Latest news with #ManusAI
Geeky Gadgets
18-05-2025
- Geeky Gadgets
Vibe Coding : Build Apps Without Coding Skills from Idea to App in Minutes
What if building an app wasn't a months-long grind of endless coding and debugging, but instead felt like a creative jam session? Imagine sitting down with just your laptop and a spark of inspiration, and within 15 minutes, you've got a fully functional app—complete with a database, user login, and even monetization features. Sounds impossible? Thanks to the rise of AI-powered tools and a innovative approach called 'vibe coding,' this is no longer a pipe dream. Whether you're a seasoned developer or someone who's barely touched a line of code, vibe coding flips the script on traditional app development, making it faster, smarter, and surprisingly fun. Creator Magic shows how vibe coding enables creators to build apps at lightning speed without sacrificing quality or security. From automating backend processes like database management and user authentication to generating stunning visuals with AI, this approach is a fantastic option. You'll also explore the tools that make it all possible—think Supabase for real-time updates, Manus AI for design, and even ChatGPT-4 for troubleshooting. But vibe coding isn't just about speed; it's about unlocking creativity and making app development accessible to anyone with an idea. What could you create if the barriers of time and complexity disappeared What is Vibe Coding? Vibe coding is an innovative, AI-driven methodology that simplifies app development by automating complex and repetitive tasks. Instead of manually coding every feature, you can use AI tools to handle backend processes, allowing you to focus on creativity and user experience. Platforms like Supabase, Google login integration, and Manus AI make it possible to manage databases, implement user authentication, and generate assets with minimal effort. For example, Supabase enables you to set up a database, manage user data, and integrate authentication features without requiring extensive backend expertise. Similarly, Google login integration simplifies user onboarding, creating a seamless experience for your app's audience. By automating these essential tasks, vibe coding enables you to bring your ideas to life quickly and efficiently. Key AI Tools for Vibe Coding AI tools are the foundation of vibe coding, addressing various aspects of app development and streamlining the process. Here are some of the most effective tools and their applications: Manus AI: Generate visually appealing assets such as icons, banners, and layouts to enhance your app's design and user interface. Generate visually appealing assets such as icons, banners, and layouts to enhance your app's design and user interface. Hostinger Horizons: A dependable platform for hosting and deploying your app, making sure scalability, reliability, and uptime. A dependable platform for hosting and deploying your app, making sure scalability, reliability, and uptime. Windsurf: Accelerate development with pre-built templates and AI-assisted coding suggestions, reducing the time spent on repetitive tasks. Accelerate development with pre-built templates and AI-assisted coding suggestions, reducing the time spent on repetitive tasks. Supabase: Manage databases, enable real-time updates, and implement user authentication with ease, even if you lack advanced backend knowledge. These tools not only speed up the development process but also enhance the quality of your app by automating error-prone tasks and allowing you to focus on innovation. Vibe Coding an App with Database & Login in just 15 Mins Watch this video on YouTube. Take a look at other insightful guides from our broad collection that might capture your interest in Vibe coding. Real-World Applications of Vibe Coding Vibe coding is versatile and can be applied to a wide range of projects, from simple tools to more complex applications. Here are two examples that demonstrate its potential: 2D Game Development: Create a game like 'Super Snake' by using AI-generated assets for characters, backgrounds, and animations. Supabase can manage user data, such as scores and player profiles, while Manus AI handles the visual design elements. Create a game like 'Super Snake' by using AI-generated assets for characters, backgrounds, and animations. Supabase can manage user data, such as scores and player profiles, while Manus AI handles the visual design elements. Micro SaaS App: Develop a tool like 'Pimp My Thumb,' which enhances YouTube thumbnails. AI tools can generate creative thumbnail designs, while you integrate user libraries and credit-based systems to add functionality and monetize the app. These examples illustrate how vibe coding can transform your ideas into fully functional applications with minimal effort, making it accessible even for those with limited coding experience. Prioritizing Safe Coding Practices While AI tools offer significant advantages in speed and efficiency, they also introduce potential risks. AI-generated code may contain vulnerabilities that could compromise your app's security. To ensure your app remains secure and reliable, it's essential to follow these best practices: Use tools like Code Rabbit to review your code, identify bugs, and detect vulnerabilities before deployment. to review your code, identify bugs, and detect vulnerabilities before deployment. Regularly back up your code and databases to prevent data loss in case of unexpected issues. Adhere to industry-standard safe coding practices, such as input validation and secure data storage, to protect user information. By combining the efficiency of AI with robust security measures, you can create apps that are both innovative and trustworthy. Overcoming Challenges with AI Assistance Troubleshooting is an inevitable part of app development, especially when working with AI-generated code. Advanced AI models like ChatGPT-4 can assist in identifying and resolving issues. For instance, if your app encounters a bug during real-time updates, ChatGPT-4 can analyze the problem and provide actionable solutions. Additionally, implementing a user feedback system can help uncover issues that may not be immediately apparent. Encouraging users to report bugs or suggest improvements ensures that your app evolves to meet their needs, resulting in a more polished and user-friendly product. Enhancing Your App Post-Launch Once your app is live, the focus shifts to adding advanced features and maintaining user engagement. Enhancements not only improve functionality but also keep your app relevant in a competitive market. Consider implementing the following upgrades: Payment Gateways: Enable secure in-app transactions to monetize your app and provide users with premium features. Enable secure in-app transactions to monetize your app and provide users with premium features. Credit-Based Systems: Incentivize user engagement by offering rewards for specific actions, such as completing tasks or referring friends. Incentivize user engagement by offering rewards for specific actions, such as completing tasks or referring friends. Real-Time Updates: Keep your app dynamic and responsive by delivering updates that reflect user feedback and changing needs. Keep your app dynamic and responsive by delivering updates that reflect user feedback and changing needs. AI-Generated Assets: Continuously refresh your app's design and functionality with new, AI-created elements to maintain user interest. These upgrades not only enhance the user experience but also contribute to the long-term success of your app. Engaging Your Users User engagement is a critical factor in your app's success. Offering incentives, such as free credits, exclusive features, or early access to new updates, can encourage users to explore your app and remain active. Additionally, gathering user feedback is invaluable for identifying areas of improvement and making sure your app evolves to meet their expectations. A strong focus on user engagement fosters loyalty and helps your app stand out in a crowded marketplace. Media Credit: Creator Magic Filed Under: AI, Guides Latest Geeky Gadgets Deals Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
South China Morning Post
13-05-2025
- Business
- South China Morning Post
China's Manus AI offers free registration after fresh funding amid AI agent competition
The artificial intelligence (AI) agent Manus AI is now open for public registration, eliminating its previous wait-list system following new funding and growing competition. Since its invite-only launch in early March, the general-purpose AI agent, developed by a team of Chinese entrepreneurs, has captured the attention of the global AI community, thanks in large part to its ability to handle complex tasks. This has made it one of the hottest AI start-ups to emerge from China since DeepSeek The decision to open registrations – making one of the most sought-after and difficult-to-access AI services freely available to everyone – comes after the company's latest funding round amid rising competition from Big Tech and other AI start-ups. Manus recently raised US$75 million in funding at a US$500 million valuation in a round led by US venture capital firm Benchmark Capital, according to a Bloomberg report. Manus did not immediately respond to a request for comment. US media outlet Semafor reported last week that the US Treasury Department was reviewing the recent investment. Benchmark is based in California. Manus said it was giving users a one-time bonus of 1,000 credits so that everyone could try the service. An additional 300 credits would be added to free user accounts on a daily basis, the company said in a notice on its website.
Economic Times
11-05-2025
- Business
- Economic Times
OpenAI leads surge in business AI adoption, Ramp AI Index reveals
Reuters The OpenAI logo, a keyboard, and robot hands are seen in this illustration taken January 27, 2025. REUTERS/Dado Ruvic/Illustration OpenAI is at the forefront of enterprise AI adoption, topping the Ramp AI Index by acquiring customers faster than any other provider on American fintech company Ramp's platform. Chinese AI company Manus AI follows closely in second Ramp AI Index, which tracks real corporate spending on AI tools and services from over 30,000 US businesses, highlights a significant uptick in enterprise AI usage. The data is compiled monthly using actual transactions from Ramp's corporate card and bill payment platform, offering a tangible measurement of how businesses are embracing artificial intelligence. While foundational model providers continue to dominate, the report shows a notable rise in the adoption of specialised AI tools tailored to specific enterprise needs. Specialised AI: The next big game One standout example is Turbopuffer, an internal data search engine that leverages vector search to handle billions of entries efficiently. Its speed and precision make it popular among technical teams seeking scalable AI infrastructure. Other rapidly growing AI vendors include: Jasper, which provides AI-powered writing tools for marketers. Deepgram, a speech recognition platform for voice transcription. Snowflake, whose Cortex suite enables businesses to integrate large language models and semantic functions directly into SQL workflows, empowering data teams without requiring system overhauls. Enterprise adoption accelerates ET had earlier reported that larger companies—with annual revenues of at least $500 million—are adopting AI more quickly than smaller organisations. Ramp's latest data supports this trend and further reveals that smaller, specialised AI vendors are seeing impressive gains. Several new entrants climbed into the top ranks for AI-related spending in May, underscoring a shift beyond the dominance of big foundational model new customer count, OpenAI, Cursor, Canva, LinkedIn and GoDaddy lead the charts whereas Maxon Computer, JasperAI and are next in line after Manus AI in terms of largest percentage change in customer count. A recent survey found that one in three tech professionals in India is currently undergoing formal AI training via their employers—highlighting the growing demand for AI-related skills. Ramp also noted that actual AI adoption may be higher than reported, as many businesses use free tools or rely on employees' personal accounts—factors not captured in transaction-based data. Global AI market outlook The global enterprise AI market was valued at $23.95 billion in 2024 and is expected to grow at a compound annual growth rate (CAGR) of 37.6% from 2025 to 2030. However, in India, AI adoption is still maturing. According to Krishna Vij from TeamLease Digital, a talent gap of nearly 50% persists. While India has around 4.2 lakh AI professionals, the estimated need is closer to six lakh. Competition from China Despite restrictions on AI chip exports from the US, China has become the second-largest producer of AI models across text, image, video, and audio domains. As of early 2024, 36% of the 1,328 large language models (LLMs) globally originated in China, second only to the US. In a further push, the Chinese government and private investors have launched a new AI fund worth 60 billion yuan (approximately $8.2 billion).Major developments include: Alibaba's Qwen Series, DeepSeek's R1, Tencent's Hunyuan Turbo S and Manus AI. Manus AI, which has made notable strides toward AI autonomy, can execute complex multi-step workflows and access reliable data via APIs. It has achieved state-of-the-art (SOTA) performance across three difficulty levels. While the US continues to lead AI model development—producing 40 significant models in 2024—China is rapidly closing the gap. The latest Artificial Intelligence Index Report signals a transformative shift in the global AI landscape, as China accelerates its capabilities and investments.
Time of India
11-05-2025
- Business
- Time of India
OpenAI leads surge in business AI adoption, Ramp AI Index reveals
OpenAI is at the forefront of enterprise AI adoption , topping the Ramp AI Index by acquiring customers faster than any other provider on American fintech company Ramp's platform. Chinese AI company Manus AI follows closely in second place. #Operation Sindoor India responds to Pak's ceasefire violation; All that happened India-Pakistan ceasefire reactions: Who said what Punjab's hopes for normalcy dimmed by fresh violations The Ramp AI Index, which tracks real corporate spending on AI tools and services from over 30,000 US businesses, highlights a significant uptick in enterprise AI usage. The data is compiled monthly using actual transactions from Ramp's corporate card and bill payment platform, offering a tangible measurement of how businesses are embracing artificial intelligence. by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like 9 years ago - Most beautiful twins. Their appearance today will shock you Novelodge Undo While foundational model providers continue to dominate, the report shows a notable rise in the adoption of specialised AI tools tailored to specific enterprise needs. Specialised AI: The next big game Live Events One standout example is Turbopuffer, an internal data search engine that leverages vector search to handle billions of entries efficiently. Its speed and precision make it popular among technical teams seeking scalable AI infrastructure. Discover the stories of your interest Blockchain 5 Stories Cyber-safety 7 Stories Fintech 9 Stories E-comm 9 Stories ML 8 Stories Edtech 6 Stories Other rapidly growing AI vendors include: Jasper, which provides AI-powered writing tools for marketers. Deepgram, a speech recognition platform for voice transcription. Snowflake, whose Cortex suite enables businesses to integrate large language models and semantic functions directly into SQL workflows, empowering data teams without requiring system overhauls. Enterprise adoption accelerates ET had earlier reported that larger companies—with annual revenues of at least $500 million—are adopting AI more quickly than smaller organisations. Ramp's latest data supports this trend and further reveals that smaller, specialised AI vendors are seeing impressive gains. Several new entrants climbed into the top ranks for AI-related spending in May, underscoring a shift beyond the dominance of big foundational model providers. By new customer count, OpenAI, Cursor, Canva, LinkedIn and GoDaddy lead the charts whereas Maxon Computer, JasperAI and are next in line after Manus AI in terms of largest percentage change in customer count. A recent survey found that one in three tech professionals in India is currently undergoing formal AI training via their employers—highlighting the growing demand for AI-related skills. Ramp also noted that actual AI adoption may be higher than reported, as many businesses use free tools or rely on employees' personal accounts—factors not captured in transaction-based data. Global AI market outlook The global enterprise AI market was valued at $23.95 billion in 2024 and is expected to grow at a compound annual growth rate (CAGR) of 37.6% from 2025 to 2030. However, in India, AI adoption is still maturing. According to Krishna Vij from TeamLease Digital , a talent gap of nearly 50% persists. While India has around 4.2 lakh AI professionals, the estimated need is closer to six lakh. Competition from China Despite restrictions on AI chip exports from the US, China has become the second-largest producer of AI models across text, image, video, and audio domains. As of early 2024, 36% of the 1,328 large language models (LLMs) globally originated in China, second only to the US. In a further push, the Chinese government and private investors have launched a new AI fund worth 60 billion yuan (approximately $8.2 billion). Major developments include: Alibaba's Qwen Series, DeepSeek's R1, Tencent's Hunyuan Turbo S and Manus AI. Manus AI , which has made notable strides toward AI autonomy, can execute complex multi-step workflows and access reliable data via APIs. It has achieved state-of-the-art (SOTA) performance across three difficulty levels. While the US continues to lead AI model development—producing 40 significant models in 2024—China is rapidly closing the gap. The latest Artificial Intelligence Index Report signals a transformative shift in the global AI landscape, as China accelerates its capabilities and investments.
Yahoo
10-05-2025
- Business
- Yahoo
The US is reviewing Benchmark's investment into Chinese AI startup Manus
Manus AI is one of the hottest AI agent startups around, recently raising $75 million at a half-billion-dollar valuation in a round led by Benchmark. But two unnamed sources told Semafor that the investment is now under review by the U.S. Treasury Department over its compliance with 2023 restrictions on investing in Chinese companies. Benchmark's lawyers cleared the investment because Manus isn't technically developing its own AI models, but is instead a 'wrapper' around existing ones, Semafor reported. Those lawyers also concluded Manus is not China-based since it's incorporated in the Cayman Islands. (That's a common structure used by Chinese companies, like Alibaba, to access foreign capital.) Benchmark has attracted criticism for its Manus investment from Founders Fund partner Delian Asparouhov, who posted on X 'wow, actions have consequences?'. Benchmark, Manus, and Treasury didn't immediately respond to requests for comment. This article originally appeared on TechCrunch at Sign in to access your portfolio
