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Brand messaging is instrumental to shape consumer perception and increase long-term revenue. This guide covers how to create a brand messaging framework and provides a free template. It includes a free template and examples from 5 brands, including Liquid Death, Under Armour, and Workday.
GETitOUT extracts pain points and goals from competitors’ websites to generate buyer personas. It also produces marketing copy for each persona for landing pages, emails, and more.
A list of 18 books to help you write better, be more creative, and grow brands.
Live Tinted leveraged a 75,000-person-strong online community into a loyal and passionate customer base for the brand — months before they had a product to sell. It started with the founder posting beauty hacks for her skin tone, which grew into a brand page with daily posts and UGC. She then used feedback from this community to identify the biggest pain points and decide which products to launch.
Retailers are switching up their marketing tactics as CPAs rise. Brands should focus on building brand equity when conversion rates are suffering. Marketers should also consider new buyer journeys, as consumers increasingly visit sites via product pages instead of the homepage.
Improve conversion rates by testing product images, social proof, and users’ return loops.
Don’t become so distracted by short-term tactics that you lose sight of long-term growth.
The subscription model creates challenges for marketers: ads will be less effective and have less reach, brands must rely more on organic social reach to reach subscribed users, and small businesses with limited resources will struggle to compete.
Grab operates a Segmentation Platform to categorize users, drivers, and restaurants into segments for various purposes, such as experimentation, blacklisting, and marketing. This platform handles substantial workloads, with impressive performance metrics of up to 12,000 reads per second, 36,000 writes per second, and a low P99 latency of 40 milliseconds. It consists of two key subsystems: Segment Creation, powered by Apache Spark, and Segment Serving, supported by Go services and ScyllaDB for efficient data storage and retrieval.
This article dives into best practices for React application structure and design, with general rules for building a productive codebase. It covers various aspects, including components, state management, application structure, performance, testing, styling, and data fetching. The article advocates favoring functional components, maintaining consistency in component styles, and using meaningful component names. It also suggests organizing helper functions outside the component definition, avoiding hard-coded repetitive markup, and managing component size effectively.
A well-designed API can enhance performance, while a poorly designed API can cause a multitude of issues, such as bottlenecks and security vulnerabilities. Different API styles include REST, GraphQL, WebSocket, Webhook, RPC (gRPC), and SOAP. This article breaks down different API styles and explores the key features and drawbacks of each API type. For example, GraphQL offers flexibility by allowing clients to specify their data requirements and is suitable for scenarios with complex frontend needs.
This article explains the 7 types of difficult coworkers you may encounter, why they’re difficult, and how to turn situations with them into wins for both of you. The author is a tech lead at Meta and has over 10 years of industry experience. An example is the risk-averse coworker: they want to avoid risks and tend to push back on new initiatives because they want to make sure you have done your research. The key to working with them is recognizing what they’re doing is good for you - they are a forcing function for ensuring your plans are well thought out.
An engineering team built a product that grew fast without writing any tests. However, the product is now starting to have flakiness and bugs from its lack of tests, so a Reddit user asked when the right time to start writing tests is. Commenters respond with advice, such as writing unit tests to make sure functionality doesn’t change over time. They advise selling the idea of taking time to write tests to management by using a perspective of risk.
OpenSign is an open-source document e-signing solution. It ensures document security through advanced cryptographic algorithms, features a user-friendly interface for all users, and supports various browsers and devices. OpenSign also allows collaboration among team members, maintains detailed audit trails, generates completion certificates, and offers API support for integration with other software and services.
ScratchDB is a Clickhouse wrapper that enables users to input arbitrary JSON data and conduct analytical queries effortlessly. It automatically generates tables and columns as new data is introduced.
There are a number of different things we need to take into consideration in order to balance ergonomics, performance, and effectiveness when serving and storing files on the web. This post breaks these processes down into three parts: concatenating files on the server, compressing them over the network, and caching static assets.
Two new values for the text-wrap property were recently introduced: balance and pretty. This article explores when and why you should use them, with code samples to help you visualize their effects.
A list of GitHub repositories containing system design tutorials, blogs, videos, and case studies.
A/B tests are used to gauge the impact of simultaneous changes on different segments of a user base. While A/B tests can be highly beneficial for tech giants like Google or Meta, they often pose more challenges than advantages for other companies. Reasons for this include insufficient data, the tendency for incremental changes, the added workload of building and maintaining both features, and difficulty in determining what exactly to measure. Startups, in particular, benefit from being opinionated due to resource constraints and the inability to conduct extensive tests.
Big companies and small companies make different hiring decisions for different reasons. The current difficult state of the hiring market will probably rebound next year.
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API integrations today are increasingly time-consuming and burdensome for end-users. Speakeasy offers a new approach to crafting a high-class developer experience. Whether it’s type-safe SDKs
This article goes over the changes in Next.js 14. The update features partial prerendering, stable Server Actions, a free course, and more. There are several breaking changes and some features have been deprecated.
Pollen is a highly configurable and responsive library of style-agnostic CSS variables that allows developers to write faster, more consistent, and more maintainable styles.
verto.sh curates accessible projects to make it easy for people to enter the open-source world.
Most popular diffusion models like Stable Diffusion have been trained on a wide variety of data, but much of that data is subject to different copyright restrictions. This new model from MosaicML is trained purely on Creative Commons data and achieves similar performance to SD 2 while requiring only a fraction of the training data.
This research introduces LLM-FP4, a novel method to compress large language models by converting their weights and actions to 4-bit floating-point values after training.
The paper examines how well GPT-4V, a Large Multimodal Model, performs in various Optical Character Recognition (OCR) tasks, from reading scenes and handwritten texts to understanding complex document structures.
This study presents a model tailored for underwater vehicles that can estimate real-time depth from single images by combining sparse depth details.
GPT Pilot is an AI-powered dev tool that writes scalable apps from scratch. It enables developers to create apps using a description of the kind of app they want to build. GPT Pilot creates apps step-by-step while asking questions for clarification or help when it gets stuck. A video demo is available in the repository.
ToRA is a series of Tool-integrated Reasoning Agents designed to solve challenging mathematical reasoning problems by interacting with tools.
AI needs data to work, meaning data functions are getting closer to the core of the product-building process and moving away from internal business intelligence.
The study introduces RGM (Robust Generalist Matching), a deep learning model designed for both sparse and dense pixel matching in images. The method leverages a unique cascaded GRU module and a new large-scale dataset.