its challenge to Microsoft, OpenAI, and Anthropic in the race to build smarter, more autonomous AI tools for coding and productivity.

Microsoft, which has integrated AI heavily into its development stack through GitHub Copilot and Visual Studio Code, is also pushing agentic features. CEO Satya Nadella said recently that AI now writes 30% of Microsoft’s code. Similarly, Salesforce claims AI handles up to 50% of its engineering tasks.

Windsurf’s remaining team is expected to continue operating independently with a focus on enterprise integrations. The company plans to retain control over its product development while leveraging its nonexclusive licensing agreement with Google to scale selectively.

Google’s Push to Lead AI Market

As generative AI redefines how software is built, companies are scrambling to secure not just the models but the talent capable of pushing the boundaries. Windsurf’s engineers—now embedded at Google DeepMind—are expected to help develop advanced agentic systems that will likely show up in future iterations of Gemini.

By hiring out the core of Windsurf’s brain trust, Google DeepMind doesn’t just gain technology—it also cuts off a promising channel of innovation from reaching rivals like OpenAI or Microsoft. In a market where the difference between success and irrelevance increasingly comes down to who can build the best tools fastest, that’s no small victory.