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The University of the Arts London (UAL) 2024 graduation ceremony will feature a "growth and transition" theme, represented by abstract floral designs created by Kind Studio. In collaboration with 3D artist Stee Shaw, these designs are showcased across various platforms, offering an immersive experience at the Royal Festival Hall.
Midjourney has launched a new web app for image creation that replaces Discord. Key features include intuitive prompt creation, easy access to history, image organization with smart folders, hybrid prompting, explicit iteration tools, and chat rooms. The web app also ensures you always use the latest model, simplifying the creative process.
Technology's impact on design is inevitable, as seen in the decline of traditional studios in the 1990s and the rise of AI in design tools today.
Staying creative with a design system involves understanding its mechanics — function, visual presentation, expression, and order — and seeing it as a collaborative tool, not just a set of rules.
The lawsuit against Stability AI and Midjourney, led by visual artists, has advanced to the discovery stage, potentially setting a precedent for copyright infringement in AI model training.
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87% of shoppers make at least half of their purchases online, while 39% of consumers return an item purchased online at least once a month. 52% of consumers say they have submitted a fake return at least once in their lifetime, up from 36% last year. The majority of consumers are open to exchanges or store credit instead of full refunds — if the returns process is easy. Research also suggests that consumers choose where to shop based on a retailer's available return options.
California's journalism industry has lost 68% of its workforce since 2005, prompting a $250 million deal with Google to support local newsrooms. The deal, which circumvents legislative efforts to tax tech companies, has been met with skepticism for its limited scope and the exclusion of other tech giants. Funds from the deal will be allocated over 5 years, with a focus on supporting underrepresented groups and AI innovation.
It's ideal to post on LinkedIn 2-3 times per week, spending 15 minutes engaging with replies before spending another 15 minutes interacting with other people's posts. Vary your post formats, as using the same one repeatedly can reduce your reach by 30%. Post new content between 10 am and noon, or when your followers tend to be online. LinkedIn determines how valuable the post is and whether or not to show it on other people's feeds during the first hour after you post.
Reposting Reels to Stories can slightly increase reach. Collab Posts perform better when initiated by the account with a larger following. Be mindful of follower preferences to avoid annoying them with repetitive content. While these strategies won't dramatically boost reach, they can refine content tactics.
Google's Interview Warmup is an AI-powered training tool for practicing interviews. It throws real questions based on your discipline (ie. e-commerce, UX, data, and analytics), evaluates your audio answers, and sends back recommendations on things like how you frame your qualifications.
Bing Webmaster Tools are free and offer several helpful resources, including site scans. Verify your site with Bing, and give it a day or two to collect performance and optimization data. Go to the “Site Scan” section to start the crawl. Once complete, the SEO report will provide “Errors,” “Warnings,” and “Notices” for your website.
The “Time is Money” White House initiative takes aim at bad corporate customer experience practices like customer service “doom loops” and problems with chatbots. 70% of customers struggle to reach a live representative, while 68.5% are dissatisfied with automated customer service, feeling trapped in systems that don't resolve their issues. 1 in 4 customers cite poor follow-up and lack of communication as key frustrations. Brands should invest in conversational intelligence tools, enhance existing automated systems, integrate customer interactions across channels, and close the loop with every customer that reaches out.
Reddit's visibility in Google search results increased by 1,328% from July 2023 to April 2024, prompting publishers to rethink their audience strategies. While Google's AI Overviews have declined in visibility, the emphasis on user-generated content, particularly from forums like Reddit, challenges traditional content approaches. Newsrooms are now experimenting with using Reddit for content inspiration and audience engagement, acknowledging the growing importance of experience-based content.
Time to Value is a critical metric in Customer Value Mapping (CVM), which reorients the customer journey to prioritize faster ROI. The CVM process begins by identifying delays and disconnects in the current customer experience and designing an improved "to-be" experience that eliminates these inefficiencies. The outcome is a cohesive go-to-market roadmap that ensures alignment across teams and quicker delivery of customer value.
Successful humorous marketing relies on trust, data-driven persuasion, and making advertising more palatable.
Submit your trademark to prevent competitors from using your brand in their ad copy on Google Ads.
Ikea's new platform, Ikea Preowned, allows customers to sell secondhand furniture directly to each other.
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Developing a product without data is a lot like roadtripping without directions. Sure, you can hop on the highway without your GPS—but you need guidance to reach your destination as quickly and efficiently as possible.
Business owners may mistakenly claim profitability based on minimal expenses, but true profitability means being able to afford to pay others to do your job and sustaining a business without depleting personal savings. Building a genuinely profitable business takes time and early stages often involve financial struggle, so they should focus on realistic goals and sustainable growth instead of premature profit claims.
AI is driving a major transformation where software becomes labor. It is not eliminating white-collar jobs, but creating new "AI jobs" that weren't feasible before. AI software companies will fall into three categories: tools enhancing existing software, tools that could replace existing software, and tools that perform entirely new tasks, essentially becoming labor itself.
Whether to adopt product-led growth or not is often misunderstood. Most companies blend PLG with sales-led models, and the key is finding the right balance. Ignoring PLG risks disruption, while overdoing it can harm unit economics. For many established companies, adapting to a market that now expects a mix of self-serve and sales is essential.
As a small competitor, you can grow unnoticed, but eventually, bigger rivals will catch on. Relying on low prices alone is risky — larger companies can undercut you, and price wars squeeze margins. Build a true differentiator, or you risk being disrupted when someone offers a similar service for less.
Two common pitfalls in enterprise product management are underestimating customer complexity and failing to manage customer input effectively. Low feature adoption often stems from issues like lack of true value, low usage urgency, limited awareness, or difficulty in use.
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Building product integrations? Starting from well-defined requirements will speed your time to market, reduce development and maintenance costs, and keep your end users happy with the results. Download the template [10] to help your team be more effective at gathering integration requirements, and to make sure you're capturing
Learn strategies for viral consumer apps, the challenges of creating durable social products, the importance of targeting teens for growth, how to optimize user engagement quickly, and why big companies struggle to launch hit social apps compared to startups driven by hunches about basic human motivations.
To effectively lead a large team, it's crucial to not only create and communicate a clear, strategic plan but also to keep it alive and relevant through regular updates and engagement, ensuring it remains a practical tool that guides the team's decisions and progress.
Growth teams often face challenges when coordinating with core product teams, as their need to influence various product areas for business metrics can create conflict. Collaboration and credit-sharing are crucial to ensure successful outcomes.
Humans naturally seek belonging, but its impact depends on how it's fostered. To build true belonging at work and in communities, we must meet people where they are, understand their motivations, create space for constructive disagreement, and find common ground. Belonging thrives when people feel safe to be themselves without pressure to conform.
To successfully implement product discovery, it's important to educate all cross-functional team members, balance high-level guidance with practical applications, and treat the adoption process like a product by starting small, iterating, and scaling based on proven value.
This post reflects on the challenges of being a passionate change agent, pondering the importance of managing energy, avoiding unforced errors, and understanding when to step back to preserve long-term impact and well-being.
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It's not unusual to find a ratio of 25:1 between developers and ops people in modern software development environments. Giving developers the tools to succeed is more challenging than ever.
Apple's iCloud and CloudKit were built using a combination of Cassandra and FoundationDB. Cassandra, which is being actively improved by Apple engineers, handles exabytes of data and millions of queries. FoundationDB powers CloudKit, Apple's cloud backend service. It provides key features like transactional guarantees and solves scalability issues that Cassandra alone could not address. Each iCloud user gets their own database, resulting in billions of databases. This is made possible by the Record Layer's stateless architecture and resource allocation using a “record store” abstraction.
Meta's animate feature, which allows users to generate short animations from AI-generated images, had big challenges in scalability and efficiency. To overcome these challenges, the team implemented a series of optimizations, including halving floating-point precision, improving temporal-attention expansion, leveraging DPM-Solver to reduce sampling steps, and combining guidance and step distillation. They also deployed a traffic management system for better routing and less latency, as well as a retry system with optimized settings to reduce errors.
This developer fixed a bug in the Chromium/Google Chrome web browser, their first contribution to an open-source project of this scale. They detail the process of building Chromium from source, finding the bug in the Devtools network inspector, debugging the code, and finally creating a fix. They also talk through the process of submitting the code, getting it reviewed, and the final impact of their contribution.
Separating layout from content in UI component development improves code reusability and maintainability by allowing components to adapt to different layout contexts without needing to override styles.
Object storage is becoming more popular for both transactional and analytical workloads. Adopting new programming models presents a greater challenge due to the lack of clear migration paths and the perceived high investment risk. Object storage in the future may become a ubiquitous component of distributed systems as new programming models emerge, shifting code from applications to infrastructure.
Dokku is an open-source platform-as-a-service that allows users to create a Heroku-like environment on their own servers. It comes with features like automatic SSL certificate management, basic authentication, and flexible scaling. This developer uses Dokku to deploy various applications for their LLM consulting work, especially for non-GPU workloads.
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FusionAuth adds login, registration, SSO, MFA, and a bazillion other features [11] to your app in days – not months. It comes with everything you need out of the box, and it's flexible enough to customize and scale with unlimited MAU and identity provider connections. For added awesomeness, you can run it on any computer,
av is a command-line tool that helps you manage your stacked PRs on GitHub. It allows you to create a PR stacked on top of another PR, and it will automatically update the dependent PR when the base PR is updated.
Protobuf-ES 2.0 is a significant update to the Protobuf runtime library for JavaScript and TypeScript. The release brings major improvements, including full support for Protobuf Editions, new APIs for field presence and default values, and a complete runtime reflection API.
Tach is a Python tool that enforces dependencies using modular architecture.
Every year, Jane Street presents what its interns worked on that summer. Arya Maheshwari developed Camels, an OCaml dataframe library, while another intern, Arvin Ding, designed a faster binary serialization protocol, resulting in improved tail latencies in production systems. Alex Li enhanced Limshare's time-travel debugger by integrating snapshotting, making it easier to investigate production incidents and understand the history of state changes.
Stripe makes it difficult to calculate crucial metrics like MRR through its API, forcing companies to use add-ons like Stripe Data Pipeline and Stripe Sigma. This strategy creates a barrier for businesses, especially those with usage-based billing models, making data analysis challenging. As a result, third-party tools and open-source billing solutions have emerged to fill the gap.
This blog post explores the use of erasure coding in distributed systems through practical examples, explaining its benefits in terms of storage efficiency, fault tolerance, and tail latency reduction while discussing the trade-offs involved, such as increased IOPS and decoding costs.
This is a guide for engineers on how to convince their product managers to prioritize resolving technical debt by aligning it with business strategy and demonstrating its direct impact on developer velocity, time to market, customer experience, and long-term scalability.
Linux pipes are significantly slower than expected due to the kernel's inefficient memory management and lack of vectorization when copying data, leading to a 10x slowdown compared to writing directly to memory.