Oxlint beta released!#
#Eslint #Oxlint
Preloading is a technique designed to improve web performance by loading resources that users may need in advance to speed up page loading times.#
However, research by DebugBear shows that preloading can sometimes slow down web page loading speeds. Theoretically, the priority of preloaded requests is set to the lowest, so they do not compete for bandwidth with resources needed by the current page, but actual tests have found that preloaded requests often start early in the page loading process, competing for bandwidth with the main content, leading to delays in loading critical resources.
Experiments show that preloaded JavaScript files often finish loading earlier than main content images, which contradicts the original intention of preloading. Additionally, since preloaded files come from the same domain as the HTML document, while images may require new server connections, preloading has a certain advantage in actual loading speeds.
DebugBear found through experiments that disabling preloading improved the 75th percentile Largest Contentful Paint (LCP) score of the page by 100 milliseconds, but in the 90th and 95th percentile test results, the performance difference between preloaded and non-preloaded was not significant. When investigating websites that use preloading technology, DebugBear found it difficult to find websites that only preloaded during network idle times; many websites began preloading requests within less than a second after the page opened, which contradicts the "low priority" design of preloading.
To avoid preloading slowing down the website, it is recommended not to add preload hints in the initial page HTML or HTTP headers, but instead to dynamically insert preload tags via JavaScript after the page has finished loading. Although preloaded resources are often loaded early in the page loading process and may compete for bandwidth with the main content, due to the complexity of modern network environments, this competition usually has a negligible impact on page speed. Firefox performs better with preloading, waiting until the page has finished loading before starting preload requests.
#Performance
Resource Prefetching May Slow Down Your Website | DebugBear
Amazon plans to invest over $100 billion by 2025, a figure higher than any other company. It did not conduct stock buybacks or distribute dividends in fiscal year 2024, instead reinvesting all funds to drive innovation and future growth.#
Amazon CEO Andy Jassy believes AI is the biggest opportunity in decades, expecting that nearly all existing applications will be reinvented with built-in AI, and that AI inference will become a core building block like computing, storage, and databases.
In the fourth quarter of 2024, Amazon's revenue grew 10% year-over-year to $188 billion, exceeding expectations by $600 million. Among them, AWS revenue grew 19% year-over-year, maintaining this growth rate for the third consecutive quarter, but supply chain and power constraints are slowing potential growth, and management expects these constraints to ease in the second half of 2025. Advertising revenue grew 18% year-over-year to $17.3 billion, gaining market share from Google Search and YouTube. In e-commerce, although consumers are shopping more cautiously, leading to lower average selling prices, the number of goods sold has increased, with online store revenue growing 8% year-over-year and third-party seller service revenue growing 9%.
Amazon's revenue expectation for the first quarter of 2025 is between $153 billion and $155.5 billion, below the market expectation of $158 billion, mainly due to a $2.1 billion foreign exchange headwind and a $1.5 billion impact from leap year effects. Nevertheless, Amazon's long-term strategy regarding AI remains a focus, with Andy Jassy emphasizing that custom silicon chips (such as Trainium 2 and future iterations) are its competitive advantage, capable of reducing costs and improving AI efficiency.
In the AI technology stack, AWS holds a 30% market share in the cloud infrastructure market, higher than Microsoft Azure's 21% and Google Cloud's 12%. AWS's operating profit margin increased to 37%, with 2 percentage points attributed to accounting adjustments for extended server lifetimes. AWS has laid out plans across all three levels of the AI technology stack—Infrastructure, Model, and Application layers.
At the infrastructure level, Amazon has increased its investment in AI infrastructure, launching the Trainium 2 chip, which offers 30% to 40% better price-performance than comparable GPU instances. Amazon also maintains a deep partnership with NVIDIA while reducing AI costs through its internal silicon chip strategy. Additionally, Amazon has collaborated with Anthropic to create a large AI cluster called Project Rainier, which includes hundreds of thousands of Trainium 2 chips, with Trainium 3 also in development and expected to launch a preview by the end of 2025.
At the model layer, Bedrock is Amazon's LLM-as-a-service platform, providing customers with various foundational models from third-party vendors and Amazon itself. SageMaker AI is another successful service in this field. Amazon has also launched its own model family, Nova, which has lower latency and costs 75% less than other models in Bedrock, attracting well-known clients such as Palantir, Deloitte, and SAP. Bedrock has also introduced cost-saving features to reduce the costs of AI adoption.
At the application layer, Amazon is building AI-driven applications to enhance business productivity and user engagement. For example, Amazon Q is a generative AI assistant similar to GitHub Copilot for software development; Rufus is an AI-driven shopping assistant aimed at enhancing product discovery and customer engagement; Alexa is also undergoing redevelopment based on foundational models to enable more complex AI-driven interactions.
Additionally, the advertising business has become a key growth area for Amazon. Sponsored product ads have performed well, and with the launch of new streaming services like Prime Video ads, advertising revenue continues to grow. Prime Video transitioned to an ad-supported model in the first quarter of 2024, unless users pay $2.99 per month for an ad-free option. According to Nielsen, Prime Video accounted for 4.0% of U.S. TV viewing time in December 2024, nearly half of Netflix's market share in the U.S. Although Prime Video's user engagement is lower than Netflix's, its large user base still gives it a significant position in the streaming space. Amazon's multi-purpose membership program effectively reduces user churn and provides precise user data for its advertising business, enabling it to offer high-return CTV ads.
In the e-commerce sector, Amazon faces competition from Shein and Temu. The de minimis tax exemption in U.S. tariff policy allows imported goods valued under $800 to be exempt from tariffs, benefiting Chinese e-commerce giants like Shein and Temu. In 2023, the U.S. imported $55 billion worth of goods under this provision, most of which came from China. Although the Trump administration briefly eliminated this exemption, it was later restored, causing confusion for e-commerce retailers. Shein and Temu are working to diversify, but the impact remains uncertain. Amazon is launching Amazon Haul in the fall of 2024 to counter the challenges posed by Shein and Temu, offering products priced under $20, but with longer delivery times. If the de minimis exemption is removed, Amazon's logistics advantages will help it surpass competitors in fulfillment and reliability.
#Investment
☁️ Amazon: Outspending Everyone
CrowdStrike's stock recently reached an all-time high after experiencing an IT outage in July 2024, with its valuation briefly surpassing $110 billion. Its Q4 FY2025 performance was strong, with revenue growing 25% year-over-year to $1.059 billion, exceeding expectations by $20 million.#
Subscription revenue grew 27% year-over-year to $1.008 billion; professional services revenue grew 2% year-over-year to $50 million. However, the stock price fell after the latest quarterly performance release due to guidance for the first quarter and full year of the next fiscal year not meeting market expectations.
CrowdStrike's annual recurring revenue (ARR) grew 23% year-over-year to $4.24 billion, primarily driven by strong customer adoption rates. Despite the points and discounts offered to customers due to the IT outage, resulting in a dollar-based net retention rate (DBNR) of 112%, below the expected 120% for FY2025, the company's gross retention rate remains at 97%, indicating that customers have not significantly churned due to the IT incident. Additionally, new customers are starting with an average of nearly five modules, with 21% of customers using eight or more modules in Q4 FY2025, showing continued investment in the platform.
Despite the impact of the IT outage, CrowdStrike maintains its leadership position in the cybersecurity field. In July 2024, Gartner named it a leader in endpoint protection platforms, surpassing competitors like Microsoft. Furthermore, its Falcon Next-Gen SIEM, Falcon for IT, Falcon Data Protection, and Falcon Exposure Management have received FedRAMP certification, further expanding its federal market coverage. As of September 2024, 96% of customers recommend CrowdStrike for managed detection and response services, and it was named a leader in managed detection and response services by Forrester in Q1 FY2025.
CrowdStrike is working to build a "security cloud" and plans to return to GAAP profitability in Q1 FY2026, expecting its adjusted operating margin to expand to 23% by FY2027. The company's management is optimistic about re-accelerating net new ARR growth in the second half of FY2026 and has reiterated its goal of achieving $10 billion ARR by FY2031. Despite the current high valuation, its long-term growth potential and market position continue to attract investor interest.
#Investment
FiberHome 5G CPE Air teardown review.#
A detailed review, but don't buy the broadcasting card, it's really not worth it.
#Review
FiberHome 5G CPE Air teardown review
Developers' experiences and opinions on Claude Code, an AI programming tool developed by Anthropic, have sparked in-depth discussions about the role of AI in software development.#
Many developers report that Claude Code excels at handling simple yet tedious tasks, such as generating boilerplate code, performing small-scale code refactoring, or writing command scripts. These tasks typically take some time, but can be completed quickly by AI. For example, one developer mentioned that using Claude Code to complete a simple feature extension took only 3 minutes, while manual coding might take longer. However, for complex tasks, Claude Code's performance is not ideal. Some developers pointed out that AI-generated code is often overly complex and can introduce more issues when modified, requiring significant manual intervention to correct.
Despite AI's strong performance in certain areas, developers generally believe it cannot fully replace human programmers. AI is highly efficient at handling simple tasks, but its capabilities are clearly lacking when faced with complex logic, architectural design, or scenarios that require a deep understanding of business requirements. Many developers noted that AI lacks a deep understanding of the logic behind the code, often executing tasks based only on superficial instructions, rather than optimizing from an overall architecture and business needs perspective. Additionally, AI may introduce errors or unreasonable implementations when generating code, requiring developers to spend extra time debugging and correcting.
Some developers have attempted to integrate AI into their development processes, finding it can serve as an auxiliary tool to help quickly generate initial code or provide ideas. However, some developers worry that over-reliance on AI could lead to a decline in their own programming skills. For example, one developer mentioned that while code written using AI can quickly complete tasks, their understanding of it is limited, making subsequent maintenance and optimization difficult. Moreover, AI's output often requires rigorous review and testing to ensure it meets actual needs.
Cost issues also became a focal point in discussions. Some developers pointed out that using AI tools like Claude Code can incur high costs, especially when handling complex tasks, where costs can escalate quickly. For instance, one developer noted that using Claude Code for a simple feature extension cost $0.73, while using other tools (like Aider) only cost $0.07. This indicates that while AI tools can improve efficiency in certain cases, their costs need to be carefully weighed.
Although AI's application in software development currently has many limitations, developers generally believe it has enormous potential. With technological advancements, AI is expected to take on more complex tasks in the future and further enhance development efficiency. However, some developers worry that the rapid development of AI may lead to the disappearance of certain development positions, especially those focused on writing simple code. Nevertheless, most developers believe AI is more likely to become an assistant to developers rather than a replacement.
#AI #Claude #Discussion
I've been using Claude Code for a couple of days | Hacker News
Microsoft's official blog announced significant progress in TypeScript performance improvements, aiming for a 10x performance boost.#
The TypeScript team is developing a native version of the TypeScript compiler and tools, which will significantly speed up editor startup times, reduce most build times, and greatly decrease memory usage.
In terms of performance improvements, the native implementation has already been able to load many popular TypeScript projects, including the TypeScript compiler itself. For example, testing the VS Code codebase, the current version of tsc takes 77.8 seconds, while the native version only takes 7.5 seconds, a speed increase of 10.4 times; the Playwright codebase was reduced from 11.1 seconds to 1.1 seconds, a speed increase of 10.1 times; the TypeORM codebase was reduced from 17.5 seconds to 1.3 seconds, a speed increase of 13.5 times. This performance improvement benefits not only large projects but also small ones.
In terms of editor performance, the native language service will significantly enhance the speed of loading large projects. For example, in VS Code, loading the entire project currently takes 9.6 seconds, while the native language service only takes 1.2 seconds, reducing project loading time by 8 times. Additionally, memory usage has also been cut by about half, with further optimization potential in the future.
Regarding version planning, TypeScript 5.8 has been released, and 5.9 is on the way. JavaScript-based codebases will continue to evolve into the 6.x series, with TypeScript 6.0 introducing some deprecations and breaking changes to align with the native codebase. Once the native codebase achieves sufficient consistency with the current TypeScript, it will be released as TypeScript 7.0. The team will regularly release stability and feature milestones during development.
Microsoft also plans to introduce new compiler APIs and language server protocols (LSP) in the native version to better align with other languages. The team has made the relevant code available on GitHub and published a FAQ. Additionally, Microsoft will hold a Q&A event on March 13 in the TypeScript community Discord, where developers can participate in discussions.
This performance improvement will bring significant changes to TypeScript and JavaScript development, enabling instant, comprehensive error lists and supporting more advanced refactoring and deep code analysis, providing stronger support for future AI tools.
#TypeScript #Performance
A 10x Faster TypeScript - TypeScript
fastplotlib is a next-generation fast plotting library based on WGPU and pygfx rendering engines, focusing on GPU-accelerated scientific visualization.#
It supports multiple frameworks, including JupyterLab, PyQt, PySide, and glfw, and can run on mainstream platforms such as Linux, Windows, and macOS. fastplotlib provides interactive visualization capabilities and can quickly handle large-scale data, suitable for machine learning model development, real-time data acquisition systems, and visualization of scientific instruments.
#Tools #Visualization #GPU
OpenAI announced a series of new tools to help developers and businesses build practical and reliable intelligent agents.#
These tools include Responses API, built-in tools (such as web search, file search, and computer usage), Agents SDK, and integrated observability tools to track and inspect the execution of intelligent agent workflows. These new tools simplify the core logic, orchestration, and interaction of intelligent agents, enabling developers to more easily start building intelligent agents.
Responses API is a new API primitive launched by OpenAI for building intelligent agents, combining the simplicity of the Chat Completions API with the tool usage capabilities of the Assistants API. This API supports various built-in tools, such as web search, file search, and computer usage, and provides a unified project-based interface design, simpler polymorphism, intuitive streaming events, and SDK helper tools like response.output_text, making it easy for developers to obtain the model's text output. Responses API aims to provide developers with a more flexible foundation to integrate OpenAI models and built-in tools into applications without complex integration of multiple APIs or external vendors. This API is now open to all developers at no additional charge, with token and tool costs billed at standard rates according to OpenAI's pricing page.
For existing APIs, the Chat Completions API remains one of OpenAI's most popular APIs, and OpenAI will continue to provide new models and feature support for it. However, Responses API is a superset of Chat Completions, offering the same performance, so it is recommended to prioritize using Responses API for new integration projects. The Assistants API has been improved based on developer feedback, and its functionality will gradually align completely with Responses API, including support for objects like Assistant and Thread and code interpreter tools. Once these improvements are completed, OpenAI plans to officially announce the deprecation of Assistants API in mid-2026 and provide clear migration guidelines to help developers transition existing applications to Responses API.
In terms of built-in tools, the web search tool allows developers to quickly obtain fast, up-to-date, and relevant answers from the web, providing clear citation sources. In Responses API, the web search tool supports gpt-4o and gpt-4o-mini models and can be combined with other tools or function calls. For example, Hebbia uses the web search tool to help asset management firms, private equity and credit companies, and law firms quickly extract actionable insights from large public and private datasets. The file search tool allows developers to retrieve relevant information from a large number of documents, supporting various file types, query optimization, metadata filtering, and custom sorting, providing quick and accurate search results. Navan uses the file search tool in its AI-driven travel agent to quickly provide users with precise answers from knowledge base articles. The computer usage tool is based on OpenAI's Computer Usage Agent (CUA) model, capable of capturing mouse and keyboard actions generated by the model, directly converting these actions into executable commands for automating computer tasks. For example, Unify uses this tool to enable agents to access information that was previously unavailable through APIs, while Luminai uses this tool to automate complex operational workflows for large enterprise legacy systems lacking API availability and standardized data.
Agents SDK is an open-source toolkit designed to simplify the orchestration of multi-agent workflows. Compared to the Swarm SDK released last year, Agents SDK has undergone several improvements, including easily configurable LLMs, control transfer between intelligent agents, configurable security checks, and visual tracking of intelligent agent execution to debug and optimize performance. Coinbase quickly prototyped and deployed the AgentKit toolkit using Agents SDK, enabling AI agents to seamlessly interact with crypto wallets and various on-chain activities. Box also quickly created intelligent agents that leverage web search and Agents SDK, allowing enterprises to search, query, and extract insights from both Box's internal and public internet sources while adhering to internal permissions and security policies.
#OpenAI #AI
Open UI is a project established by the W3C community to enable web developers to style and extend built-in web UI components and controls, such as dropdown menus, checkboxes, radio buttons, and date/color pickers.#
To achieve this goal, Open UI will comprehensively specify the components, states, and behaviors of built-in controls, while clarifying necessary accessibility requirements and providing test suites to ensure compatibility. Additionally, Open UI will implement multi-browser compatible polyfills for extensible web UI controls.
Currently, component frameworks and design systems often reinvent common web UI controls to allow designers to have complete control over their appearance and behavior. Open UI aims to reduce the need to reinvent built-in UI controls through its specifications and test suites, but for design systems that choose to do so, Open UI's specifications and test suites will also benefit them. In the long term, Open UI hopes to establish a standard process for developing high-quality UI controls, making them suitable for addition to the web platform.
#Frontend
ExcellentExport.js: A JavaScript library for exporting HTML table data to Excel or CSV format.#
It supports data export directly on the client side without server-side support, with good compatibility across mainstream browsers such as Firefox, Chrome, and Internet Explorer 11+.
#Tools
Heat.js: A heatmap visualization library.#
#Tools
Running a ping pong game in 240 browser tabs, quite impressive, you can watch the video directly.#
https://eieio.games/images/running-pong-in-240-browser-tabs/gameplay.mp4
#JavaScript #Creative
Running Pong in 240 Browser Tabs · eieio.games
Interop 2025 has officially launched, marking the fourth year of collaboration between the WebKit team and browser vendors such as Bocoup, Igalia, Google, Microsoft, and Mozilla, aimed at enhancing cross-browser compatibility and providing developers and users with a more reliable and user-friendly web experience.#
The 2024 Interop project achieved significant results, with Safari 18.2 passing 98% of tests, and the Safari Technology Preview achieving a pass rate of 99%, resulting in an overall interoperability rate of 97%, a historic high. This means that long-standing features such as accessibility, custom properties, font-size-adjust, IndexedDB, URL, scrollbar styles, and text direction perform consistently across browsers, while new features like CSS nesting, declarative shadow DOM, popover, relative color syntax, and text-wrap: balance also exhibit good interoperability from the outset.
Interop 2025 focuses on promoting the widespread adoption of web standards, ensuring developers can build cutting-edge websites. Safari has already implemented many standards in Interop 2025, such as view transitions introduced in Safari 18.0 and 18.2, and the @scope rule launched in Safari 17.4. This year's project will conduct automated testing across 19 focus areas, including anchor positioning, backdrop-filter, core web vitals, elements, layout (Flexbox and Grid), modules (JSON and import attributes), navigation API, pointer and mouse events, removal of mutation events, @scope, scrollend events, storage access API, text decoration, URLPattern, view transitions, WebAssembly, web compatibility, WebRTC, and writing modes.
Additionally, Interop 2025 includes five survey projects aimed at assessing the current state of testing infrastructure and addressing issues that hinder progress. For example, the accessibility survey will create more tests, the WebVTT survey will improve the synchronization of video subtitles, and the privacy survey will develop automated tests for privacy-related features to enhance interoperability in privacy protection.
Through ongoing collaboration within the browser community and contributions from developers worldwide, Interop 2025 will ensure the web remains a robust and user-friendly platform, laying the foundation for future development.
#Browser #Safari
The use of weak references in JavaScript and the abstraction capabilities they bring.#
J Longster explores the use of weak references in JavaScript and the abstraction capabilities they provide, particularly through the WeakMap and WeakRef APIs.
#JavaScript
Subverting control with weak references
PDFSlick is a tool for viewing and interacting with PDF documents in React, SolidJS, Svelte, and JavaScript applications. It is built on Mozilla's PDF.js and utilizes Zustand for responsive storage of loaded documents.#
#Tools
How artificial intelligence (AI) is permanently changing the way innovation occurs.#
David Henkin discusses how artificial intelligence (AI) is permanently changing the way innovation occurs. AI is not just another tool in the innovation toolbox; it fundamentally rewrites the rules of innovation, transforming the entire process from ideation, development, to deployment of new ideas.
In terms of innovation, AI, and data, data is crucial for driving meaningful innovation, but many individuals and organizations struggle to effectively leverage vast amounts of data. AI can help people identify patterns and trends in data, driving smarter innovation. For example, some ports are testing AI technologies to drive innovation, from addressing port disruptions to creating digital versions of autonomous vessel services, leveraging machine learning and data collection to enhance future efficiency.
In terms of shifts in investment strategies, the rise of AI has prompted many companies and countries to shift their innovation focus towards artificial intelligence. Gulf oil-producing countries such as the UAE, Saudi Arabia, and Qatar are investing heavily in AI-related technology development, with the UAE being the first to launch a national AI strategy back in 2017 and becoming the first country to establish a ministry of artificial intelligence. From a technological perspective, AI is seen as the most important driver of innovation, with most future innovations and developments closely tied to AI.
In terms of rapidly testing ideas, AI can help people quickly prototype ideas. Arizona State University's AI Cloud Innovation Center reports that since its inception, 80% of its projects have utilized AI-driven rapid prototyping, reducing project completion cycles from 6 to 8 months down to 4 to 6 weeks. Additionally, predictive modeling through AI algorithms is reshaping innovation efforts, using data to forecast potential trends and outcomes of specific decisions, thereby testing multiple possible solutions more effectively and driving better innovation outcomes.
In terms of creative generation, generative design plays a significant role in the project ideation and drafting phases, providing a foundation for subsequent creativity and innovation. For example, Toyota Japan utilized generative AI to redesign seat frames, enhancing safety and comfort while meeting size and weight parameters; game developer Capcom used AI to generate visual concepts and proposals for in-game objects, accelerating game development; an analysis by Harvard Business Review noted that generative AI can challenge expertise biases, inspiring designers to break traditional notions of product form and function, thus creating solutions that humans might not conceive through traditional methods.
From a long-term perspective, the most profound impact of AI on innovation is the change in people's perception of possibilities. When one can explore a vast solution space quickly and at low cost, simulate and test ideas with unparalleled precision, and collaborate with AI systems that amplify human creativity, the potential for innovation enters a new era. Those who thrive in this new era are not merely those who adopt AI tools, but those who reimagine the entire approach to innovation; the future belongs to those who can effectively combine human creativity and judgment with AI's computational power and pattern recognition capabilities. The landscape of innovation has been permanently altered; the question is not whether to embrace AI-driven innovation, but how to adapt quickly and effectively to this new reality.
#AI #Innovation
How AI Has Forever Altered Innovation
Fourth edition of the generative artificial intelligence (Gen AI) consumer application ranking report. The report lists the top 50 AI-first web products (by monthly unique visitors) and the top 50 AI-first mobile applications (by monthly active users) based on Similarweb data.#
Growth of ChatGPT:
ChatGPT became the fastest-growing consumer application in history after its research preview launch in November 2022, reaching 100 million users in just two months. However, its global monthly visits stagnated between March 2023 and April 2024. Subsequently, as OpenAI continuously introduced more advanced models and features, ChatGPT's usage surged again. From 100 million weekly active users in November 2023, it grew to 200 million in August 2024, and reached 400 million by mid-February 2025. Key growth milestones coincided with product milestones, such as the launch of GPT-4o multimodal capabilities in April-May 2024, advanced voice mode in July-August, and the o1 model series in September-October.
Rise of DeepSeek:
DeepSeek launched its public chatbot on January 20, 2025, quickly ranking second in the monthly rankings of all AI products within just 10 days. Its developer is the Chinese hedge fund High-Flyer, with 21% of January's traffic coming from China (where ChatGPT is banned). DeepSeek's growth rate surpassed that of most general-purpose assistant LLMs, reaching 10 million users in just 20 days, exceeding ChatGPT's 40-day milestone. On mobile, DeepSeek launched on January 25 and climbed to 14th place in monthly active user rankings within 5 days, further rising to 2nd place in February, capturing 15% of ChatGPT's mobile user base.
Breakthroughs in AI video:
For the past 18 months, AI video has been on the edge of usability, but significant progress has been made in the last six months. Three new companies, Hailuo (ranked 12th), Kling AI (ranked 17th), and Sora (ranked 23rd), have entered the web rankings for the first time. AI video model providers are beginning to differentiate themselves, each offering unique output styles and user interfaces, providing creators with more specialized options. For instance, Sora is a versatile video generator, Hailuo excels in strong prompt adherence, while Kling offers additional features like camera motion control and lip-syncing.
Rise of development tools:
In the past six months, two types of development tools have rapidly emerged. One type is developer-facing agent IDEs (like Cursor, ranked 41st), which serve as auxiliary tools for developers, featuring error checking, auto-completion, and code generation capabilities. The other type is text-to-web application platforms aimed at both technical and non-technical users (referred to as "vibecoders"), allowing users to generate usable websites or web applications simply by entering text prompts. Leaders in this field have seen rapid growth, such as Bolt (ranked 48th), which achieved $20 million in annualized revenue and 2 million registered users within the first two months of launch, while Lovable reached $17 million in annualized revenue within three months.
Discrepancies in mobile app usage and revenue:
The report notes that the popularity of mobile applications does not necessarily correlate with revenue. Many apps, despite having fewer users, achieve higher conversion rates and per-user revenue through mobile subscriptions. Among the top 50 mobile applications, only 40% ranked in both monthly active user count and revenue. Some product categories appear in both lists, but the companies listed differ. For example, in the video editing category, the top three in usage are VivaCut (ranked 15th), Filmora (ranked 19th), and Beat.ly (ranked 36th), while the top three in revenue are Splice, Captions, and Videoleap.
#Report
The Top 100 Gen AI Consumer Apps - 4th Edition | Andreessen Horowitz
Proactivity is more powerful and scarcer than intelligence.#
Andrej Karpathy argues that due to cultural overemphasis on intelligence, the influence of entertainment media, and obsession with IQ, there has been a long-standing misunderstanding of this perspective. In reality, proactivity is more powerful and scarcer than intelligence.
Proactivity, as a personality trait, refers to a person's ability to take initiative, make decisions, and control their own actions and environment. It emphasizes taking action rather than reacting passively; highly proactive individuals do not let life dictate their course but actively shape it. For instance, they set goals and pursue them confidently, saying "I'll find a way to solve this" even in the face of difficulties, and actually do so. In contrast, individuals with lower proactivity are more like passengers in their own lives, waiting for external forces (such as luck, others, or circumstances) to determine their next steps.
Proactivity is related to confidence, determination, and a sense of control over one's path; it differs from confidence or ambition, being a more introspective trait that involves believing in one's ability to act and being willing to put it into practice. Psychologists often associate it with the concept of "locus of control": highly proactive individuals tend to have an internal locus of control, believing they can shape their destiny; while less proactive individuals tend to have an external locus of control, feeling that life happens to them.
#Perspective #Thoughts
Andrej Karpathy on Twitter / X
Composio MCP Server provides a solution that integrates multiple tools and platforms, helping users quickly connect to over 100 hosted MCP servers and achieve seamless scaling through built-in authentication.#
The platform emphasizes "all tools integrated in one place," making it convenient for users to manage and use various tools in a one-stop manner.
#Tools
Internationalization design guidelines#
#i18n
Blog - Internationalization design guidelines
Posting is a modern terminal-based API client, similar to Postman and Insomnia, but designed specifically for terminal environments.#
#Tools
Mark Dent discusses the ineffectiveness of layoffs as a corporate management tool and their negative impact on companies and employees.#
Mark Dent points out that while layoffs are widely used, they actually undermine company culture, lower employee morale, damage company reputation, and may even negatively impact the company's long-term financial performance.
Mark reviews the historical context of layoffs, mentioning that in the mid-20th century, American companies generally adopted a capitalism model balancing profits and employee welfare, making large-scale layoffs relatively rare. However, starting in the 1980s, as economic recessions hit, companies began to shift towards a shareholder value-oriented management model, making layoffs a common cost-cutting measure. Mark mentions "Neutron Jack" and "Chainsaw Al," two entrepreneurs known for large-scale layoffs, who achieved short-term profit growth through layoffs, a model emulated by many companies.
Mark analyzes the negative impacts of layoffs in detail. First, regarding company financial performance, studies show that companies that lay off employees do not perform better than those with stable employment in the long term, and may even perform worse. Layoffs can lead to short-term and long-term issues, including stagnant or declining stock prices, decreased profitability within three years, and a doubled risk of bankruptcy. Second, layoffs are destructive to company culture, weakening employee trust in the company, leading to decreased morale and accelerated burnout among remaining employees, and may even result in more voluntary departures. Additionally, layoffs can damage the company's reputation among potential employees, reducing recruitment attractiveness. For employees, layoffs severely impact the psychological and economic well-being of those laid off, with studies showing an increase in suicide rates among laid-off employees.
Nevertheless, Mark also mentions alternatives to layoffs. For instance, companies can reduce costs by cutting work hours or implementing unpaid leave, which can avoid the negative consequences of layoffs more effectively than direct layoffs. Additionally, companies can choose to delay investments and cut non-essential expenditures, as Southwest Airlines did after the 9/11 incident by cutting budgets for new aircraft purchases and headquarters renovations instead of laying off employees.
Mark also points out exceptions to layoffs. If layoffs are part of a broader strategic adjustment rather than merely cost-cutting, their effects may be more favorable. In the tech industry, some companies have chosen layoffs during the pandemic due to over-hiring or facing potential crises, in which case layoffs may be seen as a preventive measure. However, overall, Mark believes that while layoffs may be considered a necessary management tool in certain situations, their long-term negative impacts usually outweigh short-term financial gains. Companies should use layoffs cautiously and consider other alternatives to better balance costs and employee welfare.
#Work
Presenterm allows users to create presentations using Markdown format and run them in the terminal.#
#Tools
