apps

Openai has just opened the door to a new way of using apps with chatgpt

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The next time you ask for Chatgpt Help you mount the playlist for your birthday, the chatbot may go one step further. You may propose to do it directly with Spotify and, if you connect your account, offer you add the list to your profile with a single touch. And not only is limited to Spotify. Openai has just considered a new way of using applications. The company directed by Sam Altman has announced An update that allows you to use apps from the conversation window itself, in natural language and without the need to open eyelashes or leave the chat. Some functions also incorporate small visual interfaces adapted to the chatbot environment to offer a more fluid experience. A few apps to start. In order for applications to work within Chatgpt, developers must integrate OpenAi SDK and accept their conditions, designed to guarantee a safe experience. The project is still in an early stage. The SDK is in preliminary version and, for now, only seven companies participate in the pilot. Openai has selected them to show how this new applications integration within the chat will work: Booking.com Canva Coursera Figma Expedia Spotify Zillow How apps are used in chatgpt. There are two ways to use them. The first is to mention them directly if we know they are compatible. The second, more automated, occurs when Chatgpt himself suggests connecting an app to continue a task. It is an interesting function, although it can be somewhat invasive for some users. For example, if we have a linked Canva, it would be enough to write “Canva, can you turn this scheme into a presentation?” The application would generate different versions from the content. With Expedia, we could ask you to look for hotels in Chicago with King bed for less than $ 250 a night, and the integrated app in charge of the rest. The striking of this new generation of applications is how it combines family interactive elements, such as maps, lists or presentations, with the naturalness of a conversation. There are limitations. At the moment, the novelty has clear limits. Only a few apps are compatible, the support is available only in English and, at least for now, it cannot be used in the European Union. Openai has not explained the reasons, although everything points to the privacy regulations that usually slow the launch of new artificial intelligence functions in the region. The company states that it works to offer it “soon” also in the community block. Security and privacy. By using integrated applications, users are subject to both OpenAI terms and those of each connected service. The company has urged developers to “include clear privacy policies, collect only the necessary minimum data and be transparent with the requested permits.” It also promises “more granular” privacy controls so that each user can decide which specific categories or data can use each application to customize the results. The data business. The data is the new gold. Not literally, but in value. From the beginning of segmented advertising to the rise of artificial intelligence, companies have demonstrated a voracious appetite for user information. That is why it is convenient to review the privacy policies of the applications that we use: to understand how our data is collected and process, at this point, almost as important as using them. Images | OpenAI In Xataka | Openai and AMD have just signed more than an AI agreement: it is the bartering of despair

One of the most downloaded apps for iPhone pays for recording calls to train AI models. It is a security disaster

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The sale of personal data is not a hypothesis, it is an expanding reality. Just look at Spotify: Recently a service appeared that paid those who delivered their profile and their listening summaries to resell them to technology companies. The approach was as simple as disturbing, because it became something as innocent as our musical habits. Neon Repeat the scheme, but transfers it to a much more sensitive land, telephone calls, where intimacy becomes the product. We are talking about an app that decided to convert phone calls into the new digital gold. His proposal is direct: “Speak, record and charge.” It promises users to win “hundreds or even thousands of dollars a year” simply allowing their conversations to transform into training material for artificial intelligence systems. The hook worked. In a matter of days he went from irrelevance to place Within the top three positions In the Social Networks category in the United States App Store. How neon works. The neon mechanism is designed for each call to translate into money. It promises to pay 30 cents per minute when two users of the app talked to each other, 15 cents if the call is with someone external and establishes a stop of 30 dollars daily. To this adds a referral system that offers 30 dollars for each new user. The recording, According to your policyalways affect the sender and, when both used neon, to both parties. Conditions of use. Beyond payments, the true neon reach is in its Terms of service. There the users give the company a “world, exclusive, irrevocable and transferable” license on their recordings. This permit includes rights to sell, modify, create derived works and distribute the audio in any format, present or future. To this is added a section of functions in beta, without guarantees or responsibility in case of failures. The amplitude of that assignment makes it difficult to foresee how far the use of the recordings can go. Where is available and how popular it is. Neon’s initial success was as fast as unexpected. At the time of writing this article, it is number 2 of the most downloaded social applications in the United States App Store. The application, however, seems restricted to that market: in tests carried out from Spain is not among those available or allows its download. The security failure. The story took an unexpected turn when a technical analysis revealed that Neon did not protect the information of its own users. As Techcrunch discoveredjust create an account and review network traffic with a tool like Burp Suite to access others. Shortly after the notice, the founder closed the servers and sent an email announcing a pause ‘for security’, not to mention the filtration. What was exposed was especially delicate: Telephone numbers associated with accounts Public links to audio recordings Complete call transcripts Metadata with duration, date and payments obtained Telephone numbers, recordings and transcripts are not accessible is not a minor failure. With this data, private conversations could be rebuilt and associated with specific people. The risks range from attempts to impersonate identity to the creation of synthetic voices. What Neon says in front of what we know, Neon defends that their processes protect users: anonymity of conversations, elimination of personal information and sale only to reviewed companies. However, the ruling showed that these systems are not infallible. The official communication after temporary closure spoke of “adding extra security layers”, but omits to recognize the filtration. Neon’s fall does not erase the background question: what price does our intimacy have when artificial intelligence demands more and more data? The model to pay for calls can reappear in other forms and other markets, because the need to train systems will continue to grow. What happened in the United States is an early warning that we are not talking about science fiction, but about real proposals that already touch the user’s door. The decision, ultimately, is personal. Images | Xataka with Gemini 2.5 | Screen capture | Neon In Xataka | A new generation of robots promises precision and efficiency. It also opens the door to cyberspage risks

They are experts in apps, but they don’t know how to use a printer

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The Z generation is changing Many labor dynamics With its incorporation into the labor market, but they are also breaking high expectations. The most visible is the technological preparation that was assumed to a generation that has had to finish its remote training and started its work career in a remote work and fenced by AI. That Lack of preparation technological has been made known as Tech Shame or technological shame: Not knowing how to use elementary devices in an office such as printer or scan a document. Technological pressure for digital natives. Unlike boomers, The members of the Z generation have been born and grown immersed in technology for any aspect of their life. However, they experience unexpected difficulties when they face basic offices such as printers or scanners. Despite his technological skill in personal life, A study De lasalle Network reveals that 48% of young graduates in 2022 do not feel technologically prepared in their jobs. According to the report ‘Hybrid Work: Are We There Yet?‘ From HP to 10,000 office employees around the world, 20% of young people felt judged for not knowing how to use the electronic devices of the office, while the proportion of their counterparts from other generations was only 4%. “We were surprised to discover that young workers are feeling more ‘technological shame’ than their older colleagues, and this could be due to a series of problems,” He pointed out Debbie Irish, Head of Human Resources in the United Kingdom and Ireland of HP to Worklife. Unfair expectations for “technological shame”. Although the fact of not knowing how a certain device works has affected to a greater or lesser extent to all generations that currently live in the labor market, it seems to be an unforgivable sin for generation Z given the expectations that they should Dominate any technology. However, we must not lose sight of the fact that your experience is limited to technologies with which they grew up. Printers, photocopiers or scanners are already an obsolete technology for that generation. It would be like asking Boomers either Millennials make purchase orders in MORSE CODE. Printers are less and less common at home. There was a time when having a printer at home was as common as having a computer. However, the data indicate that this trend has been stagnating in recent years and is increasingly printed at home in response to the Nightmare to face a printer. A good sample is that, according to data HP sales published by The RegisterDuring the pandemic its income in hardware for consumption printing (non -professional) grew 21% to 77 million dollars. That means that all those people who had to start working remotely did not have that printer at home previously. It is normal that they know how to use them. Not being used to using printers or scanners during their training period has made, no matter how much Digital natives Let them be, do not have that previous technological experience. On the other hand, as pointed out An article in The Guardianthe Z generation has grown using apps such as Instagram or Tiktok, very oriented to the ease of use, so they expect the rest of the technology in their surroundings Be just as easy to use. Maybe this is one of the reasons why young people are more prone to scams online That his grandparents. What lifts the hand the Millennials They would know how to send a fax, without looking in Google what a fax is. In Xataka | Three out of four young people in the US are clear: they prefer to work in a hospital than in a great technological Image | Pexels (Andrea Piacquadio) *An earlier version of this article was published in September 2024

apps that organize the appointment directly

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Our attention is the most precious good for the apps that we have on the mobile. Instagram and Tiktokthe Chatbots of AI… Virtually any app wants to hook us and appointment apps were not going to be less. Tinder converted the search for a couple (or what arises) into an infinite swipe with endless profiles to do Match. However, it seems that the format of offering the more options the better is being exhausted and there are more apps that opt ​​for the contrary: take control and decide for you. The app decides. Until recently, most appointments opted for the Tinder format, but recently new proposals are emerging with a different approach: instead of being the user who spent hours sailing, chatting and looking for their Match Perfect, it is the app who takes control and decides for you. It sounds good, although as they count on the New York Timessome are stopped. Breeze. “A match means an instant appointment,” Breezean app developed in Holland that has already made the leap to more European countries (in Spain not yet) some areas of the United States. Every day, the app sends you a selection of people who may like it and, if you match someone, the app will check the availability of both and arrange an appointment. If you do not accept appointments, in the end they freeze your account. There is not everything left, they also focus on security verifying all users and ensure appointments are carried out in bars that are associated with the app. Breeze is free, but if you get appointments you will have to pay. Near. Oriented to gene generation, the approach of Near It is finding appointments with your friends’s friends. As? Forcing you to share all your contacts if you want to join. The idea is that quotes occur between people with nearby circles, not among strangers. Thus, those mutual friends can give you information and corroborate that your link “is trustworthy.” With this idea, close wants to end practices such as Ghosting since “your reputation is at stake.” It is only Available for iPhone. CUFFED. This app is committed to exclusivity. In Cupd you can only have one match at the same time so that both people are only chatting with each other and not with several at the same time. There are more, only the members can enter and that is only achieved if the app accepts you or if you get a referred code. Once inside, you are obliged to pay the premium subscription, whose prices go from 14.99 to $ 79.99. The Tinder format loses bellows. Having many options is not always good. In apps such as Tinder or Bumble it is easy to get tired of reading profiles, keeping empty conversations and even having appointments. The use data confirmed it: last year we talk about Tinder was losing usersespecially those who paid for Tinder Plus or Gold. After nine years of growth, In 2024 Bumble began to lose users. It seems that the trend is clear. ‘Dating fatigue’. Appointment apps face what is known as ‘Dating fatigue’or what is the same: that it gives you laziness to link. According to data from a Survey by Forbes78% of US appointment apps users admit to being tired of using them. Before a model that seems to be starting its decline, the new models such as those of these apps have an opportunity to highlight. Or even The not so new. Image | Cottonbro Studio, via Pexels In Xataka | Ligar for Tinder is a thing of the past. The latest is to create “love curriculum” in Google Docs

Android changes its DNA. Google will exclude the apps from unidentified developers … even if they are not in the play store

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Google just activate the countdown for the Android we know. Since September 2026, any application you want to install on your Android – Come on Play Store, an alternative store or downloaded from a website – must be signed by a verified developer. It is the end of anonymity in the Android ecosystem. Why is it important. Android has always presumed to be the alternative open to iOS. That opening allowed to install applications of any source, without even Google knowing who developed them. With the advantages and disadvantages that that supposes. Now, All developers must reveal their real identity to Googlewithout exceptions. The company justifies the change with data: it detects 50 times more malware in applications downloaded via web than in the Play Store. Cybercounts take advantage of anonymity to distribute malware, commit financial fraud and steal personal data. The backdrop. This bomb comes in full legal earthquake for Google. Epic Games has won his antitrust case And the courts have ordered Android to open to third parties. Just when Google must allow more competition, impose unpublished control over who can develop for Android. It is a master play of Timing: Google maintains control of the ecosystem even when the courts force him to open it. Alternative stores may exist, but all applications must go through the Google verification filter. In detail. The new Android Developer Console will be mandatory for all: Developers must provide legal name, address, email and telephone. Organizations will also need corporate web and Luns number. Google promises not to show this information to users, but you will have it. There will be a “simplified” account for students and fans, without the rate of $ 25. The calendar does not leave much margin of maneuver: October 2025: Early access for selected developers. March 2026: Open registration for all. September 2026: Effective blockade in Brazil, Indonesia, Singapore and Thailand. 2027: Global expansion. Google points first to countries “specifically impacted” by scams. But the message is clear: this will be global and inevitable. Yes, but. Thousands of independent developers will lose their privacy. Those who created useful tools without wanting to expose themselves now must choose: reveal their identity to Google or leave Android. He Sideloadingthat exhaust valve that historically differentiated Android from iOS, is injured in death. Technically it will continue to exist, but only for developer applications that Google has verified. Between the lines. Google says That this is like “showing the DNI at the airport”, which verifies identity, but not contained. The comparison is very good because airports are spaces of maximum control where we sacrifice freedoms for security. Just what Google is looking for. The current documentation does not explain what will happen if you try to install an un verified application. Google will probably distribute a white list through Play Services and your Android will simply reject anonymous developer applications. Deepen. This change replicates the model Gatekeeper Apple in macOSwhere developers must register for their apps to work. Android is converging with iOS in control, losing its main differentiator. Google insists that Android will remain “open”, but the semantics is not an exact science, and for many, “open” will not fit as a definition a system where each developer must ask Google permission to exist. The Android we knew has died today, although we will not bury it until September 2026. In Xataka | Notifications with advertisements of some of the apps that we use most are kidnapping our mobiles. And there is not much to do Outstanding image | Denny Müller

Netflix has 15,000 titles but we end up seeing ‘The Office’ by Quinvez. Productivity apps make us the same

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We have 15,000 titles in Netflix and we end up seeing ‘The Office‘For the fifth time. We have a complete suite of productivity apps on the mobile and we end up writing the tasks in A whatsapp with ourselves. It is the same psychological mechanism working in two different contexts: when you have too many options, your brain is blocked and returns to the known. The world of productivity has fallen into the same trap as the platforms of streaming. They sell us infinite customization as an advantage when it is actually a ballast: Notion It allows you to create any imaginable system. Obsidian has more than 800 pLugins Todoist It has configurations for each micronecessity of your workflow. It sounds great until you realize that you have been configuring the perfect system and you have not completed a task. There is fascinating investigation into this. Barry Schwartz showed That more options not only make us happier, but they paralyze us. Each configuration decision consumes mental energy that you could be using to do real work. And here comes the paradox: We value less systems that come preconfiguredalthough they work better than those we have customized until death. The solution is contraintuitive: The most restrictive systems are usually more productive. Apple, for example, understood it a long time. It doesn’t let you change almost anything from the iPhone, but that’s why it works. Limitation is not a bugIt is one feature. You strength to act instead of optimizing forever. The secret is to choose intelligent restrictions. Instead of looking for the tool that can do everything, Look for what does the three things you really need well. Let’s look at a specific example: task management. Notion allows you to create relational databases with personalized properties, dynamic filters, multiple views and automation. You can categorize by project, priority, context, required energy, responsible person. You can create control panels that show productivity metrics and progress graphics. It is the dream of any obsessive control. But While you build that perfect system, your real tasks accumulate. You spend more time thinking about how to organize the work than working. And when you finally have your masterpiece configured, it turns out that it is so complex that using it requires more mental effort than doing the tasks by hand. Contrasts this with Things 3. You have three drawers: Inbox, today, and someday. Spot. You can’t create custom fields, you can’t do Dashboards Made, you cannot automate anything complex. It seems limited compared to Notion. But precisely because of that it works: you open the app, you see what to do today, you do it, you call it. Zero cognitive friction. The usual lesson: Productivity is not about having more options, but about eliminating irrelevant decisions. Your mental energy is finite. Every minute you spend configuring is a minute you don’t spend creating. The most elegant systems are not the ones that can do everything, but those that make obvious what to do next. In Xataka | In 2001 a productivity method was born that was going to survive everyone else: 24 years later, it is still immortal Outstanding image | Sanjeev Mohindra

that anyone can create apps in minutes without knowing

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Becoming an idea into something real has never been simple. And when we talk about Create applicationsbarriers have been historically high. It was not enough to be clear about what: it also needed to dominate the environment, have time and have the necessary knowledge to make it possible. Artificial intelligence is beginning to change that equation. Not only is it facilitating work to experienced developers –Although certain profiles have also put in tension and even slowed processes in some cases-, but begins to open the door to those who had never scheduled a line of code. A few days ago we met Lovablea European solution that allows us to create web pages and other projects from natural language. Now enter the scene Github spark: its preliminary version I already suggest a powerful ideato build apps talking. How Github Spark works: an idea, an app, a click The skills continue to import, but the paradigm is changing. For those who never felt comfortable with the code, but they do know how to articulate an idea well, a window that previously seemed closed is opened. Github Spark starts from an ambitious premise: to fully shorten the distance between an idea and a fully functional app. It is not the first platform that tries to translate natural language into interfaces, but here the proposal goes much further. Spark not only generates pretty prototypes: Create complete applicationswith border and backend included, ready to deploy. That promise is based on a combination of known tools and an experience of use designed so that everything flows without technical barriers. The user can describe what he wants and see how the interface and the logic of the application take shape in real time. Under the hood works Claude Sonnet 4Anthropic’s language model, but integration also gives access to OpenAi modelsMeta, Depseek or XAI without the need to manage keys or additional configurations. The github approach is that everything is included from the first moment: storage, inference, deployment, authentication, synchronized repositories, version control and integration with co -pilot. Spark allows you to be iterate on an idea using natural language, visual controls or directly code, with real -time suggestions. The result can be tested live and, if convinced, published with one click. From a personal page to a business app: examples made with github spark The platform is integrated with the entire github ecosystem. You can open a repository with Github Actions and dependoabot already ready, launch a Codespace to work in agent mode with co -pilot or even assign tasks to the code agent. SPARK offers a coherent experience for those who are accustomed to the usual workflow of Github, but without demanding previous knowledge to those who arrive from outside. As we can see, Github Spark does not add up only to professional developers. It also seeks to attract those who want to create functional prototypes in minutes, launch their own personal tool, try business ideas or even design pages with interactive functions that go beyond what traditional web builders allow. From an APP of event discovery to a restaurant recommendations or a routine planner with intelligent functions. At the moment, Spark is available in preliminary version for those who have a subscription to Copilot Pro+. The price starts from $ 39 per month and includes up to 375 SPARK messages, ten active development sessions and the possibility of creating an unlimited number of applications. In addition, it incorporates all the advanced functions of the Pro+Plan. Images | GITHUB In Xataka | The US has not yet solved its basic problems, but its great AI project against China is already underway: Stargate

The ambitious video apps plans to land on Smart TV

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There is no one who can with the TV. Although the hours we spend in front of the mobile are increasingly abundant, the big screen that makes up the neuralgic entertainment center and household meetings continues to exercise great power over us. And about advertisers. Therefore, even mobile apps giants such as Instagram or Tiktok consider a turn to television and prepare apps in that format. Tik tok and Instagram, to TV. Account ‘The Information‘That Tiktok and Instagram are developing apps to be viewed on television. The objective is to steal some advertiser of the juicy cake that are now distributed the platforms of streaming (that generated more than 26,000 million dollars in income in 2024) and also increase the number of users, appealing to new profiles and older than the usual ones on the platforms (In Tiktok About 70% of users are under 34 years old, and On Instagram around 60%) The future has returned. When the use of mobiles was generalized, the media looked at these new devices, transportable screens (laptops, tablets, smartphones) and They said “here is the future”. We would watch TV and movies on mobiles. They were wrong: TVs are still reigning in houses thanks to the arrival of streaming: Linear TV consumption is in historical minimumsbut Thanks to streaming platforms A lot of television is still seen. But the screen continues to be transformed and perhaps the next bombing we see comes from the arrival of native mobile apps. YouTube to power. Recent news resonates in this decision of the two gigantic social social networks: YouTube’s sustained growth in recent years. According to Nielsenthe video platform has experienced a constant and significant general growth, more than 120 % since 2021. But in addition, in May 2025, it occupied the leading position between platforms of streamingwith 12.5 % of the total viewing on television. That is, advancing traditional television on their own land and even its rivals of streamingan app born on the Internet has conquered televisions. Tik Tok already tried. The Chinese video app has already tried to enter the Smart TVS with an application that did not have much route and It was launched in November 2021. According to Sony and collects ‘The Information’, Tiktok stopped updating the app in June and there are other televisions brands, such as Samsung or LG, where it is not even available. It is a possible clue about changes in the Tiktok TV approach. Instagram has never had an app for Smart TVS. Advertising is what is sought. To those mentioned 26,000 million dollars that gives the streaming In advertising the 72% of the 50,000 million youtube revenues In 2024: the video format and its jump to television allows multiple formats (pre -rol, Bumper, Mid-RollShorts), very versatile and attractive for video social media apps, more limited in that regard. Television allows hybrid advertising practices (with the use of artificial intelligence That will begin to put into practice Netflix, for example), which generate more impact on television. All that also want to access Tiktok and Instagram. Header | Outstanding image | Alexander Shaatov in UnspashXataka with Mockuuups Studio In Xataka | Millions of people are hooked right now to an Olympic Games where cats compete. Cats made with ia

The best apps and services to discover which series or film, and help you discover new titles

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We bring you a small collection of services to find new series and movies to seebecause sometimes apps suggestions are quite far from being effective. Therefore, there are other external and third -party alternatives that you can use for this. We will have everything from pages and apps that serve to vote or keep the content of the content you see and have sections of recommendations, to other services that have been specially designed to recommend what to see depending on what you like. And as we always say in Xataka Basics, these are our suggestions, but maybe you know others. Therefore, we invite you to miss any service on the list, tell us in the comments section so that all readers can benefit from the knowledge of our xatakers. Chatgpt, Gemini and the like Conventional artificial intelligence chats are the first to can help you with recommendationsboth in their payment and free versions. All you have to tell you is that you want to find free series and movies, and make recommendations. Here, it is also important give examples of titles that you likeeither generic or better that they are related to the type of series or film you want to find. Thus, they can take these tastes into account to recommend. You can also tell you the genres that you like the most. Justwatch Justwatch is a fairly popular service because you can configure what streaming services you have, and then when looking for series and movies it tells you which one is available. But it also has A system of recommendations and discoveries where to find something to see. In this section you will see recommendations based on the virality of the moment, on the searches that users do. It also has a section of novelties and another for searches many filters which includes rotating or IMDB, genres, languages, countries of origin or premiere years. So you can find the best of the best. IMDB This is one of the main series rating portals worldwide, and hundreds of thousands of users use it to put notes to series and movies. Precisely because of that, it is a place to go to know which are the best and worse ones you can see. In addition to lists with the best series and films in history according to the note of the spectators, it also has A section called What to seewhere you can meet several lists of suggestions. These can be for streaming services, at the favor of others, and even the most popular of the moment. Rotten Tomatoes It has positioned itself as the great successor of IMDB, and stands out because in its notes those of critical experts of film and the rest of the people differ, sometimes having great differences. The web also has its list of news and more viewed series or filmsas well as a page with several articles with recommendations. Taste.io This is a page in which you can calculate your cinematographic taste, and then use this calculation to Make custom recommendations. For that, the web will show you a series of films, and you will have to value them. When various values, a taste profile will be created and will show you the recommendations, also based on other data such as the streaming platforms you have. The premise of this service is that the people who will make best recommendations are those that have your same personal tastes. Therefore, once your taste profile is created, compared to other users With similar tastes to make the recommendations. Tasdive This is a fairly simple service, in which you simply write a series or movie that you like, and then I recommend similar things. In addition, in each of the product sheets you will see how many users like or do not like, as well as reviews. In addition to films and series, this service It also serves other types of entertainmentsuch as music, books, games, and even places and brands. It is not the most complete, but it is easy to use. Likewise pix Since at first we have mentioned artificial intelligence systems, there are specialized pages such as likewise that have also created your own AI to make recommendations of content You just have to enter your website and ask what type of series or movie you want to see. Viewing tracking pages There are many apps to follow and control the series and movies you seewhere you are marking and valuing each chapter or film. Among them you have Time Time, Trakt, Letterboxd either Justwatch among many others. These are services that you can use both on its websites and in mobile applications. These services offer several ways to discover content. On the one hand, You can look what your mutuals are seeing and other people you see that they have tastes related to you. In addition, apps They usually have suggestions sections where you will also find recommendations based on your tastes. Reddit Reddit is the greatest metacomunity in the world, A Community of Communities. On this website, you have many subbredits dedicated to films and series where you can find recommendations of all kinds. There are even omunities such as R/TelevisionSuggestions made exactly for this. It is worth taking a look. Use specialized pages And finally, you can also turn to The analysis and recommendations of specialized pagessuch as our partners of ESPINOF either Sensacine. From this page is where I get many suggestions from new series and films, and as it is also recommended that can also help you. In Xataka Basics | 14 apps and services to discover new music in Spotify, Apple Music and other streaming services

14 apps and services to discover new music in Spotify, Apple Music and other streaming services

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We bring you a collection of 14 applications and services to discover music Online, so you can listen to it in your favorite streaming service. Some of these alternatives will connect directly to your account in them, but others will simply make you suggestions so that you can then look for them in your reference service. All we are going to tell you are third -party services which are not options included in the platform itself. You have from maps to explore subgenres to algorithms that show you artists similar to those you already listen. Almost all are web pages, but there is also some application. And as we always say in Xataka Basics, these are our alternatives, but not all that exist. Therefore, we invite you to You leave us your recommendations in the comments section In the event that you think we have left some important service, so that we can all benefit from the knowledge of our xatakers. Every Noise At Once For years, this was the best website that existed to explore for all subgenres that existed in Spotify. It was created by one of its employees, although it was fired in 2023 and the web stopped accessing internal APIs, so it is quite static right now, although It is still a great tool of exploration. Its author still works on it and implements new functions, warning things like Spotify has destroyed the entire labeling system in which he worked for years. Everything so you can look for any substubSubgenero you can think of and find musical proposals on this website. MUSIC MAP This is a website that serves to discover artists related to others What do you like. Thus, if there is any that you love, you can have a series of suggestions to explore others related or that are similar. The suggestions are based on what users who listen to the artist who have sought. Simply use the search engine to write your name and you will see a lot of suggestions. Liveplasma It is basically a project very similar to the previous one. You are looking for an artist you like, and this will generate a kind of family tree in which you will see A large number of similar artists. By clicking on one, you can listen to a fragment of your music. Then, it will be your thing to look for them in the streaming service you use. Last.fm Last.FM is the most important page to keep statistics of everything you hear unified. It is open, and you can link it to your account of the main streaming services, even in applications with which to listen to music from MP3 files. Thus, you will have the data of everything you hear. The advantage of having all these data from millions of users is that it also has A powerful engine of recommendationsso based on your musical tastes recommend artists, records or songs. It is always interesting to enter and look at what you have today. Swipefy This is possibly THE BEST APPLICATION OF MUSICand the one that can be joined with Spotify or Apple Music. What he does is analyze the songs you like and use their algorithms to make recommendations, which you can say that you like or do not like. As songs like you like or not, the algorithm will be refined, becoming an interesting “tinder” of music. From each recommendation you can hear a few seconds, and has Links to listen to it in streaming both in Spotify and Apple Music. Gnoosic This is another page of musical discovery based on current tastes. In this case it does not depend on your accounts in streaming services, but You have to write down three artists that you likeand then the web will begin to make suggestions. With every suggestion that the web shows you, you can say if you like it, if you don’t like it or if you don’t know them. And with this, You will be making several recommendations Learning from the data and the valuations you are giving. Shazam This application is the best to recognize the music that is playing Around you. You simply activate it and the app is listening, and then it tells you the exact song that it is about. Upon entering your card, you will have links to listen to it, additional information about the artist and the possibility of adding it to a playlist. Shazam has mobile applications on both Android and iOS. Listen by Label This is a page that allows you Find records by record label. You can look for your favorite stamp, and you will have a catalog with your releases so you can discover music. You can also look for stamps by artist or by musical genre. Garden Radio This is a web page where you can access Online emissions of all the world’s musical radios. You just have to navigate the map to the location you want and ready, you can listen to that live musical station and discover what they are listening to in each country. It is not as comfortable and direct as the specialized websites, but it has some advantages. Because in the end, what they put in the 40s in Spain has nothing to do with what they can be putting in Estonia or South Africa, so it is a good way to discover local rhythms. SMARTER PLAYLISTS This is a spotify -based web tool, in which you can Create smart reproduction lists Based on a wide amount of orders or inputs. You just have to configure this list, and it will be generated automatically. When configuring it you can choose several sources, such as artists, albums, musical genres, and All kinds of filters with those to adapt it to your specific tastes. It can be a bit complex, but quite original. Reddit Reddit is a metacomunity, possibly the largest in the world. On this website users create subnets or … Read more

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