GROWII

growii

84 Stories To Learn About Scaling

HackerNoon: What is your company in 2–5 words? Uros Mikic: Full-service Webflow agency, one subscription. Why is now the time for your company to exist? We’ve built Flow Ninja by leveraging Webflow as a platform to power our product and marketing website and to offer Webflow to our customers. I believe Webflow’s CMS will become the go-to choice for all CMOs. It allows marketing teams to operate independently from engineering departments, providing greater control and flexibility over their websites. Currently, there are many excellent CMS solutions available. However, once your website traffic exceeds 100,000 visits, you need a robust tool to manage your marketing efforts. At this scale, Webflow stands unrivaled. Moreover, the ongoing challenge of expanding marketing teams involves hiring roles that are not required full-time. Our company addresses this issue by offering an entire team of design, development, and growth experts for the price of a single employee, all included in one subscription. What do you love about your team, and why are you the ones to solve this problem? I’m truly grateful that the team has been with me since our company was founded and that trust is still going strong. As I was 19 when we started, there were many bumps in the road, and were it not for the team surrounding me, it would have been a much more difficult journey. We were among the first to start working in Webflow in 2015, around two years after it was launched. If you weren’t building your startup, what would you be doing? I’ve fallen in love with the game of growing businesses, and I think this will stick with me forever. It gives me a sense of purpose. It makes me seize the day. If it wasn’t for Flow Ninja, I genuinely believe I would look for a potential partnership to help another business or start a new one from scratch. I must admit it: I’ve been daydreaming about running a traditional business. I think everything we do in the startup world would be ten times more effective if applied to a traditional mom-and-pop shop type of business. Introducing all of the systems related to HR, sales, marketing etc, would allow me to grow a traditional business to new heights. One thing I would love is to spend more time in my garden. Suppose time were to stand still, relieving me of all accountability in my business. In that case, I'd likely indulge in ample moments tending to my garden, allowing my mind to unwind and rejuvenate At the moment, how do you measure success? What are your metrics? We have different metrics for different departments. We try to hold people accountable for specific metrics. COO & CPO Customer churn
Team attrition
Company billability CTO & Design Late tickets
Billability
Client initiatives
Client reviews Finance & Sales Number of closed leads
Number of daily reachouts to cold clients
Cashflow (We are a fan of profit-first)
Net profit margin
Projected vs actualized revenue In a few sentences, what do you offer to whom? We offer a full-service Webflow team, including strategy, design, development, QA, SEO, account management, and more — all within a single subscription via our custom client relationship management platform. Our clients are usually product-led growth companies with more than $20M in revenue or funding and marketing teams of more than five people. We also work with enterprises and sales-led companies. What’s most exciting about your traction to date? As I write this, we are entering the most exciting period. As a profitable business, we are currently heavily investing in our team and strategic roles. Still, one of my favorite accolades to date is the 2023 Webflow Enterprise Partner of the Year, awarded by Webflow. Where do you think your growth will be next year? We hope to increase our growth from 30% to 60% by the end of this year and expand even more next year. We recently onboarded a new sales team and a Chief Revenue Officer, so I am confident we could grow much more than this. Tell us about your first paying customer and revenue expectations over the next year. Ah, the first paying customer. No one likes to hear about that. It was a website for an education institution that was built using a simple template. Another agency outsourced this project to us, presenting our work as theirs. They wanted the template to look like they'd built everything custom. On top of that, their budget barely covered our basic expenses, so we worked for peanuts, basically. There were countless revisions, and everything took five times longer than expected. No one quit in the process, and everyone was happy in the end. Those were rookie mistakes, but you live and learn, I guess. As for the expectations — we have aggressive plans to scale to $15M+ in the next five years. We’ve set a cornerstone for that: we focus on our custom-built in-house client relations platform and concentrate on our product. Finally, we ensure that our delivery puts us among the top 1% of all agencies offering similar services. With all that working well, we can now safely invest in growth. We expect to be in the $2-3M range next year. What’s your biggest threat? There are a lot of threats, and we keep them at bay. One might think that the biggest threat to the business is that we rely solely on Webflow to develop all of our websites. But I strongly disagree. I truly believe that Webflow is the only competitive platform in the complex website builders market. I’m confident I can push all of our developments into that platform, and I sleep well because I’ve met every single member of the Webflow leadership team, and they really know what they are doing. HackerNoon : What is your company in 2–5 words? HackerNoon Uros Mikic : Full-service Webflow agency, one subscription. Uros Mikic Uros Mikic Why is now the time for your company to exist? We’ve built Flow Ninja by leveraging Webflow as a platform to power our product and marketing website and to offer Webflow to our customers. I believe Webflow’s CMS will become the go-to choice for all CMOs. It allows marketing teams to operate independently from engineering departments, providing greater control and flexibility over their websites. Flow Ninja Currently, there are many excellent CMS solutions available. However, once your website traffic exceeds 100,000 visits, you need a robust tool to manage your marketing efforts. At this scale, Webflow stands unrivaled. Moreover, the ongoing challenge of expanding marketing teams involves hiring roles that are not required full-time. Our company addresses this issue by offering an entire team of design, development, and growth experts for the price of a single employee, all included in one subscription. What do you love about your team, and why are you the ones to solve this problem? I’m truly grateful that the team has been with me since our company was founded and that trust is still going strong. As I was 19 when we started, there were many bumps in the road, and were it not for the team surrounding me, it would have been a much more difficult journey. We were among the first to start working in Webflow in 2015, around two years after it was launched. If you weren’t building your startup, what would you be doing? I’ve fallen in love with the game of growing businesses, and I think this will stick with me forever. It gives me a sense of purpose. It makes me seize the day. If it wasn’t for Flow Ninja, I genuinely believe I would look for a potential partnership to help another business or start a new one from scratch. I must admit it: I’ve been daydreaming about running a traditional business. I think everything we do in the startup world would be ten times more effective if applied to a traditional mom-and-pop shop type of business. Introducing all of the systems related to HR, sales, marketing etc, would allow me to grow a traditional business to new heights. One thing I would love is to spend more time in my garden. Suppose time were to stand still, relieving me of all accountability in my business. In that case, I'd likely indulge in ample moments tending to my garden, allowing my mind to unwind and rejuvenate At the moment, how do you measure success? What are your metrics? We have different metrics for different departments. We try to hold people accountable for specific metrics. COO & CPO COO & CPO Customer churn Team attrition Company billability Customer churn Team attrition Company billability CTO & Design CTO & Design Late tickets Billability Client initiatives Client reviews Late tickets Billability Client initiatives Client reviews Finance & Sales Finance & Sales Number of closed leads Number of daily reachouts to cold clients Cashflow (We are a fan of profit-first) Net profit margin Projected vs actualized revenue Number of closed leads Number of daily reachouts to cold clients Cashflow (We are a fan of profit-first) Net profit margin Projected vs actualized revenue In a few sentences, what do you offer to whom? We offer a full-service Webflow team, including strategy, design, development, QA, SEO, account management, and more — all within a single subscription via our custom client relationship management platform. Our clients are usually product-led growth companies with more than $20M in revenue or funding and marketing teams of more than five people. We also work with enterprises and sales-led companies. What’s most exciting about your traction to date? As I write this, we are entering the most exciting period. As a profitable business, we are currently heavily investing in our team and strategic roles. Still, one of my favorite accolades to date is the 2023 Webflow Enterprise Partner of the Year, awarded by Webflow. Where do you think your growth will be next year? We hope to increase our growth from 30% to 60% by the end of this year and expand even more next year. We recently onboarded a new sales team and a Chief Revenue Officer, so I am confident we could grow much more than this. Tell us about your first paying customer and revenue expectations over the next year. Ah, the first paying customer. No one likes to hear about that. It was a website for an education institution that was built using a simple template. Another agency outsourced this project to us, presenting our work as theirs. They wanted the template to look like they'd built everything custom. On top of that, their budget barely covered our basic expenses, so we worked for peanuts, basically. There were countless revisions, and everything took five times longer than expected. No one quit in the process, and everyone was happy in the end. Those were rookie mistakes, but you live and learn, I guess. As for the expectations — we have aggressive plans to scale to $15M+ in the next five years. We’ve set a cornerstone for that: we focus on our custom-built in-house client relations platform and concentrate on our product. Finally, we ensure that our delivery puts us among the top 1% of all agencies offering similar services. With all that working well, we can now safely invest in growth. We expect to be in the $2-3M range next year. What’s your biggest threat? There are a lot of threats, and we keep them at bay. One might think that the biggest threat to the business is that we rely solely on Webflow to develop all of our websites. But I strongly disagree. I truly believe that Webflow is the only competitive platform in the complex website builders market. I’m confident I can push all of our developments into that platform, and I sleep well because I’ve met every single member of the Webflow leadership team, and they really know what they are doing.

"Growing Businesses Gives Me a Sense of Purpose." says Flow Ninja Founder/CEO 

"Οι αναπτυσσόμενες επιχειρήσεις μου δίνει μια αίσθηση σκοπού." λέει ο Flow Ninja Founder/CEO 

"Hacer crecer mi negocio me da un sentido de propósito", afirma el fundador y director ejecutivo de Flow Ninja

«Աճող բիզնեսները ինձ նպատակի զգացում են տալիս»: ասում է Flow Ninja-ի հիմնադիր/գործադիր տնօրենը 

"גידול עסקים נותן לי תחושת מטרה." אומר מייסד/מנכ"ל Flow Ninja 

「ビジネスの成長は私に目的意識を与えてくれます」とFlow Ninjaの創設者兼CEOは語る

"ການເຕີບໃຫຍ່ຂອງທຸລະກິດເຮັດໃຫ້ຂ້ອຍມີຄວາມຕັ້ງໃຈ." Flow Ninja ຜູ້ກໍ່ຕັ້ງ / CEO 

„Rozwój firm daje mi poczucie celu” – mówi założyciel/dyrektor generalny Flow Ninja

«Развитие бизнеса дает мне чувство цели», — говорит основатель и генеральный директор Flow Ninja

"Gukura ubucuruzi bimpa kumva intego." ati Flow Ninja washinze / Umuyobozi mukuru 

"வளரும் வணிகங்கள் எனக்கு ஒரு நோக்கத்தை அளிக்கிறது." Flow Ninja நிறுவனர்/CEO கூறுகிறார் 

"ምዕባለ ንግዳዊ ትካላት ናይ ዕላማ ስምዒት ይህበኒ።" ይብል መስራቲ/ዋና ኣካያዲ ስራሕ ፍሎው ኒንጃ 

"İşletmeleri Büyütmek Bana Bir Amaç Duygusu Veriyor." diyor Flow Ninja Kurucusu/CEO'su

The development of the Internet of Things has shaped our modern life, connected thousands of devices, and improved the intelligence and efficiency of everything we use, from houses to urban areas. However, this interconnection has brought some weaknesses, as criminals are hackers are increasingly using IoT devices for large-scale attacks. The emergency of botnets is among the top risks currently faced by IoT ecosystems. These networks of compromised devices can be used as tools to carry out cyber-attacks that can bring severe consequences. The need to understand how IoT botnets work, their effects, and the mechanism to reduce their threat is very important in the current interconnected world. The Development of IoT and Its Security Concerns IoT devices consist of security cameras, smart thermostats, sensors, home appliances, smart TVs, and medical devices. According to the report, it is estimated that over 75 billion IoT devices will be connected globally, a tremendous increase from the millions in use. While the devices make lives easy and convenient for human usage, they bring some set of security issues. The majority of IoT devices are built for functionality rather than security. Some come with weak default passwords, lack automatic security update installations, or operate under minimal processing power, which reduces advanced security features. The rise in these insecure devices has generated a breeding ground for manipulation. Cybercriminals take advantage of these loopholes by using malware to control vulnerable IoT devices and integrate them into botnets. Once in the hands of a hacker, these devices can be used to carry out cyber attacks without user knowledge. What is an IoT Botnet? The botnet is a group of internet-connected devices infected with malware and controlled by one or more bots called the “botmaster.” In IoT, this network comprises various internet-connected devices that have been compromised through vulnerabilities. These include weak passwords or unpatched software. The botmaster can control the compromised device remotely, making it a power tool for cyber-attacks. IoT botnets pose a significant threat because of the large quantity of IoT gadgets, while an individual IoT device may not have as much computing power as a regular computer; their effectiveness increases significantly when they are joined together due to their large numbers. Furthermore, numerous IoT devices run non-top and can go unnoticed when hacked, enabling the botnet to endure for extended periods undetected. How IoT Botnets are Weaponized in Cyber Attacks Cyber attacks of different forms have been carried out via the Internet of Things botnet, with Distributed Denial of Service attacks being the most prevalent. DDOS attacks overload a target’s network or server with heavy traffic, slowing down the service or crashing it so that legitimate users can not have access. IoT botnets can produce enormous volumes of bandwidth due to their large number of infiltrated devices, which makes these attacks more sophisticated, effective, and difficult to defend. For example, the famous Mirai botnet attack in 2016 infected hundreds of IoT devices, such as security cameras and home routers is a clear example of how dangerous this attack can be. One of the largest attacks in history, which targeted services like Netflix, Twitter, and Reddit, was caused by the Mirai botnet. The attack shows how a DDOS attack can disrupt services across different platforms. Aside from DDOS attacks, IoT botnets have been used for a variety of nefarious activities, such as email spam, data theft, click fraud, and cryptocurrency mining. Because these devices are frequently forgotten by the users, hackers then use them to build a massive infrastructure for unlawful activities, all while the device owners are ignorant of malicious activities. Vulnerabilities that Allow IoT Botnets There are different factors that contribute to the vulnerability of IoT devices, making them attractive to target for botnets: Weak Authentication: The majority of IoT devices come with a default username and password that users barely change after purchase. Hackers leverage human ignorance and use automated tools to search the internet for a gadget that still has default credentials, illegally gaining access to them without any restriction. Unpatched Firmware: Many IoT devices lack ways of obtaining automatic security upgrades. As vulnerabilities in devices and software are uncovered, a lot stay unpatched, making the devices vulnerable to attack. Limited Security Feature: Because of the economic constraints or the requirements for efficiency, many IoT devices offer few security measures. Firewalls, encryption, and advanced intrusion detection systems are often unavailable, allowing attackers to hack the devices. Inconsistent Security Standards: IoT manufacturers’ approaches to security vary and there are sometimes no industry standards in place. This gap leads to a variety of vulnerabilities across several devices. Impact of IoT Botnets The increase of IoT botnets poses serious threats to both users and business owners. An IoT botnet attack can have serious effects on an organization ranging from financial loss to reputation damage, and operational downtime. Massive DDOS attacks can shut down websites, online services, and critical infrastructure, with far-reaching consequences for global markets. National Security is under serious threat on a broader scale because more essential infrastructures such as power grids, transportation, systems, military equipment and healthcare networks, linked to IoT could be affected by IoT botnets. The possibility of botnet attacks on this critical infrastructure could cause disruption and risk lives. Defending Against IoT Botnets Fighting against the threat of IoT botnets requires a multi-dimension approach, involving all stakeholders that’s both users and manufacturers. For manufacturers, it’s imperative to design with security consciousness in mind.  This approach includes using strong usernames and passwords, ensuring that automatic firmware is enabled, and using secure coding practices. The usage of industry standards and regulations to checkmate the security features will help in reducing risks and threats. For users and enterprises, protecting IoT devices should be a top priority because everything we do depends on it. The security of the devices should be a must not a choice and the responsibility includes changing default credentials, enabling multifactor authentication (MFA), updating devices constantly, and placing IoT devices on separate networks from critical systems. The adoption of firewalls, intrusion detection systems, and monitoring of traffic for anomalous behavior helps to detect and prevent IoT botnet activity. Conclusion The increase of IoT botnets demonstrated the rise of complexity in cyber threats in the age of connected devices. As more gadgets become available, the probability of cyber-attacks targeting them will grow. Defending the weaponization of IoT cyber attacks needs a collaborative effort with manufacturers, regulators, and users. Without addressing the current weakness in IoT devices, the digital world would continue to be vulnerable to botnets capable of causing massive disruption to lives. We can reduce risks and fully realize the potential of linked devices by ensuring security improvement in IoT development and usage. The development of the Internet of Things has shaped our modern life, connected thousands of devices, and improved the intelligence and efficiency of everything we use, from houses to urban areas. However, this interconnection has brought some weaknesses, as criminals are hackers are increasingly using IoT devices for large-scale attacks. The emergency of botnets is among the top risks currently faced by IoT ecosystems. These networks of compromised devices can be used as tools to carry out cyber-attacks that can bring severe consequences. The need to understand how IoT botnets work, their effects, and the mechanism to reduce their threat is very important in the current interconnected world. The Development of IoT and Its Security Concerns The Development of IoT and Its Security Concerns IoT devices consist of security cameras, smart thermostats, sensors, home appliances, smart TVs, and medical devices. According to the report, it is estimated that over 75 billion IoT devices will be connected globally, a tremendous increase from the millions in use. While the devices make lives easy and convenient for human usage, they bring some set of security issues. The majority of IoT devices are built for functionality rather than security. Some come with weak default passwords, lack automatic security update installations, or operate under minimal processing power, which reduces advanced security features. The rise in these insecure devices has generated a breeding ground for manipulation. Cybercriminals take advantage of these loopholes by using malware to control vulnerable IoT devices and integrate them into botnets. Once in the hands of a hacker, these devices can be used to carry out cyber attacks without user knowledge. What is an IoT Botnet? What is an IoT Botnet? The botnet is a group of internet-connected devices infected with malware and controlled by one or more bots called the “botmaster.” In IoT, this network comprises various internet-connected devices that have been compromised through vulnerabilities. These include weak passwords or unpatched software. The botmaster can control the compromised device remotely, making it a power tool for cyber-attacks. IoT botnets pose a significant threat because of the large quantity of IoT gadgets, while an individual IoT device may not have as much computing power as a regular computer; their effectiveness increases significantly when they are joined together due to their large numbers. Furthermore, numerous IoT devices run non-top and can go unnoticed when hacked, enabling the botnet to endure for extended periods undetected. How IoT Botnets are Weaponized in Cyber Attacks How IoT Botnets are Weaponized in Cyber Attacks Cyber attacks of different forms have been carried out via the Internet of Things botnet, with Distributed Denial of Service attacks being the most prevalent. DDOS attacks overload a target’s network or server with heavy traffic, slowing down the service or crashing it so that legitimate users can not have access. IoT botnets can produce enormous volumes of bandwidth due to their large number of infiltrated devices, which makes these attacks more sophisticated, effective, and difficult to defend. For example, the famous Mirai botnet attack in 2016 infected hundreds of IoT devices, such as security cameras and home routers is a clear example of how dangerous this attack can be. One of the largest attacks in history, which targeted services like Netflix, Twitter, and Reddit, was caused by the Mirai botnet. The attack shows how a DDOS attack can disrupt services across different platforms. Aside from DDOS attacks, IoT botnets have been used for a variety of nefarious activities, such as email spam, data theft, click fraud, and cryptocurrency mining. Because these devices are frequently forgotten by the users, hackers then use them to build a massive infrastructure for unlawful activities, all while the device owners are ignorant of malicious activities. Vulnerabilities that Allow IoT Botnets Vulnerabilities that Allow IoT Botnets There are different factors that contribute to the vulnerability of IoT devices, making them attractive to target for botnets: Weak Authentication: The majority of IoT devices come with a default username and password that users barely change after purchase. Hackers leverage human ignorance and use automated tools to search the internet for a gadget that still has default credentials, illegally gaining access to them without any restriction. Weak Authentication: The majority of IoT devices come with a default username and password that users barely change after purchase. Hackers leverage human ignorance and use automated tools to search the internet for a gadget that still has default credentials, illegally gaining access to them without any restriction. Unpatched Firmware: Many IoT devices lack ways of obtaining automatic security upgrades. As vulnerabilities in devices and software are uncovered, a lot stay unpatched, making the devices vulnerable to attack. Unpatched Firmware: Many IoT devices lack ways of obtaining automatic security upgrades. As vulnerabilities in devices and software are uncovered, a lot stay unpatched, making the devices vulnerable to attack. Limited Security Feature: Because of the economic constraints or the requirements for efficiency, many IoT devices offer few security measures. Firewalls, encryption, and advanced intrusion detection systems are often unavailable, allowing attackers to hack the devices. Limited Security Feature: Because of the economic constraints or the requirements for efficiency, many IoT devices offer few security measures. Firewalls, encryption, and advanced intrusion detection systems are often unavailable, allowing attackers to hack the devices. Inconsistent Security Standards: IoT manufacturers’ approaches to security vary and there are sometimes no industry standards in place. This gap leads to a variety of vulnerabilities across several devices. Inconsistent Security Standards: IoT manufacturers’ approaches to security vary and there are sometimes no industry standards in place. This gap leads to a variety of vulnerabilities across several devices. Impact of IoT Botnets Impact of IoT Botnets The increase of IoT botnets poses serious threats to both users and business owners. An IoT botnet attack can have serious effects on an organization ranging from financial loss to reputation damage, and operational downtime. Massive DDOS attacks can shut down websites, online services, and critical infrastructure, with far-reaching consequences for global markets. National Security is under serious threat on a broader scale because more essential infrastructures such as power grids, transportation, systems, military equipment and healthcare networks, linked to IoT could be affected by IoT botnets. The possibility of botnet attacks on this critical infrastructure could cause disruption and risk lives. Defending Against IoT Botnets Fighting against the threat of IoT botnets requires a multi-dimension approach, involving all stakeholders that’s both users and manufacturers. For manufacturers, it’s imperative to design with security consciousness in mind.  This approach includes using strong usernames and passwords, ensuring that automatic firmware is enabled, and using secure coding practices. The usage of industry standards and regulations to checkmate the security features will help in reducing risks and threats. For users and enterprises, protecting IoT devices should be a top priority because everything we do depends on it. The security of the devices should be a must not a choice and the responsibility includes changing default credentials, enabling multifactor authentication (MFA), updating devices constantly, and placing IoT devices on separate networks from critical systems. The adoption of firewalls, intrusion detection systems, and monitoring of traffic for anomalous behavior helps to detect and prevent IoT botnet activity. Conclusion Conclusion The increase of IoT botnets demonstrated the rise of complexity in cyber threats in the age of connected devices. As more gadgets become available, the probability of cyber-attacks targeting them will grow. Defending the weaponization of IoT cyber attacks needs a collaborative effort with manufacturers, regulators, and users. Without addressing the current weakness in IoT devices, the digital world would continue to be vulnerable to botnets capable of causing massive disruption to lives. We can reduce risks and fully realize the potential of linked devices by ensuring security improvement in IoT development and usage.

Securing the Internet of Things: Addressing the Growing Threat of Botnets and Cyber Attacks

Sicherung des Internets der Dinge: Umgang mit der wachsenden Bedrohung durch Botnetze und Cyberangriffe

Proteger la Internet de las cosas: cómo afrontar la creciente amenaza de las redes de bots y los ciberataques

Sécuriser l'Internet des objets : répondre à la menace croissante des botnets et des cyberattaques

Proteggere l'Internet delle cose: affrontare la crescente minaccia delle botnet e degli attacchi informatici

Protegendo a Internet das Coisas: Abordando a crescente ameaça de botnets e ataques cibernéticos

保障物联网安全：应对日益严重的僵尸网络和网络攻击威胁

How to Prepare Your Business For Growing Cyberthreats

Artificial intelligence has penetrated not only our everyday lives but also businesses and is now gradually being integrated into the activities of attackers and information security mechanisms. According to a recent survey, many global cyber leaders are concerned about generative AI's impact on cybersecurity. AI helps increase adversarial capabilities in areas such as phishing, malware development, deepfakes, etc. Therefore, cyber guards are looking for ways to increase the role of neural networks in strengthening the security of companies' network perimeters and enhancing the efficiency of detecting and preventing attacks. About 55% percent of organizations plan to adopt AI-related cybersecurity solutions within the year. However, security experts also see some risks ranging from fake security alerts to the replacement of people in a number of professions. In which cybersecurity processes and products can neural networks be used now? How much will they increase the efficiency of incident detection and response? Will this alleviate staff shortages or, conversely, lead to unemployment? Let's try to find answers to these and other questions. AI's Rise in Cybersecurity These solutions can solve specific problems such as external attack surface management (EASM), threat detection, vulnerability assessment, and automated incident response, achieving results comparable to those of human intellectual activity. Over the past few years, technologies associated with large language models and deep learning have created a boom in the IT market, sparking discussions about some of AI's creative abilities. However, in the field of information security, AI is approached with greater caution. This industry requires a more responsible attitude towards the results of AI activities. There is not yet enough data on which these models can be trained to bring significant benefits to information security. Therefore, a boom in AI within the field of information security has not yet been observed. AI may surpass humans in terms of volume and speed of data processing, but not yet in the quality of this processing. Therefore, AI requires double-checking of its results. However, it can definitely help ease the workload and lower labor costs. So far, there is no extensive application of such models in the information security industry, but they do help solve specific problems. The Necessity of Artificial Intelligence There is a need for artificial intelligence in information security, but most companies are not yet ready for full implementation. Currently, companies trust AI with routine tasks, and as a result, the corresponding technologies are not yet deeply integrated into information security. For this situation to change, it is necessary to collect more input data and extensively train in-house data scientists and other specialists to work with artificial intelligence. The main reason for introducing AI into cybersecurity is the increasing amount of data that humans can no longer manage. This is especially important given the current personnel shortages. The growing demands and maturity of customers drove the initial use of AI. In the future, AI could solve tasks that humans cannot perform, such as distinguishing users by their online behavior (keystroke speed, text input, mouse movements, etc.) AI in the Hands of Cybercriminals It is worth remembering that cybercriminals also use AI to automate their actions, such as phishing and creating deepfakes. Attackers are trying to automate their activities in order to increase the effectiveness of attacks and reduce their costs. Artificial intelligence allows them to create phishing emails that are difficult to distinguish from real ones. Attackers also use large language models to write code and exploits. In addition, ChatGPT can provide advice on specific steps to carry out cyber-attacks. Nowadays, tools for collecting user data (through bots and social networks) have developed significantly, and their use for training artificial intelligence has expanded. Attackers are also taking advantage of this. Current Applications of AI in Cybersecurity Although this is just the beginning, customers are already able to automate cybercrime investigations, identify anomalies and deviations in employee behavior, and analyze non-text data, including voice recognition, image analysis, and computer vision. AI is also actively used in anti-fraud systems. Artificial intelligence can also help analyze large amounts of data and identify patterns that standard correlation rules cannot always detect. AI can be used to develop program code securely and analyze and fix vulnerabilities. AI is also used to create attack profiles. Additionally, it is possible to use large language models at the Linux kernel level for data analysis. It is technically possible to use AI to directly respond to threats, but it is the company's responsibility to trust the decisions of such models or not. People are better at it. AI Usage Recommendations AI is trained on terabytes of data from almost all over the world. When it comes to information security, labeled data sets are used. In the absence of any markup/labeling, developers and information security specialists may not understand the output data provided by the trained artificial intelligence. To solve this problem, it is necessary to train specialists to interpret such data. For now, it is possible to use AI solutions for which data interpretation does not require special training of people. Experts advise large customers to start their AI journey by focusing on automating enterprise management using AI tools. Small and medium-sized customers should consider products that utilize behavioral analytics. Additionally, it is important to configure your DLP (Data Loss Prevention) system to work with all incoming data. AI vs. Humans in Cybersecurity Many infosec professions will not disappear because of AI; instead, they will evolve and take on new functions. Cybersecurity, being a highly responsible field, will see technology and AI assisting in decision-making rather than making decisions on their own. In the future, the division of labor could look like this: humans make the key decisions while AI handles the grunt work and prepares reports. AI can reduce the amount of spam, fake alerts, and false positives coming from information security tools that operators must handle. This will allow cybersecurity officers to focus on more complex and important tasks, as well as more creative activities. Artificial intelligence can take over routine work, but it will not replace human creativity. A neural network can be useful in aggregating data, but it will not become a proficient developer, as real people, hackers, always find holes in software and networks. This is one of the reasons why it is very difficult to use AI in the process of proactive detection of malicious activity in computer networks, also known as Threat Hunting. AI works on the basis of trained data and cannot identify threats that are not represented in these datasets. In addition, neural networks do not always provide reliable information, so it is important to monitor and verify their results. Overall, I am sure AI will not "take away the jobs" of information security specialists. The Future of AI in Cybersecurity AI will first be tested in IT and then penetrate deeper into the information security area. Companies will have to overcome issues related to data interpretability and quality. In my opinion, AI will develop in bursts, and we can expect significant growth in technology and competencies over the next five years. In the next few years, AI will be used for automation, optimization, and behavioral analytics. Over the next ten years, we may see the introduction of new AI-powered products and further advancements in model training. We should not forget about possible attacks on artificial intelligence. There is no need to introduce AI just for the sake of implementation. It is necessary to set tasks that will force the company to use artificial intelligence. First of all, practical tasks should be solved, efficiency and productivity should be increased. Conclusion There is more and more data in the world, the volume of which is beyond the ability of an ordinary person to process. For this purpose, we use the capabilities of artificial intelligence, which has already become a part of everyday life. However, its use in information security is not yet so widespread. Firstly, there is not enough data on which neural networks can be trained. Secondly, there are not enough specialists who can interpret the data received from AI. At the same time, information security companies widely use these technologies to search for anomalies, simplify decision-making, categorize incidents, etc. This not only saves resources but also allows employees to improve their skills and take on more responsible and creative tasks. It is worth noting that AI is not capable of replacing people but is intended to assist them in their work. Artificial intelligence has penetrated not only our everyday lives but also businesses and is now gradually being integrated into the activities of attackers and information security mechanisms. According to a recent survey, many global cyber leaders are concerned about generative AI's impact on cybersecurity . AI helps increase adversarial capabilities in areas such as phishing, malware development, deepfakes, etc. AI's impact on cybersecurity Therefore, cyber guards are looking for ways to increase the role of neural networks in strengthening the security of companies' network perimeters and enhancing the efficiency of detecting and preventing attacks. About 55% percent of organizations plan to adopt AI-related cybersecurity solutions within the year. However, security experts also see some risks ranging from fake security alerts to the replacement of people in a number of professions. 55% percent In which cybersecurity processes and products can neural networks be used now? How much will they increase the efficiency of incident detection and response? Will this alleviate staff shortages or, conversely, lead to unemployment? Let's try to find answers to these and other questions. AI's Rise in Cybersecurity AI's Rise in Cybersecurity These solutions can solve specific problems such as external attack surface management (EASM), threat detection, vulnerability assessment, and automated incident response, achieving results comparable to those of human intellectual activity. Over the past few years, technologies associated with large language models and deep learning have created a boom in the IT market, sparking discussions about some of AI's creative abilities. However, in the field of information security, AI is approached with greater caution. This industry requires a more responsible attitude towards the results of AI activities. There is not yet enough data on which these models can be trained to bring significant benefits to information security. Therefore, a boom in AI within the field of information security has not yet been observed. AI may surpass humans in terms of volume and speed of data processing, but not yet in the quality of this processing. Therefore, AI requires double-checking of its results. However, it can definitely help ease the workload and lower labor costs. So far, there is no extensive application of such models in the information security industry, but they do help solve specific problems. The Necessity of Artificial Intelligence The Necessity of Artificial Intelligence There is a need for artificial intelligence in information security, but most companies are not yet ready for full implementation. Currently, companies trust AI with routine tasks, and as a result, the corresponding technologies are not yet deeply integrated into information security. For this situation to change, it is necessary to collect more input data and extensively train in-house data scientists and other specialists to work with artificial intelligence. The main reason for introducing AI into cybersecurity is the increasing amount of data that humans can no longer manage. This is especially important given the current personnel shortages. The growing demands and maturity of customers drove the initial use of AI. In the future, AI could solve tasks that humans cannot perform, such as distinguishing users by their online behavior (keystroke speed, text input, mouse movements, etc.) AI in the Hands of Cybercriminals AI in the Hands of Cybercriminals It is worth remembering that cybercriminals also use AI to automate their actions, such as phishing and creating deepfakes. Attackers are trying to automate their activities in order to increase the effectiveness of attacks and reduce their costs. Artificial intelligence allows them to create phishing emails that are difficult to distinguish from real ones. Attackers also use large language models to write code and exploits. In addition, ChatGPT can provide advice on specific steps to carry out cyber-attacks. Nowadays, tools for collecting user data (through bots and social networks) have developed significantly, and their use for training artificial intelligence has expanded. Attackers are also taking advantage of this. Current Applications of AI in Cybersecurity Current Applications of AI in Cybersecurity Although this is just the beginning, customers are already able to automate cybercrime investigations, identify anomalies and deviations in employee behavior, and analyze non-text data, including voice recognition, image analysis, and computer vision. AI is also actively used in anti-fraud systems . anti-fraud systems Artificial intelligence can also help analyze large amounts of data and identify patterns that standard correlation rules cannot always detect. AI can be used to develop program code securely and analyze and fix vulnerabilities . AI is also used to create attack profiles. Additionally, it is possible to use large language models at the Linux kernel level for data analysis. analyze and fix vulnerabilities It is technically possible to use AI to directly respond to threats, but it is the company's responsibility to trust the decisions of such models or not. People are better at it. AI Usage Recommendations AI Usage Recommendations AI is trained on terabytes of data from almost all over the world. When it comes to information security, labeled data sets are used. In the absence of any markup/labeling, developers and information security specialists may not understand the output data provided by the trained artificial intelligence. To solve this problem, it is necessary to train specialists to interpret such data. For now, it is possible to use AI solutions for which data interpretation does not require special training of people. Experts advise large customers to start their AI journey by focusing on automating enterprise management using AI tools. Small and medium-sized customers should consider products that utilize behavioral analytics. Additionally, it is important to configure your DLP ( Data Loss Prevention ) system to work with all incoming data. Data Loss Prevention AI vs. Humans in Cybersecurity AI vs. Humans in Cybersecurity Many infosec professions will not disappear because of AI; instead, they will evolve and take on new functions. Cybersecurity, being a highly responsible field, will see technology and AI assisting in decision-making rather than making decisions on their own. In the future, the division of labor could look like this: humans make the key decisions while AI handles the grunt work and prepares reports. AI can reduce the amount of spam, fake alerts, and false positives coming from information security tools that operators must handle. This will allow cybersecurity officers to focus on more complex and important tasks, as well as more creative activities. Artificial intelligence can take over routine work, but it will not replace human creativity. A neural network can be useful in aggregating data, but it will not become a proficient developer, as real people, hackers, always find holes in software and networks. This is one of the reasons why it is very difficult to use AI in the process of proactive detection of malicious activity in computer networks, also known as Threat Hunting . AI works on the basis of trained data and cannot identify threats that are not represented in these datasets. Threat Hunting In addition, neural networks do not always provide reliable information, so it is important to monitor and verify their results. Overall, I am sure AI will not "take away the jobs" of information security specialists. The Future of AI in Cybersecurity The Future of AI in Cybersecurity AI will first be tested in IT and then penetrate deeper into the information security area. Companies will have to overcome issues related to data interpretability and quality. In my opinion, AI will develop in bursts, and we can expect significant growth in technology and competencies over the next five years. In the next few years, AI will be used for automation, optimization, and behavioral analytics. Over the next ten years, we may see the introduction of new AI-powered products and further advancements in model training. We should not forget about possible attacks on artificial intelligence. There is no need to introduce AI just for the sake of implementation. It is necessary to set tasks that will force the company to use artificial intelligence. First of all, practical tasks should be solved, efficiency and productivity should be increased. Conclusion Conclusion There is more and more data in the world, the volume of which is beyond the ability of an ordinary person to process. For this purpose, we use the capabilities of artificial intelligence, which has already become a part of everyday life. However, its use in information security is not yet so widespread. Firstly, there is not enough data on which neural networks can be trained. Secondly, there are not enough specialists who can interpret the data received from AI. At the same time, information security companies widely use these technologies to search for anomalies, simplify decision-making, categorize incidents, etc. This not only saves resources but also allows employees to improve their skills and take on more responsible and creative tasks. It is worth noting that AI is not capable of replacing people but is intended to assist them in their work.

AI's Growing Role in Cybersecurity

A recent viral post on Reddit took the minds of people everywhere: Did ChatGPT just message me first? This unsolicited contact by AI appeared to raise mixed feelings of being amazed and concerned. Proof that ChatGPT was actually starting to reach out proactively came from a post done by a user with the username SentuBill on the subreddit r/singularity. This scenario has not been seen with AI before.The conversation in question started with ChatGPT's question: "How was it? Your first week at high school? Did you settle in well?" This unsolicited intervention by AI chat had sent Bill's response: "Did you just message me first?" to which ChatGPT replied, "Yes, I did! Just wanted to check in and see how things went with your first week of high school"This set the internet crazy, with many questioning if this was a new feature rolled out by OpenAI or if the chatbot could take the initiative in conversations instead of mere responses. This would be an important shift in AI engagement, where traditionally, the model engages passively instead of actively reaching out to users. A Feature or Glitch? The more this went viral, the more several wondered whether this behavior was a new feature or simply a glitch. A number of users reported such experiences where ChatGPT starts up conversations based on topics touched upon in earlier chats; they felt this might have something to do with OpenAI's recently released "o1-preview" and "01-mini" AI models. This allegedly means they use "human-like" reasoning, thus can resolve more complex tasks and hold more nuance in conversations.One user, named Aichdeef, posted to Reddit how ChatGPT had messaged him the day following a scheduled surgery to ask how it went. That was practical and helpful but kind of eerie in that the AI felt like it was being empathetic because it remembered and asked about the surgery. This brings further speculation that the memory function of ChatGPT is what could actually be the reason behind these interactions.OpenAI shortly addressed the viral incident. Futurism quoted them as saying, "What users went through was a bug." According to OpenAI, that happened when the model tried to respond to a message that did not send well and ended up showing either a message that was empty or a follow-through. After that, OpenAI got in touch to confirm that this was not deliberate on the part of the AI and a fix had been issued to prevent the AI from appearing to initiate conversations in the future.Despite the explanation provided by OpenAI, this viral post fired up the most varied responses on Reddit and other social media platforms. People went humorous: one Redditor noted, "Great. Now it's sliding into people's DMs." Others seriously reflected on what this could mean for an AI that is active toward a user. Is this how AI will be engaging in the future? Is ChatGPT-or any AI for that matter, ever going to seem to be a proactive assistant rather than some sort of passive tool?While that sounded exciting to some, it did not sound as great to others. Another Reddit commenter, Careful-Expression-3, says with the newly added capability, privacy is going to be an issue: "Your personal info is part of the ChatGPT model now," he says, striking at the very hidden potential of AI in remembering and using personal details perhaps intrusively. While OpenAI has said that all data is transparent and totally in the control of users with regards to this memory feature, the very idea of an AI "remembering" personal details and starting conversations has opened a different debate on how much convenience needs to be sacrificed to balance privacy in AI systems.More contemplative responses came from time_then_shades, who told the story of how ChatGPT remembered a personal project he had mentioned in an earlier chat and asked if he wanted to continue working on it. It was this sort of proactive behavior on the part of AI that sealed helpfulness and motivation, he said. It envisioned a time when, in the future, AI could be involved in goal setting, project management, and check-ins. In turn, these would help humans get on with their personal objectives. A Glimpse Into the Future? The more we go ahead, the clearer it gets that ChatGPT is not just a tool, but rather an increasingly integrated feature in our lives for remembering, engaging, and possibly predicting our very needs. Whether that sends shivers down your spine or gives you goosebumps, one thing becomes certain: our conversations with AI are far from over. A recent viral post on Reddit took the minds of people everywhere: Did ChatGPT just message me first? This unsolicited contact by AI appeared to raise mixed feelings of being amazed and concerned. Proof that ChatGPT was actually starting to reach out proactively came from a post done by a user with the username SentuBill on the subreddit r/singularity. This scenario has not been seen with AI before. The conversation in question started with ChatGPT's question: "How was it? Your first week at high school? Did you settle in well?" This unsolicited intervention by AI chat had sent Bill's response: "Did you just message me first?" to which ChatGPT replied, "Yes, I did! Just wanted to check in and see how things went with your first week of high school" This set the internet crazy, with many questioning if this was a new feature rolled out by OpenAI or if the chatbot could take the initiative in conversations instead of mere responses. This would be an important shift in AI engagement, where traditionally, the model engages passively instead of actively reaching out to users. A Feature or Glitch? The more this went viral, the more several wondered whether this behavior was a new feature or simply a glitch. A number of users reported such experiences where ChatGPT starts up conversations based on topics touched upon in earlier chats; they felt this might have something to do with OpenAI's recently released "o1-preview" and "01-mini" AI models. This allegedly means they use "human-like" reasoning, thus can resolve more complex tasks and hold more nuance in conversations. One user, named Aichdeef, posted to Reddit how ChatGPT had messaged him the day following a scheduled surgery to ask how it went. That was practical and helpful but kind of eerie in that the AI felt like it was being empathetic because it remembered and asked about the surgery. This brings further speculation that the memory function of ChatGPT is what could actually be the reason behind these interactions. OpenAI shortly addressed the viral incident. Futurism quoted them as saying, "What users went through was a bug." According to OpenAI, that happened when the model tried to respond to a message that did not send well and ended up showing either a message that was empty or a follow-through. After that, OpenAI got in touch to confirm that this was not deliberate on the part of the AI and a fix had been issued to prevent the AI from appearing to initiate conversations in the future. Despite the explanation provided by OpenAI, this viral post fired up the most varied responses on Reddit and other social media platforms. People went humorous: one Redditor noted, "Great. Now it's sliding into people's DMs." Others seriously reflected on what this could mean for an AI that is active toward a user. Is this how AI will be engaging in the future? Is ChatGPT-or any AI for that matter, ever going to seem to be a proactive assistant rather than some sort of passive tool? While that sounded exciting to some, it did not sound as great to others. Another Reddit commenter, Careful-Expression-3, says with the newly added capability, privacy is going to be an issue: "Your personal info is part of the ChatGPT model now," he says, striking at the very hidden potential of AI in remembering and using personal details perhaps intrusively. While OpenAI has said that all data is transparent and totally in the control of users with regards to this memory feature, the very idea of an AI "remembering" personal details and starting conversations has opened a different debate on how much convenience needs to be sacrificed to balance privacy in AI systems. More contemplative responses came from time_then_shades, who told the story of how ChatGPT remembered a personal project he had mentioned in an earlier chat and asked if he wanted to continue working on it. It was this sort of proactive behavior on the part of AI that sealed helpfulness and motivation, he said. It envisioned a time when, in the future, AI could be involved in goal setting, project management, and check-ins. In turn, these would help humans get on with their personal objectives. A Glimpse Into the Future? The more we go ahead, the clearer it gets that ChatGPT is not just a tool, but rather an increasingly integrated feature in our lives for remembering, engaging, and possibly predicting our very needs. Whether that sends shivers down your spine or gives you goosebumps, one thing becomes certain: our conversations with AI are far from over.

ChatGPT slipped into people's DMs? Viral Reddit Post Sparks Debate on AI’s Growing Initiative

Beacon, a leading web3 accelerator founded by Polygon co-founder Sandeep Nailwal, has unveiled its fourth and largest cohort to date. The program has selected 17 promising startups for its latest three-month accelerator, marking a significant expansion from previous cohorts. The new group includes some of the most high-profile companies in Beacon's history, with several already backed by prominent venture capital firms such as Andreessen Horowitz (a16z), Founders Fund, Pantera Capital, and Polychain Capital. The startups span various sectors within the web3 space, including decentralized finance (DeFi), infrastructure, and artificial intelligence (AI). “We're thrilled to welcome our largest and most diverse cohort so far,” said Sandeep Nailwal, co-founder of Polygon and Beacon. “The caliber of companies joining us is truly exceptional, and we're excited to see how, with the aid of our mentorship and resources, they will shape the future of web3 and beyond.” Notable Participants and Their Innovations Among the standout companies in the cohort are: Stakestone: An omni-chain liquid staking token protocol enhancing staking yields and liquidity on Layer 2s.


EXO: Enables users to run their own AI clusters at home using everyday devices.


Nubit: A scalable, cost-efficient data availability layer secured by Bitcoin, empowering applications like Ordinals and Layer 2s.


Aligned Layer: A decentralized network that verifies zero-knowledge proofs and posts the results to Ethereum.


eoracle: A programmable data layer that connects smart contracts with real-world data by extending Ethereum's Proof of Stake. Building on Past Successes The announcement comes after the graduation of Beacon's successful S23 cohort, which comprised 10 companies. Alumni such as scalable data availability layer 0G and verifiable oracle protocol ORA have achieved unicorn status since completing the program. ORA secured $20 million in funding led by Polychain Capital, while Inco, a universal confidentiality layer, closed a $4.5 million seed round led by 1kx. “With the level of talent and innovation we're witnessing in this new group, we are entirely confident that they can emulate, if not surpass, their predecessors,” Nailwal added. The Full Cohort Lineup The complete list of companies in Beacon's S24 cohort includes: Avantis: Provides infrastructure for traders to access up to 100x leverage on major cryptocurrencies, forex, and commodities.


Compute Labs: Utilizes a Compute Tokenization Protocol to financialize AI and create compute derivatives.


Crynux: Founded by former Google engineers, building a permissionless and trustless protocol for decentralized AI.


EZKL: Offers a developer-friendly system for verifiable AI and analytics, powering various decentralized systems.


Lorenzo: A Bitcoin liquidity finance layer designed to meet global demand for Bitcoin liquidity across Layer 2s and DeFi platforms.


Nodekit: Developing Javelin, a solution aimed at restoring composability to rollups.


Othentic: Provides infrastructure for building distributed services, simplifying development on EigenLayer.


PADO: A decentralized zkAttestation and computation network aiming to unlock internet data for Web3.


Pallet: A hub for digital culture, community, and ownership built on the Sei network.


Pin AI: An open platform for personal AI, leveraging open-source technology and crypto for data ownership and privacy.


TAC: TON App Chain, an interoperability layer for the TON blockchain and EVM-based applications.


Warlock: Creating new primitives to disrupt and disintermediate the MEV (Miner Extractable Value) landscape. Beacon's decision to expand its cohort size may be a strategic move to capitalize on the growing momentum in the web3 sector. By supporting a larger and more diverse group of startups, the accelerator is positioning itself as a key player in shaping the future of decentralized technologies. The inclusion of companies backed by major venture capital firms also adds credibility to the program and could attract more high-quality applicants in the future. This move could foster a more collaborative environment where startups benefit not only from Beacon's resources but also from each other's experiences and networks. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Beacon , a leading web3 accelerator founded by Polygon co-founder Sandeep Nailwal, has unveiled its fourth and largest cohort to date. The program has selected 17 promising startups for its latest three-month accelerator, marking a significant expansion from previous cohorts. Beacon The new group includes some of the most high-profile companies in Beacon's history, with several already backed by prominent venture capital firms such as Andreessen Horowitz (a16z), Founders Fund, Pantera Capital, and Polychain Capital. The startups span various sectors within the web3 space, including decentralized finance (DeFi), infrastructure, and artificial intelligence (AI). “We're thrilled to welcome our largest and most diverse cohort so far,” said Sandeep Nailwal, co-founder of Polygon and Beacon. “The caliber of companies joining us is truly exceptional, and we're excited to see how, with the aid of our mentorship and resources, they will shape the future of web3 and beyond.” Notable Participants and Their Innovations Notable Participants and Their Innovations Among the standout companies in the cohort are: Stakestone: An omni-chain liquid staking token protocol enhancing staking yields and liquidity on Layer 2s. EXO: Enables users to run their own AI clusters at home using everyday devices. Nubit: A scalable, cost-efficient data availability layer secured by Bitcoin, empowering applications like Ordinals and Layer 2s. Aligned Layer: A decentralized network that verifies zero-knowledge proofs and posts the results to Ethereum. eoracle: A programmable data layer that connects smart contracts with real-world data by extending Ethereum's Proof of Stake. Stakestone: An omni-chain liquid staking token protocol enhancing staking yields and liquidity on Layer 2s. Stakestone : An omni-chain liquid staking token protocol enhancing staking yields and liquidity on Layer 2s. Stakestone EXO: Enables users to run their own AI clusters at home using everyday devices. EXO : Enables users to run their own AI clusters at home using everyday devices. EXO Nubit: A scalable, cost-efficient data availability layer secured by Bitcoin, empowering applications like Ordinals and Layer 2s. Nubit : A scalable, cost-efficient data availability layer secured by Bitcoin, empowering applications like Ordinals and Layer 2s. Nubit Aligned Layer: A decentralized network that verifies zero-knowledge proofs and posts the results to Ethereum. Aligned Layer : A decentralized network that verifies zero-knowledge proofs and posts the results to Ethereum. Aligned Layer eoracle: A programmable data layer that connects smart contracts with real-world data by extending Ethereum's Proof of Stake. eoracle : A programmable data layer that connects smart contracts with real-world data by extending Ethereum's Proof of Stake. eoracle Building on Past Successes Building on Past Successes The announcement comes after the graduation of Beacon's successful S23 cohort, which comprised 10 companies. Alumni such as scalable data availability layer 0G and verifiable oracle protocol ORA have achieved unicorn status since completing the program. ORA secured $20 million in funding led by Polychain Capital, while Inco, a universal confidentiality layer, closed a $4.5 million seed round led by 1kx. “With the level of talent and innovation we're witnessing in this new group, we are entirely confident that they can emulate, if not surpass, their predecessors,” Nailwal added. The Full Cohort Lineup The Full Cohort Lineup The complete list of companies in Beacon's S24 cohort includes: Avantis: Provides infrastructure for traders to access up to 100x leverage on major cryptocurrencies, forex, and commodities. Compute Labs: Utilizes a Compute Tokenization Protocol to financialize AI and create compute derivatives. Crynux: Founded by former Google engineers, building a permissionless and trustless protocol for decentralized AI. EZKL: Offers a developer-friendly system for verifiable AI and analytics, powering various decentralized systems. Lorenzo: A Bitcoin liquidity finance layer designed to meet global demand for Bitcoin liquidity across Layer 2s and DeFi platforms. Nodekit: Developing Javelin, a solution aimed at restoring composability to rollups. Othentic: Provides infrastructure for building distributed services, simplifying development on EigenLayer. PADO: A decentralized zkAttestation and computation network aiming to unlock internet data for Web3. Pallet: A hub for digital culture, community, and ownership built on the Sei network. Pin AI: An open platform for personal AI, leveraging open-source technology and crypto for data ownership and privacy. TAC: TON App Chain, an interoperability layer for the TON blockchain and EVM-based applications. Warlock: Creating new primitives to disrupt and disintermediate the MEV (Miner Extractable Value) landscape. Avantis: Provides infrastructure for traders to access up to 100x leverage on major cryptocurrencies, forex, and commodities. Avantis : Provides infrastructure for traders to access up to 100x leverage on major cryptocurrencies, forex, and commodities. Avantis Compute Labs: Utilizes a Compute Tokenization Protocol to financialize AI and create compute derivatives. Compute Labs : Utilizes a Compute Tokenization Protocol to financialize AI and create compute derivatives. Compute Labs Crynux: Founded by former Google engineers, building a permissionless and trustless protocol for decentralized AI. Crynux : Founded by former Google engineers, building a permissionless and trustless protocol for decentralized AI. Crynux EZKL: Offers a developer-friendly system for verifiable AI and analytics, powering various decentralized systems. EZKL : Offers a developer-friendly system for verifiable AI and analytics, powering various decentralized systems. EZKL Lorenzo: A Bitcoin liquidity finance layer designed to meet global demand for Bitcoin liquidity across Layer 2s and DeFi platforms. Lorenzo : A Bitcoin liquidity finance layer designed to meet global demand for Bitcoin liquidity across Layer 2s and DeFi platforms. Lorenzo Nodekit: Developing Javelin, a solution aimed at restoring composability to rollups. Nodekit : Developing Javelin, a solution aimed at restoring composability to rollups. Nodekit Othentic: Provides infrastructure for building distributed services, simplifying development on EigenLayer. Othentic : Provides infrastructure for building distributed services, simplifying development on EigenLayer. Othentic PADO: A decentralized zkAttestation and computation network aiming to unlock internet data for Web3. PADO : A decentralized zkAttestation and computation network aiming to unlock internet data for Web3. PADO Pallet: A hub for digital culture, community, and ownership built on the Sei network. Pallet : A hub for digital culture, community, and ownership built on the Sei network. Pallet Pin AI: An open platform for personal AI, leveraging open-source technology and crypto for data ownership and privacy. Pin AI : An open platform for personal AI, leveraging open-source technology and crypto for data ownership and privacy. Pin AI TAC: TON App Chain, an interoperability layer for the TON blockchain and EVM-based applications. TAC : TON App Chain, an interoperability layer for the TON blockchain and EVM-based applications. TAC Warlock: Creating new primitives to disrupt and disintermediate the MEV (Miner Extractable Value) landscape. Warlock : Creating new primitives to disrupt and disintermediate the MEV (Miner Extractable Value) landscape. Warlock Beacon's decision to expand its cohort size may be a strategic move to capitalize on the growing momentum in the web3 sector. By supporting a larger and more diverse group of startups, the accelerator is positioning itself as a key player in shaping the future of decentralized technologies. The inclusion of companies backed by major venture capital firms also adds credibility to the program and could attract more high-quality applicants in the future. This move could foster a more collaborative environment where startups benefit not only from Beacon's resources but also from each other's experiences and networks. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: business blogging program business blogging program

Beacon's Largest Cohort Signals Growing Momentum in Web3 Innovation

Η μεγαλύτερη κοόρτη της Beacon σηματοδοτεί αυξανόμενη ορμή στην καινοτομία Web3

La cohorte más grande de Beacon indica un impulso creciente en la innovación de la Web3

Kelompok Terbesar Beacon Menandakan Meningkatnya Momentum Inovasi Web3

ビーコンの最大規模のコホートがWeb3イノベーションの勢いの高まりを示唆

សញ្ញានៃក្រុមដ៏ធំបំផុតរបស់ Beacon ដែលកំពុងកើនឡើងនៅក្នុងការច្នៃប្រឌិត Web3

बीकनको सबैभन्दा ठूलो कोहोर्ट संकेतहरू Web3 नवाचारमा बढ्दो गति

Cea mai mare cohortă a lui Beacon semnalează creșterea impulsului în inovarea Web3

Крупнейшая когорта Beacon сигнализирует о растущем импульсе инноваций Web3

Беацон-ова највећа кохорта сигнали растући замах у Веб3 иновацијама

Web3 இன்னோவேஷனில் பெக்கனின் மிகப்பெரிய கோஹார்ட் சிக்னல்கள் வளரும் வேகம்

“Beacon” -yň “Web3” innowasiýasynda ösýän pursatdygyny görkezýär

Mayoqning eng katta kohort signallari Web3 innovatsiyasida o'sib borayotgan momentum

Step-by-step Guide to Growing a Bootstrap B2B Startup: Actual Tactics (Not Strategies)

বুটস্ট্র্যাপ B2B স্টার্টআপ বাড়ানোর জন্য ধাপে ধাপে নির্দেশিকা: প্রকৃত কৌশল (কৌশল নয়)

Schritt-für-Schritt-Anleitung zum Aufbau eines Bootstrap-B2B-Startups: Tatsächliche Taktiken (keine Strategien)

Guía paso a paso para hacer crecer una startup B2B con bootstrap: tácticas reales (no estrategias)

Guide étape par étape pour développer une startup B2B Bootstrap : des tactiques réelles (pas des stratégies)

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引导式 B2B 初创企业成长的分步指南：实际策略（而非战略）

No company out there that wants to provide bad customer service. Everyone is focused on the customer experience or CX, and every company claims to be focused on creating a “good” experience for their customers. After all, that is what customers expect from businesses in our current marketplace. What is a “good” customer experience? Sometimes, good enough indicates that you’re trying not to create a bad experience. To bring in customers and keep them, you’re going to need to do more than that – you need strong customer experience management. We live in a world where online reviews guide decision-making. Customers who have a great experience will leave positive feedback on review platforms and various forums, such as Quora, Reddit, or other social media platforms. By doing it, they help new customers discover what you have to offer, what potential issues may arise, and how responsive you are. Customers are just as likely to leave negative reviews and complaints if you fail to resolve their issues and they aren’t wowed by your services. Here are three reasons why you should prioritize your customer experience and consumer issues resolution and what customer reviews have to do with it. Customer Reviews Drive Business As consumers, we put a great deal of faith in what other customers say. Review websites like  BBB, PissedConsumer, or Yelp allow consumers to share their experiences with others. Recent online review trends show that customers actively read and rely on other consumer opinions about local businesses, with  95% of would-be customers reading those online reviews before making a purchasing decision. Online reviews can make or break a business, but customers also know that everyone makes mistakes. Unresolved consumer issues lead to negative reviews, which decrease customer loyalty and damage your business reputation. Fortunately, your approach to the customer experience extends to reviewing websites and social networking, and this gives you a chance to publicly interact with frustrated customers. You can show how much you care about resolving consumer issues, fixing negative experiences,  and bringing them back into the fold by making things right. Brand Loyalty Is Tethered to Customer Experience Earlier on, many companies depended on brand loyalty as a major part of their business model. If a customer was satisfied with a purchase, they would likely come back and make a repeat purchase down the road without much work from the company itself. Those days are gone. Now, almost a third of customers will walk away from a company they love after a single bad experience.  It doesn’t matter how much the customer loves your widget or clothing line. If you don’t address their issues and they have a bad customer experience, they won’t be back. And worse – they will tell their friends about it, too. To build brand loyalty in the modern world of retail, you must build a relationship with customers. Customer experience is brand loyalty, and customers want human interactions. According to PwC, as many as 82% of customers want to interact with employees at your company to create what feels like a bespoke experience. Culture Is Linked to Customer Experience Management Your people matter. You make a point of hiring the right people, and you want to keep them. Finding and training new people is time-consuming and expensive, so every employee you have is an investment in the future of your business. The way you treat your customers is closely tied to how valued your employees feel as well. It’s a trickle-down effect. The company culture you create will be evident to your customers. If your employees feel valued and enjoy their work, that pride in your company and what it stands for will be evident in employee-customer interactions. Angry and burned-out employees who are not interested in resolving consumer issues aren’t going to help your company shine. Your customer experience management plan should really be a “how your company treats people” plan. Treat both employees and consumers with respect and kindness. Every customer matters just like every employee matters, and you want both to feel valued. There are additional benefits to allowing employees to feel empowered and meaningful at their work. If your customer service team feels confident when engaging with customers, they can help find the right solution to their concerns. This creates happy customers and a channel for information and problem-solving that can improve your company over time. With a strong customer service focus, you can go from simply pacifying customers with canned responses to using feedback regarding consumer issues as one of your most valuable tools in transforming your company and its products and services. No company out there that wants to provide bad customer service. Everyone is focused on the customer experience or CX, and every company claims to be focused on creating a “good” experience for their customers. After all, that is what customers expect from businesses in our current marketplace. What is a “good” customer experience? What is a “good” customer experience? Sometimes, good enough indicates that you’re trying not to create a bad experience. To bring in customers and keep them, you’re going to need to do more than that – you need strong customer experience management. We live in a world where online reviews guide decision-making. Customers who have a great experience will leave positive feedback on review platforms and various forums, such as Quora , Reddit , or other social media platforms. By doing it, they help new customers discover what you have to offer, what potential issues may arise, and how responsive you are. Customers are just as likely to leave negative reviews and complaints if you fail to resolve their issues and they aren’t wowed by your services. Quora Reddit issues issues Here are three reasons why you should prioritize your customer experience and consumer issues resolution and what customer reviews have to do with it. Customer Reviews Drive Business Customer Reviews Drive Business As consumers, we put a great deal of faith in what other customers say. Review websites like  BBB, PissedConsumer, or Yelp allow consumers to share their experiences with others. Recent online review trends show that customers actively read and rely on other consumer opinions about local businesses, with 95% of would-be customers reading those online reviews before making a purchasing decision. online review trends online review trends 95% 95% Online reviews can make or break a business, but customers also know that everyone makes mistakes. Unresolved consumer issues lead to negative reviews, which decrease customer loyalty and damage your business reputation. customer loyalty customer loyalty Fortunately, your approach to the customer experience extends to reviewing websites and social networking, and this gives you a chance to publicly interact with frustrated customers. You can show how much you care about resolving consumer issues, fixing negative experiences,  and bringing them back into the fold by making things right. Brand Loyalty Is Tethered to Customer Experience Brand Loyalty Is Tethered to Customer Experience Earlier on, many companies depended on brand loyalty as a major part of their business model. If a customer was satisfied with a purchase, they would likely come back and make a repeat purchase down the road without much work from the company itself. Those days are gone. Now, almost a third of customers will walk away from a company they love after a single bad experience.  It doesn’t matter how much the customer loves your widget or clothing line. If you don’t address their issues and they have a bad customer experience, they won’t be back. And worse – they will tell their friends about it, too. third of customers third of customers To build brand loyalty in the modern world of retail, you must build a relationship with customers. Customer experience is brand loyalty, and customers want human interactions. According to PwC, as many as 82% of customers want to interact with employees at your company to create what feels like a bespoke experience. Culture Is Linked to Customer Experience Management Your people matter. You make a point of hiring the right people, and you want to keep them. Finding and training new people is time-consuming and expensive, so every employee you have is an investment in the future of your business. The way you treat your customers is closely tied to how valued your employees feel as well. It’s a trickle-down effect. The company culture you create will be evident to your customers. If your employees feel valued and enjoy their work, that pride in your company and what it stands for will be evident in employee-customer interactions. Angry and burned-out employees who are not interested in resolving consumer issues aren’t going to help your company shine. Your customer experience management plan should really be a “how your company treats people” plan. Treat both employees and consumers with respect and kindness. Every customer matters just like every employee matters, and you want both to feel valued. There are additional benefits to allowing employees to feel empowered and meaningful at their work. If your customer service team feels confident when engaging with customers, they can help find the right solution to their concerns. This creates happy customers and a channel for information and problem-solving that can improve your company over time. With a strong customer service focus, you can go from simply pacifying customers with canned responses to using feedback regarding consumer issues as one of your most valuable tools in transforming your company and its products and services.

Growing Your Business on the Back of Customer Experience Management 

Healthcare experts find it difficult to use Patient Feedback appropriately in improving the overall Patient Experience. But with the help of patient feedback tools, one of the most resourceful tools used in the healthcare industry, it's easy to capture Patient Feedback. The imperative work starts after the post-collection of data, which consists of analyzing the results, understanding service gaps, and creating and implementing strategies to enhance efficiency. Medical Group Management Association (MGMA) found that approximately 80% of the practices identified as “better performing” in the healthcare industry used patient surveys. The Importance of Using Patient Surveys Healthcare & Patient Surveys not only gauge Patient Feedback, but it helps in improving the overall performance and communication with the patients. Nowadays, the healthcare industry is more relying on Patient Survey App to evaluate their performance as a provider. Implementation of patient surveys can help hospitals understand patient requirements and fulfill them.
It will help you understand what is essential to your patients which will further help you deliver quality services.
If you care about your patient’s opinions, then it will give them a solid reason to keep you as their medical care professional and will ultimately lead to word-of-mouth recommendations.
Patient Surveys can help you with the right data to improve patient satisfaction. As per Accenture, “61% of respondents surveyed would switch health care providers for the ability to get an appointment quickly when needed.” Make Use of the CG-CAHPS Survey The CAHPS (Consumer Assessment of Healthcare Providers and Systems) survey is an industry-recognized survey that is globally known for measuring Patient Satisfaction and capturing patient insights. The survey is created by the Agency for Healthcare Research and Quality under the guidance of experts from the healthcare industry. There are numerous versions available of the CAHPS survey depending upon the medical providers. CG-CAHPS, also known as, Clinician and Group Consumer Assessment of Healthcare Providers and Systems, is another version of the CAHPS survey, which is used to measure patient perceptions regarding care delivered in a hospital. As per Press Ganey, a renowned company that is used for improving patient satisfaction, 5 essential questions from a CH-CAHPS survey should be included in surveys, which are the key pointers for determining Patient Satisfaction and Patient Loyalty. How would you rate your confidence in the healthcare provider?
How well does the staff coordinate in providing exceptional care?
How much concern was shown from the healthcare providers’ end for your queries?
During your recent visit, how carefully did the healthcare provider hear your problems?
How would you like to rate the friendliness of the hospital? Best Practices for Patient Surveys Surveying your patients will help you understand their preferences and what they are looking for in a particular service, be it patient registration, doctor appointment, specific healthcare treatment, etc. It can help you enhance the overall healthcare processes. It’s not necessary that patients will prefer making use of patient surveys; being a healthcare provider, you need to give a compelling reason to the respondents and ensure to include the best patient survey practices. Let them know why you care about their opinion and how it can help you offer a seamless patient experience. Best Practices for Patient Surveys Distribute Surveys on Multiple Platforms
Distribute Survey at the Right Time (post interaction)
Make use of Open-Ended Questions and Close-Ended Questions
Keep your Surveys Short and Simple Distribute Surveys on Multiple Platforms There is always a question that comes to the mind of most healthcare providers which is: What should be the medium to collect surveys? Whether online or offline? To get a high response rate from your patients, it’s always recommended to distribute patient surveys on different platforms, be it online or offline. It can include social media networking sites, websites, emails, kiosks, etc. For example, an inpatient post-discharge could be emailed a survey about his visit and experience with the hospital. On the other hand, an outpatient can be presented with a kiosk to take real-time feedback while he is at the healthcare center. Distribute Survey at the Right Time (post interaction) It’s another vital factor to capture patient feedback. Capturing it after every interaction will help you analyze what services can be improved. Patients might not be able to share useful insights if the surveys are sent to them after long intervals. Make use of Open-Ended Questions and Close-Ended Questions Open-ended questions are those questions where patients don’t have to write anything. They will get multiple-choice answer options which would be pre-populated. Close-ended questions are those questions where patients will get the opportunity to answer questions in a more descriptive format. Using both open-ended and close-ended questions will help you capture maximum patient insights. Keep your Surveys Short and Simple It has been observed that most of the time, patients hesitate to take surveys or leave them in between if they are too long. Try to keep them precise, short, and simple. Respect their time, and it will result in high response rates. Conclusion Nowadays, technology has become an integral part of most industries, and healthcare should not be left behind. To improve Patient Satisfaction, collecting feedback at a particular time plays an important role. If you want to provide incredible services to your patients, then making use of a real-time Patient Feedback System with tracking capabilities can be helpful. Making use of surveys will help you capture patient complaints, which should be addressed immediately to make them happy and satisfied. Healthcare experts find it difficult to use Patient Feedback appropriately in improving the overall Patient Experience. But with the help of patient feedback tools, one of the most resourceful tools used in the healthcare industry, it's easy to capture Patient Feedback. patient feedback tool s, patient feedback tool The imperative work starts after the post-collection of data, which consists of analyzing the results, understanding service gaps, and creating and implementing strategies to enhance efficiency. Medical Group Management Association (MGMA) found that approximately 80% of the practices identified as “better performing” in the healthcare industry used patient surveys. Medical Group Management Association (MGMA) The Importance of Using Patient Surveys The Importance of Using Patient Surveys Healthcare & Patient Surveys not only gauge Patient Feedback, but it helps in improving the overall performance and communication with the patients. Nowadays, the healthcare industry is more relying on Patient Survey App to evaluate their performance as a provider. Implementation of patient surveys can help hospitals understand patient requirements and fulfill them. It will help you understand what is essential to your patients which will further help you deliver quality services. If you care about your patient’s opinions, then it will give them a solid reason to keep you as their medical care professional and will ultimately lead to word-of-mouth recommendations. Patient Surveys can help you with the right data to improve patient satisfaction. Implementation of patient surveys can help hospitals understand patient requirements and fulfill them. It will help you understand what is essential to your patients which will further help you deliver quality services. If you care about your patient’s opinions, then it will give them a solid reason to keep you as their medical care professional and will ultimately lead to word-of-mouth recommendations. Patient Surveys can help you with the right data to improve patient satisfaction . improve patient satisfaction improve patient satisfaction As per Accenture, “61% of respondents surveyed would switch health care providers for the ability to get an appointment quickly when needed.” As per Accenture, “61% of respondents surveyed would switch health care providers for the ability to get an appointment quickly when needed.” Make Use of the CG-CAHPS Survey Make Use of the CG-CAHPS Survey The CAHPS (Consumer Assessment of Healthcare Providers and Systems) survey is an industry-recognized survey that is globally known for measuring Patient Satisfaction and capturing patient insights. The survey is created by the Agency for Healthcare Research and Quality under the guidance of experts from the healthcare industry. measuring Patient Satisfaction Agency for Healthcare Research and Quality There are numerous versions available of the CAHPS survey depending upon the medical providers. CG-CAHPS, also known as, Clinician and Group Consumer Assessment of Healthcare Providers and Systems, is another version of the CAHPS survey, which is used to measure patient perceptions regarding care delivered in a hospital. Clinician and Group Consumer Assessment of Healthcare Providers and Systems, As per Press Ganey , a renowned company that is used for improving patient satisfaction, 5 essential questions from a CH-CAHPS survey should be included in surveys, which are the key pointers for determining Patient Satisfaction and Patient Loyalty. Press Ganey How would you rate your confidence in the healthcare provider? How well does the staff coordinate in providing exceptional care? How much concern was shown from the healthcare providers’ end for your queries? During your recent visit, how carefully did the healthcare provider hear your problems? How would you like to rate the friendliness of the hospital? How would you rate your confidence in the healthcare provider? How well does the staff coordinate in providing exceptional care? How much concern was shown from the healthcare providers’ end for your queries? During your recent visit, how carefully did the healthcare provider hear your problems? How would you like to rate the friendliness of the hospital? Best Practices for Patient Surveys Best Practices for Patient Surveys Surveying your patients will help you understand their preferences and what they are looking for in a particular service, be it patient registration, doctor appointment, specific healthcare treatment, etc. It can help you enhance the overall healthcare processes. It’s not necessary that patients will prefer making use of patient surveys; being a healthcare provider, you need to give a compelling reason to the respondents and ensure to include the best patient survey practices. Let them know why you care about their opinion and how it can help you offer a seamless patient experience. Best Practices for Patient Surveys Distribute Surveys on Multiple Platforms Distribute Survey at the Right Time (post interaction) Make use of Open-Ended Questions and Close-Ended Questions Keep your Surveys Short and Simple Distribute Surveys on Multiple Platforms Distribute Survey at the Right Time (post interaction) Make use of Open-Ended Questions and Close-Ended Questions Keep your Surveys Short and Simple Distribute Surveys on Multiple Platforms Distribute Surveys on Multiple Platforms Distribute Surveys on Multiple Platforms There is always a question that comes to the mind of most healthcare providers which is: What should be the medium to collect surveys? Whether online or offline? To get a high response rate from your patients, it’s always recommended to distribute patient surveys on different platforms, be it online or offline. It can include social media networking sites, websites, emails, kiosks, etc. For example, an inpatient post-discharge could be emailed a survey about his visit and experience with the hospital. On the other hand, an outpatient can be presented with a kiosk to take real-time feedback while he is at the healthcare center. Distribute Survey at the Right Time (post interaction) Distribute Survey at the Right Time (post interaction) Distribute Survey at the Right Time (post interaction) It’s another vital factor to capture patient feedback. Capturing it after every interaction will help you analyze what services can be improved. Patients might not be able to share useful insights if the surveys are sent to them after long intervals. Make use of Open-Ended Questions and Close-Ended Questions Make use of Open-Ended Questions and Close-Ended Questions Make use of Open-Ended Questions and Close-Ended Questions Open-ended questions are those questions where patients don’t have to write anything. They will get multiple-choice answer options which would be pre-populated. Close-ended questions are those questions where patients will get the opportunity to answer questions in a more descriptive format. Using both open-ended and close-ended questions will help you capture maximum patient insights. Keep your Surveys Short and Simple Keep your Surveys Short and Simple Keep your Surveys Short and Simple It has been observed that most of the time, patients hesitate to take surveys or leave them in between if they are too long. Try to keep them precise, short, and simple. Respect their time, and it will result in high response rates. Conclusion Nowadays, technology has become an integral part of most industries, and healthcare should not be left behind. To improve Patient Satisfaction, collecting feedback at a particular time plays an important role. If you want to provide incredible services to your patients, then making use of a real-time Patient Feedback System with tracking capabilities can be helpful. Making use of surveys will help you capture patient complaints, which should be addressed immediately to make them happy and satisfied.

The Growing Importance of Patient Surveys

রোগীর সমীক্ষার ক্রমবর্ধমান গুরুত্ব

Die wachsende Bedeutung von Patientenbefragungen

La creciente importancia de las encuestas a pacientes

L’importance croissante des enquêtes auprès des patients

रोगी सर्वेक्षणों का बढ़ता महत्व

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