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Pattrn is a self-improvement app that helps you track your behavior, uncover hidden patterns, and course-correct with clarity.
It goes beyond simple habit tracking โ Pattrn is designed as a behavior feedback system. You log what matters (like goals, habits), and the app quietly watches for patterns in how you show up. Over time, it gives you sharp insights: whatโs working, whatโs not, and where youโre drifting off course.
Whether youโre tracking your gym consistency, trying to build a writing habit, or simply wanting to understand how your energy shifts week to week, Pattrn reads the signals and helps you zoom out.
Built with AI-powered pattern recognition, Pattrn helps you spot trends you wouldnโt see on your own. It offers smart goal creation, habit suggestions, and personalized nudges that feel intuitive โ not overwhelming. Everything is customizable, lightweight, and designed to stay out of your way until you need it.
GitHubPattrn.io's answer:
Pattrn is built for people who care about growth but are tired of noisy tools. Itโs ideal for thoughtful doers: students, creatives, founders, and professionals who want clarity and structure in their self-improvement journey. They value design, depth, and autonomy โ not motivation hacks or gamified apps.
Pattrn.io's answer:
Pattrn is the first self-improvement system powered by behavioral pattern recognition. Rather than focusing on streaks or gamification, it gives users clarity: whatโs working, whatโs off, and what to do next. It reads your real behavior and gives back sharp insights โ Insights, honest feedback, backed by AI.
Pattrn.io's answer:
Most self-improvement apps track behavior. Pattrn understands it. While others focus on daily checkmarks, Pattrn looks at the bigger picture โ uncovering hidden trends and gently correcting your course. Itโs for people who care less about points and more about personal growth. It feels like having a quiet coach who sees what you canโt.
Pattrn.io's answer:
Pattrn began as a frustration with habit trackers that felt like to-do lists. They didnโt help us understand ourselves. The goal was to build something quieter and smarter โ a space where your behavior could speak for itself. As we developed it, we realized that insight, not input, was the missing piece. Thatโs how Pattrn was born โ as a tool that listens, reflects, and guides.
Pattrn.io's answer:
โข SwiftUI and Core Data for a fast, native iOS experience
โข OpenAI API for goal creation and pattern recognition
โข Firebase for structured backend data when needed
Pattrn.io's answer:
Pattrn is used by: โข Self-improvement enthusiasts across over 30 countries โข Creators, founders, and developers using it to align goals โข Students and professionals aiming to track and realign their routines (Note: As a young company, we are focused on meaningful use rather than name-dropping big brands.)
Based on our record, GitHub seems to be more popular. It has been mentiond 2465 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.
Import requests From bs4 import BeautifulSoup From datetime import datetime Def fetch_github_trending(): url = "https://github.com/trending?since=daily" response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') repos = [] for article in soup.select('article.Box-row'): repo_link = article.select_one('h2 a')['href'] stars_today =... - Source: dev.to / about 15 hours ago
Git clone https://github.com//.git /opt/app Cd /opt/app Docker build -t app . Docker run -d --name app --restart unless-stopped -p 8080:8080 app. - Source: dev.to / 4 days ago
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 9 days ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 9 days ago
## Tell Git to start tracking your project Git init ## Take a snapshot of all your current files Git add . ## Save this snapshot with a description Git commit -m "Initial commit from AI tool" ## Connect your local project to GitHub ## Get repository URL from your GitHub page ## it looks like https://github.com/your-name/your-repo.git Git remote add origin PASTE_YOUR_URL_HERE ## Upload your code to GitHub Git... - Source: dev.to / 19 days ago
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