[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-how-ai-is-compressing-the-minimum-viable-company-size":45,"article-ads":209},{"data":4},[5,32,39],{"name":6,"slug":7,"categories":8},"Technology","tech",[9,12,16,20,24,28],{"id":10,"title":6,"slug":11},28,"technology",{"id":13,"title":14,"slug":15},37,"Creator Economy","creator-economy",{"id":17,"title":18,"slug":19},20,"Work","work",{"id":21,"title":22,"slug":23},22,"Finance","finance",{"id":25,"title":26,"slug":27},31,"YouTube Blog","youtube-blog",{"id":29,"title":30,"slug":31},21,"For newbies","for-newbies",{"name":33,"slug":34,"categories":35},"News","news",[36],{"id":37,"title":33,"slug":38},18,"quasanews",{"name":40,"slug":41,"categories":42},"Business","business",[43],{"id":44,"title":40,"slug":41},16,{"post":46,"published_news":74,"popular_news":135,"categories":200},{"title":47,"description":48,"meta_title":49,"meta_description":50,"meta_keywords":51,"text":52,"slug":53,"created_at":54,"publish_at":55,"formatted_created_at":56,"category_id":29,"links":57,"view_type":62,"video_url":63,"views":64,"likes":65,"lang":66,"comments_count":65,"category":67},"How AI Is Compressing the Minimum Viable Company Size","AI lets solo founders cover more coding, design, research, and operations before hiring. The practical advantage is faster, cheaper validation—not the removal of human judgment or the need to build a durable team.","How AI Is Shrinking the Minimum Viable Startup Team","AI helps solo founders cover coding, design, research, and operations. Learn what it changes, where human control remains essential, and when to hire.","AI startup, solo founder, startup team size, AI entrepreneurship, MVP, startup operations, founder tools, lean startup","\u003Cp>\u003Cstrong>AI is compressing the minimum viable company size\u003C/strong> by allowing one founder to cover more of the early work previously split between developers, designers, researchers, marketers, and operations staff. That makes it possible to test a narrower software product with less upfront capital and fewer hires, especially when the founder can define the customer problem and review the output carefully.\u003C/p>\u003Cp>The important distinction is between launching an experiment and building a durable company. AI reduces the cost and time required to reach a credible first test; it does not remove the need for customer insight, quality control, distribution, legal responsibility, security, or eventually broader expertise.\u003C/p>\u003Ch3>What “minimum viable company size” means in 2026\u003C/h3>\u003Cp>The minimum viable company is the smallest operating setup that can discover a real customer problem, deliver a usable solution, collect payment or meaningful usage data, and learn from the result. It is larger than an MVP in the narrow product sense because a product without customer discovery, support, billing, and basic compliance is not yet a functioning business.\u003C/p>\u003Cp>AI changes this threshold by turning many specialist tasks into assisted workflows. A founder can describe a feature, ask for an initial implementation, generate alternative landing-page structures, summarize competitor documentation, draft customer-support replies, and connect routine data tasks through software tools. The founder still owns the decisions and review, but fewer hours need to be purchased from separate specialists before the first market test.\u003C/p>\u003Cp>This shift is consistent with \u003Ca href=\"https://carta.com/sg/en/data/solo-founders-report/\" target=\"_blank\" rel=\"nofollow noopener\">Carta’s 2025 solo-founder data\u003C/a>: the share of new startups with a solo founder rose from 23.7% in 2019 to 36.3% in the first half of 2025. Carta also reports that solo-led companies represented 30% of startups founded in 2024 but received 14.7% of the cash raised in priced equity rounds. Easier formation therefore does not mean equal access to capital or equal probability of scale.\u003C/p>\u003Ch3>Where AI replaces early startup capacity\u003C/h3>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/images/news/WMyPqNsUGmMUJgKhTQ6OFFaAS509QxJsIprA78MT.webp\" type=\"image/webp\">\u003Cimg class=\"image-align-left\" src=\"https://cdn.quasa.io/images/news/WMyPqNsUGmMUJgKhTQ6OFFaAS509QxJsIprA78MT.png\" alt=\"Один основатель объединяет кодирование, дизайн, исследование и операционные задачи в единый тест узкого MVP.\" width=\"300\">\u003C/picture>\u003Cp>AI is most useful when the work is repeatable, text-heavy, or easy to verify against a clear standard. It is less reliable when the task depends on trust, proprietary context, physical execution, or an ambiguous decision about what matters.\u003C/p>\u003Cul>\u003Cli>\u003Cstrong>Coding:\u003C/strong> an AI coding assistant can draft boilerplate, explain unfamiliar code, write tests, suggest database queries, and help investigate bugs. In a controlled experiment with 95 professional developers, the GitHub Copilot group completed a defined JavaScript task 55% faster on average. \u003Ca href=\"https://github.blog/news-insights/research/research-quantifying-github-copilots-impact-on-developer-productivity-and-happiness/\" target=\"_blank\" rel=\"nofollow noopener\">GitHub’s published experiment\u003C/a> measured one task and participant group, so it should not be treated as a universal forecast for startup development.\u003C/li>\u003Cli>\u003Cstrong>Design:\u003C/strong> generative tools can produce interface directions, copy variations, wireframes, and visual assets quickly. The founder can compare several options before paying for a full brand or product-design engagement.\u003C/li>\u003Cli>\u003Cstrong>Research:\u003C/strong> models can structure public information, extract themes from interviews, compare competitors, and turn a messy question into a research plan. The output still requires source checking because fluent summaries can preserve errors or miss important context.\u003C/li>\u003Cli>\u003Cstrong>Operations:\u003C/strong> AI can classify support requests, draft routine replies, prepare meeting notes, update records, produce internal checklists, and coordinate recurring workflows. These tasks matter because they consume founder time even when they do not create product differentiation.\u003C/li>\u003C/ul>\u003Cp>OpenAI’s current examples of AI-native companies describe models being used to write code, research markets, serve customers, identify risk, and operate support workflows. \u003Ca href=\"https://openai.com/index/frontier-builders/\" target=\"_blank\" rel=\"nofollow noopener\">Those company examples\u003C/a> show that AI is moving across functions, but they do not prove that a new founder can safely delegate an entire function without supervision.\u003C/p>\u003Ch3>Why coding is only the first compression point\u003C/h3>\u003Cp>Software development attracts the most attention because generated code is visible, but the bigger change comes from connecting several modest time savings. A founder who saves time on a prototype but spends every evening researching prospects, preparing sales material, answering support messages, and reconciling operations has not materially changed the company’s capacity.\u003C/p>\u003Cp>The better model is an integrated loop: research identifies a narrow problem, a prototype makes the proposed solution concrete, design helps a user understand it, and operational automation records what happens next. AI can reduce the delay between each stage, allowing more experiments before the founder commits to a large build or a full-time team.\u003C/p>\u003Cp>Anthropic’s June 2026 Economic Index provides a timely signal about this broader use. Its analysis found that conversations related to starting a business were highest on Saturdays and Sundays across countries, while its artifact analysis found that code and technical work accounted for about one-sixth of Claude conversations. The report also states that Claude Code and Cowork can operate autonomously for hours, but these are usage patterns and product capabilities—not evidence that autonomous systems can replace founders.\u003C/p>\u003Ch3>How a solo founder should use AI before hiring\u003C/h3>\u003Cp>The practical objective is not to automate everything. It is to identify the work that can be delegated safely while protecting the founder’s attention for decisions that create learning.\u003C/p>\u003Col>\u003Cli>\u003Cstrong>Define one customer and one painful job.\u003C/strong> Write a one-sentence problem statement before asking an AI tool for product ideas. If the target user and desired outcome are vague, faster generation will produce more unrelated concepts rather than better evidence.\u003C/li>\u003Cli>\u003Cstrong>Use AI to create competing hypotheses.\u003C/strong> Ask for several explanations of the problem, alternative workflows, likely objections, and the evidence that would disprove each assumption. Treat the result as a research map, not as market validation.\u003C/li>\u003Cli>\u003Cstrong>Build the smallest testable workflow.\u003C/strong> Prioritize one action that demonstrates value. A narrow dashboard, calculator, workflow assistant, or concierge-style service may be more informative than a broad platform with many generated features.\u003C/li>\u003Cli>\u003Cstrong>Instrument the experiment.\u003C/strong> Record activation, repeat use, completion, replies, paid conversions, or another behavior that reflects the problem. Do not rely only on AI-generated feedback summaries or vanity metrics.\u003C/li>\u003Cli>\u003Cstrong>Automate repetitive follow-up.\u003C/strong> Once the workflow is stable, use AI for drafts, classification, reminders, and reporting. Keep approval gates around customer-facing claims, payments, sensitive data, and irreversible actions.\u003C/li>\u003Cli>\u003Cstrong>Review the economics weekly.\u003C/strong> Compare model costs, software subscriptions, hosting, contractor spending, refunds, support time, and founder hours. AI can reduce payroll while quietly increasing variable usage costs or operational complexity.\u003C/li>\u003C/ol>\u003Cp>A useful rule is to automate a process only after you can explain it manually. If you cannot tell what a workflow is supposed to do, an AI agent will make it faster to produce inconsistent results.\u003C/p>\u003Cp>Founders who want a more detailed validation workflow can also review \u003Ca href=\"https://quasa.io/media/how-solo-founders-can-use-pazi-ai-agents-to-validate-a-business-idea\" target=\"_blank\" rel=\"nofollow noopener\">a practical approach to validating an idea with AI agents\u003C/a>.\u003C/p>\u003Ch3>What founders should keep human-controlled\u003C/h3>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/images/news/5DbUq4S9bjaByfDLerqiMSB6OJu70KWLhy1XmfiL.webp\" type=\"image/webp\">\u003Cimg class=\"image-align-right\" src=\"https://cdn.quasa.io/images/news/5DbUq4S9bjaByfDLerqiMSB6OJu70KWLhy1XmfiL.png\" alt=\"Основатель проверяет сгенерированный код и сохраняет человеческий контроль над безопасностью, данными и обязательствами перед клиентами.\" width=\"300\">\u003C/picture>\u003Cp>The founder should retain control over customer promises, pricing, security boundaries, hiring decisions, legal commitments, and the interpretation of ambiguous feedback. These are not merely tasks that need a final approval button; they determine what the company is and what risks it accepts.\u003C/p>\u003Cp>Generated code also needs a review process. Check authentication, authorization, secret handling, dependency licenses, data retention, error handling, and tests before exposing a product to real users. An assistant may produce code that looks complete while failing under unusual inputs or relying on unsafe defaults.\u003C/p>\u003Cp>Research requires the same discipline. Ask for links to original documents, open the important sources yourself, separate observed facts from inference, and label unknowns. A polished competitor analysis is not evidence unless its claims can be traced to reliable public information or direct customer research.\u003C/p>\u003Ch3>Why lower launch costs do not guarantee better startups\u003C/h3>\u003Cp>Lowering the entry barrier creates more experiments, but it also makes it easier to launch before the founder has a strong reason to continue. When prototypes become cheap, customer attention, distribution, differentiated data, trust, and sustained execution become relatively more important.\u003C/p>\u003Cp>This is the central limitation of the compressed-company thesis: AI reduces the cost of making a credible attempt, not the cost of earning durable demand. A founder can produce a working demo quickly and still fail because the problem is infrequent, the buyer is difficult to reach, the workflow is not trusted, or the economics do not support support and infrastructure costs.\u003C/p>\u003Cp>Teams may also retain advantages that software cannot fully reproduce. A co-founder can challenge a weak assumption, share emotional load, bring a different network, or take ownership of a critical function. The right question is therefore not “Can AI replace a co-founder?” but “Which capability is currently the bottleneck, and can AI cover it without reducing decision quality?”\u003C/p>\u003Ch3>When staying solo is rational—and when it is not\u003C/h3>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/images/news/64T0mWFoqMlIA8v9sSgYxXjgQM7FUT8Jjpe9FRqV.webp\" type=\"image/webp\">\u003Cimg class=\"image-align-left\" src=\"https://cdn.quasa.io/images/news/64T0mWFoqMlIA8v9sSgYxXjgQM7FUT8Jjpe9FRqV.png\" alt=\"AI помогает небольшому стартапу дойти до первых сигналов спроса, но рост поддержки, регулирования и продаж создаёт обоснованный момент для найма.\" width=\"300\">\u003C/picture>\u003Cp>Staying solo can be rational when the product has a narrow scope, a low support burden, limited operational risk, and a distribution channel the founder can manage directly. It is especially attractive during discovery, when hiring before knowing what to build creates coordination cost and commits cash before the main assumptions are tested.\u003C/p>\u003Cp>Hiring or adding a co-founder becomes more compelling when customers require live implementation, regulated handling of sensitive information, deep domain expertise, enterprise procurement, round-the-clock support, or a large amount of non-automatable relationship work. Physical products, marketplaces, medical services, and infrastructure-heavy businesses may reach their viable threshold quickly even if AI accelerates parts of research or software development.\u003C/p>\u003Cp>Capital should follow evidence rather than precede it. A founder can use a small budget for model usage, hosting, design support, legal setup, and targeted contractors, then expand spending when a repeatable customer signal appears. This approach does not eliminate fundraising; it can improve the decision about whether fundraising is necessary and what the money should accomplish.\u003C/p>\u003Ch3>A practical operating model for the first 90 days\u003C/h3>\u003Cp>For a first-time founder, the most durable AI advantage is a short learning cycle. Organize the company around three parallel tracks: customer evidence, product delivery, and operating control.\u003C/p>\u003Cul>\u003Cli>Each week, collect a small number of direct customer conversations or observed usage events.\u003C/li>\u003Cli>Turn the strongest recurring problem into one product change, not a large feature backlog.\u003C/li>\u003Cli>Use AI to prepare drafts, analysis, tests, and documentation, while a human checks every material output.\u003C/li>\u003Cli>Maintain a decision log containing the assumption, evidence, action, and next review date.\u003C/li>\u003Cli>Set a hiring trigger in advance, such as a support queue, sales workload, security requirement, or delivery bottleneck that automation can no longer cover reliably.\u003C/li>\u003C/ul>\u003Cp>This structure prevents a common failure mode: using AI to generate a large amount of product activity without learning whether anyone needs the result. The company remains small because it is focused, not because it has confused low headcount with progress.\u003C/p>\u003Ch3>The next step for a new founder\u003C/h3>\u003Cp>Start with a problem you can investigate directly and map every task required to test it: research, prototype, design, outreach, delivery, support, and measurement. Mark each task as founder-only, AI-assisted, safely automated, or specialist-required.\u003C/p>\u003Cp>Then run one tightly scoped experiment with a fixed budget and a defined decision rule. If the result is weak, AI has helped you learn cheaply; if the result is promising, the evidence will show whether the next constraint is code, distribution, domain expertise, reliability, or capacity. That is the real effect of AI on startup size: it lets a smaller company reach the first serious decision before committing to the larger company it may eventually need to become.\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/how-solo-founders-can-use-pazi-ai-agents-to-validate-a-business-idea\">How Solo Founders Can Use Pazi AI Agents to Validate a Business Idea\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/indian-startups-raised-346-2m-in-the-week-ended-july-17\">Indian Startups Raised $346.2M in the Week Ended July 17\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/24-niche-micro-saas-and-ai-startup-ideas-for-beginners-in-2026\">24 Niche Micro-SaaS and AI Startup Ideas for Beginners in 2026\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/what-ami-labs-oratomic-and-prime-intellect-signal-for-deep-tech-founders\">What AMI Labs, Oratomic and Prime Intellect Signal for Deep-Tech Founders\u003C/a>\u003C/li>\n\u003C/ul>","how-ai-is-compressing-the-minimum-viable-company-size","2026-07-26T07:03:11.000000Z","2026-07-26T17:07:00.000000Z","26.07.2026",{"image":58,"image_webp":59,"thumb":60,"thumb_webp":61},"https://cdn.quasa.io/images/news/NgN5ModtgtLHhD8vUtTMLXdWpkrjzOrgjgok4oXK.png","https://cdn.quasa.io/images/news/NgN5ModtgtLHhD8vUtTMLXdWpkrjzOrgjgok4oXK.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/NgN5ModtgtLHhD8vUtTMLXdWpkrjzOrgjgok4oXK.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/NgN5ModtgtLHhD8vUtTMLXdWpkrjzOrgjgok4oXK.webp","large",null,13,0,"en",{"id":29,"title":30,"slug":31,"meta_title":68,"meta_description":69,"meta_keywords":70,"show_on_homepage":71,"deleted_at":63,"created_at":72,"updated_at":73,"lang":66},"For Newbies: Business, Startups and AI Tools | QUASA","How to start a business, find early investment, choose a direction and use modern AI tools.","for newbies, start a business, investment, AI tools, startup ideas",false,"2021-10-25T14:55:26.000000Z","2026-07-16T20:17:45.000000Z",[75,87,100,111,123],{"title":76,"description":77,"slug":78,"created_at":54,"publish_at":79,"formatted_created_at":56,"category":80,"links":81,"view_type":62,"video_url":63,"views":86,"likes":65,"lang":66,"comments_count":65,"is_pinned":71},"Microsoft Frontier Company: What Founders Can Learn About Trusted AI","Microsoft’s Frontier Company signals a shift from selling AI tools to embedding engineering teams inside business workflows. Here is what new founders can learn about measurable outcomes, data protection, model choice, and continuous deployment.","microsoft-frontier-company-what-founders-can-learn-about-trusted-ai","2026-07-26T19:07:00.000000Z",{"title":30,"slug":31},{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/qka11yLNfB4sg8IA1hq39L7Sw2ta2zmfhiuVF1vY.png","https://cdn.quasa.io/images/news/qka11yLNfB4sg8IA1hq39L7Sw2ta2zmfhiuVF1vY.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/qka11yLNfB4sg8IA1hq39L7Sw2ta2zmfhiuVF1vY.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/qka11yLNfB4sg8IA1hq39L7Sw2ta2zmfhiuVF1vY.webp",1,{"title":88,"description":89,"slug":90,"created_at":91,"publish_at":92,"formatted_created_at":56,"category":93,"links":94,"view_type":62,"video_url":63,"views":99,"likes":65,"lang":66,"comments_count":65,"is_pinned":71},"WhistlinDiesel Crash Rumors: Cody Detwiler Is Alive","WhistlinDiesel death rumors followed a cryptic TikTok showing a damaged Tesla Cybertruck. Recent reporting and Cody Detwiler’s July 24 Instagram update indicate that he is alive and promoting a new durability-test video.","whistlindiesel-crash-rumors-cody-detwiler-is-alive","2026-07-26T15:18:02.000000Z","2026-07-26T19:00:00.000000Z",{"title":14,"slug":15},{"image":95,"image_webp":96,"thumb":97,"thumb_webp":98},"https://cdn.quasa.io/images/news/rcbzbXnxrrAiFFNzAXTeAAqdm9Muav66dJqNKk2g.png","https://cdn.quasa.io/images/news/rcbzbXnxrrAiFFNzAXTeAAqdm9Muav66dJqNKk2g.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/rcbzbXnxrrAiFFNzAXTeAAqdm9Muav66dJqNKk2g.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/rcbzbXnxrrAiFFNzAXTeAAqdm9Muav66dJqNKk2g.webp",2,{"title":101,"description":102,"slug":103,"created_at":104,"publish_at":92,"formatted_created_at":56,"category":105,"links":106,"view_type":62,"video_url":63,"views":99,"likes":65,"lang":66,"comments_count":65,"is_pinned":71},"What Palo Alto Networks’ Embrace Acquisition Means for Observability Teams","Palo Alto Networks plans to acquire Embrace to add Real User Monitoring to its observability platform, while introducing synthetic application checks. Here is what the deal changes for engineering, SRE and security teams—and what remains unconfirmed.","what-palo-alto-networks-embrace-acquisition-means-for-observability-teams","2026-07-26T15:04:23.000000Z",{"title":6,"slug":11},{"image":107,"image_webp":108,"thumb":109,"thumb_webp":110},"https://cdn.quasa.io/images/news/Kz05mBl4MxBTvwuT2JjS5U7fI2v1Ozxvw0we9Moc.png","https://cdn.quasa.io/images/news/Kz05mBl4MxBTvwuT2JjS5U7fI2v1Ozxvw0we9Moc.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/Kz05mBl4MxBTvwuT2JjS5U7fI2v1Ozxvw0we9Moc.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/Kz05mBl4MxBTvwuT2JjS5U7fI2v1Ozxvw0we9Moc.webp",{"title":112,"description":113,"slug":114,"created_at":54,"publish_at":115,"formatted_created_at":56,"category":116,"links":117,"view_type":62,"video_url":63,"views":122,"likes":65,"lang":66,"comments_count":65,"is_pinned":71},"Using AI Tools for Fundraising and Investor Pitches in 2026","A practical workflow for first-time founders using AI to review pitch decks, qualify investors, manage outreach, and prepare for fundraising conversations without outsourcing judgment.","using-ai-tools-for-fundraising-and-investor-pitches-in-2026","2026-07-26T18:07:00.000000Z",{"title":30,"slug":31},{"image":118,"image_webp":119,"thumb":120,"thumb_webp":121},"https://cdn.quasa.io/images/news/5Gk77QKongLdmuZPEC72AfO9DiktByPZdqtK1zAf.png","https://cdn.quasa.io/images/news/5Gk77QKongLdmuZPEC72AfO9DiktByPZdqtK1zAf.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/5Gk77QKongLdmuZPEC72AfO9DiktByPZdqtK1zAf.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/5Gk77QKongLdmuZPEC72AfO9DiktByPZdqtK1zAf.webp",7,{"title":124,"description":125,"slug":126,"created_at":91,"publish_at":127,"formatted_created_at":56,"category":128,"links":129,"view_type":62,"video_url":63,"views":134,"likes":65,"lang":66,"comments_count":65,"is_pinned":71},"PlayStation Network Status: What Happened in the July 24 Outage","PlayStation Network suffered a widespread outage on July 24, 2026, affecting sign-in, online play, the Store and other services before recovery began. Here is what was confirmed and what remains unknown.","playstation-network-status-what-happened-in-the-july-24-outage","2026-07-26T18:00:00.000000Z",{"title":6,"slug":11},{"image":130,"image_webp":131,"thumb":132,"thumb_webp":133},"https://cdn.quasa.io/images/news/g2DUnDX9XpGuWOhGm5HD1ZzEZYApp906Zaz1xzJU.png","https://cdn.quasa.io/images/news/g2DUnDX9XpGuWOhGm5HD1ZzEZYApp906Zaz1xzJU.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/g2DUnDX9XpGuWOhGm5HD1ZzEZYApp906Zaz1xzJU.png","https://cdn.quasa.io/thumbs/news-thumb/images/news/g2DUnDX9XpGuWOhGm5HD1ZzEZYApp906Zaz1xzJU.webp",8,[136,149,161,174,186],{"title":137,"description":138,"slug":139,"created_at":140,"publish_at":141,"formatted_created_at":142,"category":143,"links":144,"view_type":147,"video_url":63,"views":148,"likes":86,"lang":66,"comments_count":65,"is_pinned":71},"5 Business Advantages of Using 3D Printing Technology for Prototyping","Rapid prototyping using 3D printing technology is increasingly becoming 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However, this is far from the truth. Website surfing, or browsing websites for rewards, is an accessible way to earn money or cryptocurrency with just a computer or smartphone and an internet connection.One of the easiest methods to generate income in the digital space is through website surfing. The tasks involved are so simple that virtually anyone can participate, regardless of experience or technical expertise.In this article, we’ll introduce you to a platform where you can start earning money and cryptocurrency through website surfing: Quasa Rewards.","earning-money-through-website-surfing-a-simple-way-to-make-cryptocurrency","2025-09-26T10:51:12.000000Z","2025-12-11T10:51:12.000000Z","11.12.2025",{"id":37,"title":33,"slug":38,"meta_title":224,"meta_description":225,"meta_keywords":226,"show_on_homepage":227,"deleted_at":63,"created_at":228,"updated_at":73,"lang":66},"Technology, AI, Space and Robotics News | QUASA","Important technology, AI, space and robotics news from the US, Europe, China, India and the rest of the world.","technology news, AI news, space, robotics, technology companies",true,"2021-08-09T19:09:44.000000Z",{"image":230,"image_webp":231,"thumb":232,"thumb_webp":233},"https://cdn.quasa.io/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.jpg","https://cdn.quasa.io/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/YSiJuxDAmWhSW9FRj9ySKpji0y7gn3H3M7GejA0x.webp",8528,{"id":236,"order":65,"created_at":237,"expired_at":238,"news_id":239,"post":240},86,"2026-06-07T14:36:10.000000Z","2029-06-07 14:35:45",4545,{"id":239,"title":187,"description":188,"slug":189,"created_at":190,"publish_at":191,"formatted_created_at":192,"category":241,"links":242,"view_type":62,"video_url":63,"views":199,"likes":134,"lang":66,"comments_count":63},{"id":37,"title":33,"slug":38,"meta_title":224,"meta_description":225,"meta_keywords":226,"show_on_homepage":227,"deleted_at":63,"created_at":228,"updated_at":73,"lang":66},{"image":195,"image_webp":196,"thumb":197,"thumb_webp":198},{"id":244,"order":65,"created_at":245,"expired_at":246,"news_id":247,"post":248},87,"2026-06-07T14:46:09.000000Z","2031-06-07 14:45:52",1229,{"id":247,"title":249,"description":250,"slug":251,"created_at":252,"publish_at":253,"formatted_created_at":254,"category":255,"links":260,"view_type":147,"video_url":63,"views":263,"likes":122,"lang":66,"comments_count":63},"What is a Startup?","A startup is not a new company, not a tech company, nor a new tech company. You can be a new tech company, if your goal is not to grow high and fast; then, you are not a startup. ","what-is-a-startup","2021-08-04T12:05:17.000000Z","2025-12-17T13:02:00.000000Z","17.12.2025",{"id":44,"title":40,"slug":41,"meta_title":256,"meta_description":257,"meta_keywords":258,"show_on_homepage":227,"deleted_at":63,"created_at":259,"updated_at":73,"lang":66},"Technology Business, Startups and Growth Strategies | QUASA","Technology business news, startups, entrepreneurship, growth strategies and emerging business models.","business, technology business, startups, strategy, growth","2021-08-03T10:59:17.000000Z",{"image":261,"image_webp":63,"thumb":262,"thumb_webp":262},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",80744,{"id":265,"order":86,"created_at":266,"expired_at":267,"news_id":268,"post":269},92,"2026-06-07T15:05:49.000000Z","2033-06-07 15:05:26",13757,{"id":268,"title":270,"description":271,"slug":272,"created_at":273,"publish_at":274,"formatted_created_at":275,"category":276,"links":281,"view_type":147,"video_url":63,"views":286,"likes":99,"lang":66,"comments_count":63},"The State of Hybrid Freelance 2026: AI, Web3 and the Death of Traditional Work (Update June 2026)","New industry data from QUASA: How AI and Web3 are destroying traditional work in 2026. 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