6 EMAIL CAMPAIGNS YOU CAN RUN ANYTIME
Email inspo for FAQ campaigns, founder stories, and customer reviews.
Full-text search across article titles and summaries. Refine with sector, year, content type, and reading-time filters.
Email inspo for FAQ campaigns, founder stories, and customer reviews.
A one-page guide on determining the budget required to reach your target audience.
Sponsored
You would be hard-pressed to find an AI assistant or agent that doesn't include some form of retrieval-augmented generation. If you're looking for the best ways to incorporate RAG into your apps, start with these free resources:
a16z has urged U.S. policymakers to prioritize AI competitiveness by supporting startups through three key policies: federal leadership in AI regulation, a harm-based approach to regulation instead of development restrictions, and increased investment in AI infrastructure and talent.
An effective strategy requires making clear choices about what not to do, visualizing the plan, measuring outcomes rather than outputs, and communicating consistently. To take action, start simple, validate quickly, and iterate by developing a basic strategy, sharing it for feedback, and refining it over time.
Transitioning to a product model requires shifting from outputs (features shipped) to outcomes (measurable impact), which can be challenging and needs organizational change. Companies often struggle with common mistakes like relying on outdated metrics, vague problem definitions, and improper measurement. Strong product teams overcome these by defining problems clearly, tracking relevant KPIs, and refining their approach to deliver value.
Effective leadership in transformation requires distinct skills from general product leadership, as some leaders excel at demonstrating best practices while others specialize in driving long-term change. Leaders can improve adaptability by providing strategic context, setting expiration dates for new initiatives, and encouraging team input to foster a sense of agency and alignment.
Pilot testing helps product teams quickly learn from real users in a controlled setting, uncovering insights that improve product relevance and reduce risk before scaling. Unlike beta testing, which gathers broad quantitative data, pilot testing provides deep qualitative feedback, enabling teams to iterate rapidly and refine their approach for greater market success.
ChatGPT is the best all-around AI assistant, Claude excels at writing and coding, Gemini handles long-context tasks and video generation, Grok is the best free option for research, and Perplexity is great for quick searches and travel planning.
Even for sales-led companies, incorporating Product-Led Growth tactics can accelerate sales cycles, improve retention, and drive expansion. Key strategies include using interactive demos, time-based trials, self-serve activation, product usage signals for expansion, and user-generated content to enhance engagement and conversion efficiency.
Breaking free from the cycle of comparison requires actively shifting focus from perceived shortcomings to recognizing personal progress. Individuals can develop a more accurate and empowering perspective by embracing what has already been achieved while continuing to grow, fostering confidence and motivation without losing their drive for improvement.
Flat dashboards and isolated metrics lack context, much like flat backlogs fail to show a system's purpose.
Wealthfront improved its iOS end-to-end test suite performance by over 50% with a 40-line code change. It identified that the default XCTWaiter polling mechanism caused bottlenecks due to its fixed 1-second interval between checks. Initially, its team sped things up by implementing a custom waiter with a shorter polling interval of 0.1 seconds, but this overwhelmed its CI machines. They fixed this by implementing exponential backoff for the polling interval to adapt to CPU load.
This article goes over how to implement custom error reporting in React Router, moving beyond the default development error messages. Devs first need to enable source maps in production to map bundled code back to the original source. Then, a custom `handleError` function needs to be created that reads source maps and extracts relevant source code context to send detailed error reports via email. The article also provides code examples for setting up a custom server, reading source maps, and formatting error reports, along with tips for environments lacking filesystem access.
Modern web apps, being distributed, require better data synchronization solutions. Current tools like XHR and fetch are not enough for handling the complexities of continuous data updates, failures, and out-of-order arrivals. The solution is in sync engines, client-side databases that manage data delivery and synchronization.
AI IDEs like Cursor fork VSCode, integrate a chat UI, implement coding agent tools like `read_file` and `write_file`, and optimize internal prompts. Users should simplify tasks for the main LLM agent by using smaller models for sub-tasks and prove explicit context through "@file" syntax and well-commented code.
A clean data strategy is necessary for AI projects because the quality of AI depends on quality input data. That's why it's useful to have data quality processes and teams if your company is working on AI.
Sponsored
An experimental package that integrates Clerk into AI agent workflows, empowering developers to build agentic systems with user and organization management. It works seamlessly with frameworks like
Localscope is a Python library that helps prevent bugs in Jupyter notebooks by restricting the variables a function can access, avoiding accidental use of global variables. It achieves this through a decorator, `@localscope`, that raises an exception if a function attempts to use a global variable that hasn't been explicitly allowed.
HPKV is a high-performance, persistent key-value store that offers ultrafast speeds and low latency.
⌘K is a fast, unstyled command menu React component that also functions as an accessible combobox. It automatically filters and sorts items, supports custom filtering, asynchronous results, and integration with Radix UI components.
Inspired by the need for a better manga reader, this developer aimed to replicate Photoshop's key features in an application called Fedit. He focused on creating a lightweight, portable program with a familiar interface, which eventually helped him land a job.
Practicality and cost-effectiveness often lead to touchscreens today, despite their limitations and complaints asking for tactile interfaces again. While new paradigms like smartphones emerge from necessity, the desktop interface is a mainstay due to its effectiveness.
OpenAI is shifting focus from models themselves to building comprehensive application and integration layers to maintain its position. This involves improving ChatGPT with features and developing APIs that make LLM application development easier. The company seeks to lock developers into its ecosystem by providing a complete framework.
Alphabet's laser-based internet project Taara, a potential competitor to Starlink in connecting rural areas, is spinning off into an independent company.
There's a surprising JavaScript behavior where `x = 1; x; // 0` evaluates to 1 because `-->` at the beginning of a line is interpreted as a legacy comment, a holdover from older browsers needing to ignore JavaScript within `script` tags.
The web, like any ecosystem, is a complex, evolving system that shouldn't be fundamentally changed or "rebuilt" because it's not a static artifact but a living process built on accumulated history and dependencies.
Node.js 21.7.0 introduces a new `styleText` utility in the `node:util` module for simple text formatting with combinable modifiers.
Sponsored
EmpowerHR North America is just THREE DAYS AWAY—but there's still time to grab your free spot [4]. Here's why you should:
Robby Walker, the executive overseeing Apple's Siri revamp, said that the delays to key features have been ugly and embarrassing and that the decision to publicly promote the technology before it was ready made matters worse. It is unknown when the enhancements will actually launch, but they aren't expected until next year at the earliest. These features were a key selling point of the iPhone 16 line, which otherwise lacked major changes. Apple reportedly doesn't plan to immediately fire any top executives over the AI crisis, but the company is poised to make management adjustments.
Astronauts Butch Wilmore and Suni Williams, who were only supposed to be on the International Space Station for eight days, will begin their journey back to Earth later this week. A SpaceX capsule carrying a new crew has docked at the ISS. There will be a two-day handover period after which the old crew will begin their journey - there could be a small further delay due to weather conditions. The astronauts have consistently said that they have been happy to be on board the space station.
Intuitive Machines' Athena spacecraft's altimeter failed during landing last week, causing it to misjudge its altitude and land in a small shadowed crater after toppling over and rotating once or twice. This caused regolith to be blown up into the solar panels, which meant the panels weren't able to provide the lander sufficient power to survive. The lander was able to accomplish some of its objectives as mission operators decided to operate as robustly as possible for 13 hours to get as much data as they could. Despite the bad landing, the mission was largely a success - Athena flew smoothly, the company validated the spacecraft's methane-based propulsion system, and it also proved that its communications technology can be used as part of the lunar data relay network that NASA has contracted with Intuitive Machines to develop.
The past year has seen some really interesting feature launches for S3 that remove limits and make S3 simpler. A lot of work has gone into the properties that make S3 simple - the S3 team considers themselves successful only when these things can be taken for granted as that means they aren't distractions. All of the most popular features on S3 have been in direct response to requests from S3 customers - this article looks at how the S3 team has evolved its product in response to the huge range of things that builders do today while keeping it simple so that developers can work with data and not have to think about anything else.
Excellent project management is an extremely high-leverage skill - organizing a ton of moving parts with complex, non-obvious interdependencies and hard schedule constraints is a huge job and can save weeks of delays if done right. Project management requires focused time for organization. A detailed plan for victory is important because whether or not the plan is being achieved is the best way to figure out how well or badly things are going. Getting complete information can often be the hardest part of the project. It's important to overcommunicate so everyone knows what else is going on to make correct decisions. Delegate when the project gets too big - sometimes it's impossible to track every detail by yourself.
The latest cohort of Y Combinator startups is growing significantly faster than past cohorts - and with actual revenue. The entire batch in aggregate grew 10% per week over the last nine months. Y Combinator CEO Garry Tan attributes the growth spurt to leaps in artificial intelligence. AI's ability to subsidize an otherwise heavy workload has allowed these companies to build with fewer people. 95% of the code was written by AI for about a quarter of the current Y Combinator startups. While there's a ton of hype, the startups are actually getting commercial validation.
Being a software engineer has been a lot of fun for most of the last decade, with good job opportunities and plenty of perks for working in tech. That has changed in the last two years. A lot of software engineers are refusing to change - there is going to be a personal cost to anyone not going along with the vibe shift, particularly for more junior or more vulnerable engineers. Companies are now trying to focus, so funding and resources are more focused on a handful of bets that company executives actually care about. The silver lining is that the industry is now more realistic and value is easier to understand.
Developers can now experiment and even distribute APKs using the Meta Quest's new Passthrough Camera API, but they can't use it yet in Meta Horizon Store apps.
If you are finding the job market difficult at the moment, it's not personal - those who are in frustrating roles should try harder than usual to find a way to make it a rewarding experience.
Tesla plans to use an internal fleet backed by teleoperation support in a geo-fenced and mapped area when it launches its robotaxi service in Austin, Texas, in June.
Large language models' ability to compress information, even if imprecise, can help preserve pieces of the Internet that would otherwise be lost to time.
Meta's former director of global public policy, Sarah Wynn-Williams, has written a book which describes the company's leaders as status-hungry and self-absorbed people who chafed at the burdens of responsibility.
The FDA has declared that the shortage of GLP-1 drugs is over, meaning compounding pharmacies can no longer sell cheap GLP-1 drugs.
Sponsored
Running inference at scale is both the hardest and most critical challenge for turning AI into a product. Baseten [4] combines software, expertise, and research to deliver an inference platform with everything required to run a production-grade AI-native product, spanning:
Google Assistant is transitioning into Gemini, a more personalized and AI-driven assistant designed to integrate with apps and services while leveraging generative AI.
Google outlines its vision for U.S. AI policy, advocating for investments in AI infrastructure, streamlined government adoption, and international pro-innovation standards to maintain leadership in the AI space.
Japanese AI startup Sakana used its AI Scientist-v2 to generate a paper accepted at an ICLR workshop but withdrew its post-initial review due to transparency concerns. Though Sakana highlights AI's potential, critics argue that human judgment was crucial and acceptance was facilitated by higher workshop acceptance rates. Skeptics remain wary, emphasizing AI's technical flaws and the need for established norms to prevent degrading the scientific review process.