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Picture this: two identical coffee shops at opposite corners of a quaint little town. The coffee beans? Sourced from the same Colombian farms. The espresso machines? Same exact models. The ambiance? Practically indistinguishable. Yet, one is thriving, and the other is barely scraping by. So, what sets them apart? Imagine walking into the thriving coffee shop. Mr. Anderson, a regular, walks in right behind you. The barista doesn't just know his order—a tall latte with a hint of vanilla—but also that he prefers almond milk, only on Tuesdays, and that his dog Max had surgery last week. After a quick chat, Mr. Anderson walks out, not just with his latte but also with a complimentary dog treat for Max. That's personalization, and it's precisely what SaaS companies must aim for. We are in a new era of customer relationships—the era of personalization. All the Features Look the Same… Features became commonplace, even mundane. They get replicated at a faster and more efficient rate than ever imagined. The very essence of software became democratized, leading to a paradox: the better the functionalities became, the less they seemed to matter. Consider Zoom. With a vast product offering tailored for different customer segments—businesses, individuals, students, and senior IT leaders— Do we think that Zoom will continue leading the market by providing better virtual meeting features? Here we are, drowning in features that look the same. What if the future of SaaS isn't in what the software can do, but instead in how well it knows what you need it to do? Consider the project management tool that recognizes when you're assigning too many tasks in the late hours of Friday evenings. What if, instead of bombarding you with a generic prompt or a 'how-to' guide, it suggests a more efficient delegation strategy for your next week, allowing you to enjoy a well-deserved weekend? The Crucial Nuances Once a company scales beyond the horizon of product-market fit, it starts noticing the subtleties among its customers. -   Some prefer receiving only critical updates, while others bask in the glory of every new feature. -   Some want to explore a product quietly before speaking with a salesperson, while others wish for immediate human interaction. -   Some expect different values from different product lines. -   Support? It's a whole new Pandora’s box. A user might want extensive documentation, while another requires one-on-one hand-holding. Thus, to maximize growth, it becomes clear that personalizing every single step of the customer journey is not just a luxury—it's a necessity. The Instagram Paradigm Instagram and YouTube have aced personalization in content delivery. Your Instagram feed is fundamentally different from your spouse's, offering a tailored universe. But can this paradigm be replicated when it comes to Marketing, Sales, Product, and Support in SaaS? The Path to Personalization and Revenue Growth So, how does one achieve this level of personalization when there are thousands of Mr. Andersons? At Coho AI, we've distilled it into a three-part symphony: First Movement: Data Consolidation and Normalization Firstly, gather all customer data into a robust, layered data model. -   Layer 1: Meta-data like job title, email, etc., often sourced from third parties. -   Layer 2: Relationship details like product tier, internal communication, sitting in your CRM, or user database. -   Layer 3: Product usage patterns, which require meticulous data collection and translation of raw UI, backend events, and user state. Second Movement: Auto-Segmentation and Actionable Insights Once data is consolidated and normalized, it's time for auto-segmentation. This process continuously evolves, refactoring new data points and allowing faster tailoring of customer experiences. Analyzing segmentations will allow us to learn based on the context of the user, identify leading indicators for desired outcomes, and construct actionable insights on every single user to achieve our goals. This is where insight turns into strategy. Third Movement: Real-Time Automation and Engagement Finally, let's bring in the cellos and violins—emails, pop-ups, feature flags, and a fully integrated subscription management system—all orchestrated in real-time, aimed at engaging the customer when it counts the most. The Standing Ovation Imagine a world where every interaction you have with a SaaS company feels like Mr. Andersons's experience at his favorite coffee shop. That's the kind of responsive, deeply personalized experience that not only fosters loyalty but also turns every user into an advocate. We are past the age of features. The new frontier lies in mastering the symphony of personalization, where every note is tailored to resonate with you—be it in customer support, product experience, or sales interaction. Undertaking this may seem overwhelming at first, but it genuinely doesn't have to be. The real challenge? Making the commitment to this shift and aspiring for your company to be the thriving coffee shop everyone raves about. As for the intricate details and next steps? Coho AI has got you covered, managing the heavy lifting with finesse.

Hello Mr. Anderson: Orchestrating Personalization in the World of SaaS

How The Hustle grew their subscribers to 1.5 million and learning for us! Sam Parr started The Hustle in his kitchen in 2014. The newsletter that Sam Parr describes as “The Wall Street Journal meets The Daily Show” has over 1 million subscribers, and was bought by HubSpot earlier this year began out of emails sent out to promote a conference called HustleCon (which also is his brainchild). Parr was an entrepreneur by habit. Building one business after another, he went on to sell a bunch and earn profits, steadily. But this story is not about Parr. This is all about The Hustle. A Millennial Opportunity - Jon Havel, Co-Founder "We built our product on email because we wanted to own our channel. Unlike search-optimized platforms like Google or Facebook where a change in the algorithm can decimate the business, email as a platform is not going anywhere and offers us a relatively cheap, direct, and intimate line to our subscribers.” Not many emails that come into our inboxes as promotional mail are looked at, forget responded to. Sam’s story was drastically different. The deluge of replies to his emails caused a spark. He saw an opportunity to be able to connect with millennials over email. And so, The Hustle was born. To stand out with millennials and make them want to be part of a brand is no mean feat. So what did Sam do? Sam centered his newsletter around Tech and Culture. And carved a space of comfort and relatability for his readers by using a conversational tone in everything he wrote. The language is informal, relatable, and ‘cool’. The Hustle Growth Formula “Emails allow us to scale quickly. It’s cheap, allows us to build an audience, and it’s intimate.” It’s one thing to find what works. Getting what you believe in to grow is the next challenge. Businesses don’t make sense unless you can scale them. Here’s how The Hustle grew. By word of mouth This is the oldest and most reliable marketing tactic. Human beings are wired to trust another’s opinion. To encourage people to talk about them, The Hustle introduced an ambassador programme. The Hustle Ambassador Programme is designed to give subscribers access to a private online community, free swag, and tickets to The Hustle Con when they refer other people to the newsletter. 2. By converting traffic from their main website Sam has mentioned multiple times that they could very quickly identify the Lifetime Value of their subscribers. Once that happened, economics became easier. By spending small sums of money accurately, The Hustle could convert readers to subscribers. Parr believes (and rightly so, it seems) that the email experience is a lot more intimate than any other social media. And that helped The Hustle quickly transition from a website blog to an email newsletter. Initially, their website articles were wacky, completely out of the box, and great at piquing reader interest. They were smart to leave hooks in pieces on their website, quite like all great authors when they write anthologies. And that leads to quick conversion. 3. By identifying their loyal subscribers and incentivizing their loyalty The idea of turning subscribers into ambassadors came from Parr and John Havell’s use of the idea even before The Hustle was conceptualized. When the two men were working on their start-up conference called Hustlecon, they figured that incentivizing website visitors would lead to better footfall at their conferences. So this is what they did. The website prompted every visitor to enter their email id. Once one did that, it said “Thanks for joining the Hustlecon email list, here’s how you can buy a ticket. And if you want $10 off your ticket, share this with three friends, and if three friends join, you’ll get $10 off.” The incentives didn’t stop there; if you referred 50 friends, you got 50 percent off your ticket. The ticket was free if you referred 100 friends. And for 1,000 referrals? You could come to the speakers’ dinner. The results of this incentivizing were so good, that when The Hustle was born, they used the same strategy here. A few weeks after a new user signs up for The Hustle, that person is sent an official invitation to join the ambassador program. The invite takes the subscriber to a personalized landing page that tells the subscriber how long they’ve been a member, how many editions they’ve opened, and, most important, how many friends they’ve referred thus far. The number of referrals gives each subscriber exclusive goodies or access to events. 4. By creating mutually beneficial partnerships “We partner with badass brands to create custom content our audience will love Get in touch and let’s figure out how we can best work together.” That’s what The Hustle says on their webpage calling for advertisements. A good advertisement seeking advertisement is one that makes the potential advertiser feel like you care. The secret to any successful relationship is building it around a win-win attitude. The articles built around collaborations have the same tone, tenor, and voice as the rest of their newsletter. Advertisement is subtle, yet effective and most posts end with a CTA that allows a The Hustle subscriber a discount or incentive to use the services of the advertiser. 5. Creating the right content Running a media company is largely, if not fully, dependent on generating quality content. Everything that you choose to write about must add value to the reader’s life. Else, why write about it at all? The Hustle has aced this formula. Let’s look at how they do it. I. Know your audience The people The Hustle targets are millennials or those who think like millennials. They figured out what drives this bunch of people. A 9-5 job does not matter to them as much as being remembered does. This group of people wants to put a dent in the world through the work they do. Work and life must be integrated and careers must be defined by missions. They also sent regular surveys to their audience to understand who they are and what they want. II. Tell stories for your audience The millennial generation is also a generation that’s always looking for inspiration - to be and to do. The Hustle began unearthing stories that they thought would help their audience get closer to their life goals. Yes, they share the news but they do it using the ‘Jon Stewart Effect’ - giving the news a new perspective or opinion- one they believe their audience may not have heard before. Over time, with a sustained supply of meaningful content, they built a relationship of trust with each of their readers. And these people started relying on them for their opinions. Not surprising how they have over a million subscribers, no? Very recently, this email newsletter company was acquired by HubSpot in a deal worth about $27 million dollars! Why would a company like HubSpot acquire a media company like The Hustle? In the words of HubSpot, “We believe that the next generation of software companies will invest in media that earn the attention of their audience. Instead of the traditional model of having a software company embedded inside of a media company, we predict that the next generation of tech companies will have the opposite – a media company embedded inside a software company.” So, what does The Hustle teach us? It’s okay to chase after a seemingly crazy idea. All you need to know is who you’re building this crazy idea for. Most often, the crazy ideas are the simplest ones. The key is to find your niche and then own it. So, looking to create a newsletter that is impossible not to read? It’s not rocket science. All you have to remember is who you’re writing for. Figure out your audience, and write great content. Every day. Never stop hustling.

How to Hustle Your Way to 1.5 Million Newsletter Subscribers

Netflix is, by far, the most popular streaming platform available in the market. With over 192.95 million paid subscribers from all over the world, it is definitely leading the market of OTT apps. So it makes sense when questions like how to make an app like Netflix pops into an entrepreneur’s mind, like yours. In this article, I will be talking about different aspects of how to make a streaming app like Netflix. I have covered both the business & technical sides of creating a streaming app like Netflix. The topics covered in this article are: How Netflix Makes Money – Revenue Model The USPs of Netflix Tech Stack of A Streaming App Like Netflix How Much Does It Cost To Make A Streaming App Like Netflix? Let’s begin! How Netflix Makes Money – Revenue Model The first thing that comes to the mind of any entrepreneur when creating an app like Netflix its revenue model. How will your streaming app like Netflix make money? To answer this question, let’s look at the revenue model of Netflix and how it has changed over the years. Netflix was initially launched in 1997. So it is obvious that over time it had to modify its business model according to evolution in tech and market demand. In its initial years, Blockbuster – a provider of home movie and video game rental services was the biggest competitor of Netflix. This is how Netflix looked like in its beginning years. So, the revenue model of Netflix, even in its beginning years, was a subscription-based model. Over the year, Netflix has aced predicting its market which has made it a successful $195 billion dollars company within just 23 years. From just a per-DVD subscription-based model, Netflix evolved its revenue model to a monthly subscription – from $15.95 per month with late fees to $19.95 per month without late fees. The current revenue model of Netflix is also a subscription-based model. The three streaming plans Netflix offers are – Basic ($8.99/ month), Standard ($12.99/ month), and Premium ($15.99/ month). Note that the premium plan that Netflix currently offers is almost the same as its initial monthly subscription plan, back in 2000. Keep in mind that the cost of these subscription plans changes for different countries and demographics. The idea of showing the revenue model of Netflix and how it has evolved through the years was to tell you that the understanding of your target audience plays a key role in defining the revenue model when creating a streaming app like Netflix. Currently, the app has built a huge user base by spending on quality content to operate profitably just on its subscription-based model. According to analysts, Netflix will spend over . Besides this, there are multiple other things that Netflix spends on – marketing, server costs, production, etc. $17 billion on its content in 2020 Having said that, you cannot spend a huge amount of money on content when creating an app like Netflix, at least not initially. You can solve this problem by combining two or more when creating an app like Netflix – such as the Freemium + Ad-based model, Or Subscription-based model combined with any other revenue model. business revenue models When creating an app like Netflix during the ongoing pandemic, you'll need an to help you and your team function as efficiently & smoothly as possible. ultimate work from home guide The USPs of A Streaming App Like Netflix The second most important thing when creating an app like Netflix is to decide its Unique Selling Points (USPs). The current streaming app market, like most of the markets, is highly competitive. So, what would be the USPs to focus on when creating an app like Netflix? Most of the competitors of Netflix are apps owned by big enterprises. A few alternatives of Netflix are Amazon Prime Video – owned by Amazon, Hulu – owned by Walt Disney Direct-to-Consumer & International, and HBO Max – owned by HBO. So, when creating an app like Netflix, the USPs of your app must be well-defined to stand out in a highly-competitive market. Some of the Unique Selling Points (USP) that make Netflix one of the most used streaming apps in 2020, and that you can adopt from when creating an app like Netflix, are: No Ads Ads are high-paying but, to be frank, are annoying to your users. We all have experienced this with YouTube. Netflix operates successfully without showing any ads to its users because, well, it has a different revenue model altogether. You can use this when creating an app like Netflix too. When making a streaming app like Netflix, you can start with the Freemium Model with ads for a limited amount of content. This will ensure that you get paid for streaming on your app while incentivizing & thus, increasing your paid subscribers. Ease of Usage The UI/UX of Netflix is simple and yet, looks & feels quite elegant. Even if a user has just installed Netflix and even has never used a streaming app before, they can quickly learn how to use it. This is another learning that you should take into account when planning to create a streaming app like Netflix. Invest in UI/UX design of your streaming app. It definitely pays off! Accessibility Netflix is available on all platforms – iOS, Windows, Android, and web. It is accessible across all platforms. So, when creating a streaming app like Netflix don’t just limit your content to just your app. Make sure that it is available across all platforms. Recommendation Algorithm When planning to create an app like Netflix, its recommendation algorithm is something worth spending your money over. The recommendation algorithm of Netflix is super-strong. If you finish watching a series or a movie, it starts playing another movie/series that you might like, right away. Besides, if you search for a movie or series that isn’t currently available on that platform, the app recommends similar movies/series. This is something you should include when creating an app like Netflix. The recommendation algorithm is an important area to invest in when creating an app like Netflix. It plays a crucial role in defining & increasing the average session time per user. For instance, Cindy Holland (VP, Content Acquisition / Original Series at Netflix) that Netflix subscribers spend 2 hours per day watching content on the app! said in a 2019 interview Unique & Quality Content Netflix understands the importance of quality content and how to keep users hooked. It spends a fortune on quality content. As mentioned earlier, Netflix will spend over $17 billion on content for its platform. When planning to create an app like Netflix, it is important to build a well-defined strategy on the type of content you want to stream through your platform. The better the content, the higher will be the growth rate of paid subscribers. Development Architecture & Tech Stack of A Streaming App Like Netflix Now that we have covered most of the business aspects of making a streaming app like Netflix, let’s look at its technical side. People love talking about Netflix shows and web series. But what most don’t realize is how strong its tech stack is. According to a survey, users view 140 million hours of content on Netflix per day. This comes to around 15% of global bandwidth. Imagine doing this for high-quality video/audio, without delay, and at fast loading speed. Well, Netflix is doing that. If you are planning to create an app like Netflix, you have to pay extra attention to its technical specifications. A low-performing tech stack for your streaming app like Netflix can undermine your app’s reputation and seriously damage its user base. In this section about the technical aspect of creating an app like Netflix, I’ll list down the technologies, frameworks, business tools, and DevOps that Netflix uses. Netflix to Cloud – The Use Of Microservices At the beginning of it all, Netflix had a monolithic tech architecture. In simple terms, the functionality of the entire streaming app depended on a single (large) codebase with multiple different modules. A Monolithic Tech Architecture has a single deployment binary. This basically means that to do even a minor change, you have to keep in mind on how it will impact other aspects of the mobile/web app and modify other aspects as well to run successfully. Netflix started the cloud migration of its entire platform from 2008 which finally Most people didn’t even think that moving completely to the cloud was even possible but Netflix did it. This journey also brought another transition in Netflix – moving from Monolithic Architecture to Microservice architecture. completed in 2016 . Currently, Netflix runs on 1000+ microservices – each of which controls the functionality of different parts of its platform. It is now impossible that the entire Netflix platform stops functioning at once! When planning to create an app like Netflix, you can take such cues and implement what Netflix has implemented to make its platform completely seamless. Today, most big companies you know have moved to the cloud and the use of microservice architecture has played a significant role in it. Well, remember that Netflix started it! Cloud Services like AWS will play a significant role when creating a streaming app like Netflix. For Application & Data – Tech Stack of Netflix Netflix offers seamless streaming and a great UI/UX to its millions of subscribers because it uses the right development frameworks and technologies. And you should too when creating an app like Netflix! You need a similarly strong tech stack in your streaming app like Netflix because it’s 2020 and the attention span of users is significantly low. Even a sec delay in the loading time of the web & mobile app will account for poor UX and can put off thousands of users! Here are a few major technologies you will need when creating a streaming app like Netflix for its application & data. Python – Flask Node.js Java MySQL & PostgreSQL Cloud Hosting ReactAmazon EC3 – For analysis of large data sets Amazon RDS and Amazon DynamoDB (Database)Pig – UI Toolkit for browsers winjs by Microsoft – DevOps – Tech Stack of Netflix DevOps plays a significant role in aligning development and IT operations when creating an app like Netflix. To ensure constant communication and delivery of changes at a fast pace, Netflix uses the following for DevOps. – Version Control & Collaboration Git & GitHub – Continuous Integration Server Jenkins – Cloud Log Management & Server Management Sumo Logic & Apache Mesos Mobile App Performance Management (APM) for iOS, Android, HTML5, and Windows Phone 8 Crittercism – For Recording AWS API Calls & Delivering Log Files AWS CloudTrail – These are just a few DevOps tools used by Netflix. You can choose your own DevOps tech stack when creating an app like Netflix as per your organization . development culture & methodologies Business Tools – Tech Stack of Netflix When making a streaming app like Netflix, you need business tools for better management and organization. Here are a few business tools that Netflix uses that you can adapt from when creating an app like Netflix. G-Suite – Team Communication & Collaboration Ping Identity – Identity Management Platform Confluence – Team Communication & Collaboration HubCommander – Identity Management Platform Business Tools allows your team to communicate, manage, & collaborate for efficient & productive development, maintenance, or upgrade when creating an app like Netflix. Besides using these tech stacks, Netflix is known for tech innovations for streamlining content delivery and thus, improving user experience. For instance, Netflix announced, back in 2018, the usage of – an AI-powered perceptual video encoding optimization framework that reduces memory usage without sacrificing video/audio quality. Dynamic optimizer How Much Does It Cost To Make A Streaming App Like Netflix? When making a streaming app like Netflix, it is important to create elaborate documentation of key features you want in your app. The like Netflix depends on the features & integration you want in your app. cost of developing an app Here are a few features a typical streaming app like Netflix has. – Using OTP, Email ID, Social Media Access Control – Content Search, Newsfeed/Activity Feed (Continue Watching, My List, etc.), Settings, etc. Basic Features – OTP Reading, Secure data Travel, Third-Party APIs External Features – Deep Linking, Social Sharing, etc. Payment Gateway IntegrationsApp Interaction – Data Sync, Geolocation, Push Notifications Advanced features for User Control, User Analytics, etc. Interaction with CloudAdmin Panel Now the development & integration of each of these features come with a cost. An expert mobile app development company can give a rough estimate if you approach them with your app features. The of making a streaming app like Netflix will cost you around $70,000 (including 2 native apps for iOS & Android and server cost). MVP development Final Words: Creating Your Own Netflix A streaming app is more than just a mobile app. You are offering a streaming experience to your users in a competitive market. Every aspect of creating an app like Netflix – from to development, testing, & launch must be on point! market research Now that you have a basic outline of how to create an app like Netflix, what are you waiting for? Previously published at https://www.resourcifi.com/blog/create-your-own-netflix/

How to Build A Streaming App Like Netflix?

A brief review of why this combination rules out all other pairs of headless content management systems and static-web app generators. Gatsby JS and Netlify is considered to be the perfect pair when it comes to developing blazingly fast web-apps using a static site generator which can then be deployed using a headless CMS. This combination is very efficient and comes handy for users with a little technical expertise, because that is the reason we are using a CMS in the first place! In this article we will be discussing why Gatsby JS and Netlify CMS are considered to be the master of their respective trades and how well they compliment each other. So before delving deep into the technicalities of why the combination of Gatsby JS and Netlify CMS is perfect and how it works, let us first understand about Gatsby and Netlify as independent entities! Gatsby JS GatsbyJS is a React based open source framework which is free and helps us build agile and fast web-apps. Fantastic documentation, high performance, robust community and an ambient developer experience makes it extremely popular among the developers. It is an easy-to-learn skill which can be aced by going through the . best GatsbyJs tutorials In a nutshell, Gatsby is a React-based, GraphQL powered, static site generator camouflaged as a modern front-end framework. Netlify CMS Complimenting Gatsby, Netlify is an which can be used with any static site generator to construct a faster and flexible web app. Netlify CMS is fully extensible, platform agnostic, easy to install and provides a friendly UI to the users. open source headless content management system Now that we are clear with the various nuances of Gatsby and Netlify CMS as independent entities, we must also be aware of JAM Stack which laid the conceptual foundation  for this combination. What is the JAM Stack? We will be exploring what the JAMStack is, how Gatsby and Netlify CMS work and also provide a brief idea of how this combination is ideal for beginners and advantageous over other combinations. Using Gatsby along with Netlify CMS is a great example of implementing JAMStack. Unlike websites built using WordPress or Drupal, JAMStack sites do not require a database.The refers to a web app that is devoid of server-side, and relies on HTML files which are requested through an by client-side to render content on a page. All of the HTML markup is generated prior to deployment so there is no waiting for pages to be built on the fly as is the case for dynamic websites. JAMstack is— Javascript, APIs and Markup. JAMStack markup API JavaScript After Gatsby has generated all web app files from its build process, the web app can then be deployed to a static website host such as Netlify, Now, or Amazon S3. The Perfect Blend A Static Site Generator + Headless CMS Duo to Rule Them All: Gatsby and Netlify CMS. Gatsby JS and Neltify CMS compliments each other and the duo rules over all others. Thus, some of the advantages of this combination are: Both, Gatsby and Netlify are free and open-source. To build a serverless, SEO-friendly, CMS-powered blog; no other combination can be a better choice. Thus, for amateur bloggers or people who are not really “tech-savvy”, there’s no better option! Over the past few years, developers have begun moving from monolithic, integrated CMS setups to a modular “content mesh” pulling content and functionality from multiple sources and APIs. Thus, Gatsby can be considered as the future of static-site generation. Gatsby and Netlify both are React-based, thus making them technically coherent and congruent. Netlify is a headless CMS thus, adding to the ease of serverless website development along with advantages like flexibility, scalability and reduced time. All said and done, this duo is not only technically proficient but also offer a rich documentation for beginners along with an easy installation procedure. There is no dealing with databases or any other external data sources — avoiding opportunities for security breaches and time-consuming server-side processing. Summing Up The bottomline is that if you are an amateur developer or a not-so-tech-savvy blogger looking forward to develop a website or web app without diving into the complex technical know-hows of web development, then look no further as this union of Gatsby JS and Netlify CMS is just your thing. Even if we consider it in general terms, this duo has aced and possess a firm hold in the market. So, if next time you plan of starting a serverless web-app using a static site generator and headless CMS then, this is the best choice you can have.

Gatsby JS & Netlify CMS: The Perfect Pair!

Interviews with Three Amazing Female Web Developers Who Promote Diversity and Inclusion in Tech

THE ART OF RELIGION

This interview series celebrates the remarkable achievements of the Hackernoon . Startups of the Year winners Meet , a content management system (CMS) for academic journals that put up impressive numbers in 2023. We sat down with Neliti CEO Anton Lucanus, whose transition from research scientist to tech entrepreneur has enabled millions across Southeast Asia to access the region's rich trove of academic content. Neliti https://hackernoon.com/startups/asia/asia-singapore-singapore?embedable=true What does it mean for you to win this title? Amidst the buzz around Web 3.0 and AI, it's nice to see our Web 2.0 SaaS product among the winners. We’re not fancy, but we address a very real problem: making academic research more easily accessible in developing countries. It’s affirming to know that this problem and our solution to it are receiving recognition. The entire team at Neliti is deeply committed to this mission, and the Hackernoon Startups of the Year title provides us with a healthy dose of rocket fuel! Tell us how your startup is changing the world. Academic publishing is the editing and publication of academic journals, which are publications containing all the scientific papers in a certain field. It is the main method for communicating the results of recent research. Humanity relies on this method of communication to solve the world’s biggest scientific challenges, such as human disease, climate change, and poverty. A significant obstacle within the academic publishing system is the limited access to vital scientific papers for researchers in developing countries, hindering their ability to contribute solutions to the world’s most critical scientific challenges. Neliti bridges this gap by enabling academic content providers, such as academic publishers, to make their research openly and readily available. The impact of our solution is evident in the millions of emerging researchers who rely on Neliti monthly to access the essential data they need for their work. What sets you apart from the competition? Our holistic understanding of the unique challenges and needs within the academic publishing sector, particularly in the developing world. Academic articles, the vessels of important scientific discoveries, are disseminated via three primary channels: academic journals, academic conferences, and institutional repositories. The latter serve as open-access digital libraries hosting a diverse range of academic content, from scholarly articles and books to scientific datasets. There are two main types of existing solutions in our industry: free open source solutions (such as OJS for journals or ePrints for repositories) and paid solutions (such as Silverchair for journals or Pure for repositories). The challenge with the free open source options is their complexity and lack of user-friendliness, requiring substantial technical know-how to deploy and maintain. This poses a significant barrier for their primary users—academics and librarians—who are experts in their fields but not in web development, often leading to subpar and bug-prone websites. On the flip side, the premium solutions, while robust, are prohibitively expensive for all except the most affluent institutions in developed nations. Neliti aims to disrupt this space by offering a solution that is as user-friendly as it is powerful, all while being free of charge. Our vision is to enable even the smallest universities in developing countries to create academic journals and institutional repositories that surpass the aesthetics and functionality of those developed by wealthy institutions with extensive budgets. This ambition is at the heart of our UI/UX team's efforts. Beyond aesthetics, we are committed to alleviating the technical burdens our users face. By managing the entire tech stack, including web hosting and content indexing, we allow our users to concentrate on what they’re good at: publishing impactful research. What do you love about your team, and why are you the ones to solve this problem? I hold immense admiration for every member of our team. One thing I love is our celebration of each individual's uniqueness—their personalities, skills, and respective contributions to our overarching mission. Another thing, and probably what I treasure most, is the depth of our relationships. I see each team member as a friend first, which naturally enriches our work. As a remote team, our annual in-person meetups are particularly special. These occasions allow us to share our passion for the Neliti mission, creating a buzz of shared purpose and enthusiasm. This, coupled with our unique team dynamics, positions us ideally to address the complexities of open access in the academic world, especially within developing regions. At the moment, how do you measure success? What are your core metrics? Neliti’s success is quantitatively gauged by a set of core metrics that reflect our widespread adoption and impact: number of institutions publishing content using our platform (currently 1,200+), number of articles published (400,000+) number of researchers accessing that content each month (2 million+). What goals are you looking forward to accomplishing in 2024? Currently, Neliti is mostly popular in Indonesia. But over the last few years, we’ve seen sporadic usership from dozens of other developing countries. In 2024, we hope to go deep into at least one of those markets. We’ll keep it a surprise as to which one 😉 If you weren’t building your startup, what would you be doing? Writing a book about the history of the academic publishing system, how it evolved to where it is today, and how we can improve the industry. The book would shed light on how the industry can be reformed and improved for the betterment of scientific discovery and human advancement more generally. I find the academic publishing industry fascinating. In 1655, the academic journal emerged. At the time, it was a revolutionary development in scientific communication. It provided a transparent and open exchange of evidence-based findings, while also indicating clear provenance of scientific discoveries. The current system hasn’t change too much since 1655, relatively speaking. In the current status quo, a team of researchers spends months (even years) getting funding and performing rigorous research, all of which culminates in a paper that is submitted to an academic publisher. The paper is then evaluated by peer reviewers, who are other researchers in the field. This is the main quality-assurance mechanism in scientific research. If accepted by the publisher, the paper is published. Libraries then pay up to millions of dollars annually for journal subscriptions to the publisher to access the research. Academic publishing is an odd system — the authors are not paid for their writing, nor are the peer reviewers (they’re just more unpaid academics), and in some fields even the journal editors are unpaid. The authors sign away their intellectual property rights to publishers for free, and sometimes they must even pay the publishers. And yet scientific publications are some of the most expensive pieces of literature you can buy. It is such an odd system that those who fund and perform research must actually pay to read the research they create, while taxpayers must pay to access publicly funded research. This scenario underscores why many within the academic community view the system as “broken”. Yet, there's a general lack of understanding regarding how the industry reached its current state and, more importantly, what measures can be taken to rectify it. My book would delve into these issues, offering a comprehensive exploration of the academic publishing landscape and proposing pathways for its improvement. Which trend(s) are you most excited about in 2024? Share your reasons. OK, let’s take a break from academic publishing for a minute! I’m most excited about scientific advancement in the ageing and longevity space. There have been major breakthroughs in understanding human ageing over the last decade, and 2024 is a big year for the field. I’m excited for this, because there is a growing consensus among scientists that ageing is a “disease” that can be solved. 2023 had been another crazy year, especially in tech, with layoffs and the Generative AI takeover! Which trend are you most concerned about? Be as brief or as detailed as you like. AI. We didn’t know smoking was dangerous until it was. We didn’t know asbestos was dangerous until it was. We didn’t know nuclear power was dangerous until it was. AI is like that, on steroids, and irreversible. Political intervention needed. Even more so than the great Partial Nuclear Test Ban Treaty of 1963. We can learn from history, but the economic and national security benefits of AI currently pose too much of a benefit to any country considering its regulation. This is at the core of its threat. History has repeatedly shown us that the allure of such benefits can make it difficult to regulate powerful technologies like AI. Such a tension between benefits and risks is not new. Unfortunately, it often takes a disaster to catalyze the implementation of necessary regulations. I hope we can learn from our past to proactively manage the risks of AI, rather than waiting for adverse outcomes to force our hand. We would love your feedback on HackerNoon as a tech publication! How has your experience been with us? Hackernoon is awesome. It’s a jungle of varied perspectives on all tech trends, which makes for some very unfiltered reading. I find it important to read opinions I disagree with, because the truth often lies somewhere in the middle. Any words of wisdom you’d like to share with us? Every groundbreaking discovery was discovered by a human like yourself. Every groundbreaking innovation was ideated by a human like yourself. The human brain is phenomenal, what will you do with yours? Startups of The Year is HackerNoon’s Flagship community-driven event celebrating startups that survived and thrived in 2023. 30,000 startups across 4200+ cities and six continents participated this year to be crowned the best startup in their city. The 2023 Startups Of The Year is sponsored by: . . The winners will get a free .Tech Domain, a HackerNoon NFT, and a Tech Company News Page. TECH Domains

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A term that’s a popular theme of discussion among people today is ‘ (AI)’. There’s no doubt that AI has played the role of a catalyst in transforming industries and reshaping how people interact with technology in today’s world. artificial intelligence As the horizons of artificial intelligence expand, the distinctions between conventional AI and ground-breaking Generative AI become more pronounced, signaling a trans-formative era in intelligent computing. AI enables machines to model or make improvements as per the abilities of the human mind. Right from self-driving cars to entry of generative AI tools like , AI has become a part of daily life and something companies spanning diverse industries are investing in. ChatGPT and Google’s Bard In essence, both General and Generative AI bring formidable strengths to the table, but they’re not without their challenges. Recognizing these strengths and limitations allows for a balanced perspective, ensuring that as we harness AI’s capabilities, we remain cognisant of its potential pitfalls. So, let’s explore the way the two are different from each other and reshaping the future technological landscape. Generative AI vs. AI: Key Differences Generative AI Artificial Intelligence (AI) Meaning It’s a subset of AI and generates content (text, code, and image, audio, video and other data) instantly in response to a prompt. AI are computer systems than can perform simple to highly complex tasks requiring human intelligence, logical reasoning, and speech-recognition, problem-solving and decision-making. Function It dives into massive repositories of existing content and uses that information for generating new content. It identifies consistent trends in the data they are trained on to make similar patterns as per prompts provided by the user. AI combines large amounts of data and uses algorithms and computational power to recognize patterns, improve decision-making and bolster business outcomes. It uses machine learning to train algorithms with data enabling systems to continue learning and improve performance on their own as per experience. Use Professionals like writers, graphic designers, software developers, artists and musicians utilise it for augmenting their productivity. It has shown immense potential in areas like creative writing, sound editing, image editing and suggesting variations to existing designs. AI applications are endless across various sectors and industries. It is used as an expert system in the healthcare industry to diagnose diseases, identify treatments, and suggest drug dosages. Financial industries are also deploying AI to offer financial advice, decide whether or not to approve a loan application and detect and flag activities in banking and finance for fraud detection. Applications ChatGPT, Midjourney, DALL-E, DeepDreem, StyleGAN, Midjourney, etc. and Bard. AI is also used in smartphones that uses facial recognition for unlocking and voice assistants like Alexa, Google Assistant and Siri. Methodology Leverages neural networks and often employs machine learning techniques like Generative Adversarial Networks (GANs). Uses various algorithms, such as machine learning, deep learning, natural language processing (NLP), and computer vision. Limitations Can create a variety of content types. Capable of understanding and responding to human language. Future prediction Identifies patterns and uses this knowledge to create unique new forms. Leverages historical and current data to identify patterns and make predictions. Generative AI vs. AI: Use Cases There are numerous current and potential use cases for both generative AI and AI (traditional) across various industries and domains. Here are some examples of their applications. Generative AI It can produce contextually relevant and easy-to-understand creative and academic content on various topics. It can compose emails, create structure of articles and prepare annual reports. Text Generation: It can create new realistic images and also enhance or completely transform existing images. Image Generation and Editing: It can write lyrics, compose original music tracks and produce new melodies. Music Composition: It can be used for generating realistic videos of people acting. Video Synthesis: It can spot underlying patterns in the dataset and create new designs. Fashion Design: Traditional AI AI can be used to forecast weather and finances based on historical data. Predictive Analytics: Depending on user’s behavior and preferences, AI-based systems can recommend products or content in sync with users’ interests. Product recommendation: Voice assistants like use AI. is used by these applications to interact with customers and offer assistance. Chatbots and Voice Assistants: Siri, Alexa, Chatbots, and Google Assistant Natural language processing Video games use AI for controlling non-player characters (NPCs). These characters can make decisions within the gaming environment. Video Games: Summary The two technologies, Generative AI and Traditional AI, symbolize two unique approaches in the AI domain. While Generative AI excels in creativity, handling uncertainty, and new applications, Traditional AI excels in efficiency, interpretability, and specific task-solving. The two approaches have their inherent strengths and weaknesses, however, their futuristic role in the AI landscape displays immense potential for major advancements and changing applications. The advances in technology have made the two technologies compelling and critical. AI being mature and flexible is the backbone of several industries, Generative AI breaks the limits of machine capability permitting them to make, innovate, and copy in a manner that was earlier believed to be only in the hands of humans. Right from identifying patterns to producing new content, from specific task solutions to the rise of machine creativity, AI is on a path which is filled with promise and challenges. Similar to many changing technologies, the solution lies in making use of its strengths and at the same time addressing its weaknesses.

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