Originally known as the American Messenger Company specializing in telegraphs, UPS has grown to become a Fortune 500 company and one of the world&#x27;s largest shipping couriers. UPS today is primarily known for its ground shipping services as well as the UPS Store, a retail chain which assists ...

United Parcel Service - Wikipedia

Figures show that more new businesses were established in Bedfordshire during 2023 than in the previous year – making the county one of the most successful in the UK.

Successful Year For Company Start-Ups In Bedfordshire

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Company start-ups in Lancashire hit record high

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UPS | LinkedIn

United Parcel Service (UPS), American package and document delivery company operating worldwide. Its dark brown trucks have become a familiar sight on the streets of many cities. Corporate headquarters are in Sandy Springs, Georgia.

United Parcel Service (UPS) | History & Facts | Britannica

The United Parcel Service, or UPS, is the world’s largest package delivery company with more than 495,000 employees connecting more than 220 nations. Founded in Seattle in 1907 as the American Messenger Co., today’s UPS delivers approximately 5.5 billion packages annually through its 500-plus ...

United Parcel Service, Inc. (UPS) Company Profile, News, Rankings ...

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UPOS

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got an update, and you can now you set up with Amazon OpenSearch Service. But what does this even mean? Many people don't even know what OpenSearch is! Wasn't there an Elasticsearch service before? So, let's have some explanation before we check out Dashbirds OpenSearch support. Dashbird monitor the OpenSearch clusters Elastic and AWS Disagreed on Fair Use of Elasticsearch After a heated argument between Elastic, the main contributor to the Elasticsearch (ES) project, and AWS. Elastic then changed the ES license to prohibit AWS from offering their Amazon Elasticsearch Service. Since the ES versions previous to that change were still under the old Apache 2.0 license, AWS created a fork from these and called it OpenSearch (OS). Two companies disagreed on some software they implemented, and each one went on with their vision for that project. So, OS is merely a fork of ES, and these two open-source projects will probably diverge in the future in terms of compatibility and features. To put it simply: In terms of managed search services, AWS deprecated Amazon Elasticsearch Service, and Amazon OpenSearch Service (AOS) is the way to go. What is OpenSearch? OS is a search engine, just like Google or Bing, but for your own data. It will index your data and make it searchable via an HTTP interface. You can download OS and set it up on whatever computer you like. Install it on your local machine, set up an EC2 instance on AWS and install it there, or let AWS help you run it with the AOS. Get the full size infographic from . here OpenSearch vs. Elasticsearch They are pretty similar, but each one is on a different trajectory. Some developers aren't happy with AWS treating Elastic the way they did. Others say switching to a less permissive license isn't the open-source way, and while they don't like how AWS might have treated Elastic, they think the Apache 2.0 license is the way to go if things should stay open. If you want to use a managed, ES-like system on AWS, you either have to use older versions of ES or OS. What is Amazon OpenSearch Service? First, while AOS is a managed service, it's not serverless; you have to pay for idle servers. But what is AOS actually? AOS is the service on AWS that manages OS deployments for you. Like RDS is for relational databases, EKS is for Kubernetes clusters, and Elasticsearch Service is for ES, so is AOS for OS. While AOS is an excellent help to get OS running in the cloud, ES and, in turn, OS is notoriously hard to set up and scale. So hard that no serverless versions of them exist. While AOS isn't that easy to use, it's still simpler than managing your OS instances manually. AOS helps with scaling clusters, deploying VMs, and managing the underlying network and storage for you. It will also install bug fixes. If you need a cloud-based search engine for your project, you might not get around messing with OS and AOS. Amazon OpenSearch Service vs. Cloudwatch Log Insights When you deploy your infrastructure to the cloud, chances are most of the data you generate is operational logs. If you want to ease the access of these logs for the ops team, you might be inclined to pump them into AOS. But this can get costly. As mentioned above, AOS isn't a serverless system, so you pay for every hour it's deployed, even if you don't use it. This unused capacity could lead to a massive bill for nothing regarding operational monitoring data. Cloudwatch Log Insights is a managed service on top of Cloudwatch logs and, in turn, optimized for this exact use-case. It scales automatically, and you only have to pay for the data you analyze, so it can be considered a serverless service. AOS is a more low-level service you use if you need maximum flexibility. It costs more and isn't easy to scale, but it gives you all the freedom you need for a customized search engine. Amazon OpenSearch Service in Serverless Architectures As explained before, AOS isn't a serverless service. It can help with scaling, but it doesn't go down to zero, so you will pay for the underlying EC2 instances idling. This makes integrating AOS into your architecture a hard choice. But a hard choice between which options? If money is tight, or you believe that a system should scale to zero for whatever reason, you have to ask yourself what your search requirements are. AOS is the nuclear option here; it's a Lucene-based distributed search engine that finds everything you indexed with Google-like features like fuzzy matching and such. But if your search requirements aren't that strong, . Your results may vary and won't be on OpenSearch levels, but it might be just enough for a simple search feature. But most importantly, you don't pay for idle EC2 instances. you might get away with DynamoDB's query features Setting Up OpenSearch on AWS As said before, there are different methods of setting up OS on AWS, but we will go with the easiest here. Using the CDK, we will set up an AOS domain in just a few lines of code. Keep in mind this example taken from the CDK docs will deploy a production-ready OS cluster containing instances, which can get expensive quickly. 25 m3.medium const aosDomain = new opensearch.Domain(this, 'AosDomain', {

version: opensearch.EngineVersion.OPENSEARCH_1_0,

capacity: {masterNodes: 5, dataNodes: 20},

ebs: {volumeSize: 20},

zoneAwareness: {availabilityZoneCount: 3},

logging: {

slowSearchLogEnabled: true,

appLogEnabled: true,

slowIndexLogEnabled: true,

},

}); Coming from ES, you might have heard about a cluster and how it's made up of one or more nodes. An AOS domain is such a cluster, plus all the things around running such a cluster that AOS takes care of for you. Like networking, updates, resource allocation, etc. We must use the correct engine version to get an OS cluster because AOS also supports legacy ES clusters. The nodes are EC2 instances of the default instance type . m3.medium.search We use five master nodes, which means there will be one master and five master-eligible nodes which can take the place of the master if something goes wrong. We also use twenty data nodes, which will be used to store all the index shards (i.e., the actual data) of our cluster. Each of these data nodes will get a 20 GiB elastic block storage. The zone awareness makes sure AOS will deploy our 25 EC2 instances across three availability zones. This way, the cluster won't go down if one zone becomes unavailable. The logging config makes sure that queries and indices that perform poorly are logged so that when the cluster runs for some time, you get a feeling for the bottlenecks. OpenSearch Monitoring with Dashbird With the newest update to , all AOS domains will be automatically picked up in your Dashbird inventory. Dashbird This update , with all the related to your domains. Including, but not limited to, the utilization of the different node types and the query latency. gives you a dashboard out of the box health metrics While this is an excellent start to assess the status of your existing clusters in the context of their history, more interesting are the . well-architected Dashbird insights The insights are periodical checks based on the AWS Well-Architected Framework. This means they test your AOS domains for best practices and notify you if you're not following them. The insights also include some recurring checks for the availability and usage of your AOS domains. After all, you have to pay for them if they're deployed, and if they are never used, you might as well decommission them to save a few dollars. Summary OS is the search engine software that AWS will use from now on. If you want to stay with ES, you either have to use an older version or deploy your cluster manually with EC2, ECS, or EKS. But rest assured that Dashbird got your back with that new ES fork. So, you will stay on top of things with monitoring metrics and well-architected insights for your AOS domains.

OpenSearch From a Serverless Perspective

This is an example of an audio data analysis by 2D CNN We can consider a mel spectrogram as an image, classification predictions can be performed by CNN with sound data. Instead of mixing the time and the frequency axes together, we will only convolve one axis at a time. First and foremost, let's make sure that the libraries are all set up os, shutil numpy np pandas pd librosa librosa.display matplotlib.pyplot plt sklearn.model_selection train_test_split IPython.display ipd import import as import as import import import as from import import as We set the sampling rate to 8820 Hz, and retrieve all the data and save models during learning to model_dir variable. Simply retrieve the audio data from kaggle (it can be anything from nature sound, clapping sound, etc. ) s_rate = 8820
n_fft = 1024
hop_length = 128
n_mels = 128 base_dir = './'
esc_dir = os.path.join(base_dir, 'ESC3')
meta_file = os.path.join(esc_dir, 'meta/esc3.csv')
audio_dir = os.path.join(esc_dir, 'audio/')
model_file = 'esc3-model-sr{}.h5'.format(s_rate) pd.options.display.max_columns=999
pd.options.display.max_rows=999 # sampling rate # define directories # To show more rows and columns without "..." Read the meta file meta_data = pd.read_csv(meta_file, delimiter= , skiprows= , header= )
print(meta_data.shape)
display(meta_data.head()) # load metadata ',' 0 0 tgt_vc = meta_data[ ].value_counts()
n_classes = len(tgt_vc.index)
display(tgt_vc)

meta_data[ ] = meta_data[ ].replace(tgt_vc.index, list(range(n_classes)))
display(meta_data.head())

cat = meta_data[ ]
classes = [] i range(n_classes):
    sel = cat[meta_data[ ]==i].reset_index(drop= )
    classes.append(sel[ ])
print(classes) 'target' 'target' 'target' 'category' for in 'target' True 0 Replace the each category ID (target column) with a serial number starting from 0. In addition, create a list named classes for replacing serial numbers  with class names. file_path = os.path.join(audio_dir, file_name)
    x, fs = librosa.load(file_path, sr=s_rate) x,fs # load a wave data : def load_wave_data (audio_dir, file_name) return Function for loading wav files. x: audio data converted to ndarray. fs: Sampling frequencies. stft = np.abs(librosa.stft(x, n_fft=n_fft, hop_length=hop_length))** melsp = librosa.feature.melspectrogram(S=stft, sr=sr, n_mels=n_mels)
    log_melsp = librosa.power_to_db(melsp) log_melsp # change wave data to mel-stft : def calculate_melsp (x, sr, n_fft= , hop_length= , n_mels= ) 1024 128 128 2 #print(log_melsp[:3])  # debug return This is a function for creating mel spectogram. Before calculating the melspectogram, take the absolute value of short-time fourier transform with librosa library (stft) and return complext matrix. librosa.power_to_db() is simply transform power spectrum to dB units. To be continued in the second post...

Classification using Neural Network with Audio Data

In 2018, the initial coin offering (ICO) as we knew it in 2017 was pronounced dead several times. While the ICO gold rush definitely helped increase the cryptocurrency market capitalization; the project valuations, hype, pump and dumps, scam projects and ICO project’s/company’s un-accountability attributed to the industry’s damaged reputation. Having invested in a great deal of ICOs, I would like to see a shift in funding method as the traditional utility token-based ICO is not beneficial to individual investors anymore. Especially in this continuing bear market, the risk of investing in an ICO is almost never worth it for individual investors, who are usually served last when it comes to buying tokens. Binance launchpad Last week, something slightly unexpecting happened. People got excited about an ICO again. The marketing efforts of , founder and CEO of the TRON Foundation and , the co-founder and CEO of digital asset exchange Binance, enabled a surge in users trying to purchase BitTorrent tokens (BTT) on Binance re-introduced token sale launchpad. BitTorrent was the token sale that launched on Binance after TRON, Bread and Gifto all successfully conducted their public sale on the digital asset exchange dedicated token sale launchpad. According to Binance, the launchpad is an exclusive token launch platform, and they are right. It is exclusive as we could see with their most recent BitTorrent (BTT) token sale. Only 962 were able to get in because the platform faced continuous errors and defaults during the 15-minute-long flash token sale. The token sale could have sold out in seconds, had it functioned properly. BTT launched on Binance just two days after the token sale, establishing a 4x ROI for investors selling on the first day after the launch on the exchange. Justin Sun Changpeng Zhou While the re-launch of the Binance launchpad was successful for the digital asset exchange, in my opinion, this is not a good way to continue for the majority of Binance users. The launchpad will pretty much only make Binance and the ICO project richer while individual investors, that hold on to the token for too long or buy the top are most likely being dumped on sooner, rather than later. One of the things I would like to see them change is making a shift to a more fair distribution scheme. For instance, set a maximum cap per participant. By the amount of KYC applicants, they might be able to give a rough estimate of token sale investors. There were a lot of disappointed people after the BTT token sale. The first-click, first-serve format leaves too much to just luck of clicking at the right time, so they might want to change that to give more people a chance of actually buying tokens on the launchpad. On February 1st, Binance announced the Public Sale of Fetch.AI tokens will be launched on its launchpad on February 25. Interested investors that want to participate in the sale need to apply KYC first. As usual, some countries are excluded from the sale. Fetch architecture according to the whitepaper Fetch.AI Fetch (FET) proposes an open-source distributed ledger technology framework that is comprised of three architectural layers. Layer one is reserved for the digital entities called Autonomous Economic Agents (AEA). These agents are third-party implementations. Agents live in the second layer’s Open Economic Framework (OEF). To support the digital world, Fetch introduces a scalable smart ledger, in layer three, that provides collective superpowers to support agents’ individual power. Layer two and three form a network node. All three layers support Machine Learning (ML) and Artificial Intelligence (AI) functionality. Fetch’s distributed ledger project is initially open-source and permissionless, but it can be permissioned if needed. For instance, delicate healthcare or IoT data is best suited to be processed on a permissioned blockchain. Two of Fetch’s proprietary features are its useful proof of stake (uPoS) consensus system and a high-performance machine learning oriented virtual machine. Fetch is working on solutions for the transport sector, the supply chain industry and the energy market. Fetch.ai is a project of venture capital firm Outlier Ventures, that is managed by CEO Jamie Burke, that is also one of the project's advisors. In March of 2018, Outlier Ventures its newest venture, Fetch AI. At the time it had been in for 14 months. The core team has been working on the project for two years now. announced stealth mode Partnerships - Fetch is a founding partner of the Blockchain for Europe association. Other members are Ripple, NEM and the Cardano Foundation. The goal of the partnership is to foster the understanding of upcoming regulations in the DLT and blockchain industry in Europe. - UK-based, online sharing platform for scientists, , engaged in a transformational scientific equipment venture with Fetch. Clustermarket will be one of the first platforms to deploy autonomous economic agents and thus demonstrate a primary use of the network, maximizing the value of the asset. According to , Clustermarket has raised 250,000 GBP in two previous funding rounds. The company is comprised of four employees. Clustermarket CrunchBase - Other partners include: Mobility Open Blockchain Initiative, MOBI, Warwick Business School (WBS), TokenMarket and ULedger. Tokenomics According to the token overview paper on the website, a total of 1,152,997,575, ERC-20 based FET tokens will be minted. The pubic sale was initially planned for Q3/Q4 2018. Only 20% of the tokens will be available for the private and public token sale. At this moment, it is unsure if all the Public sale tokens will be offered at Binance’s launchpad. The amount of money that is being raised in the initial fundraising round is $30 million, for the previously mentioned 20% of total tokens, which means a fully diluted market cap of $150 million, which in this market seems a bit outrageous to me, for a utility token offering. Another thing worth mentioning is that the team consists of 33 people, according to the fetch.ai website (38 according to ), of which they state three co-founders. A total of 20% of the tokens is allocated to the founders. They have a vesting scheme that will last for 3 years with an evenly unlocked token amount each year, starting after the first year. Five advisors are listed on the website. Advisors are allocated 10% of the total token supply, following the same vesting period of three years. LinkedIn I suspect with a team of 33 people the monthly burn rate will be very high. The Binance labs showed Fetch liquidated some ETH SAFT funds into GBP, at a rate that was much lower than the amount raised converted into GBP at the time of conducting the private sale. report If they manage to raise their intended hardcap they could go on for a few years, but I am curious to know how they intend to survive in the long run. What is their business strategy? How will they ensure continuity? Roadmap The initial roadmap estimated the mainnet launch in the summer of 2019. In the updated version the mainnet launch has been set back to the end of 2019. Old roadmap Fetch AI Updated most accurate roadmap Fetch.ai legal disclaimer The posted on the website states very clearly that by purchasing Fetch Tokens you will get absolutely no rights of any sorts. That’s important to know because a case of bad management or poor business decisions will not give you any recall or complain options. legal disclaimer They basically tell you to do your own research, before investing, they are not implying you should buy their tokens, investors should take into account that the token might depreciate in price, and they will not be liable before, during and after you buy FET tokens. Smart contract In the past, there were some allegations against the fact that Fetch did not have a smart contract while conducting their ICO private sale. Cryptocurrency advocate Filip Poutintsev wrote about it in two . Fetch has since come up with a smart contract that has been audited and deemed safe by smart contract auditor . Medium articles Hosho Smart contract audit by Hosho: https://token.fetch.ai/publications/hosho_smart_contract_audit_report.pdf ICO pools for Fetch AI Fetch started their private sale in April of 2018. During a time that the investor's interest in ICOs was quickly decreasing. A lot of ICO pools offered Fetch on their platform. Many pools did not succeed in raising the allocated amount in ETH, due to bearish market conditions and a lack of interest in investing in an ICO. Winterwolves Fiat Dave Cryptopools Participation capital managed to raise 1,000 ETH in exchange for FET, at a 33% and 25% bonus. All pooled funds have a lockup period, which means that private sale pool participants will not be able to sell their tokens on the exchange if FET tokens are launched on Binance or another exchange soon after the launchpad token sale (keep the initial supply low, right). Concluding remarks When BitTorrent initiated their ICO on the Binance launchpad, for a second (or 15 minutes) following the process took me back to those exciting times in 2017 when ICO investing was a highly competitive industry, that was often based on good preparation and a large dash of luck. However, I don’t think that ICO investing will ever become a big thing again, and I hope it won’t because it will not bring value to the industry, if anything it has a pretty destructive nature, because of the lack of accountability. Pros: - They have a large team of industry professionals and are backed by a well-connected VC-firm - Launch on Binance launchpad, which attracts the majority of individual token sale investors - They allow the smaller investors to be able to invest in their project, not only available for institutional investors - Higher probability of listing on Binance, which will benefit the token liquidity, if Binance continuous to be a top volume exchange Cons: - Fetch proposes a very high valuation ($ 150 million) on a fully diluted basis - They are not liable in any way shape or form after purchasing Fetch Tokens, according to the legal disclaimer - Very low initial supply, great for price manipulation, thus high risk Personally I will not be investing in this ICO. The traditional ICO conducted in this way has no long-term viability in my opinion. For small time individual investors, the risks are too high, under these bearish market conditions. I do however think this ICO can perform well after it is listed on Binance during the first few days. My guess is that after a few days the hype will fade away and the token price will be decreasing at a rapid pace. The mainnet is set to launch in Q4 of 2019, so there is not much, besides new exchange listings and the announcement of interesting partnerships to hold up the price. I think this project is in line with some other projects that are competing for a slice of the cryptocurrency market pie, but I have yet to discover something that sets it apart from the other projects. The project is still in its test-phase and in this phase, the uPoS consensus method has not been tested yet on a large scale. I am curious to know why Binance decided to launch Fetch on their launch pad. Maybe the low initial supply, as Binance’s CEO stated he liked in a recent . Tweet Final remarks The overall conclusion as to why I will not be investing in this ICO: — This ICO has been in execution phase for almost a year, first private sale, soon to be public sale. Private sale investors have a lockup and a bonus of 33% or 25%. — The private sale didn’t attract many investors, the team is about six months behind on their initial roadmap, mainnet is planned for EOY. In the meantime other than exchange listings and partnerships probably not much news. — The project might run out of funds soon if the token becomes illiquid or doesn’t raise additional funds, as 85% of private sale SAFT funds have already been converted into fiat currency (approximately $3.5 million). A large staff that needs to be paid, estimated burn rate between $200k and $500k a month.  — Only 20% of the total tokens will be offered in the token sale, 11.62% in the private sale (locked), which leaves 8.38% for the public sale. Fully diluted, the market cap is too high for an ICO that has no liability to its investors. What are your thoughts on Fetch.ai? Do you think it will perform well? Please let me know any remarks or questions in the comment box below. Website: https://fetch.ai/#/ Smart contract audit by Hosho: https://token.fetch.ai/publications/hosho_smart_contract_audit_report.pdf Fetch Technical paper: https://fetch.ai/uploads/technical-introduction.pdf Fetch bluepaper: https://fetch.ai/public/pdf/Fetch-Token-Overview.pdf Disclaimer : I would like to state that I am not being rewarded or incentivized to write this project overview of Fetch.ai. This article is not intended as investment advice. You should always do your own research. All the information provided in this article is based on my own personal opinion. During these challenging market conditions I strongly urge everyone to thoroughly research projects to potentially invest in. If you do decide you want to invest, only invest money you can afford to lose. If you like my content about blockchain and cryptocurrencies, you can give me a follow. I also have an account on and . You are welcome to follow me there as well. On my page you will find a bit more personal information. You can ask me questions on Telegram: @LindaCrypto. Steemit Twitter LinkedIn I hope you have enjoyed this article, and please comment in the allocated section below if you have any further questions. Thank you! LindaCrypto

Fetch.AI: a Project Overview of the Next ICO on Binance’s Launchpad

Roll-ups: Here's Why It's The Ultimate Solution To The Blockchain Scalability Issue 

Cybercrimes are increasing at an accelerated rate. To put things into perspective, by 2025, the cost of cybercrime is predicted to hit a whopping $10.5 trillion annually. Statistics like these demand a significant need to enhance the data security posture in organizations across the globe. However, several obstacles affect the adoption of a robust data security framework, such as multi-cloud complexities, data and AI laws, and the limited capabilities of existing data detection and response, data loss prevention, and similar tools. Data Security Posture Management (DSPM) is a critical discipline that turns an organization’s focus from an infrastructure-first to a data-first approach to cyber security. This blog will discuss DSPM and the key capabilities and factors to consider when buying a solution for your data security needs. What is Data Security Posture Management (DSPM)? DSPM stands for Data Security Posture Management. Gartner coined the term DSPM a few years back in its Hype Cycle report. Gartner highlighted the need for enhanced data security measures or approaches to help prevent the growing instances of data breaches and overcome the complexities of multi-cloud that lead to those breaches. As mentioned earlier, DSPM is a data-centric approach to data security, be it for on-premises data stores, SaaS services, or hybrid multi-cloud environments. The solutions provide detailed insights into the existence and location of sensitive data across the environment, who accesses it or how it is accessed, and the security posture of the application or data stores where it resides. Core Capabilities of DSPM Organizations seeking the right DSPM solution to reinforce their data security strategy must recognize that not all solutions are created equal. In 2024, GigaOm released its first-ever assessment of DSPM in its Radar report. The research firm highlighted some key capabilities that must be fundamentally available in a robust DSPM solution. Let’s take a look at those capabilities. Data Discovery Data security starts with gaining visibility of all data assets across an organization, including its on-premise data stores, SaaS services, and other cloud environments, leaving no stone unturned. The DSPM solution helps an organization do that by automatically discovering its structured and unstructured data assets. Data Classification DSPM solutions automatically scan environments to identify and classify sensitive data based on its business value, regulatory requirements, and other industry-specific policies upon discovering data assets. Data classification is a critical process that helps organizations set appropriate controls and prioritize their most sensitive data. Data Flow Data movement across an organization's various systems, data stores, and applications is dynamic. Teams must visualize and understand the data flow across systems to evaluate its privacy and security controls. DSPM helps visually illustrate the data movement, enabling teams to trace the transformation of data and the associated risks. Risk Assessment Another critical feature of a DSPM solution is that it gives teams insights into the risks through a thorough assessment. DSPM continuously monitors the environments for various vulnerabilities, assigns risk ratings, and helps teams prioritize remediation. Data Access Governance One critical threat to sensitive data is excessive privileges that lead to unauthorized access or inadvertent exposure. DSPM leverages access insights and IAM integrations to help organizations gain visibility of data access and risks and set up appropriate access policies and controls based on users, roles, and permissions. It further paves the way to the principle of least privilege (PoLP). Security Controls Apart from access governance, DSPM further enables organizations to place appropriate security controls based on the classification of data and its relevant risk scores. Such controls may include data encryption at rest or in motion, dynamic data masking for secure sharing practices, etc. DSPM also helps automate the security controls across the environments to minimize the risk of human error. Data Lineage From data ingestion to retention, data transformation occurs continuously and rapidly. Tracking such transformation across its lifecycle becomes difficult when handling data at the petabyte scale. DSPM allows organizations to overcome this challenge by tracking the changes over time. Breach Response DSPM solutions are well-equipped to respond to data breaches as soon as they are detected. The tool leverages breach impact insights, such as the volume of data impacted, the affected identities, and the relevant regulatory requirements. These insights help the tool to automatically isolate the impacted systems, revoke access permissions on compromised data, and initiate the notification process. Enterprise Stack Integration DSPM shouldn't be just another siloed integration among other tools. In fact, it should offer a unified approach to data security by seamlessly integrating with the existing security stack. This key operational factor ensures that workflows remain seamless and the organization can maximize the security stack's value. Secure AI Like many other technologies, DSPM tools had to respond to AI's growing adoption and its unprecedented risks. The OWASP Top 10 for LLM Applications feature the top-most critical risks that could compromise the AI systems development lifecycle, resulting in legal fines, compliance violations, and reputational loss. Hence, advanced DSPM solutions must offer much-needed capabilities like data sanitization and redaction or LLM firewalls to help organizations safely adopt AI. Important Factors to Consider While keeping in mind the aforementioned capabilities, organizations should also consider the following factors when looking for a robust DSPM solution. Agentless Discovery It is imperative to ensure that the solution offers agentless data discovery across the organization's environment. This capability is necessary to enable fast data discovery and mapping while minimizing deployment complexities. Centralized Dashboard The tool should provide a centralized dashboard that aggregates various metrics and reports, allowing teams to simplify monitoring and provide real-time insights to stakeholders. Continuous Detection and Prioritization of Critical Data Exposure The solution should identify the most critical threats to the organization's security posture and implement immediate remediation controls. Data Lineage Mapping The tool should further offer data lineage capabilities, providing organizations with visibility into the transformation of their sensitive data over time. By tracking the data's lineage across its lifecycle, security teams can better understand the security gaps and thus establish optimized controls and policies. Automated Remediation DSPM tools should allow security teams to respond automatically to security incidents when they occur. This capability is essential in ensuring the integrity and confidentiality of the data. Scalability and Performance Lastly, organizations with hyper-scale environments should look for a DSPM tool that scales to accommodate the needs of their rapidly growing data. Cybercrimes are increasing at an accelerated rate. To put things into perspective, by 2025, the cost of cybercrime is predicted to hit a whopping $10.5 trillion annually. Statistics like these demand a significant need to enhance the data security posture in organizations across the globe. Cybercrimes are increasing at an accelerated rate. To put things into perspective, by 2025 , the cost of cybercrime is predicted to hit a whopping $10.5 trillion annually. Statistics like these demand a significant need to enhance the data security posture in organizations across the globe. 2025 2025 However, several obstacles affect the adoption of a robust data security framework, such as multi-cloud complexities, data and AI laws, and the limited capabilities of existing data detection and response, data loss prevention, and similar tools. However, several obstacles affect the adoption of a robust data security framework, such as multi-cloud complexities, data and AI laws, and the limited capabilities of existing data detection and response, data loss prevention, and similar tools. Data Security Posture Management ( DSPM ) is a critical discipline that turns an organization’s focus from an infrastructure-first to a data-first approach to cyber security. DSPM DSPM This blog will discuss DSPM and the key capabilities and factors to consider when buying a solution for your data security needs. What is Data Security Posture Management (DSPM)? DSPM stands for Data Security Posture Management . Gartner coined the term DSPM a few years back in its Hype Cycle report. Gartner highlighted the need for enhanced data security measures or approaches to help prevent the growing instances of data breaches and overcome the complexities of multi-cloud that lead to those breaches. Data Security Posture Management As mentioned earlier, DSPM is a data-centric approach to data security, be it for on-premises data stores , SaaS services, or hybrid multi-cloud environments. The solutions provide detailed insights into the existence and location of sensitive data across the environment, who accesses it or how it is accessed, and the security posture of the application or data stores where it resides. data stores data stores Core Capabilities of DSPM Organizations seeking the right DSPM solution to reinforce their data security strategy must recognize that not all solutions are created equal. In 2024, GigaOm released its first-ever assessment of DSPM in its Radar report . The research firm highlighted some key capabilities that must be fundamentally available in a robust DSPM solution. Let’s take a look at those capabilities. GigaOm released its first-ever assessment of DSPM in its Radar report Data Discovery Data security starts with gaining visibility of all data assets across an organization, including its on-premise data stores, SaaS services, and other cloud environments, leaving no stone unturned. The DSPM solution helps an organization do that by automatically discovering its structured and unstructured data assets. Data Classification DSPM solutions automatically scan environments to identify and classify sensitive data based on its business value, regulatory requirements, and other industry-specific policies upon discovering data assets. Data classification is a critical process that helps organizations set appropriate controls and prioritize their most sensitive data. Data Flow Data movement across an organization's various systems, data stores, and applications is dynamic. Teams must visualize and understand the data flow across systems to evaluate its privacy and security controls. DSPM helps visually illustrate the data movement, enabling teams to trace the transformation of data and the associated risks. Risk Assessment Another critical feature of a DSPM solution is that it gives teams insights into the risks through a thorough assessment. DSPM continuously monitors the environments for various vulnerabilities, assigns risk ratings, and helps teams prioritize remediation. Data Access Governance One critical threat to sensitive data is excessive privileges that lead to unauthorized access or inadvertent exposure. DSPM leverages access insights and IAM integrations to help organizations gain visibility of data access and risks and set up appropriate access policies and controls based on users, roles, and permissions. It further paves the way to the principle of least privilege (PoLP). Security Controls Apart from access governance, DSPM further enables organizations to place appropriate security controls based on the classification of data and its relevant risk scores. Such controls may include data encryption at rest or in motion, dynamic data masking for secure sharing practices, etc. DSPM also helps automate the security controls across the environments to minimize the risk of human error. Data Lineage From data ingestion to retention, data transformation occurs continuously and rapidly. Tracking such transformation across its lifecycle becomes difficult when handling data at the petabyte scale. DSPM allows organizations to overcome this challenge by tracking the changes over time. Breach Response DSPM solutions are well-equipped to respond to data breaches as soon as they are detected. The tool leverages breach impact insights, such as the volume of data impacted, the affected identities, and the relevant regulatory requirements. These insights help the tool to automatically isolate the impacted systems, revoke access permissions on compromised data, and initiate the notification process. Enterprise Stack Integration DSPM shouldn't be just another siloed integration among other tools. In fact, it should offer a unified approach to data security by seamlessly integrating with the existing security stack. This key operational factor ensures that workflows remain seamless and the organization can maximize the security stack's value. Secure AI Like many other technologies, DSPM tools had to respond to AI's growing adoption and its unprecedented risks. The OWASP Top 10 for LLM Applications feature the top-most critical risks that could compromise the AI systems development lifecycle, resulting in legal fines, compliance violations, and reputational loss. Hence, advanced DSPM solutions must offer much-needed capabilities like data sanitization and redaction or LLM firewalls to help organizations safely adopt AI. Important Factors to Consider While keeping in mind the aforementioned capabilities, organizations should also consider the following factors when looking for a robust DSPM solution. Agentless Discovery It is imperative to ensure that the solution offers agentless data discovery across the organization's environment. This capability is necessary to enable fast data discovery and mapping while minimizing deployment complexities. Centralized Dashboard The tool should provide a centralized dashboard that aggregates various metrics and reports, allowing teams to simplify monitoring and provide real-time insights to stakeholders. Continuous Detection and Prioritization of Critical Data Exposure The solution should identify the most critical threats to the organization's security posture and implement immediate remediation controls. Data Lineage Mapping The tool should further offer data lineage capabilities, providing organizations with visibility into the transformation of their sensitive data over time. By tracking the data's lineage across its lifecycle, security teams can better understand the security gaps and thus establish optimized controls and policies. Automated Remediation DSPM tools should allow security teams to respond automatically to security incidents when they occur. This capability is essential in ensuring the integrity and confidentiality of the data. Scalability and Performance Lastly, organizations with hyper-scale environments should look for a DSPM tool that scales to accommodate the needs of their rapidly growing data.

DSPM Buyer’s Guide: Key Factors to Consider

Gamification and the future of culture. Memecoins are cryptocurrency tokens inspired by internet memes. By now, you’ve probably heard of $DOGE coin, the first-ever memecoin launched in 2013 as a joke about Bitcoin. Billy Markus, the co-creator of Doge, sold his holdings for a modest $10,000. Today, the market cap of DOGE is $52 billion. If Billy had held onto his DOGE coins, they’d be worth almost $20 million today. Dare I say, memecoins are here to stay. There are probably hundreds of thousands of unique memecoins in existence today — some have gone to zero, others are dormant, some are still in flux, and a few are seeing steady growth. I have done freelance work in the crypto industry since 2018, but I never fully ventured into memecoins. I thought Bitcoin, a more established cryptocurrency, was volatile enough. When you’re just getting used to the concept of volatile markets and digital, invisible money, diving into something even less established, more volatile, and based on a meme seemed reckless. Why invest in a joke? At the time, it all seemed shady. It took me a few years to truly understand the appeal of memecoins. The surge in Bitcoin that followed Donald Trump’s win in the 2024 presidential election gave me perspective. BTC hit $67,000 on November 5th, 2024. After Trump, a self-proclaimed pro-Bitcoin president, was declared the winner, the price shot up over 39%, currently sitting at $94,000. This is an insane amount of growth — a new all-time high for Bitcoin. As the crypto surge unfolded, I noticed that memecoins were surging alongside Bitcoin. Google trends for crypto-related searches were going up, and people were claiming massive 300x returns on memecoin investments — truly life-changing money. The prices of these alternative coins are incredibly volatile. For example, take $PNUT, which is based on an internet-famous squirrel that was confiscated and euthanized by the New York government. Its price has shot up 1692% since November 4th, after Elon Musk tweeted about the late squirrel, saying, “America was saved by a squirrel and a meme coin!” Of course, the tweet boosted the price even further. I decided to buy some Solana since many memecoins use the Solana blockchain due to its fast transaction speeds. Hundreds of coins are created every minute on the Solana ecosystem. You can easily and quickly send and receive Solana to buy many popular and rising memecoins. I traded, made some money, and lost some too. But I learned something that, perhaps, many already in the trenches of memecoin trading have long known: there is an insane amount of money to be made very quickly with memecoins — along with a ton of risk. Trading these tokens so quickly, tokens that are so widely volatile, is essentially a game. It’s a competition between those with insider knowledge, those without, the holders with the most assets, chart analysts who can buy or sell at the right time, those with proper exit strategies, those using bots and AI to immediately purchase new tokens upon launch, and those who can tell which memes are here to stay and which are fleeting. Memecoin trading is, at its core, about trading memetic culture. To me, this is the future of gaming and finance — an intersection that will be the bedrock of Web3, the future of the internet. Blockchain technology allows for instant transactions and trading of digital assets. This opens up the possibility for the auctioning and trading of in-game assets. I believe that Artificial intelligence will serve as the automation layer to facilitate the development of assets and process transactions. AI will make scouting for tradable items intelligent and efficient — essentially gamifying economics. Gaming will be the activity, AI will be the processing mechanism, and together they will bridge the gap to massive cryptocurrency adoption. In the future, assets and money will be tokenized, and blockchain will facilitate the movement of massive amounts of data, making NFTs more accessible. Gaming is key because people already collect digital assets in video games. If these in-game assets could be traded for currency or used to bid on other tangible and digital items, we’d see a more rapid flow of money throughout the industry and some incredible “gamer to investor” stories. What we’re seeing now are the foundational elements of a world similar to Ready Player One (2018), where the line between the digital and real world is blurred. The world is increasingly gamified. What will this mean for the future? How will people understand culture when trading culture is the future? This is not financial advice, but I urge you to research memecoins and cryptocurrency. The world is being digitized as we speak. I believe the players need to invest and the investors need to play. Is it crazy that we may be witnessing a collision of the serious and the unserious, the comedy meme and the business world? Could this explain the relaxed attire of business moguls due to the influence of tech industry CEOs? Will high fashion and sartorial works be that of memes? Will everything of timelessness become a meme? Is becoming meme the mummification of great ideas? Editor’s note: This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR Gamification and the future of culture. Memecoins are cryptocurrency tokens inspired by internet memes. By now, you’ve probably heard of $DOGE coin, the first-ever memecoin launched in 2013 as a joke about Bitcoin. Billy Markus, the co-creator of Doge, sold his holdings for a modest $10,000. Today, the market cap of DOGE is $52 billion. If Billy had held onto his DOGE coins, they’d be worth almost $20 million today. $DOGE Dare I say, memecoins are here to stay. There are probably hundreds of thousands of unique memecoins in existence today — some have gone to zero, others are dormant, some are still in flux, and a few are seeing steady growth. I have done freelance work in the crypto industry since 2018, but I never fully ventured into memecoins. I thought Bitcoin, a more established cryptocurrency, was volatile enough. When you’re just getting used to the concept of volatile markets and digital, invisible money, diving into something even less established, more volatile, and based on a meme seemed reckless. Why invest in a joke? At the time, it all seemed shady. It took me a few years to truly understand the appeal of memecoins. The surge in Bitcoin that followed Donald Trump’s win in the 2024 presidential election gave me perspective. BTC hit $67,000 on November 5th, 2024. After Trump, a self-proclaimed pro-Bitcoin president, was declared the winner, the price shot up over 39%, currently sitting at $94,000. This is an insane amount of growth — a new all-time high for Bitcoin. As the crypto surge unfolded, I noticed that memecoins were surging alongside Bitcoin. Google trends for crypto-related searches were going up, and people were claiming massive 300x returns on memecoin investments — truly life-changing money. The prices of these alternative coins are incredibly volatile. For example, take $PNUT , which is based on an internet-famous squirrel that was confiscated and euthanized by the New York government. Its price has shot up 1692% since November 4th, after Elon Musk tweeted about the late squirrel, saying, “America was saved by a squirrel and a meme coin!” Of course, the tweet boosted the price even further. $PNUT I decided to buy some Solana since many memecoins use the Solana blockchain due to its fast transaction speeds. Hundreds of coins are created every minute on the Solana ecosystem. You can easily and quickly send and receive Solana to buy many popular and rising memecoins. I traded, made some money, and lost some too. But I learned something that, perhaps, many already in the trenches of memecoin trading have long known: there is an insane amount of money to be made very quickly with memecoins — along with a ton of risk. Trading these tokens so quickly, tokens that are so widely volatile, is essentially a game. It’s a competition between those with insider knowledge, those without, the holders with the most assets, chart analysts who can buy or sell at the right time, those with proper exit strategies, those using bots and AI to immediately purchase new tokens upon launch, and those who can tell which memes are here to stay and which are fleeting. Memecoin trading is, at its core, about trading memetic culture. To me, this is the future of gaming and finance — an intersection that will be the bedrock of Web3, the future of the internet. Blockchain technology allows for instant transactions and trading of digital assets. This opens up the possibility for the auctioning and trading of in-game assets. I believe that Artificial intelligence will serve as the automation layer to facilitate the development of assets and process transactions. AI will make scouting for tradable items intelligent and efficient — essentially gamifying economics. Gaming will be the activity, AI will be the processing mechanism, and together they will bridge the gap to massive cryptocurrency adoption. In the future, assets and money will be tokenized, and blockchain will facilitate the movement of massive amounts of data, making NFTs more accessible. Gaming is key because people already collect digital assets in video games. If these in-game assets could be traded for currency or used to bid on other tangible and digital items, we’d see a more rapid flow of money throughout the industry and some incredible “gamer to investor” stories. What we’re seeing now are the foundational elements of a world similar to Ready Player One (2018), where the line between the digital and real world is blurred. The world is increasingly gamified. What will this mean for the future? How will people understand culture when trading culture is the future? Ready Player One This is not financial advice, but I urge you to research memecoins and cryptocurrency. The world is being digitized as we speak. I believe the players need to invest and the investors need to play. Is it crazy that we may be witnessing a collision of the serious and the unserious, the comedy meme and the business world? Could this explain the relaxed attire of business moguls due to the influence of tech industry CEOs? Will high fashion and sartorial works be that of memes? Will everything of timelessness become a meme? Is becoming meme the mummification of great ideas? Editor’s note: This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR Editor’s note: This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR Editor’s note: This article is for informational purposes only and does not constitute investment advice. Cryptocurrencies are speculative, complex, and involve high risks. This can mean high prices volatility and potential loss of your initial investment. You should consider your financial situation, investment purposes, and consult with a financial advisor before making any investment decisions. The HackerNoon editorial team has only verified the story for grammatical accuracy and does not endorse or guarantee the accuracy, reliability, or completeness of the information stated in this article. #DYOR

Memecoins May Be Giving Birth to a Future Where The Lines Between Digital and Real Are Blurred

With GameFi entering beast-mode in 2024, new entertaining products are sprouting up like mushrooms. While the developers effortfully try to stand out with elaborate gameplays, the play-to-earn model remains at the heart of their projects. Today’s report is analysing how the latest crypto games keep up to the robustness, fairness, and sequence of the financial incentive; simply put – distinguishes games that are worth your playing time, and games that are not. Let’s dive in. Contenders List The research is specifically focused on the games launched by centralised cryptocurrency exchanges within The Open Network (TON). The reasons for the criteria does not end on chronological relevance, while these projects are one of the freshest in the market In this day and age, GameFi products act as marketing funnels for the crypto companies; through offering playing experience, exchanges are introducing both “hot” and “cold” audiences to the product ecosystems in a more straightforward way. Consequently, this strategy acts both as a precondition and incentive for building a product around the P2E model, seeing that this deeply correlates with the natural user fostering strategy that exchanges implement. Ultimately, four contenders were chosen for the report: Moonbix, a Binance-developed game, in which players control avatars in a space-themed environment, using a claw to collect items within a limited time. They earn points through daily tasks and game rounds, which can be exchanged for tokens
Coinsweeper, a tribute to Minesweeper launched by Bybit, where players uncover safe tiles while avoiding mines. Players earn points based on their performance and can compete for rewards through a leaderboard system.
Bull Run, an application dedicated to the birthday of WhiteBIT crypto exchange, in which players participate in daily Bitcoin price prediction challenges on Telegram, choosing whether Bitcoin will rise or fall. Accurate predictions help their chosen in-game character race faster, competing for daily crypto rewards.
OKX Racer, a relatively long-standing “clicker” by the eponymous company. In it, players predict Bitcoin's price movement as either "Moon" (rise) or "Doom" (fall) within a five-second timeframe. Correct predictions earn points, and consecutive wins activate multipliers for increased rewards. How will the games be evaluated? The goal of the report is to highlight the best-rewarding game from the point of relation to trustworthiness and fostering features. Thus, they will be rated upon the following criteria: User count – a metric that will reveal how a game is staying up-to-date and highlight the consistency of rewarding process
Prize pool, which reveals a size of financial incentive offered to users
Technical and financial factors – a range of metrics, which reveal the essential qualities a potential gamer heed in a product. It breaks down into disclosing rewarding systems, fund conversion accessibility, bugs history, and more. All factors combined will help you get a bigger, more compelling picture on each game’s factual returns. User count differs dramatically. With over 8.4 million users, Moonbix clearly dominates the list, as well as OKX Racer that was notably released two months earlier. Bull Run, while existing less than a month, has already attracted over 571,000 users – more than Coinsweeper, launched nearly simultaneously with Moonbix. Rewards Prize pool is another criteria where numbers diverge. Coinsweeper and OKX Racer lead the list with nearly identical amounts of 70,000 USDT. Meanwhile, Moonbix’s total prize pool can’t be estimated, as it will clearly depend on the in-game points’ conversion rate into a specific token – MBIX. As of writing time, MBIX value remains unknown, while token’s listing is planned to take place in the end of 2024 or the beginning of 2025. Crucially, Moonbix is the only game to promise self-sustained token as a rewarding currency. Coinsweeper players will receive payouts in Mantle (MNT), while OKX Racer offers rewards in USDT. Notably, Bull Run players are already receiving the payments in USDT, Leksis (LEKS), and WhiteBIT Coin (WBT). At the same time, Bull Run is the only game among contenders which ensures factual daily rewards of visible size, apart from the ultimate monthly bonus. The total rewards are received by the end of the week – every Friday. By contrast, other games utilising airdrop model – single token payout by the end of the activity span. Bybit, for example, gives a clear pool distribution across gaming activities, while the exact in-game points (also known as Mantle Bits) conversion rate to MNT is to be determined based on the total number of users engaged. Rewards for OKX Racer players are promised to be announced later. Still, OKX Racer stands out by its daily bonuses feature alongside Bull Run, and it is the only game in which you can receive points in your absence. Other products do not envisage idling. Crucially, severe bugs have not been mentioned in the communities of four games, which makes them all rather playable products. To sum up: While sharing similar ideas and origins, the four aforementioned games differ dramatically not only in terms of gameplay, but also in rewarding framework and financial metrics. However, all of them share the necessary robustness, as the security measures at Binance, WhiteBIT, Bybit, or OKX have been verified. Now, it is all up to you, the user experience you seek, and rewards you expect. In the end, the individual preferences are the essence! With GameFi entering beast-mode in 2024, new entertaining products are sprouting up like mushrooms. While the developers effortfully try to stand out with elaborate gameplays, the play-to-earn model remains at the heart of their projects. Today’s report is analysing how the latest crypto games keep up to the robustness, fairness, and sequence of the financial incentive; simply put – distinguishes games that are worth your playing time, and games that are not. Let’s dive in. Contenders List The research is specifically focused on the games launched by centralised cryptocurrency exchanges within The Open Network (TON). The reasons for the criteria does not end on chronological relevance, while these projects are one of the freshest in the market In this day and age, GameFi products act as marketing funnels for the crypto companies; through offering playing experience, exchanges are introducing both “hot” and “cold” audiences to the product ecosystems in a more straightforward way. Consequently, this strategy acts both as a precondition and incentive for building a product around the P2E model, seeing that this deeply correlates with the natural user fostering strategy that exchanges implement. Ultimately, four contenders were chosen for the report: Moonbix, a Binance-developed game, in which players control avatars in a space-themed environment, using a claw to collect items within a limited time. They earn points through daily tasks and game rounds, which can be exchanged for tokens Coinsweeper, a tribute to Minesweeper launched by Bybit, where players uncover safe tiles while avoiding mines. Players earn points based on their performance and can compete for rewards through a leaderboard system. Bull Run, an application dedicated to the birthday of WhiteBIT crypto exchange, in which players participate in daily Bitcoin price prediction challenges on Telegram, choosing whether Bitcoin will rise or fall. Accurate predictions help their chosen in-game character race faster, competing for daily crypto rewards. OKX Racer, a relatively long-standing “clicker” by the eponymous company. In it, players predict Bitcoin's price movement as either "Moon" (rise) or "Doom" (fall) within a five-second timeframe. Correct predictions earn points, and consecutive wins activate multipliers for increased rewards. Moonbix , a Binance-developed game, in which players control avatars in a space-themed environment, using a claw to collect items within a limited time. They earn points through daily tasks and game rounds, which can be exchanged for tokens Moonbix Coinsweeper , a tribute to Minesweeper launched by Bybit, where players uncover safe tiles while avoiding mines. Players earn points based on their performance and can compete for rewards through a leaderboard system. Coinsweeper Bull Run , an application dedicated to the birthday of WhiteBIT crypto exchange, in which players participate in daily Bitcoin price prediction challenges on Telegram, choosing whether Bitcoin will rise or fall. Accurate predictions help their chosen in-game character race faster, competing for daily crypto rewards. Bull Run OKX Racer , a relatively long-standing “clicker” by the eponymous company. In it, players predict Bitcoin's price movement as either "Moon" (rise) or "Doom" (fall) within a five-second timeframe. Correct predictions earn points, and consecutive wins activate multipliers for increased rewards. OKX Racer How will the games be evaluated? The goal of the report is to highlight the best-rewarding game from the point of relation to trustworthiness and fostering features. Thus, they will be rated upon the following criteria: User count – a metric that will reveal how a game is staying up-to-date and highlight the consistency of rewarding process Prize pool, which reveals a size of financial incentive offered to users Technical and financial factors – a range of metrics, which reveal the essential qualities a potential gamer heed in a product. It breaks down into disclosing rewarding systems, fund conversion accessibility, bugs history, and more. User count – a metric that will reveal how a game is staying up-to-date and highlight the consistency of rewarding process Prize pool, which reveals a size of financial incentive offered to users Technical and financial factors – a range of metrics, which reveal the essential qualities a potential gamer heed in a product. It breaks down into disclosing rewarding systems, fund conversion accessibility, bugs history, and more. All factors combined will help you get a bigger, more compelling picture on each game’s factual returns. User count differs dramatically. With over 8.4 million users, Moonbix clearly dominates the list, as well as OKX Racer that was notably released two months earlier. Bull Run, while existing less than a month, has already attracted over 571,000 users – more than Coinsweeper, launched nearly simultaneously with Moonbix. Rewards Prize pool is another criteria where numbers diverge. Coinsweeper and OKX Racer lead the list with nearly identical amounts of 70,000 USDT. Meanwhile, Moonbix’s total prize pool can’t be estimated, as it will clearly depend on the in-game points’ conversion rate into a specific token – MBIX. As of writing time, MBIX value remains unknown, while token’s listing is planned to take place in the end of 2024 or the beginning of 2025. Crucially, Moonbix is the only game to promise self-sustained token as a rewarding currency. Coinsweeper players will receive payouts in Mantle (MNT), while OKX Racer offers rewards in USDT. Notably, Bull Run players are already receiving the payments in USDT, Leksis (LEKS), and WhiteBIT Coin (WBT). At the same time, Bull Run is the only game among contenders which ensures factual daily rewards of visible size, apart from the ultimate monthly bonus. The total rewards are received by the end of the week – every Friday. By contrast, other games utilising airdrop model – single token payout by the end of the activity span. Bybit, for example, gives a clear pool distribution across gaming activities, while the exact in-game points (also known as Mantle Bits) conversion rate to MNT is to be determined based on the total number of users engaged. Rewards for OKX Racer players are promised to be announced later. Still, OKX Racer stands out by its daily bonuses feature alongside Bull Run, and it is the only game in which you can receive points in your absence. Other products do not envisage idling. Crucially, severe bugs have not been mentioned in the communities of four games, which makes them all rather playable products. To sum up: While sharing similar ideas and origins, the four aforementioned games differ dramatically not only in terms of gameplay, but also in rewarding framework and financial metrics. However, all of them share the necessary robustness, as the security measures at Binance, WhiteBIT, Bybit, or OKX have been verified. Now, it is all up to you, the user experience you seek, and rewards you expect. In the end, the individual preferences are the essence!

Profit or Play: Which Blockchain Game Gives You The Best Bang For Your Buck

How I Created a Social Recommendation Network in Brazil

SYDNEY, Australia, November 21st, 2024/Chainwire/--The GMT DAO, an independent community organization of GMT holders, is excited to announce the launch of the GMT Burn Initiative—an event designed to place the future of GMT firmly in the hands of its community. Through this initiative, GMT holders will vote on the decision to burn up to 600 million GMT, equivalent to 100 million USD, marking this as one of the most ambitious token burns in the web3 ecosystem. The GMT Burn Initiative reflects the GMT DAO’s commitment to transparency, governance, and sustainable token management. This community-driven approach aligns with the DAO's goal to shape GMT’s future responsibly and collaboratively. How It Works: Lock and Vote: GMT holders can participate by visiting burngmt.com, where they can lock their tokens and cast their vote on various proposals, including the first of its kind “GMT Burn Initiative”. Participants will receive an exclusive soulbound ‘Make GMT Great Again’ Red Hat NFT as a token of acknowledgement for their involvement. This NFT will record metadata detailing the claimed and eligible airdrops, as well as the votes cast.
Earn Rewards: A total of 100 million GMT will be distributed at the end of the 60-day voting period as rewards to participants, contingent on achieving milestones.
On-Chain Transparency: The voting process is recorded on the blockchain, allowing anyone to verify results and ensuring the integrity and transparency of each decision.
Regular Voting Cycles: This burn initiative is just the beginning. Moving forward, GMT DAO will introduce new proposals and voting cycles every quarter, giving holders regular opportunities to shape the future of GMT via gmtdao.com. This initiative showcases a proactive effort to ensure GMT's sustainable future, emphasizing innovation and community engagement. The GMT DAO remains committed to true decentralization, empowering GMT holders to shape its direction. By enabling votes on key proposals, including a potential major token burn, the DAO highlights the power of collective input and its dedication to building a strong, thriving ecosystem. The GMT Burn Initiative marks a new chapter in GMT’s journey, giving every holder a voice. Voting, which starts at 100 GMT, is now open at burngmt.com, inviting all GMT holders to help shape the token's future. About GMT DAO The GMT DAO is an independent organization of GMT holders dedicated to overseeing GMT’s future through transparent and community-led governance. The DAO’s formation represents a commitment to empowering GMT holders with a voice in key decisions, from token management to ecosystem development. For more information on the GMT Burn Initiative and to participate, users can visit burngmt.com. About GMT GMT sits at the heart of the FSL ecosystem. Exclusively earned through STEPN, this token plays a crucial role across all FSL products. GMT operates on four blockchains—Solana, BNB Chain, Ethereum, and Polygon—and is pivotal in Gas Hero, where it's used to trade items and burn for NFT level-ups. On MOOAR, all items can be traded using GMT, and it’s also central to primary sale raffle mints with key partners and is used in the newly launched STEPN GO to buy Sneakers and perform various in app functions. Contact GMT DAO hello@gmtdao.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here SYDNEY, Australia, November 21st, 2024/Chainwire/--The GMT DAO, an independent community organization of GMT holders, is excited to announce the launch of the GMT Burn Initiative—an event designed to place the future of GMT firmly in the hands of its community. Through this initiative, GMT holders will vote on the decision to burn up to 600 million GMT, equivalent to 100 million USD, marking this as one of the most ambitious token burns in the web3 ecosystem. The GMT Burn Initiative reflects the GMT DAO’s commitment to transparency, governance, and sustainable token management. This community-driven approach aligns with the DAO's goal to shape GMT’s future responsibly and collaboratively. How It Works: Lock and Vote: GMT holders can participate by visiting burngmt.com, where they can lock their tokens and cast their vote on various proposals, including the first of its kind “GMT Burn Initiative”. Participants will receive an exclusive soulbound ‘Make GMT Great Again’ Red Hat NFT as a token of acknowledgement for their involvement. This NFT will record metadata detailing the claimed and eligible airdrops, as well as the votes cast. Earn Rewards: A total of 100 million GMT will be distributed at the end of the 60-day voting period as rewards to participants, contingent on achieving milestones. On-Chain Transparency: The voting process is recorded on the blockchain, allowing anyone to verify results and ensuring the integrity and transparency of each decision. Regular Voting Cycles: This burn initiative is just the beginning. Moving forward, GMT DAO will introduce new proposals and voting cycles every quarter, giving holders regular opportunities to shape the future of GMT via gmtdao.com. Lock and Vote: GMT holders can participate by visiting burngmt.com , where they can lock their tokens and cast their vote on various proposals, including the first of its kind “GMT Burn Initiative”. Participants will receive an exclusive soulbound ‘Make GMT Great Again’ Red Hat NFT as a token of acknowledgement for their involvement. This NFT will record metadata detailing the claimed and eligible airdrops, as well as the votes cast. burngmt.com burngmt.com Earn Rewards: A total of 100 million GMT will be distributed at the end of the 60-day voting period as rewards to participants, contingent on achieving milestones. On-Chain Transparency: The voting process is recorded on the blockchain, allowing anyone to verify results and ensuring the integrity and transparency of each decision. Regular Voting Cycles: This burn initiative is just the beginning. Moving forward, GMT DAO will introduce new proposals and voting cycles every quarter, giving holders regular opportunities to shape the future of GMT via gmtdao.com . gmtdao.com gmtdao.com This initiative showcases a proactive effort to ensure GMT's sustainable future, emphasizing innovation and community engagement. The GMT DAO remains committed to true decentralization, empowering GMT holders to shape its direction. By enabling votes on key proposals, including a potential major token burn, the DAO highlights the power of collective input and its dedication to building a strong, thriving ecosystem. The GMT Burn Initiative marks a new chapter in GMT’s journey, giving every holder a voice. Voting, which starts at 100 GMT, is now open at burngmt.com , inviting all GMT holders to help shape the token's future. burngmt.com burngmt.com About GMT DAO The GMT DAO is an independent organization of GMT holders dedicated to overseeing GMT’s future through transparent and community-led governance. The DAO’s formation represents a commitment to empowering GMT holders with a voice in key decisions, from token management to ecosystem development. For more information on the GMT Burn Initiative and to participate, users can visit burngmt.com . burngmt.com burngmt.com About GMT GMT sits at the heart of the FSL ecosystem. Exclusively earned through STEPN , this token plays a crucial role across all FSL products. STEPN STEPN GMT operates on four blockchains—Solana, BNB Chain, Ethereum, and Polygon—and is pivotal in Gas Hero , where it's used to trade items and burn for NFT level-ups. Gas Hero Gas Hero On MOOAR , all items can be traded using GMT, and it’s also central to primary sale raffle mints with key partners and is used in the newly launched STEPN GO to buy Sneakers and perform various in app functions. MOOAR MOOAR STEPN GO STEPN GO Contact GMT DAO hello@gmtdao.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

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