Neticle media monitoring company checked what internet users say about the banking services on online platforms, romaniajournal.ro informs. Based on the online mentions of the top 5 Romanian banks, there are areas which need improvement. What service items ...

What do internet users think about Romanian banks?

See who else is going to How to Utilise Customer Data Generated by Automated Text Analysis, and keep up-to-date with conversations about the event. The Voice of the Customer comes to companies ...

How to Utilise Customer Data Generated by Automated Text Analysis

The day proceeded with presentations of the Google for Startups Cloud Program, a panel on the growth journey of 3 different startups (EDUardo, UIPath, Neticle) and concluded with a presentation on ...

Untold Stories: What's going in the Budapest startup scene

Neticle

neticle

HackerNoon Reporter: Please tell us briefly about your background. Neticle began as a small B2B startup company in 2012, founded by three graduates of the Corvinus University of Budapest. The company’s first (and to this day, most popular) product is a social listening tool, Neticle Media Intelligence. The three founders - Zoltán Csikós, Róbert Horváth and Péter Szekeres - had an education in Business Information Technology, and were inspired by both their studies and their work in a large university organization to start their own company. What's your startup called? And in a sentence or two, what does it do? It is called Neticle and it offers a range of text analytics tools for businesses. If you have textual data to analyze, Neticle has a solution for you! What is the origin story? The three founders originally came up with the idea of the company at a party during their years at Corvinus - and the next morning, it still seemed like something worth a try. One of the major inspirations was a study published in 2010 that showed how trends on Twitter often predicted the movements of the stock market. What do you love about your team, and why are you the ones to solve this problem? Our team has great chemistry. We love that Neticle has become a workplace where people enjoy spending time together and don’t just think of it as a way of making money. Our core values - transparency, flexibility, and equal opportunities - strongly manifest in our day-to-day lives, and they attract a group of talented, like-minded individuals. Everyone here believes in the potential of AI-powered text analytics and strives to find the best solutions. If you weren’t building your startup, what would you be doing? I was always fascinated by large and complex systems so I always wanted to move towards something that involved working with these. I had a few ideas in mind, like being a software architect, a consultant, or in some type of management position. I had actually started my career before Neticle as a technical consultant (and later as a technical lead), working on large-scale ERP implementations. I really enjoyed the complexity, that I always had something new to learn, and that each business was different and each faced its own challenges. I can imagine being in that kind of role if Neticle hadn’t been born. At the moment, how do you measure success? What are your core metrics? I think we all had a troublesome past 2 years, so I’d say it’s quite hard to grasp what success means at the moment. We managed to continue our growth, albeit a bit slower than we’d have liked to and how we’d planned before the global pandemic began. We did not need an emergency bailout from our investors. Our markets narrowed but at least they did not completely disappear like the tourism sector for example. Most of the startups in our region were not as lucky as us. So at the moment, we all agree that we made the most we could and that we have a successful year behind us, despite all the challenges we faced because of the pandemic. What’s most exciting about your traction to date? It is great that we have been able to expand our services to several countries across the world, especially in Europe, where we’ll soon have complete coverage. The other sign of leveling up has been working with larger enterprises, which often have more complex or custom needs. We love to adapt and find solutions that work best for each individual client. What technologies are you currently most excited about, and most worried about? And why? I’m a big technology enthusiast, who’s always excited about the new technologies that pop up every year. I’m mostly an optimist, I really think they make our lives better (with a few exceptions) and we will be able to overcome the challenges that they put on our society, lives, and environment. Currently the most exciting to me is the growth in the production of renewable energy and the electrification of our world. We will have a much better planet to live on once we leave all the pollution from burning stuff behind. Can’t wait to live in a city where there are only electric cars. On the other hand, I’m quite worried about how some governments tend to use what current AIs with limited capabilities offer. Sometimes I worry about what the future holds as we develop better and better systems in this aspect. What drew you to get published on HackerNoon? What do you like most about our platform? We really liked the new aspect in your delivery of developer news: the way you interpret the field and other related topics. Another huge plus is your open editorial team. This shows how you provide opportunities to freelancers and startups to introduce themselves - in one way or another, a huge range of people are featured on the pages of HackerNoon. What advice would you give to the 21-year-old version of yourself? I think the main advice I would give to myself if I had the chance is to do things a lot faster than we did at the beginning. We’ve got investment, but I would urge myself to try to secure it a lot sooner in the company’s life. We’ve managed to hire a lot of talented people, but again we should have had them as fast as we could. We are still experimenting with different sales strategies and structures to find the best one that works for us, but if we had started sooner, we would probably be ahead of where we are at the moment. What is something surprising you've learned this year that your contemporaries would benefit from knowing? In 2021 we’ve had the unpleasant experience of seeing that even if we allocate and spend a significant portion of our budget on digital marketing, it is not guaranteed to yield the results we want. It depends a lot on the target market and the strategy, as well as the circumstances - such as the pandemic. We’ve also realized that having a large office space is not important, but we mustn't neglect team-building events. They provide great opportunities to connect, which means a lot, especially when we often work remotely. Vote for Neticle as . the startup of the year in Budapest

Startup Interview with Zoltan Csikos, Co-Founder & CEO, Neticle

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Welcome to ’s ! If you’re an actual winner of an award, or simply feel like a winner today, the link for the template is . HackerNoon Writing Prompts HERE Hey Hackers! I’m and I’m the Zoltan Csikos co-founder & CIO @ Neticle. First of all, I’d like to say a huge thank you to the community for recognizing us as the winner of: HackerNoon #1 Startup in Budapest https://hackernoon.com/company/neticle/images Reporter: What does it mean for you to win this title? HackerNoon ’s values resonate with those of Neticle. HackerNoon Like the founders of HackerNoon, we also think that the internet can and should be a better, safer place for everyone. However, in order for that to happen, we need to put an end to discrimination and we need to be as transparent as possible. We’re really proud that we can be in a group of like-minded technologists and be acknowledged by them, too. How do you or your company intend to embrace the responsibility of this title in 2022? has more than 3 million monthly readers, so we know this title is not to be taken lightly. HackerNoon We intend to set a good example for companies with diverse hires, supporting the work-life balance of our employees, and being a reliable source of insights and knowledge in the text analytics industry. We want those 3 million people to know that even a small startup can make a difference in the world! What are some of the goals you’re looking forward to accomplishing in 2022 (whether it be through company initiatives or your personal journey)? One of the biggest goals we’re looking forward to is achieving complete European coverage in terms of languages capabilities and monitoring the web. This will provide outstanding opportunities for companies in regions where no other tool had previously been implemented which was able to understand and analyze language. We want our products to be even more customizable, and provide even more accurate text analysis. We plan to improve UX/UI and include more integration channels that are easily accessible. Finally, breaking down data silos and supporting smart data management are also in our focus. As you look at the variety of concerning trends in the world around you, what solutions can you think of? Name three trends and three solutions. Be as brief or as detailed as you like. 1. - Brands like Shein or Fashion Nova are pumping out clothes in much faster production cycles and with even faster trend churn than “simple” fast fashion companies, so that items quickly end up in landfills. ’Fast Fashion’ With news about unwanted clothes piling up in the Atacama desert, and even the deepest parts of the ocean being polluted with microscopic plastic particles, it is super important to bring awareness around these harmful methods and promote more sustainable alternatives. 2. - Since Russia has started its war against Ukraine, the spread of misinformation has been seemingly even more prevalent than before, and more people are aware of it. However, to extinguish the problem at its root, Using technology to spread misinformation being critical about one’s news sources and how to check the validity of them should be made part of standard education. 3. - Our agricultural methods have been so exploitative, that if we continue in this way, we won’t be able to harvest anything 60 years from now. The lack of food will be so devastating that the extent of consequences is hard to fathom. The solution is complex and largely depends on decision makers, but even we as individuals can do our parts by composting our household waste and urging our representatives to include saving soil in their agendas. Depletion of soil After participating in this journey, is there anything that you would like the team to know? HackerNoon Thank you for organizing this vote and giving a platform to companies all across the world. As our lives have become exponentially digital over the past two years, it’s great to know of attention-worthy startups elsewhere, as potential workplaces or collaboration partners. What is something special about you or your company that you’ve rarely had the chance to properly share but really wanted to? (Give this one a proper think, I’ll know if you didn’t!) Neticle is a place where the company values - equal rights, transparency, and flexibility - are not just abstract things, but are very much represented by each individual who works with us. When I talk to anyone in the company and some social issue comes up in the conversation, I am pleasantly surprised by just how much everyone understands and centers them in the way they think about the world. It is great to see how Neticle attracts this kind of mentality. What song or music album are you currently enjoying? I’m mostly listening to my Discover Weekly on Spotify but lately I’ve started to experiment with Youtube Music’s suggestions too. I really like how the two services offer me different types of music and help me find new hidden gems that I can enjoy. They create a nice background for the daily tasks that need to be done. But if I had to name someone I’d probably say my favorite currently is Susanne Sundfør. Her voice and music always puts me in a good mood and helps me relax and get over the daily stress. What are some concepts you wish people knew more about? There is no particular concept I could write here that I think people don’t know about. There are a lot more great, well-known concepts that I feel people care a lot less about than they should. A few examples that come to mind immediately are: Lifelong learning, so we can become more every day. Being open-minded and willing to adapt, so we can enjoy new things in life and can adapt. to every situation. To live in the moment. To be able to accept and embrace yourself, and so on. These are not new concepts but can make your life a lot more enjoyable and pleasant, yet many seem to have not recognized this yet and many never will. I wish people knew more about this. Is there anything else you’d like me to know? It can be anything. If I can mention one more thing, I’d like it to be related to our own field: . Automatic Text Analysis My colleagues and I often mention how we don’t want artificial intelligence to replace human intelligence - we want it to be a great tool that can enhance the decisions made by humans. So we wish for it to fulfill this role, and keep the balance: people should not be afraid of it at all, but they should also treat it as a means for work that suits them best, such as repetitive tasks, or tasks that require the analysis of big data. This, combined with smart humans who understand their industry well will yield great results. Thank you for everything that you do! – Team. HackerNoon P.S. If you enjoy getting interviewed (AKA, the ol’ intellectual stimulation, check out some more interviews !) here For more information: Read about the Noonies . To see all of the winners you may visit , pick any award, and view the name that appears at the top. Or follow for posts with the list of names released over the course of the week of February 14, 2022. here this site this account Read the FAQs about or . To see all of the winners you may visit , pick any city and view the name that appears at the top. Or follow for posts with the list of names released over the course of the week of February 14, 2022. Startups here here this site this account Thank you to all of our sponsors! We truly appreciate your contribution to the tech world and thus the future! : Startups , , , , , , , , , , Blockster Brex FreeCodeCamp LaunchDarkly Coil Udacity Udemy Vercel Asia Pacific Transgender Network Bybit Everscale Network : Noonies The Noonies Awards are sponsored by: , , and hosted by: Bybit Avast TECH Domains HackerNoon

Thrilled to be Recognized as #1 Startup in Budapest

Emocionado de ser reconocido como el Startup #1 en Budapest

As a growth hacker I do cold emailing. A lot! If you thought that growth hackers don’t do them — you are totally wrong! Sometimes it one of the best lead source for a startup that don’t have a lot of money to spend for huge marketing campaigns. A lot of even big companies rely on this lead source. However, some people (most of them) consider cold emailing as a spam. And yeah, sometimes it is spam if you do it wrong. Some people think that GDPR does not allow cold emailing. And, no, they are wrong. You can do cold emailing for your business if you do it right. I read GDPR original text several times with all reticles, read several official bodies (like British ICO) additional guidelines and spent several several dozens of hours with different legal consultants and now I’m ready to share definitive guide with dos and don’ts for GDPR compliant cold emailing. Just small clarification and disclaimer: - I will talk only about cold emailing. . I will cover other types of communication under GDPR next time. - . Direct marketing is cold emails. - All things that will be listed below are true only for the date of publishing and everything can be changed by the date you read it or in some specific countries. Only emails and only cold Cold emails is direct marketing not only Below you may find all my findings regarding : GDPR compliant cold emailing You cannot write cold emails to individuals (B2C) without their implicit consent. . Never Should always be able to answer to the three “simple” questions: - Is there really a legitimate interest/purpose to process data? - Is data processing really necessary and can directly contribute to meeting that purpose? - Is data processing conducted with respect to the rights and freedoms of data subjects? Yeah these are simple questions with hard answers. I will cover these questions below. You should — both your full name and the company you represent. always introduce yourself You should use . To put it simply, emails you use for cold emailing should be available somewhere on the web. That was the main reason why I droped my favorite snov.io and moved to hunter.io — Hunter let me use only those emails that are available publicly. Note: Hunter by default provides awful emails in terms of deliverability, so don’t forget to verify all of them. It is not necessary to show the source of each email in your template, but you should always have an ability to provide the source to any of your prospect on request. only email addresses that are available in public lists You should always provide your prospects clear and and stop receiving your emails. easy-to-use way to opt-out You in your signature. Why? — to show your prospects all this shit I’ve mentioned above: that their contact details were found publicly, that they can opt-out, that they have a right to object, why you reach them and what is the basis, etc. In this article you may found several . should have a Legal Notice great examples of legal notices for your cold emails If someone decided to opt-out (clicked your unsubscribe link or replied you that they want to opt-out) — write them again. Even such innocuous things like “yeah, sure, I won’t reach out to you again”. Yeah, that’s a bit strange, but they decided that they don’t want to receive ANY email from you. So, stop right away. never reply them That’s all Dos and Don’ts if you are doing cold emailing while you want to keep your GDPR compliance safe. Of course, all other “cold emailing best practices” you may find over the web apply as well. : Sources https://eur-lex.europa.eu/eli/reg/2016/679/oj https://eur-lex.europa.eu/legal-content/EN/ALL/?uri=CELEX:32002L0058 https://ico.org.uk/media/1555/direct-marketing-guidance.pdf https://ico.org.uk/media/about-the-ico/disclosure-log/2014536/irq0680151-disclosure.pdf

Best Practices for Cold Emailing Under GDPR

So Don’t Panic. Or do? Idk One night, founder and CEO Shon Burton had a crazy dream that he was Iron Man. He was wearing the mechanized super-suit complete with all the rockets, laser beams, and targeting helmet. HiringSolved Anti-climatically, he wasn’t anywhere near a battlefield. He was at an HR conference. Like many of us, Shon had fallen victim to dreaming about work. Disappointed at first, Shon then noticed his helmet was doing something funny. Anywhere he looked, a targeting reticle would lock onto someone’s face and populate a floating field containing all of that person’s professional details. Name, contact information, title, achievements… you name it. When he woke up he thought “this is totally doable”. “We were willing and excited to see what could be done — we have great data and interesting capabilities so we threw it together with the engineering team to see what happens. It became one of our summer labs projects.” Burton said. Meanwhile… A recent about the FBI’s use of facial recognition suggests 1984 has arrived and we are becoming members of The Party. Georgetown Law study Articles with titles like from help paint the picture that Big Brother is here. Cops Have a Database of 117M Faces. You’re Probably in It Wired Does advanced image processing create a “ ” for local law enforcement, FBI, CIA and other federal agencies as Georgetown suggests? perpetual lineup Or did the Tony Starks of the world get there first? “Face recognition error rates have decreased over the last twenty years by three orders of magnitude” — Facebook Research With Big Data Comes Great Responsibility Background on HiringSolved plays primarily in the talent acquisition world. Their engineering team builds products like — a conversational AI that helps recruiters discover candidates on the web. — a Chrome extension that predicts and uncovers information about anyone whose page you visit, and — a Google-esque search engine that crawls the web as well as contracted company candidate databases to assemble and organize everyone into consistent professional profiles. HiringSolved RAI PROPHET TalentFeed Tony Stark vs. The Law Tenets of Facial Recognition “The conventional pipeline consists of four stages: → .” — detect align→ represent→ classify Research at Facebook Detecting: Finding a face The FBI In law enforcement, this stage relies on things like . This creates issues differentiating black people among other things. eye position or skin texture Tech Startup Unlike FBI methods to find the face in an image, face detection step doesn’t use anything except the direction of light. HiringSolved’s This method is known as Histogram of Oriented Gradients or HOG. For the first step in this method, the system desaturates an image making it black-and-white rendering color irrelevant. Then the system replaces all the pixels with arrows based on the procession of light-to-dark where the pixels once were, enabling the system to detect distinct features of a face based on the patterns created. Aligning: Centering with face forward The FBI The FBI has trouble with faces that are obscured or not aligned properly. For an accurate read,FBI systems have to capture a face straight-on. They cannot handle images the center axis. more than 15 degrees off FBI Tech Designed for Mugshots Tech Startup The tech used by can align any face in any position using a two-part aligning method. HiringSolved The first part is an algorithm based on a method of “face-landmark estimation.” This breaks a face down into 68 points which each reference a facial landmark. The second part is an algorithm that conducts “affine transformation.” This rotates, scales, and shears the image so everything is front and center. Any processed image should now have the eyes and mouth in roughly the same spots so it is prepped for encoding. Representing: Converting image into numeric set The FBI The FBI may not do this crucial time-saving step. A from their face recognition suggests they may skip representation altogether: document program “All search submissions to the IPSFRP system MUST include a single frontal photo of the search subject. Further, face images must be compressed within the search transaction using JPEG encoding.” Also, their system compares pre-determined measurements of features like distance . between the eyes Tech Startup Matching millions of image files to each other takes forever so tech startups use a set of numbers to represent and processes matches much much faster. system uses a machine technique that decides which 128 measurements on a face to log, unlike FBI systems that use measurements determined by humans. HiringSolved’s learning then takes the aligned face and captures facial measurements for representation. This capture is known as “embedding” in machine learning circles. HiringSolved For the best results in the following classification step, the rule-of-thumb is to embed 20+ images per person for higher accuracy. Classifying: finding the closest match in database The FBI The FBI doesn’t find just one match. Instead the system finds the top 50. Out of those top 50 matches, it claims that one of them is a match only 85 percent of the time, according to an Electronic Frontier Foundation ( ) study. EFF The EFF report comments that a system like this “will return a lot of images of the wrong people.” The FBI relies on databases consisting solely of . So, their system can only really reference one or two photos of a person which lowers their measurement accuracy. driver’s license photos and mugshots Tech Startup has a similar issue to the FBI since their image database also has a low per-person count. HiringSolved Instead of relying on a sub-par image volume, engineers elected to build a live trainer for the classifier. The trainer boots on a MacBook, asks for the user’s name and company, and then captures a short video. This takes 50 images of the user for the embedding. Once the classifier is trained using the 50 images, it can be accessed by a computer’s camera via a server. Since is working towards a mobile facial recognition product, they built the classifier app for a Droid Turbo 2. HiringSolved || v After training the classifier with multiple people’s faces, the device is able to find a match in two seconds! Fear the FBI? Should we fear our government overlords? No. Not yet. While the FBI has access to face data, it’s too thinly-spread and they aren’t able to use it efficiently. If a small tech startup can can develop highly accurate facial recognition software for use on a camera phone relatively cheaply, rivaling the that Facebook currently touts, we need to trust the Tony Starks (and Facebooks, Snapchats, or Googles) of the world are using their powers for good. 98% accuracy rate Some entities, like Facebook, have a major inherent advantage with a high volume of indexed images while others struggle to create gimmicks that collect face data (see Microsoft’s “ ” app). How Old Do I Look? Getting people to give you a facial embedding is hard. If only there was . We could make it fun. Free. And social. Let people invite their friends. Spread it. Let them put silly cartoon items on their face. Then promise we’re deleting it all. a way to coerce people To be fair, Snapchat they can’t “Recognize a Specific Face”. claims So why worry? It’s not like they have a engineering wing or something like that. secret ( ) Disclaimer: I wrote this story in the fall of 2016 so there’s a good chance that federal agencies have begun co-opting the latest face rec. techniques by now.

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Stories, News & Mentions about NETICLE

Neticle’s Stories on HackerNoon

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