To reach 10K LinkedIn followers, post consistently around one clear mission rather than hacks like pods or automation. Define a single problem to solve, then use the shared GPT tools (provided in the article) to refine your mission, design your profile, write posts, and build a 30-day content calendar. Optimize your profile with a clear headline, simple visuals, and easy links, then create posts that break down solutions in engaging formats, using AI for research and content ideas.
Levels Health built its brand by reframing continuous glucose monitors as lifestyle tools rather than medical devices. Before launch, it built a 40K+ waitlist and turned early adopters into evangelists, creating social proof that made the product cultural currency. Its marketing runs like a media company, producing blogs, podcasts, and videos for education, distributed across Instagram, YouTube, LinkedIn, and X. By prioritizing education and community over growth tactics, customers end up selling themselves on the product.
AI-generated models and digital clones are reshaping the fashion industry. In 2024, there were 5,350 modeling jobs nationwide, with employment projected to remain flat through 2033. The median pay for a model that year was $89,990, but digital clones may earn less per job even if they allow for more work without travel. While companies like Guess and H&M have experimented with AI models, they have faced backlash over job displacement and unrealistic beauty standards. The industry is uncertain about how human models and AI will coexist.
Product teams are drowning in AI complexity: building models, managing inference, and scaling production. None of the off-the-shelf solutions understand your unique business context, and piecing together different tools kills productivity.
AI accelerates product development, but without disciplined critical thinking, it risks enabling distraction over value. Prioritize fast learning, thoughtful experimentation, and outcome-focused decisions to ensure impact over noise.
Building effective AI products requires starting with real customer needs, testing with safe, relevant users, and embracing architecture beyond chat interfaces. Consistent quality and ethical data use require evals, trace analysis, and continuous iteration
You're already collecting behavioral signals to measure product activity: completion times, hesitation, copy/paste usage, autofill... Can you use the same data to stop bad actors? This guide by Persona [9] includes a 50-signal checklist, case studies of weak signals detecting sophisticated attacks, and frameworks for building fraud
Evals help PMs validate cross-functional workflows by testing prioritized customer scenarios, not just individual components. This lightweight, repeatable process surfaces integration risks early and aligns teams around product readiness.
Scrappy feedback gathering fuels sharper insights by prioritizing proactive, hands-on customer engagement over passive data collection. Whether at a startup or large company, consistent, unfiltered input leads to faster learning, better decisions, and more resonant products.
An analysis of 100+ developer tool landing pages found that successful pages follow a consistent structure: hero section, trust block, feature block, social proof, supporting blocks, and final CTA. The research showed that great dev tool landing pages avoid flashy interactions and focus on clean, centered layouts with clear typography, while hero sections typically use centered composition with either static or animated product UI screenshots.
Big O notation is a way to describe a function's performance by showing how its execution time scales with the size of the input. This article explains four common Big O notations: constant O(1), logarithmic O(log n), linear O(n), and quadratic O(n^2), providing examples for each. It then discusses practical coding scenarios, such as finding items in lists, looping with indexes, and caching results, to demonstrate how understanding Big O can optimize code.
OAuth allows third-party apps to access user data or perform actions on behalf of a user without requiring the user's password. The process involves redirecting the user to the authorization server (like Chase), where they log in and grant specific permissions (scopes) to the app (like YNAB). The authorization server then redirects the user back to the app with an authorization code, which the app exchanges for an access token via a secure back-end request. This access token enables the app to access user data from the resource server, all while keeping the user actively involved and in control of what data is shared.
This dev switched from Cursor to Claude Code, finding that it feels much better for real development work. He works with it by creating a Claude.md file as onboarding documentation for the AI, following an "Explore → Plan → Code" workflow instead of jumping straight to implementation, and using features like custom slash commands and screenshot sharing to maximize productivity.
The problem of synchronized demand in computer systems is where many clients request resources at the same time, leading to overload. Jitter is a technique that introduces random delays to spread out requests and prevent peaks. The optimal jitter window is determined by balancing overload risk with added latency, considering factors like system headroom, service time, and product requirements.
Clerk M2M tokens are now available in Public Beta. M2M tokens are designed to authenticate requests between different machines within your backend infrastructure. Try it today & give us your feedback [13].
Base is a macOS app that provides a user-friendly interface for managing and editing SQLite databases. It offers tools for inspecting schemas, editing tables, browsing data, and writing SQL queries with features like autocomplete and syntax highlighting. The application also supports importing data from CSV and SQL files and exporting to various formats like SQL, JSON, and Excel.
DeepWiki is an AI-powered tool by Cognition that transforms any GitHub repository into an easily navigable wiki for better code understanding. It allows users to quickly find answers to questions about a codebase without extensive digging, with features like fast and deep research modes, and grounded answers with citations.
Scamlexity explores the vulnerabilities of Agentic AI Browsers to online scams. These AI browsers can fall for phishing scams, fake shops, and prompt injection attacks due to missing security guardrails.
AI agents are making it easier for devs to complete complex tasks from ideation to deployment with a single prompt. GitHub Copilot has evolved from a “pair programmer” to a “peer programmer” that handles complete tasks.
Stagewise is a frontend coding agent designed for production codebases that allows developers to make changes by specifying desired alterations and interacting with elements in the browser.
A Firefox extension was created to enable keyboard navigation and action execution on websites that use non-link elements like buttons and divs by simulating a click on highlighted elements when the Enter key is pressed.
Apple will lay the foundation for a once-in-a-generation iPhone overhaul at its next product launch event. The company has planned three straight years of major iPhone redesigns. The plan starts with the iPhone Air, a skinny new model that follows the MacBook Air laptop strategy. Apple's first foldable iPhone will arrive in 2026. 2027 will see the iPhone's 20th birthday and the introduction of a curved-glass 'iPhone 20'.
Elon Musk's new software venture, Macrohard, is a purely AI software company designed to generate hundreds of specialized coding and generative AI agents that could one day simulate products from companies like Microsoft entirely through artificial intelligence. The company appears to be closely linked to xAI's Colossus 2 supercomputer project in Memphis. Musk has confirmed plans to acquire millions of Nvidia GPUs. Colossus is already one of the most powerful supercomputer clusters in the world, and it is still being expanded.
SpaceX has planned for a controlled splashdown for Super Heavy in the Gulf of Mexico and an Indian Ocean splashdown for Ship for the next Starship test flight. The launch window for the flight opened on August 24 at 7:30 PM, but the launch was scrubbed 30 minutes from the planned liftoff to allow time to troubleshoot an issue with ground systems. SpaceX has beach and road closures scheduled for Monday and Tuesday all day, so it is highly likely it will reattempt a launch very soon.
Meta researchers have found a new use for photonic integrated circuits (PICs), chips that can receive, modulate, and direct light. Their PICs can receive RGB light from laser light sources integrated into a panel, process it, then shine light onto a liquid crystal on a silicon panel for final display. The overall complex is just two millimeters thick and has a dramatically better color gamut over similar displays. These PICs are manufactured using a CMOS-compatible process, which means they should be affordable to create at scale.
Always start with a technical design document, as this is where the bulk of the work happens. Design review before launching into the development effort, and backlog development and sprint planning. Use Test Driven Development, and have a dev approval process before code can get merged into main. Test in staging before pushing to production.
APIs are public interfaces for communicating with a program. Most of what modern software engineers do involves APIs. APIs are hard to build because they're inflexible, but must be easy to adopt. This is a guide on good API design that covers how to change APIs without breaking userspace, how APIs are affected by products, authentication, retries, safety, rate limiting, and much more.
Meta plans to launch its first consumer-ready glasses with a display at its annual Connect conference next month. The company will also launch a wristband that will allow users to control the glasses with hand gestures. The glasses, which will feature a small digital display in the right lens, are expected to cost about $800. They will be solid in partnership with EssilorLuxottica, with which Meta has been in partnership since 2021, when the two companies released the first-generation Ray-Ban Stories.
Coinbase CEO Brian Armstrong recently fired engineers for not signing up for and testing the AI assistants the company purchased licenses for. The firings sent a clear message that AI isn't optional at the company. Armstrong has since leaned even further into AI training. The company hosts monthly meetings where teams that have mastered creative ways to use AI share what they have learned.