usefmtly
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usefmtly is a browser-based toolkit for text formatting, converters, random generators, list tools, and code utilities. Core functionality runs entirely in the browser, so tools open quickly and work without requiring an account.
It includes utilities for formatting text, cleaning lists, converting values, generating random data, and working with developer formats like JSON, YAML, Markdown, CSV, and JWTs.
Built with Next.js and static export, usefmtly is designed to be fast, simple, and easy to use across desktop and mobile.
Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
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usefmtly's answer
The primary audience includes developers, technical writers, students, marketers, content creators, and everyday internet users who need quick browser-based utilities for formatting, converting, generating, cleaning, or transforming text and data.
usefmtly's answer
usefmtly is designed to remove friction. Users can open a tool and use it immediately, without signups, paywalls, or unnecessary complexity. Core functionality runs in the browser, which makes the tools fast, simple, and practical for everyday use across desktop and mobile. It is a good choice for people who want lightweight utilities instead of bloated websites.
usefmtly's answer
usefmtly focuses on fast, browser-based utilities that work instantly without requiring an account, a subscription, or server-side processing for core functionality. The product combines text tools, converters, generators, list utilities, and code helpers in one consistent interface, so users do not need to jump between multiple websites for simple tasks.
usefmtly's answer
usefmtly is early-stage and primarily serves individual users, including developers, content creators, students, and productivity-focused professionals. At this stage, the product is focused more on broad everyday usefulness than on named enterprise accounts.
usefmtly's answer
usefmtly is built with Next.js, React, TypeScript, Tailwind CSS, and Vercel. The site uses a static-export approach so pages can be deployed as fast browser-based tools with minimal infrastructure.
usefmtly's answer
usefmtly started from a simple frustration: many small utility websites were overloaded with ads, slow scripts, or unnecessary account requirements. The idea was to build a cleaner alternative โ a collection of useful browser-based tools that solve one task well, open instantly, and stay easy to use.
It definitely increases my productivity.
Based on our record, GitHub Copilot seems to be more popular. It has been mentiond 387 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Where llms.txt genuinely gets read is a different layer: coding and agent tooling โ Cursor, Claude Code, GitHub Copilot, Windsurf โ pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's Agents SDK. That's real, and it's growing fast. - Source: dev.to / 13 days ago
You need an active GitHub Copilot subscription. Plans are available at individual, business, and enterprise tiers at github.com/features/copilot. Once active, all tools use your GitHub account credentials. - Source: dev.to / about 1 month ago
For over a decade PhpStorm (starting in my WordPress era) and later WebStorm have been my main IDEs for web development. So when GitHub Copilot launched, it was a natural choice to try it out in WebStorm. It was one of the first AI coding tools I used, and it had a big impact on how I thought about AI-assisted coding. - Source: dev.to / about 1 month ago
Before we get into it, there are some things about AI usage worth addressing. I've had my fair share of scepticism in the past, but recent model releases have made it increasingly difficult to argue that AI isn't a viable tool for the majority of workstreams, including building user interfaces. Most large language models are trained on public data scraped from the internet, which means your internal design system... - Source: dev.to / about 1 month ago
Most developers still treat GitHub Copilot like a very good autocomplete engine. That's useful, but it's not the real unlock. - Source: dev.to / about 2 months ago
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