Geliver

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Startups of The Year 2023 Winners: Europe

Here we go again. It was supposed to be the shining beacon of academic research, a tool that could sift through mountains of data, offer accurate citations, and provide credible sources to enhance scholarly work. Scholar GPT, the supposed breakthrough in AI-driven academic assistance, was meant to revolutionize the way we gather information. It was supposed to be a reliable resource that combined the power of cutting-edge technology with the expertise of years of research, right? WRONG. Once again, we are confronted with a harsh reality that we have all come to dread when it comes to AI: It can’t be trusted. In a shocking revelation, Scholar GPT—this supposed paragon of academic assistance. However, when I was using it I found it to be providing inaccurate information and statistics. The very thing it was supposed to excel at—accuracy—has turned out to be a total farce. This is not just a minor blip. This is a massive blow to the credibility of AI as a source of reliable academic content. Scholar GPT, which touts itself as being trained on the most valid and credible sources, was providing data that didn’t match up with reputable research and statistics And let’s not ignore the glaring fact that the platform claims to reference “credible” academic papers, yet several of these so-called references were completely fabricated or misquoted. At this point, anyone still believing that AI like CHATGPT, or in this case, Scholar GPT, is a trustworthy partner in academic research is either naive or seriously misinformed. I’m sorry, but when you trust a tool that generates fake statistics or pulls sources out of thin air, you are opening the door to disaster in your academic work. Sure, you might say, "But these AI models are constantly improving!" Really? Because the last time I checked, they’re still feeding you half-baked data that could ruin your credibility in a split second. It’s one thing for AI to make a mistake on trivial things, but when it comes to providing factual, verifiable information to the world of academia, there is no room for error. The repercussions of getting this wrong aren’t just some theoretical debate about technology—they can have real-world consequences. Imagine citing a non-existent study or quoting a statistic that’s completely fabricated—your academic integrity, your reputation, and your work could all go down the drain. How does AI expect to replace credible research when it doesn’t even know what reliability looks like? And don’t even get me started on how CHATGPT itself is still far from trustworthy. The promises of AI revolutionizing everything from writing to research have clearly been wildly overstated. Sure, it might be able to string together sentences that sound decent, but that’s about it. When it comes to fact-checking, cross-referencing, and providing legitimate citations, it falls flat on its face. Even after all the hype and supposed advancements, AI still struggles with the most basic and vital aspect of academic work: accuracy. It’s no longer just a matter of missing the mark on a few minor details—AI systems like Scholar GPT and CHATGPT are actively contributing to the spread of misinformation, and that is unacceptable. The reality is that we cannot afford to blindly rely on AI in fields that demand precision and scholarly integrity. So let’s all take a deep breath and stop pretending that these so-called "academic tools" are the holy grail of research. They’re not. They are not ready to replace the critical thinking, in-depth knowledge, and meticulous verification that true scholars have spent years honing. And, quite frankly, they may never be. Until AI can be trusted to consistently provide accurate, reliable, and verifiable information, it remains nothing more than a tool that could derail your academic efforts. If you’re still putting your faith in Scholar GPT or any other AI-driven platform for your academic work, I hate to break it to you—but you’re on shaky ground. The truth is, AI just isn’t ready for the world of academia yet. Here we go again. It was supposed to be the shining beacon of academic research, a tool that could sift through mountains of data, offer accurate citations, and provide credible sources to enhance scholarly work. Scholar GPT , the supposed breakthrough in AI-driven academic assistance, was meant to revolutionize the way we gather information. It was supposed to be a reliable resource that combined the power of cutting-edge technology with the expertise of years of research, right? Scholar GPT WRONG. WRONG. Once again, we are confronted with a harsh reality that we have all come to dread when it comes to AI: It can’t be trusted. It can’t be trusted. In a shocking revelation, Scholar GPT—this supposed paragon of academic assistance. However, when I was using it I found it to be providing inaccurate information and statistics. The very thing it was supposed to excel at—accuracy—has turned out to be a total farce. This is not just a minor blip. This is a massive blow to the credibility of AI as a source of reliable academic content. Scholar GPT, which touts itself as being trained on the most valid and credible sources, was providing data that didn’t match up with reputable research and statistics And let’s not ignore the glaring fact that the platform claims to reference “credible” academic papers, yet several of these so-called references were completely fabricated or misquoted. At this point, anyone still believing that AI like CHATGPT , or in this case, Scholar GPT, is a trustworthy partner in academic research is either naive or seriously misinformed. I’m sorry, but when you trust a tool that generates fake statistics or pulls sources out of thin air, you are opening the door to disaster in your academic work. CHATGPT Sure, you might say, "But these AI models are constantly improving!" Really? Because the last time I checked, they’re still feeding you half-baked data that could ruin your credibility in a split second. It’s one thing for AI to make a mistake on trivial things, but when it comes to providing factual, verifiable information to the world of academia, there is no room for error. no room for error. The repercussions of getting this wrong aren’t just some theoretical debate about technology—they can have real-world consequences. Imagine citing a non-existent study or quoting a statistic that’s completely fabricated—your academic integrity, your reputation, and your work could all go down the drain. How does AI expect to replace credible research when it doesn’t even know what reliability looks like? And don’t even get me started on how CHATGPT itself is still far from trustworthy. The promises of AI revolutionizing everything from writing to research have clearly been wildly overstated. Sure, it might be able to string together sentences that sound decent, but that’s about it. CHATGPT wildly overstated. When it comes to fact-checking, cross-referencing, and providing legitimate citations, it falls flat on its face. Even after all the hype and supposed advancements, AI still struggles with the most basic and vital aspect of academic work: accuracy. fact-checking, cross-referencing, and providing legitimate citations, It’s no longer just a matter of missing the mark on a few minor details—AI systems like Scholar GPT and CHATGPT are actively contributing to the spread of misinformation, and that is unacceptable. The reality is that we cannot afford to blindly rely on AI in fields that demand precision and scholarly integrity. we cannot afford to blindly rely on AI So let’s all take a deep breath and stop pretending that these so-called "academic tools" are the holy grail of research. They’re not. They are not ready to replace the critical thinking, in-depth knowledge, and meticulous verification that true scholars have spent years honing. And, quite frankly, they may never be. Until AI can be trusted to consistently provide accurate, reliable, and verifiable information, it remains nothing more than a tool that could derail your academic efforts. If you’re still putting your faith in Scholar GPT or any other AI-driven platform for your academic work, I hate to break it to you—but you’re on shaky ground. The truth is, AI just isn’t ready for the world of academia yet.

Scholar GPT Fails To Deliver – A Wake-Up Call For The Trustworthiness of AI in Academia

How I Built the Nigerian News Reporter to Deliver Real-Time, Verified News in Local Languages

Half a year ago I was an Amazon driver in rural Germany, it was not at all fulfilling. I was working long hours and had no time to myself. One day I had to take a few weeks off from work to do some documents, and that's when I realized I did not want to go back to this job. So I turned to programming. I have always regretted not getting a CS degree when I had the chance earlier in my life, but I was at a make-it-break-it point because I did not want to be a delivery driver anymore. I went back to work but every morning I would get up early and do a free coding course which I finished in three weeks. After that, I went into another one which I also ended up finishing in three weeks. Now I had a solid foundation and basic understanding of web apps due to learning Django, but along with all of that, I was also introduced to React. React was very interesting to me so I decided to go in a direction where React would be a priority. So I found a MERN focused course and ended up almost finishing it fully. I did encounter a learning burnout (I had been studying daily for close to 6 months now…), it was due to be already being skilled enough to make my own projects and I was tired of learning. Now that I had a solid foundation I teamed up with my best friend to work on one of his projects, he tasked me with making the front end for this web app. After completion, I now had enough experience that I felt confident enough to try making my own full-stack web app. During Christmas, my mother visited and we talked about AI, she is a producer and during that time she was working on a movie about AI. From that, I got the idea of making a script-reading AI, since producers often get offered many scripts that they do not have time to read so they outsource that to script readers. So why not kill two birds with one stone and make AI do it? It will save time and money. So I ended up building AIScriptReader in a month using NextJS which I had to learn as I went because it seemed like an awesome tool to know. I also ended up running into issues with NextJS but I was too time invested in it so I had to make a Django microservice that uses Celery to deal with async functionality. Also, I ended up learning Docker and Caprover specifically to make this all work and allow for smooth and simple CI/CD. Now looking back on my journey I am amazed with what I have achieved in the short amount of time that I have spent, from where I was half a year ago to today. I think I was able to do it because I knew what I did not want to do, and I knew that I liked building things with computers. The point is, just do it. I did it all for free, thanks to the various online courses which I found online and even offer certificates. Do it a little at a time because the snowball will start rolling and you will be in a better place day by day. Half a year ago I was an Amazon driver in rural Germany, it was not at all fulfilling. I was working long hours and had no time to myself. One day I had to take a few weeks off from work to do some documents, and that's when I realized I did not want to go back to this job. So I turned to programming. I have always regretted not getting a CS degree when I had the chance earlier in my life, but I was at a make-it-break-it point because I did not want to be a delivery driver anymore. I went back to work but every morning I would get up early and do a free coding course which I finished in three weeks. After that, I went into another one which I also ended up finishing in three weeks. Now I had a solid foundation and basic understanding of web apps due to learning Django, but along with all of that, I was also introduced to React. React was very interesting to me so I decided to go in a direction where React would be a priority. So I found a MERN focused course and ended up almost finishing it fully. I did encounter a learning burnout (I had been studying daily for close to 6 months now…), it was due to be already being skilled enough to make my own projects and I was tired of learning. Now that I had a solid foundation I teamed up with my best friend to work on one of his projects, he tasked me with making the front end for this web app. After completion, I now had enough experience that I felt confident enough to try making my own full-stack web app. During Christmas, my mother visited and we talked about AI, she is a producer and during that time she was working on a movie about AI. From that, I got the idea of making a script-reading AI, since producers often get offered many scripts that they do not have time to read so they outsource that to script readers. So why not kill two birds with one stone and make AI do it? It will save time and money. So I ended up building AIScriptReader in a month using NextJS which I had to learn as I went because it seemed like an awesome tool to know. I also ended up running into issues with NextJS but I was too time invested in it so I had to make a Django microservice that uses Celery to deal with async functionality. Also, I ended up learning Docker and Caprover specifically to make this all work and allow for smooth and simple CI/CD. AIScriptReader Now looking back on my journey I am amazed with what I have achieved in the short amount of time that I have spent, from where I was half a year ago to today. I think I was able to do it because I knew what I did not want to do, and I knew that I liked building things with computers. The point is, just do it. I did it all for free, thanks to the various online courses which I found online and even offer certificates. Do it a little at a time because the snowball will start rolling and you will be in a better place day by day.

From Amazon delivery driver to deploying my Full-Stack app in 6 months

AI humanizers have become popular among online users who need help bypassing AI detectors like GPTZero and Originality.ai. Uncheck AI is one of many such AI tools that enables anyone to rewrite AI-generated content until it sounds more human-like. However, for those unfamiliar with what this tool is and what it can offer, then this detailed review is for you. We will dive deeper into Uncheck AI’s features, capabilities, pricing, and more. So, if you want to make your AI content undetectable, be sure to read on! What You Need To Know About Uncheck AI Uncheck AI is a powerful AI humanizer that can rewrite AI content until it is indistinguishable from human-written content. The platform employs advanced AI algorithms trained on millions of datasets of human-written texts. This exposure to a wide range of different writing styles enables it to go beyond simple word substitution. Instead, it makes comprehensive adjustments to aspects like wording, phrasing, and syntax. This enables it to mimic real human writers and produce natural-sounding content that can bypass any AI detector to attain high human scores. Uncheck AI also works with content generated by any AI writing tool, be it ChatGPT, Claude, Gemini, Jasper, etc. Besides that, the platform is versatile enough to humanize any type of content, which includes articles, reports, essays, and more. This makes it an accessible tool to users across a wide range of industries, fields, and professions. But the question is: how does it work? Well, the good news is that Uncheck AI is also designed to be user-friendly. The platform doesn’t come with any clunky or over-complicated elements, so navigation is easy even for first-time users. To get started, simply follow these simple steps below. Step 1: Copy/Paste the AI content into the Uncheck AI web portal. Step 2: Choose an AI bypass mode that meets your needs; Instant, Advanced, and Precise. Step 3: Once you click the ‘Humanize’ button, Uncheck AI will rewrite the content in seconds. Step 4: When ready, feel free to review the output before publishing or submitting it. It’s that simple! How Much Does Uncheck AI Cost? Uncheck AI caters well to all users by providing first-timers with 150 free credits. You don’t even need to submit any credit information to get started. This makes it a highly accessible platform for even the most budget-limited user looking to try out Uncheck AI for the first time. Uncheck AI also offers multiple premium options starting with the ‘Basic’ plan that starts at $6.99/month for 5,000 words. There is also the Pro plan for $12.99/month which offers 50,000 words and the ‘Unlimited’ plan, which costs $34.99/month. Each of these plans comes with its own unique set of features, so you can choose the one that best suits your needs. For instance, students can sign up for the Pro plan to humanize their AI assignments and papers with 50,000 words/month. This allows them to ensure their content adheres to strict academic policies without spending a lot of money. Bloggers and marketers can opt for the ‘Unlimited’ plan to humanize their bulk articles for greater readability and engagement. What Key Features Does Uncheck AI Offer? Several aspects give Uncheck AI an edge over most other AI humanization tools in the current market. Let’s quickly break down some of these key features in detail below. Powerful AI Bypass Technology Uncheck AI employs state-of-the-art AI bypass technology that can outsmart any AI detector, no matter how stringent it may be. This includes advanced AI checkers like GPTZero, Originality.ai, ZeroGPT, and more. Advanced AI Humanization Techniques Uncheck AI uses advanced AI humanization techniques that effectively mimic real human writing styles. As a result, the rewritten output typically sounds authentic and natural enough to not only achieve 100% human scores but also retain reader engagement. Multiple AI Bypass Modes Uncheck AI comes with multiple AI bypass options to choose from for humanizing your AI content. ‘Instant’ delivers fast rewrites, ‘Advanced’ applies aggressive changes, and ‘Precise’ makes intelligent adjustments to beat the most advanced AI detectors. Built-In AI Checker Uncheck AI comes with a built-in AI checker that is integrated with several popular AI detectors like GPTZero, Content at Scale, Copyleaks, and others. Instead of having to scan your content on each platform, it will provide consolidated AI scores in one place. Does Uncheck AI Truly Work? We’ve explored what Uncheck AI has to offer but ultimately, the main question that needs to be answered is: Does it truly make AI content undetectable? To put this to the test, we decided to generate some content on ChatGPT. You can check out the AI content below. We then scanned the ChatGPT content on three AI detectors: GPTZero, Originality.ai, and ZeroGPT. Each platform verified the text is AI-generated, as you can see below. Next, we headed over to Uncheck AI and humanized the AI content. You can see the output below. Once again, we scanned the new text on all three AI detectors. Check out the results of the humanized content below. ** As you can see, Uncheck AI does have the capability to beat even the most stringent AI detectors out there. All three tools successfully scanned the rewritten text as human-written, which is nothing short of impressive, to say the least. Suffice it to say that this AI humanizer can be relied on to deliver exceptional results. Conclusion To sum it all up, Uncheck AI is an AI humanization tool that we have proven to be capable of making AI content undetectable. With superior AI bypass capabilities, quality output, and a user-friendly interface, this platform is undoubtedly a great solution that can take your AI content writing to the next level. So, if you haven’t, be sure to go check out Uncheck AI now! This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author AI humanizers have become popular among online users who need help bypassing AI detectors like GPTZero and Originality.ai. Uncheck AI is one of many such AI tools that enables anyone to rewrite AI-generated content until it sounds more human-like. Uncheck AI Uncheck AI However, for those unfamiliar with what this tool is and what it can offer, then this detailed review is for you. We will dive deeper into Uncheck AI’s features, capabilities, pricing, and more. So, if you want to make your AI content undetectable, be sure to read on! What You Need To Know About Uncheck AI Uncheck AI is a powerful AI humanizer that can rewrite AI content until it is indistinguishable from human-written content. The platform employs advanced AI algorithms trained on millions of datasets of human-written texts. This exposure to a wide range of different writing styles enables it to go beyond simple word substitution. Instead, it makes comprehensive adjustments to aspects like wording, phrasing, and syntax. This enables it to mimic real human writers and produce natural-sounding content that can bypass any AI detector to attain high human scores. Uncheck AI also works with content generated by any AI writing tool, be it ChatGPT, Claude, Gemini, Jasper, etc. bypass any AI detector Besides that, the platform is versatile enough to humanize any type of content, which includes articles, reports, essays, and more. This makes it an accessible tool to users across a wide range of industries, fields, and professions. But the question is: how does it work? Well, the good news is that Uncheck AI is also designed to be user-friendly. The platform doesn’t come with any clunky or over-complicated elements, so navigation is easy even for first-time users. To get started, simply follow these simple steps below. Step 1: Copy/Paste the AI content into the Uncheck AI web portal . Uncheck AI web portal Uncheck AI web portal Step 2: Choose an AI bypass mode that meets your needs; Instant, Advanced, and Precise. Step 3: Once you click the ‘Humanize’ button, Uncheck AI will rewrite the content in seconds. Step 4: When ready, feel free to review the output before publishing or submitting it. It’s that simple! How Much Does Uncheck AI Cost? Uncheck AI caters well to all users by providing first-timers with 150 free credits. You don’t even need to submit any credit information to get started. This makes it a highly accessible platform for even the most budget-limited user looking to try out Uncheck AI for the first time. Uncheck AI also offers multiple premium options starting with the ‘Basic’ plan that starts at $6.99/month for 5,000 words. There is also the Pro plan for $12.99/month which offers 50,000 words and the ‘Unlimited’ plan, which costs $34.99/month. Each of these plans comes with its own unique set of features, so you can choose the one that best suits your needs. For instance, students can sign up for the Pro plan to humanize their AI assignments and papers with 50,000 words/month. This allows them to ensure their content adheres to strict academic policies without spending a lot of money. Bloggers and marketers can opt for the ‘Unlimited’ plan to humanize their bulk articles for greater readability and engagement. What Key Features Does Uncheck AI Offer? Several aspects give Uncheck AI an edge over most other AI humanization tools in the current market. Let’s quickly break down some of these key features in detail below. Powerful AI Bypass Technology Uncheck AI employs state-of-the-art AI bypass technology that can outsmart any AI detector, no matter how stringent it may be. This includes advanced AI checkers like GPTZero, Originality.ai, ZeroGPT, and more. Advanced AI Humanization Techniques Uncheck AI uses advanced AI humanization techniques that effectively mimic real human writing styles. As a result, the rewritten output typically sounds authentic and natural enough to not only achieve 100% human scores but also retain reader engagement. advanced AI humanization techniques Multiple AI Bypass Modes Uncheck AI comes with multiple AI bypass options to choose from for humanizing your AI content. ‘Instant’ delivers fast rewrites, ‘Advanced’ applies aggressive changes, and ‘Precise’ makes intelligent adjustments to beat the most advanced AI detectors. Built-In AI Checker Uncheck AI comes with a built-in AI checker that is integrated with several popular AI detectors like GPTZero, Content at Scale, Copyleaks, and others. Instead of having to scan your content on each platform, it will provide consolidated AI scores in one place. Does Uncheck AI Truly Work? We’ve explored what Uncheck AI has to offer but ultimately, the main question that needs to be answered is: Does it truly make AI content undetectable? To put this to the test, we decided to generate some content on ChatGPT. You can check out the AI content below. We then scanned the ChatGPT content on three AI detectors: GPTZero, Originality.ai, and ZeroGPT. Each platform verified the text is AI-generated, as you can see below. Next, we headed over to Uncheck AI and humanized the AI content. You can see the output below. Once again, we scanned the new text on all three AI detectors. Check out the results of the humanized content below. ** As you can see, Uncheck AI does have the capability to beat even the most stringent AI detectors out there. All three tools successfully scanned the rewritten text as human-written, which is nothing short of impressive, to say the least. Suffice it to say that this AI humanizer can be relied on to deliver exceptional results. Conclusion To sum it all up, Uncheck AI is an AI humanization tool that we have proven to be capable of making AI content undetectable. With superior AI bypass capabilities, quality output, and a user-friendly interface, this platform is undoubtedly a great solution that can take your AI content writing to the next level. So, if you haven’t, be sure to go check out Uncheck AI now! This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author This story was distributed by Margrowth under HackerNoon’s Brand As An Author Program. Learn more about the program here: https://business.hackernoon.com/brand-as-author https://business.hackernoon.com/brand-as-author

Uncheck AI Review: Can This AI Humanizer Truly Deliver Undetectable AI Content?

Премахнете отметката от AI Review: Може ли този AI Humanizer наистина да достави неоткриваемо AI съдържание?

Revisión de Uncheck AI: ¿Puede este humanizador de IA ofrecer realmente contenido de IA indetectable?

Desmarkatu AI berrikuspena: AI Humanizer honek benetan eman al dezake AI edukia hautemanezin?

Poista valinta AI-tarkastelusta: Voiko tämä AI Humanizer todella toimittaa havaitsematonta tekoälysisältöä?

Examen d'Uncheck AI : cet humaniseur d'IA peut-il vraiment fournir un contenu d'IA indétectable ?

Dezaktive AI Revizyon: Èske AI Humanizer sa a ka vrèman delivre kontni AI ki pa detekte?

Uncheck AI レビュー: この AI Humanizer は本当に検出不可能な AI コンテンツを提供できるのか?

AI qhawayta mana qhawaychu: ¿Kay AI Runachiq Chiqamanta mana tariy atina AI Contenidota quyta atinmanchu?

Uncheck AI Ongororo: Iyi AI Humanizer Inogona Kunyatso Kuburitsa Isingaonekwe AI Zvemukati?

Ondosha Uhakiki wa AI: Je, Kibinafsi hiki cha AI kinaweza Kutoa Maudhui Yanayotambulika ya AI?

Alisan ng tsek ang Pagsusuri ng AI: Ang AI Humanizer ba na ito ay Tunay na Maghahatid ng Hindi Nakikitang Nilalaman ng AI?

取消选中 AI 评论：这款 AI 人性化器真的可以提供无法检测的 AI 内容吗？

**ZUG, Switzerland, October 17th, 2024/Chainwire/--**Most zero-knowledge proofs are generated server-side for scaling, but Aleph Zero’s zkOS does that directly on users’ devices, offering privacy in a fraction of second. Aleph Zero, the leading blockchain platform recognized for its focus on privacy and scalability, announces the launch of the first feature of zkOS (zero-knowledge operating system)—Shielding, on its EVM Testnet. This release marks the first opportunity for users to experience the shielding feature of zkOS in action, demonstrating the speed and privacy capabilities of Aleph Zero’s zero-knowledge proof (ZK) technology optimizations. Privacy at Lightning Speed The Shielding Demo release is a significant milestone for Aleph Zero, representing its commitment to developing practical privacy solutions for the blockchain industry. Aleph Zero’s zkOS enables zero-knowledge proofs to be generated client-side—meaning data is encrypted locally on the user’s device and never leaves unencrypted—providing high levels of privacy without compromising transaction speed. The Shielding Demo serves as the first practical interface for users to experience this privacy functionality, with zero-knowledge proofs generated within 0.5-3 seconds, ensuring that privacy has minimal impact on transaction performance. “Privacy has long been a challenge in blockchain, often due to poor user experience,” said Adam Gagol, Co-Founder & CTO of Aleph Zero. “With today’s release, we’re delivering one of the fastest client-side ZK directly to users, combining privacy and performance. The release of the Shielding Demo offers a glimpse into how zkOS can bring privacy to DeFi without sacrificing speed or usability.” How the Shielding Demo Works The Shielding Demo provides an intuitive interface for users to test Aleph Zero’s zkOS privacy layer. Here’s how it works: Data Privacy: zkOS generates zero-knowledge proofs locally on the user’s device, ensuring that data remains private and secure.
Transaction Flow: Users generate ZK proofs, send transactions to a relayer, and then they are executed on-chain—all while maintaining privacy.
Fast Proving Times: The system delivers ZK proofs in 0.5-3 seconds on most devices, demonstrating zkOS’s speed and its minimal impact on transaction times. The Testnet version of zkOS allows users to interact with the system and witness its capabilities, though Aleph Zero notes that the privacy features will be built directly into the upcoming Common app. Why zkOS Matters: A Glimpse Into the Future The launch of the Shielding Demo on Testnet is only the beginning. Aleph Zero's roadmap for zkOS extends far beyond this initial release, with ongoing work on simplifying the user experience and the introduction of additional privacy features, such as ZK-ID and anonymity revokers, to ensure both privacy and protection against fraudulent use of the platform. The system is designed to be easily integrated by developers, providing a privacy framework that requires minimal cryptographic knowledge. This simplicity, combined with Aleph Zero’s rapid client-side ZK proof generation, makes zkOS a critical tool for developers building privacy-centric applications across DeFi and other web3 sectors. Unlocking Privacy for New Use Case The privacy space in blockchain has been facing increased challenges, such as regulatory scrutiny and delistings, often due to concerns over non-compliance. Aleph Zero’s zkOS offers a fresh approach by delivering privacy solutions that balance user confidentiality with regulatory requirements. Instead of focusing solely on anonymity, zkOS is designed to meet both the needs of users and the evolving demands of compliance. zkOS enables users to manage their assets securely across multiple blockchains, ensuring their transactions remain private. Unlike traditional privacy methods that rely on centralized or hardware-based systems, zkOS operates directly on the client-side, safeguarding privacy without external dependencies. Next Steps for Aleph Zero As the Testnet release progresses, Aleph Zero is focusing on refining Shielding and zkOS for its Mainnet deployment. Users who engage with the Shielding Demo will have the opportunity to be whitelisted for upcoming zkOS Beta testing on Aleph Zero’s EVM Mainnet. About Aleph Zero Aleph Zero is an ecosystem of blockchain solutions that are engineered for speed, data confidentiality, and ease of development. It achieves efficiencies akin to conventional web2 systems, upholds rigorous standards for data protection via zero-knowledge proofs (ZKP), and offers a comprehensive toolset for development across web3, ranging from WASM-based Rust to EVM-based Solidity environments. Aleph Zero’s versatility is highlighted by over 40 use cases being actively developed, showcasing its adaptability across various sectors and applications. These use cases are part of an engaged community and growing ecosystem of web3 applications supported by Aleph Zero programs. For more information, visit https://alephzero.org/. For any inquiries about this release, please contact josh@serotonin.co or ana@serotonin.co. Contact PR Manager Josh Adams Aleph Zero josh@serotonin.co This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. **ZUG, Switzerland, October 17th, 2024/Chainwire/--**Most zero-knowledge proofs are generated server-side for scaling, but Aleph Zero’s zkOS does that directly on users’ devices, offering privacy in a fraction of second. Aleph Zero , the leading blockchain platform recognized for its focus on privacy and scalability, announces the launch of the first feature of zkOS (zero-knowledge operating system)—Shielding, on its EVM Testnet. This release marks the first opportunity for users to experience the shielding feature of zkOS in action, demonstrating the speed and privacy capabilities of Aleph Zero’s zero-knowledge proof (ZK) technology optimizations. Aleph Zero Aleph Zero zkOS zkOS Privacy at Lightning Speed The Shielding Demo release is a significant milestone for Aleph Zero, representing its commitment to developing practical privacy solutions for the blockchain industry. Aleph Zero’s zkOS enables zero-knowledge proofs to be generated client-side—meaning data is encrypted locally on the user’s device and never leaves unencrypted—providing high levels of privacy without compromising transaction speed. Shielding Demo Shielding Demo The Shielding Demo serves as the first practical interface for users to experience this privacy functionality, with zero-knowledge proofs generated within 0.5-3 seconds, ensuring that privacy has minimal impact on transaction performance. “Privacy has long been a challenge in blockchain, often due to poor user experience,” said Adam Gagol, Co-Founder & CTO of Aleph Zero. “With today’s release, we’re delivering one of the fastest client-side ZK directly to users, combining privacy and performance. The release of the Shielding Demo offers a glimpse into how zkOS can bring privacy to DeFi without sacrificing speed or usability.” “Privacy has long been a challenge in blockchain, often due to poor user experience,” said Adam Gagol, Co-Founder & CTO of Aleph Zero. “With today’s release, we’re delivering one of the fastest client-side ZK directly to users, combining privacy and performance. The release of the Shielding Demo offers a glimpse into how zkOS can bring privacy to DeFi without sacrificing speed or usability.” How the Shielding Demo Works The Shielding Demo provides an intuitive interface for users to test Aleph Zero’s zkOS privacy layer. Here’s how it works: Data Privacy: zkOS generates zero-knowledge proofs locally on the user’s device, ensuring that data remains private and secure. Transaction Flow: Users generate ZK proofs, send transactions to a relayer, and then they are executed on-chain—all while maintaining privacy. Fast Proving Times: The system delivers ZK proofs in 0.5-3 seconds on most devices, demonstrating zkOS’s speed and its minimal impact on transaction times. Data Privacy: zkOS generates zero-knowledge proofs locally on the user’s device, ensuring that data remains private and secure. Transaction Flow: Users generate ZK proofs, send transactions to a relayer, and then they are executed on-chain—all while maintaining privacy. Fast Proving Times: The system delivers ZK proofs in 0.5-3 seconds on most devices, demonstrating zkOS’s speed and its minimal impact on transaction times. The Testnet version of zkOS allows users to interact with the system and witness its capabilities, though Aleph Zero notes that the privacy features will be built directly into the upcoming Common app. Why zkOS Matters: A Glimpse Into the Future The launch of the Shielding Demo on Testnet is only the beginning. Aleph Zero's roadmap for zkOS extends far beyond this initial release, with ongoing work on simplifying the user experience and the introduction of additional privacy features, such as ZK-ID and anonymity revokers, to ensure both privacy and protection against fraudulent use of the platform. The system is designed to be easily integrated by developers, providing a privacy framework that requires minimal cryptographic knowledge. This simplicity, combined with Aleph Zero’s rapid client-side ZK proof generation, makes zkOS a critical tool for developers building privacy-centric applications across DeFi and other web3 sectors. Unlocking Privacy for New Use Case The privacy space in blockchain has been facing increased challenges, such as regulatory scrutiny and delistings, often due to concerns over non-compliance. Aleph Zero’s zkOS offers a fresh approach by delivering privacy solutions that balance user confidentiality with regulatory requirements. Instead of focusing solely on anonymity, zkOS is designed to meet both the needs of users and the evolving demands of compliance. zkOS enables users to manage their assets securely across multiple blockchains, ensuring their transactions remain private. Unlike traditional privacy methods that rely on centralized or hardware-based systems, zkOS operates directly on the client-side, safeguarding privacy without external dependencies. Next Steps for Aleph Zero As the Testnet release progresses, Aleph Zero is focusing on refining Shielding and zkOS for its Mainnet deployment. Users who engage with the Shielding Demo will have the opportunity to be whitelisted for upcoming zkOS Beta testing on Aleph Zero’s EVM Mainnet. About Aleph Zero Aleph Zero is an ecosystem of blockchain solutions that are engineered for speed, data confidentiality, and ease of development. It achieves efficiencies akin to conventional web2 systems, upholds rigorous standards for data protection via zero-knowledge proofs (ZKP), and offers a comprehensive toolset for development across web3, ranging from WASM-based Rust to EVM-based Solidity environments. Aleph Zero’s versatility is highlighted by over 40 use cases being actively developed, showcasing its adaptability across various sectors and applications. These use cases are part of an engaged community and growing ecosystem of web3 applications supported by Aleph Zero programs. For more information, visit https://alephzero.org/ . For any inquiries about this release, please contact josh@serotonin.co or ana@serotonin.co. https://alephzero.org/ https://alephzero.org/ Contact PR Manager Josh Adams Aleph Zero josh@serotonin.co This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

Aleph Zero Launches Subsecond Shielding on Testnet, Delivering Client-Side ZK Privacy For DeFi

Aleph Zero стартира Subsecond Shielding в Testnet, предоставяйки ZK поверителност от страна на клиента за DeFi

Aleph Zero pokreće Subsecond Shielding na Testnetu, pružajući ZK privatnost na strani klijenta za DeFi

Aleph Zero spouští Subsecond Shielding na Testnetu a poskytuje soukromí ZK na straně klienta pro DeFi

Aleph Zero lanza protección de subsegundos en Testnet, brindando privacidad ZK del lado del cliente para DeFi

Aleph Zero-k Testnet-en azpisegundoko babesa abiarazten du, DeFi-rako bezeroaren aldetik ZK pribatutasuna eskainiz

Aleph Zero lanse Subsecond Shielding sou Testnet, bay konfidansyalite ZK bò kliyan pou DeFi.

Aleph Zero がテストネットでサブセカンドシールドを開始、DeFi にクライアント側の ZK プライバシーを提供

Aleph Zero Abandi Blindage ya Sous-second na Testnet, Azali Kopesa Bomoi Ya ZK Ya Côté Client Pona DeFi

Aleph Zero ievieš apakšsekundes ekrānu tīklā Testnet, nodrošinot klienta puses ZK konfidencialitāti DeFi

الیف زیرو په ټیسټنیټ کې فرعي ثانیې شیلډینګ پیل کړ ، د DeFi لپاره د پیرودونکي اړخ ZK محرمیت وړاندې کوي

ኣለፍ ዜሮ ኣብ ቴስትኔት ንኡስ ካልኢት ሺልዲንግ ኣበጊሱ፡ ንዲፊ ብወገን ዓሚል ZK ብሕታዊነት ኣቕሪቡ።

I-Aleph Zero ikhupha i-Subsecond Shielding kwi-Testnet, ihambisa uMthengi-kwicala le-ZK yaBucala kwi-DeFi

Are You Hungry, Bro? Let’s Hack Your Favorite Food Delivery App

هل أنت جائع يا أخي؟ دعنا نجرب تطبيق توصيل الطعام المفضل لديك

¿Tienes hambre, hermano? Vamos a hackear tu aplicación de entrega de comida favorita

Tu as faim, mon pote ? Hackons votre application de livraison de repas préférée

Ou grangou bro? Ann Hack App Livrezon Manje Pi renmen ou a

Éhes vagy, tesó? Hackeljük meg kedvenc ételkiadó alkalmazását

Lapar, Bro? Yuk Retas Aplikasi Pengiriman Makanan Favoritmu

Hai fame, fratello? Facciamo un hack della tua app di consegna di cibo preferita

お腹が空いていますか？お気に入りのフードデリバリーアプリをハックしてみましょう

Vai tu esi izsalcis, brāli? Uzlauzsim jūsu iecienītāko ēdienu piegādes lietotni

Adakah Anda Lapar, Bro? Mari Menggodam Apl Penghantaran Makanan Kegemaran Anda

A je i uritur, vëlla? Le të hakojmë aplikacionin tuaj të shpërndarjes së ushqimit të preferuar

Ulambile, Bro? Masisebenzise uhlelo lwakho lokusebenza oluthandayo lokulethwa kokudla

TORRANCE, United States / California, September 11th, 2024/CyberNewsWire/--Criminal IP, a distinguished leader in Cyber Threat Intelligence (CTI) search engine developed by AI SPERA, announced that it has successfully integrated its IP address-related risk detection data with IPLocation.io, one of the most visited IP analysis and lookup tools on the internet. Through the integration, IPLocation.io, a prominent IP address geolocation tracker platform with a substantial user base, now offers more detailed insights on IP addresses from Criminal IP's accurate and up-to-date threat intelligence database. Innovative Data Ecosystem Driven by Search Engine and AI Expertise This is a groundbreaking advancement because Criminal IP’s database, built on a search engine framework, is more than a collection of information; it's a refined machine learning ecosystem honed through extensive scanning and detection of malicious IP addresses. The system continuously enhances its accuracy by transforming self-collected threat data, particularly behavioral patterns for IP address evasion, into actionable intelligence using AI and machine learning techniques. Tracking Down Threat History With Snort And Scanner Information Unlike traditional IP tracking methods, which only provide the geographic location of IP addresses, Criminal IP data in IPLocation.io now delivers information from ‘Snort’, a network intrusion detection system, and vulnerability scanners on open ports. This, along with newly provided inbound and outbound scores of IP addresses, enables the comprehensive identification of threat information related to IP addresses. Users can now compile the information themselves to assess the risk of an IP address, supported by a variety of fact-based evidence. Threat data from Criminal IP accessible on IPLocation.io website Among IP Location Lookup data sources, Criminal IP provides the most comprehensive data, offering 25 distinct data points for a single IP address. Evasion-Focused Dynamic Pattern Analysis Unveils Potential Attack Scenarios Users can also detect IP address obfuscation and protect their assets with new VPN, Proxy, and Tor data in IP Location. The aforementioned data helps identify discrepancies between actual and reported locations of an IP address, as well as traffic routed through multiple servers, thus revealing potential threats. The system goes beyond a mere review of past records; it offers predictive insights into future risks by analyzing behavioral patterns and potential attack scenarios. This underscores the CTI database’s distinctive capability to continuously learn and analyze attack patterns executed online. About AI SPERA AI SPERA equips cybersecurity professionals with advanced tools and insights to protect digital assets. Its flagship products include Criminal IP, renowned for its AI-based search engine, as well as attack surface management and fraud detection for enterprise solutions. The firm's established presence in major marketplaces like AWS and Snowflake further underscores its credibility and the trust placed in its services by leading industry players. Recently, AI SPERA achieved Level 1 certification under PCI DSS v4.0, overseen by the six leading global card issuers, showcasing its commitment to top-tier data security. Contact Michael Sena AI SPERA support@aispera.com This story was distributed as a release by Cyberwire under HackerNoon’s Business Blogging Program. Learn more about the program here. TORRANCE, United States / California, September 11th, 2024/CyberNewsWire/--Criminal IP, a distinguished leader in Cyber Threat Intelligence (CTI) search engine developed by AI SPERA, announced that it has successfully integrated its IP address-related risk detection data with IPLocation.io, one of the most visited IP analysis and lookup tools on the internet. Through the integration, IPLocation.io, a prominent IP address geolocation tracker platform with a substantial user base, now offers more detailed insights on IP addresses from Criminal IP's accurate and up-to-date threat intelligence database. Innovative Data Ecosystem Driven by Search Engine and AI Expertise This is a groundbreaking advancement because Criminal IP’s database, built on a search engine framework, is more than a collection of information; it's a refined machine learning ecosystem honed through extensive scanning and detection of malicious IP addresses. The system continuously enhances its accuracy by transforming self-collected threat data, particularly behavioral patterns for IP address evasion, into actionable intelligence using AI and machine learning techniques. Tracking Down Threat History With Snort And Scanner Information Unlike traditional IP tracking methods, which only provide the geographic location of IP addresses, Criminal IP data in IPLocation.io now delivers information from ‘Snort’, a network intrusion detection system, and vulnerability scanners on open ports. This, along with newly provided inbound and outbound scores of IP addresses, enables the comprehensive identification of threat information related to IP addresses. Users can now compile the information themselves to assess the risk of an IP address, supported by a variety of fact-based evidence. Threat data from Criminal IP accessible on IPLocation.io website Among IP Location Lookup data sources, Criminal IP provides the most comprehensive data, offering 25 distinct data points for a single IP address. Evasion-Focused Dynamic Pattern Analysis Unveils Potential Attack Scenarios Users can also detect IP address obfuscation and protect their assets with new VPN, Proxy, and Tor data in IP Location. The aforementioned data helps identify discrepancies between actual and reported locations of an IP address, as well as traffic routed through multiple servers, thus revealing potential threats. The system goes beyond a mere review of past records; it offers predictive insights into future risks by analyzing behavioral patterns and potential attack scenarios. This underscores the CTI database’s distinctive capability to continuously learn and analyze attack patterns executed online. About AI SPERA AI SPERA equips cybersecurity professionals with advanced tools and insights to protect digital assets. Its flagship products include Criminal IP, renowned for its AI-based search engine, as well as attack surface management and fraud detection for enterprise solutions. The firm's established presence in major marketplaces like AWS and Snowflake further underscores its credibility and the trust placed in its services by leading industry players. Recently, AI SPERA achieved Level 1 certification under PCI DSS v4.0, overseen by the six leading global card issuers, showcasing its commitment to top-tier data security. Contact Michael Sena AI SPERA support@aispera.com This story was distributed as a release by Cyberwire under HackerNoon’s Business Blogging Program. Learn more about the program here. This story was distributed as a release by Cyberwire under HackerNoon’s Business Blogging Program. Learn more about the program here . here here

Criminal IP Teams Up with IPLocation.io To Deliver Unmatched IP Solutions To Global Audiences

Criminal IP се обединява с IPLocation.io, за да предостави несравними IP решения на глобалната публика

Criminal IP se udružuje sa IPLocation.io kako bi globalnoj publici pružio neusporediva IP rješenja

Criminal IP se asocia con IPLocation.io para ofrecer soluciones de propiedad intelectual inigualables a audiencias globales

IP פלילי משתף פעולה עם IPLocation.io כדי לספק פתרונות IP ללא תחרות לקהלים גלובליים

Criminal IP が IPLocation.io と提携し、比類のない IP ソリューションを世界中のユーザーに提供

IP ឧក្រិដ្ឋកម្មសហការជាមួយ IPLocation.io ដើម្បីផ្តល់ដំណោះស្រាយ IP ដែលមិនផ្គូផ្គងដល់ទស្សនិកជនសកល

Criminal IP가 IPLocation.io와 협력하여 글로벌 대상 고객에게 타의 추종을 불허하는 IP 솔루션 제공

IP ຄະດີອາຍາຮ່ວມກັບ IPLocation.io ເພື່ອສົ່ງການແກ້ໄຂ IP ທີ່ບໍ່ກົງກັນກັບຜູ້ຊົມທົ່ວໂລກ

Criminal IP се здружува со IPLocation.io за да испорача неспоредливи IP решенија до глобалната публика

Criminal IP werkt samen met IPLocation.io om ongeëvenaarde IP-oplossingen te leveren aan een wereldwijd publiek

جرمي IP د IPLocation.io سره یوځای کیږي ترڅو نړیوالو لیدونکو ته بې مثاله IP حلونه وړاندې کړي

Criminal IP ร่วมมือกับ IPLocation.io เพื่อนำเสนอโซลูชัน IP ที่ไม่มีใครเทียบได้ให้กับผู้ชมทั่วโลก

It can be tough for fresh e-commerce startups to compete with the big names (not to mention the millions of competitors you must contend with), but sometimes, all it takes is a little innovation to make a name for yourself and stand out from the crowd. For tech innovator and startup founder Raj Jaiswal, e-commerce success means leveraging modern technology to solve specific and significant customer problems while staying nimble in a digital market that’s always changing. To strike this balance, Raj embarked on a journey of trial and error, diverse experiences, and personal growth — gaining valuable insights from every step along the way. Learn more about the challenges he’s discovered in e-commerce entrepreneurship, how he’s blended tech acumen with business savvy, and how he’s changing the face of e-commerce with Neyon. The Challenges That Early-Stage E-Commerce Startups Face Raj knows full well that startups face a lot of challenges, especially when coming up with the right ideas, building a solid team, and knowing when to pivot. For example, about 32% of innovation failures happen because the wrong idea is chosen. Surprisingly, many entrepreneurs put too much money and effort into refining a product without checking if customers even want it or are willing to pay for it. When it comes to building a team, Raj knows that the success of any given startup depends largely on the people behind it. Even with a groundbreaking idea, any new startup will likely fail (60% of the time, no less) if it doesn’t have a strong and adaptable team to bring that idea to life. That’s because technical skills and experience aren’t the only ingredients for success — passion, a shared vision, and creativity are what truly drive a startup forward. Finally, Raj notes that an inability to pivot when things aren’t going as planned (like a change in leadership or market demand) is a sign of a rigid team. It’s one of the top reasons that startups don’t make it. But while it can be a challenge, 94% of companies that successfully pivot are more likely to keep innovating. This not only keeps their ideas fresh but also makes them more appealing to venture capitalists, boosting their chances of securing funding. To tackle these challenges, Raj is turning to artificial intelligence — and in doing so, he’s bringing efficient workflows and scalable infrastructure to modern e-commerce. The Building Blocks of Innovation: How Raj Jaiswal Learned to Blend Technical Skills with Entrepreneurship In Gujarat, India, entrepreneurship is practically in the water. Growing up there, Raj Jaiswal was surrounded by a culture that celebrates building something from scratch. On top of the local culture, his parents were both entrepreneurs, and as Raj watched them build their businesses, it sparked a love for innovation and problem-solving that paired nicely with his fascination for technology. Upon reaching adulthood, Raj decided to take a leap and move to the U.S., eager to dive into the world of tech startups. His big break came when his first startup got accepted into Brown University’s Summer B-Lab incubator. This initial experience building a startup was in the form of an on-campus delivery platform called Fetchum. It was here that Raj created real-time matching algorithms and built multi-profile app interfaces that made it easier for students to connect with local vendors and get their deliveries quickly. But Fetchum also taught him the unpredictable nature of entrepreneurship and the importance of pivoting when challenges arise. “When my co-founder at Fetchum had to step down,” Raj explains, “I unexpectedly took on the role of CEO in addition to my CTO duties, handling everything from fundraising to operations.” This experience pushed him to quickly master time management, seek mentorship, and broaden his skills beyond tech — making him a more adaptable and well-rounded leader. In his next role, Raj got a firsthand look at how crucial solid ideation is. One of his proudest achievements was his work at Circulation, a health-tech startup that modernized non-emergency medical transportation (NEMT). As one of the organization’s early engineers, Raj was instrumental in building the core technology behind the platform, including developing its scheduling and booking systems and integrating it with ride-sharing platforms like Uber and Lyft. It was through this experience that Raj learned the value of creating a solution that truly solves a customer’s problem. “It wasn’t just about building impressive tech,” he says. “It was about understanding the real needs of patients who struggled to get to medical appointments.” The success of Circulation, which led to its acquisition by ModivCare, showed him that a smart idea only works if it addresses a genuine need and if there’s a strong, adaptable team to bring it to life. Next, at GoPuff, a fast-growing delivery startup, Raj Jaiswal used his technical skills to tackle big challenges in supply chain management. Leading a team of six, he developed systems for real-time procurement enabled by real-time demand forecasting and improved how the company processed and stored large amounts of data. By leveraging complex data migration strategies to optimize these workflows, Raj saved the company 90% in supply chain data storage costs while ensuring a reliable procurement process. How Neyon Revolutionizes E-commerce Raj is now channeling his passion into his new startup, Neyon, which is set to shake up online shopping. With Neyon, he’s building an AI-powered search engine focused on the apparel industry, aiming to make shopping more intuitive, personalized, and efficient. Leveraging cutting-edge natural language processing, computer vision, and machine learning, Neyon will have a robust suite of tools like image recognition and conversational AI that understand what customers are looking for and help them find it faster. “I had an ‘aha’ moment while trying to find a specific coat online,” Raj recalls. “After 30 minutes of searching with no luck, I thought, ‘There has to be a better way.’ That frustration was the spark that led to Neyon.” With Neyon, Raj believes that AI can bridge the gap between what shoppers imagine and what they find online. It isn’t just about making shopping easier; it’s about solving a real customer problem — helping people discover the relevant and stylish clothes they truly want. While Neyon’s tech is powered by AI, Raj credits his success to the insights he’s gained throughout his journey. “I spotted this major customer pain point because my time at startups taught me to see the real impact of a problem and whether a solution can truly take off." He also credits Neyon’s ability to pivot and adapt to his team-building experience. “I’m confident Neyon can handle whatever the e-commerce market throws our way because I’ve built a team that’s not just packed with tech skills but also knows how to think creatively to solve problems.” Going Beyond Innovation With Raj Jaiswal But Raj’s vision goes beyond Neyon. As the NYC Ambassador for the Brown University Alumni Entrepreneurship Group, he mentors alumni, organizes events, and builds connections within the startup community. By sharing his experiences and guiding aspiring entrepreneurs, Raj is committed to shaping the next generation of tech innovators. “This way,” Raj says, “we can build a future where AI technology and innovation truly serve people, not just profits. That’s the core lesson startups need to remember.” Raj Jaiswal believes that true startup success comes from balancing tech innovation with essential entrepreneurship skills. His journey, shaped by the promise of AI and the pitfalls of overlooking the bigger picture, taught him the importance of mastering ideation, team building, and pivoting to revolutionize consumer tech. Want to learn more? Check out Neyon, and follow Raj on LinkedIn. It can be tough for fresh e-commerce startups to compete with the big names (not to mention the millions of competitors you must contend with), but sometimes, all it takes is a little innovation to make a name for yourself and stand out from the crowd. For tech innovator and startup founder Raj Jaiswal, e-commerce success means leveraging modern technology to solve specific and significant customer problems while staying nimble in a digital market that’s always changing. To strike this balance, Raj embarked on a journey of trial and error, diverse experiences, and personal growth — gaining valuable insights from every step along the way. Learn more about the challenges he’s discovered in e-commerce entrepreneurship, how he’s blended tech acumen with business savvy, and how he’s changing the face of e-commerce with Neyon. The Challenges That Early-Stage E-Commerce Startups Face Raj knows full well that startups face a lot of challenges, especially when coming up with the right ideas, building a solid team, and knowing when to pivot. For example, about 32% of innovation failures happen because the wrong idea is chosen. Surprisingly, many entrepreneurs put too much money and effort into refining a product without checking if customers even want it or are willing to pay for it. about 32% of innovation failures about 32% of innovation failures When it comes to building a team, Raj knows that the success of any given startup depends largely on the people behind it. Even with a groundbreaking idea, any new startup will likely fail ( 60% of the time , no less) if it doesn’t have a strong and adaptable team to bring that idea to life. That’s because technical skills and experience aren’t the only ingredients for success — passion, a shared vision, and creativity are what truly drive a startup forward. 60% of the time 60% of the time Finally, Raj notes that an inability to pivot when things aren’t going as planned (like a change in leadership or market demand) is a sign of a rigid team. It’s one of the top reasons that startups don’t make it. But while it can be a challenge, 94% of companies that successfully pivot are more likely to keep innovating. This not only keeps their ideas fresh but also makes them more appealing to venture capitalists, boosting their chances of securing funding. 94% of companies that successfully pivot 94% of companies that successfully pivot To tackle these challenges, Raj is turning to artificial intelligence — and in doing so, he’s bringing efficient workflows and scalable infrastructure to modern e-commerce. The Building Blocks of Innovation: How Raj Jaiswal Learned to Blend Technical Skills with Entrepreneurship The Building Blocks of Innovation: How Raj Jaiswal Learned to Blend Technical Skills with Entrepreneurship In Gujarat, India, entrepreneurship is practically in the water . Growing up there, Raj Jaiswal was surrounded by a culture that celebrates building something from scratch. On top of the local culture, his parents were both entrepreneurs, and as Raj watched them build their businesses, it sparked a love for innovation and problem-solving that paired nicely with his fascination for technology. entrepreneurship is practically in the water entrepreneurship is practically in the water Upon reaching adulthood, Raj decided to take a leap and move to the U.S., eager to dive into the world of tech startups. His big break came when his first startup got accepted into Brown University’s Summer B-Lab incubator. This initial experience building a startup was in the form of an on-campus delivery platform called Fetchum. It was here that Raj created real-time matching algorithms and built multi-profile app interfaces that made it easier for students to connect with local vendors and get their deliveries quickly. But Fetchum also taught him the unpredictable nature of entrepreneurship and the importance of pivoting when challenges arise. “When my co-founder at Fetchum had to step down,” Raj explains, “I unexpectedly took on the role of CEO in addition to my CTO duties, handling everything from fundraising to operations.” This experience pushed him to quickly master time management, seek mentorship, and broaden his skills beyond tech — making him a more adaptable and well-rounded leader. In his next role, Raj got a firsthand look at how crucial solid ideation is. One of his proudest achievements was his work at Circulation, a health-tech startup that modernized non-emergency medical transportation (NEMT). As one of the organization’s early engineers, Raj was instrumental in building the core technology behind the platform, including developing its scheduling and booking systems and integrating it with ride-sharing platforms like Uber and Lyft. It was through this experience that Raj learned the value of creating a solution that truly solves a customer’s problem. “It wasn’t just about building impressive tech,” he says. “It was about understanding the real needs of patients who struggled to get to medical appointments.” The success of Circulation, which led to its acquisition by ModivCare, showed him that a smart idea only works if it addresses a genuine need and if there’s a strong, adaptable team to bring it to life. Next, at GoPuff, a fast-growing delivery startup, Raj Jaiswal used his technical skills to tackle big challenges in supply chain management. Leading a team of six, he developed systems for real-time procurement enabled by real-time demand forecasting and improved how the company processed and stored large amounts of data. By leveraging complex data migration strategies to optimize these workflows, Raj saved the company 90% in supply chain data storage costs while ensuring a reliable procurement process. How Neyon Revolutionizes E-commerce How Neyon Revolutionizes E-commerce Raj is now channeling his passion into his new startup, Neyon, which is set to shake up online shopping. With Neyon, he’s building an AI-powered search engine focused on the apparel industry, aiming to make shopping more intuitive, personalized, and efficient. Leveraging cutting-edge natural language processing, computer vision, and machine learning, Neyon will have a robust suite of tools like image recognition and conversational AI that understand what customers are looking for and help them find it faster. “I had an ‘aha’ moment while trying to find a specific coat online,” Raj recalls. “After 30 minutes of searching with no luck, I thought, ‘There has to be a better way.’ That frustration was the spark that led to Neyon.” With Neyon, Raj believes that AI can bridge the gap between what shoppers imagine and what they find online. It isn’t just about making shopping easier; it’s about solving a real customer problem — helping people discover the relevant and stylish clothes they truly want. While Neyon’s tech is powered by AI, Raj credits his success to the insights he’s gained throughout his journey. “I spotted this major customer pain point because my time at startups taught me to see the real impact of a problem and whether a solution can truly take off." He also credits Neyon’s ability to pivot and adapt to his team-building experience. “I’m confident Neyon can handle whatever the e-commerce market throws our way because I’ve built a team that’s not just packed with tech skills but also knows how to think creatively to solve problems.” Going Beyond Innovation With Raj Jaiswal Going Beyond Innovation With Raj Jaiswal But Raj’s vision goes beyond Neyon. As the NYC Ambassador for the Brown University Alumni Entrepreneurship Group, he mentors alumni, organizes events, and builds connections within the startup community. By sharing his experiences and guiding aspiring entrepreneurs, Raj is committed to shaping the next generation of tech innovators. “This way,” Raj says, “we can build a future where AI technology and innovation truly serve people, not just profits. That’s the core lesson startups need to remember.” Raj Jaiswal believes that true startup success comes from balancing tech innovation with essential entrepreneurship skills. His journey, shaped by the promise of AI and the pitfalls of overlooking the bigger picture, taught him the importance of mastering ideation, team building, and pivoting to revolutionize consumer tech. Want to learn more? Check out Neyon , and follow Raj on LinkedIn . Neyon Neyon LinkedIn LinkedIn

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