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AI agents are collapsing marketplace funnels, disrupting discovery, transactions, and retention. Founders must adapt with agent integration, supply-side control, and a shift to first-purchase economics.
Max MRR shows the highest monthly revenue a SaaS business can sustain, based on churn and new customer growth. It's a leading, actionable metric that guides teams to fix churn before investing in more acquisition and highlights when retention, not market size, limits growth.
“Source of truth” issues in product development are rarely about truth itself. They stem from misaligned definitions, competing incentives, and resistance to embracing the complexity inherent in real product work.
AI adoption often stalls due to fear, confusion, and lack of involvement, not technical limitations. Leaders must treat it as change management: acknowledge emotions, share transparently, and co-create solutions with teams.
Top-performing companies avoid direct comparisons by redefining the game - positioning competitors in narrow roles while claiming broader missions. The key: use simple, truthful analogies that elevate your product into its own category.
AI answer engines like ChatGPT and Google are reshaping B2B discovery, replacing search with direct recommendations. To stay visible, brands must optimize for AI prompts with specific content, Reddit mentions, structured comparisons, and influence, not just clicks.
Social media has turned attention into power, making virality the new path to influence. Today's leaders are often chosen not for competence, but for performance - rewarded for being unhinged, not steady - and the same machine that drives stardom is now shaping the future of politics, tech, and business.
Founder-led companies thrive on unshakable optimism, risk-taking, and relentless execution. Their fearlessness, curiosity, and conviction attract top talent and drive progress - even through uncertainty - offering lessons any leader can adopt.
AI is no longer just a tool - it's an organization.
Moats aren't built by feature count, but by deep, essential usage.
`useCallback` and `useMemo` are often misused, leading to unnecessary complexity and overhead without actual performance gains. This article goes over scenarios where memoization is pointless, such as when passing props to non-memoized components or using props directly as dependencies within `useCallback` or `useEffect`. A real-world example is shown from the Sentry codebase to illustrate how seemingly memoized values can be invalidated by non-memoized dependencies.
SVG is an image format with XML syntax that allows for dynamic manipulation with CSS and JavaScript. It offers UI primitives like circles, rectangles, and polygons, and their attributes can be styled and animated. This post explains presentational attributes like `stroke` and `stroke-dashoffset`, which are useful for creating animated effects like drawing shapes. A key concept explained is the `viewBox` attribute, which creates an internal coordinate system that allows SVGs to scale properly and remain responsive, solving the problem of fixed positioning that occurs when using absolute coordinates.
It's possible to add ".md" URLs to a Next.js blog to serve raw markdown content. This solution uses Next.js rewrites for efficient URL mapping, directing requests for ".md" files to a dedicated API route. The API route then retrieves the raw markdown content from Content Collections and returns it with appropriate headers, including caching instructions.
Building production-ready AI agents requires clear and detailed system prompts, strategic context management to avoid overwhelming the model, and carefully designed tools with straightforward interfaces. Robust feedback loops using domain-specific validation are also required to catch errors. LLM-driven error analysis is useful to identify system blind spots.
Software engineers often mistakenly prioritize uninterrupted coding time over other important aspects of their job, like collaboration and communication. An engineer's primary responsibility is creating impact and delivering value, not solely writing code. The most valuable work often happens outside the IDE, such as participating in meetings, writing documentation, and helping teammates.
FlowGram is a node-based flow building engine for creating workflows with fixed or free layout modes. It is best for visual workflows with clear inputs and outputs, and it aims to integrate AI capabilities.
GitMCP is an open-source Model Context Protocol (MCP) server designed to eliminate code hallucinations in AI tools by providing them with access to up-to-date documentation and code from GitHub projects. It supports both specific repository and generic server access, allowing AI assistants like Cursor to fetch relevant information.
Since adopting Go in 2016, American Express has learned multiple lessons that shaped its successful enterprise implementation. It created standardized frameworks and toolkits to support non-functional requirements, used Go's built-in performance tools, and successfully integrated with its observability stack. The company also spent time training internal engineers, leading to nearly a thousand engineers forming a thriving internal Go community.
PyroWave is a fast, low-latency video codec designed for local game streaming. This codec focuses on simplicity, removing motion prediction and entropy coding for speed and error resilience, using intra-only compression and discrete wavelet transforms. Benchmarks show faster encoding and decoding speeds compared to standard codecs like H.264/HEVC/AV1 under similar constrained conditions.
Anthropic is introducing weekly rate limits effective August 28 for Claude subscribers that will affect less than 5% of users to address unusual usage.
Things like indiscriminate dependency usage, premature framework adoption, and complex compilation steps maximize the time and energy required to build a website.
Google gives Chrome an advantage by displaying "Sign in with Google" prompts differently than other browsers, allowing them to be disabled in Chrome's settings while bypassing extension-based blocking methods.
A large frontend performance checklist for 2025 with actionable strategies for devs to optimize website speed and efficiency across various areas, including HTML, CSS, JavaScript, image handling, videos, fonts, hosting, and quick performance wins.
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AI has evolved—from rule-based systems to generative models to agentic AI, where autonomous agents act with memory and context. But without orchestration, enterprises risk complexity, chaos, and failure to scale.
Neuralink is collaborating with researchers in California and Spain on a clinical trial to study visual prosthetics. The study, sponsored by the University of California at Santa Barbara, aims to address the fundamental questions that will allow the development of a Smart Bionic Eye. Such a device would use AI to help blind people identify faces, navigate the outdoors, and read, among other things. The study's description says that researchers will use Neuralink patients 'once available'. Neuralink is developing a brainchip called Blindsight that aims to restore vision to blind people and grant superhuman vision.
Shengjia Zhao, a former lead scientist at OpenAI, has joined Meta as chief scientist at the company's newly established Superintelligence Lab. Zhao, a co-creator of ChatGPT and GPT-4, will be tasked with setting the research agenda and scientific direction for the new lab. He will work directly with Mark Zuckerberg and Alexandr Wang to steer Meta's research efforts towards artificial general intelligence. Industry observers see Zhao's hiring as a significant move in the escalating AI talent war.
Unitree Robotics's R1 bot has a starting price of 39,900 yuan, or around $5,900. Weighing just 25 kilograms, it has 26 joints and is equipped with multimodal artificial intelligence, including voice in image recognition. If it works as advertised, the new robot marks a milestone for the robotics industry. Chinese companies are pushing ahead with humanoids for factories, households, and even military use - pricing is crucial to their proliferation.
The US Food and Drug Administration has approved lenacapavir, a drug that offers 100% protection against HIV with twice-yearly injections. Sold under the brand name Yeztugo, lenacapavir is a capsid inhibitor. It stops the virus from entering cells and copying itself. Gilead has made moves to ensure the drug is affordable - eligible uninsured individuals will likely be able to access the drug free of cost through its Advancing Access medication assistance program.
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In this article, you'll learn how to create a team-ready B2B app using Lovable, Clerk, and Supabase. We'll teach you how to implement multi-tenancy in a React environment without manually handling JWT parsing or user scopes. Read our guide [10].
A crucial part of the process of improving a coding-capable AI model is evaluation (evals). Evals are structured tests or benchmarks used to measure model performance on specific tasks. They are analogous to unit tests or integration tests in software. This post explores what evals are, how they're constructed, what 'hill climbing' means in model development, and how all these pieces connect to the continuous training and improvement of coding models.
Modern CSS can provide seamless navigation without the need to build an app. New capabilities enable fading between pages, animating shared elements, maintaining persistent elements, and more, all with real URLs, real page loads, and without JavaScript routing hacks. This article discusses how. Most websites don't need to be apps - build a site like a site.
The estimated growth in energy required for AI is currently unsustainable. Several startups and companies are experimenting with new kinds of chips that have the potential to be much more energy efficient than current industry leaders at the all-important task of inference. While Nvidia chips will continue to be used for AI training for the foreseeable future, more efficient inference could collectively save companies tens of billions of dollars. The intensity of these chip development efforts shows how desperate the tech world is to provide AI to customers without paying the 'Nvidia tax'.
Elon Musk recently sat down for an interview at the X Takeover 2025 event held in San Mateo, California. During the interview, Musk spoke candidly about Tesla's Optimus robot, Neuralink's potential medical applications, and more, offering wide-ranging insights into his companies. Despite regulatory and logistical hurdles, Tesla's roadmap remains ambitious and far-reaching. A video of the interview is linked in the article.
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TLDR AI is your daily fix of LLMs, GenAI, and deep learning goodness. Same TLDR format. Still free.
Anthropic is looking to raise at least $3 billion and possibly as much as $5 billion.
Tesla CEO recently teased an expansion of Tesla's robotaxi service to the San Francisco Bay Area, but California regulators say the company is not authorized to carry passengers on public roads in autonomous vehicles.
Heredocs allows developers to add Markdown to bash scripts for inline documentation.
SandboxAQ will use Quantum AI to help Aramco transform captured carbon dioxide into valuable products such as advanced materials and plastics.
A data scientist and an immunologist used AI to design de novo T cell receptor-like proteins that helped kill cancer in vitro in a process that only took several weeks, in contrast to the typical one-and-a-half years.
Microfactories aim to capture the benefits of off-site fabrication without the drawbacks of centralized production by making factories shippable and goods more locally produced.
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Working with coding agents gets frustrating: constant command-tabbing, manually copying files, writing convoluted prompts to explain dependencies…there has to be a better way.
Runway's Aleph is a new in-context video model capable of editing, transforming, and generating videos. It supports tasks like object manipulation, angle shifts, and style or lighting changes with high fidelity.
Meta has named Shengjia Zhao, ChatGPT co-creator, as chief scientist of its new Superintelligence Lab to bolster its AI initiatives. Zhao will lead research direction, working closely with CEO Mark Zuckerberg and Chief AI Officer Alex Wang. The move highlights Meta's aggressive recruitment strategy to close the gap in advanced AI capabilities.
Chinese hardware has closed the computational performance gap from 10x to just 3x behind NVIDIA's latest chips, yet over 90% of notable Chinese language models since 2017 were still trained on Western hardware. Major bottlenecks in chip manufacturing yields—SMIC achieves below 50% compared to TSMC's 90%—and immature software ecosystems mean Chinese developers continue preferring NVIDIA when available.
This case study explores how Anthropic's internal teams, from legal to engineering, are using Claude Code to automate tasks, bridge skill gaps, and accelerate complex projects.
An AI orchestrated a successful event, handling tasks such as scheduling, marketing, and logistics. The event highlighted AI's potential to automate complex organizational tasks. This advancement could streamline event management and reduce human workload.