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Sequoia Capital India Leads $450 Million Round for Polygon With SoftBank, Galaxy, Tiger, Republic Capital

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Polygon raised about $450 million in a funding round led by Sequoia Capital India with participation from more than 40 major venture capital firms including SoftBank Vision Fund 2Galaxy DigitalGalaxy InteractiveTiger GlobalRepublic Capital and prominent investors like Alan Howard (co-founder, Brevan Howard) and Kevin O’Leary (Mr. Wonderful from ABC’s Shark Tank).

Polygon’s first major financing round since the project’s founding in 2017 has also attracted contributions from Alameda ResearchTranscend FundMakers FundAnimoca Brands, global video game leader and games industry investor Scopelydune venturesUnion Square Ventures, Alexis Ohanian’s Seven Seven SixElevation CapitalSino Global CapitalDCGStandard CryptoCelsiusDragonfly CapitalVariant FundBlue Pool CapitalWorkPlay Ventures (led by Zynga founder Mark Pincus), and many more. The funds will be raised through a private sale of Polygon’s native MATIC token.

This will allow the team to consolidate its lead in the race to scale Ethereum, obviating the need for alternative blockchains and paving the way for mass adoption of Web3 applications. Polygon is building a suite of scaling solutions, including Polygon PoS, Polygon Edge and Polygon Avail, that is similar to what Amazon Web Services offers Web2 developers — a tool for every possible use case. The team is also investing in cutting-edge zero knowledge (ZK) technology that will be key to onboarding the next billion users to Ethereum.

Polygon has always been a community-first project and owes its success to the ecosystem of early believers, developers and stakeholders. This investment round is the tide that lifts all boats and exemplifies the role the community plays in making Web3 a reality.

“Web3 builds on the early Internet’s open-source ideals, enabling users to create the value, control the network and reap the rewards. Ethereum, scaled by Polygon, will be the bedrock of this next stage in the Web’s evolution,” said Polygon co-founder Sandeep Nailwal. “Technological disruption didn’t start with Web2, nor is it going to end there. That’s why we are very excited to see some of the same firms that funded the previous round of innovation now being our Web3 vision.”

The most pressing question for the Ethereum community has been how to increase the network’s capacity to handle more transactions. The skyrocketing popularity of new applications in decentralized finance (DeFi) and non-fungible tokens (NFTs) brought with it congestion and soaring fees. Polygon has stepped in with a broad range of scaling options and transaction rates that are among the industry’s lowest.

Over the past year, Polygon has attracted some of the biggest projects in Web3, from DeFi protocols such as lending platform Aave to luxury brands company Dolce & Gabbana and NFT marketplaces including OpenSea and Mark Cuban’s Lazy.com. Virtual worlds such as Decentraland and Animoca Brands’ The Sandbox are also laying the groundwork for the metaverse on the network. More than 7,000 decentralized apps (dApps) are currently building on Polygon, making it the main destination for Web3 platforms and developers.

“The platform of choice to build on the blockchain today is Polygon. Thousands of developers across a range of applications are choosing Polygon and their complete set of scaling solutions for the Ethereum ecosystem,” said Shailesh Lakhani, MD at Sequoia India. “This is an ambitious and aggressive team, one that values innovation at its core. Sequoia Capital India is thrilled to lead this significant financing round.”

Polygon PoS adoption has soared exponentially, with a billion transactions recorded last year. The network’s more than 130 million unique addresses and over 2.67 million monthly active users now generate some 3 million transactions per day, more than double the volume of Ethereum. Polygon’s native MATIC token has a market capitalization of over $12 billion.

To make sure the growth can continue into the foreseeable future, Polygon is making major investments into zero knowledge cryptography, a technology widely seen as the end game for blockchain scaling. The core development team made it a centerpiece of its strategic vision in the Zero Knowledge Thesis published in August. As part of that mission, the team has committed $1 billion, a significant portion of the treasury, to ZK-related efforts.

Polygon is now home to an unrivaled collection of ZK efforts. The portfolio includes a zkEVM being developed by Polygon Hermez, privacy-focused Polygon Nightfall rollup built in collaboration with EY, Polygon Miden’s general purpose STARK-based rollup and Polygon Zero team applying a technique called recursion to ZK proofs.

“Adoption by individual users and enterprises, the emergence of real-world applications like DeFi and NFTs, and broader involvement from the institutional community are all strong indicators that Web3 has passed a major installation milestone and is here to stay,” Galaxy Digital CEO Mike Novogratz said. “Together, Polygon and Ethereum are building the base layer for a new Internet, which is why we’re excited to play a role in this important fundraise.”

Fintech

How to identify authenticity in crypto influencer channels

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Modern brands stake on influencer marketing, with 76% of users making a purchase after seeing a product on social media.The cryptocurrency industry is no exception to this trend. However, promoting crypto products through influencer marketing can be particularly challenging. Crypto influencers pose a significant risk to a brand’s reputation and ROI due to rampant scams. Approximately 80% of channels provide fake statistics, including followers counts and engagement metrics. Additionally, this niche is characterized by high CPMs, which can increase the risk of financial loss for brands.

In this article Nadia Bubennnikova, Head of agency Famesters, will explore the most important things to look for in crypto channels to find the perfect match for influencer marketing collaborations.

 

  1. Comments 

There are several levels related to this point.

 

LEVEL 1

Analyze approximately 10 of the channel’s latest videos, looking through the comments to ensure they are not purchased from dubious sources. For example, such comments as “Yes sir, great video!”; “Thanks!”; “Love you man!”; “Quality content”, and others most certainly are bot-generated and should be avoided.

Just to compare: 

LEVEL 2

Don’t rush to conclude that you’ve discovered the perfect crypto channel just because you’ve come across some logical comments that align with the video’s topic. This may seem controversial, but it’s important to dive deeper. When you encounter a channel with logical comments, ensure that they are unique and not duplicated under the description box. Some creators are smarter than just buying comments from the first link that Google shows you when you search “buy YouTube comments”. They generate topics, provide multiple examples, or upload lists of examples, all produced by AI. You can either manually review the comments or use a script to parse all the YouTube comments into an Excel file. Then, add a formula to highlight any duplicates.

LEVEL 3

It is also a must to check the names of the profiles that leave the comments: most of the bot-generated comments are easy to track: they will all have the usernames made of random symbols and numbers, random first and last name combinations, “Habibi”, etc. No profile pictures on all comments is also a red flag.

 

LEVEL 4

Another important factor to consider when assessing comment authenticity is the posting date. If all the comments were posted on the same day, it’s likely that the traffic was purchased.

 

2. Average views number per video

This is indeed one of the key metrics to consider when selecting an influencer for collaboration, regardless of the product type. What specific factors should we focus on?

First & foremost: the views dynamics on the channel. The most desirable type of YouTube channel in terms of views is one that maintains stable viewership across all of its videos. This stability serves as proof of an active and loyal audience genuinely interested in the creator’s content, unlike channels where views vary significantly from one video to another.

Many unauthentic crypto channels not only buy YouTube comments but also invest in increasing video views to create the impression of stability. So, what exactly should we look at in terms of views? Firstly, calculate the average number of views based on the ten latest videos. Then, compare this figure to the views of the most recent videos posted within the past week. If you notice that these new videos have nearly the same number of views as those posted a month or two ago, it’s a clear red flag. Typically, a YouTube channel experiences lower views on new videos, with the number increasing organically each day as the audience engages with the content. If you see a video posted just three days ago already garnering 30k views, matching the total views of older videos, it’s a sign of fraudulent traffic purchased to create the illusion of view stability.

 

3. Influencer’s channel statistics

The primary statistics of interest are region and demographic split, and sometimes the device types of the viewers.

LEVEL 1

When reviewing the shared statistics, the first step is to request a video screencast instead of a simple screenshot. This is because it takes more time to organically edit a video than a screenshot, making it harder to manipulate the statistics. If the creator refuses, step two (if only screenshots are provided) is to download them and check the file’s properties on your computer. Look for details such as whether it was created with Adobe Photoshop or the color profile, typically Adobe RGB, to determine if the screenshot has been edited.

LEVEL 2

After confirming the authenticity of the stats screenshot, it’s crucial to analyze the data. For instance, if you’re examining a channel conducted in Spanish with all videos filmed in the same language, it would raise concerns to find a significant audience from countries like India or Turkey. This discrepancy, where the audience doesn’t align with regions known for speaking the language, is a red flag.

If we’re considering an English-language crypto channel, it typically suggests an international audience, as English’s global use for quality educational content on niche topics like crypto. However, certain considerations apply. For instance, if an English-speaking channel shows a significant percentage of Polish viewers (15% to 30%) without any mention of the Polish language, it could indicate fake followers and views. However, if the channel’s creator is Polish, occasionally posts videos in Polish alongside English, and receives Polish comments, it’s important not to rush to conclusions.

Example of statistics

 

Wrapping up

These are the main factors to consider when selecting an influencer to promote your crypto product. Once you’ve launched the campaign, there are also some markers to show which creators did bring the authentic traffic and which used some tools to create the illusion of an active and engaged audience. While this may seem obvious, it’s still worth mentioning. After the video is posted, allow 5-7 days for it to accumulate a basic number of views, then check performance metrics such as views, clicks, click-through rate (CTR), signups, and conversion rate (CR) from clicks to signups.

If you overlooked some red flags when selecting crypto channels for your launch, you might find the following outcomes: channels with high views numbers and high CTRs, demonstrating the real interest of the audience, yet with remarkably low conversion rates. In the worst-case scenario, you might witness thousands of clicks resulting in zero to just a few signups. While this might suggest technical issues in other industries, in crypto campaigns it indicates that the creator engaged in the campaign not only bought fake views and comments but also link clicks. And this happens more often than you may realize.

Summing up, choosing the right crypto creator to promote your product is indeed a tricky job that requires a lot of resources to be put into the search process. 

Author Nadia Bubennikova, Head of agency  at Famesters

Author

Nadia Bubennikova, Head of agency at Famesters

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Fintech

Central banks and the FinTech sector unite to change global payments space

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The BIS, along with seven leading central banks and a cohort of private financial firms, has embarked on an ambitious venture known as Project Agorá.

Named after the Greek word for “marketplace,” this initiative stands at the forefront of exploring the potential of tokenisation to significantly enhance the operational efficiency of the monetary system worldwide.

Central to this pioneering project are the Bank of France (on behalf of the Eurosystem), the Bank of Japan, the Bank of Korea, the Bank of Mexico, the Swiss National Bank, the Bank of England, and the Federal Reserve Bank of New York. These institutions have joined forces under the banner of Project Agorá, in partnership with an extensive assembly of private financial entities convened by the Institute of International Finance (IIF).

At the heart of Project Agorá is the pursuit of integrating tokenised commercial bank deposits with tokenised wholesale central bank money within a unified, public-private programmable financial platform. By harnessing the advanced capabilities of smart contracts and programmability, the project aspires to unlock new transactional possibilities that were previously infeasible or impractical, thereby fostering novel opportunities that could benefit businesses and consumers alike.

The collaborative effort seeks to address and surmount a variety of structural inefficiencies that currently plague cross-border payments. These challenges include disparate legal, regulatory, and technical standards; varying operating hours and time zones; and the heightened complexity associated with conducting financial integrity checks (such as anti-money laundering and customer verification procedures), which are often redundantly executed across multiple stages of a single transaction due to the involvement of several intermediaries.

As a beacon of experimental and exploratory projects, the BIS Innovation Hub is committed to delivering public goods to the global central banking community through initiatives like Project Agorá. In line with this mission, the BIS will soon issue a call for expressions of interest from private financial institutions eager to contribute to this ground-breaking project. The IIF will facilitate the involvement of private sector participants, extending an invitation to regulated financial institutions representing each of the seven aforementioned currencies to partake in this transformative endeavour.

Source: fintech.globa

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TD Bank inks multi-year strategic partnership with Google Cloud

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TD Bank has inked a multi-year deal with Google Cloud as it looks to streamline the development and deployment of new products and services.

The deal will see the Canadian banking group integrate the vendor’s cloud services into a wider portion of its technology solutions portfolio, a move which TD expects will enable it “to respond quickly to changing customer expectations by rolling out new features, updates, or entirely new financial products at an accelerated pace”.

This marks an expansion of the already established relationship between TD Bank and Google Cloud after the group previously adopted the vendor’s Google Kubernetes Engine (GKE) for TD Securities Automated Trading (TDSAT), the Chicago-based subsidiary of its investment banking unit, TD Securities.

TDSAT uses GKE for process automation and quantitative modelling across fixed income markets, resulting in the development of a “data-driven research platform” capable of processing large research workloads in trading.

Dan Bosman, SVP and CIO of TD Securities, claims the infrastructure has so far supported TDSAT with “compute-intensive quantitative analysis” while expanding the subsidiary’s “trading volumes and portfolio size”.

TD’s new partnership with Google Cloud will see the group attempt to replicate the same level of success across its entire portfolio.

Source: fintechfutures.com

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