惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

J
Java Code Geeks
量子位
MongoDB | Blog
MongoDB | Blog
N
Netflix TechBlog - Medium
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
B
Blog
A
About on SuperTechFans
腾讯CDC
The GitHub Blog
The GitHub Blog
云风的 BLOG
云风的 BLOG
雷峰网
雷峰网
Last Week in AI
Last Week in AI
H
Help Net Security
WordPress大学
WordPress大学
博客园 - 司徒正美
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
H
Hackread – Cybersecurity News, Data Breaches, AI and More
T
Tailwind CSS Blog
博客园 - 【当耐特】
S
SegmentFault 最新的问题
美团技术团队
M
MIT News - Artificial intelligence
L
LangChain Blog
博客园 - 聂微东

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant
I built a smarter SMS client for Android in Flutter — no ...
Venkata Naje · 2026-05-21 · via DEV Community

Venkata Najeer

I got tired of Google Messages mixing my OTPs, bank alerts, and promo spam into one cluttered inbox. So I built my own.
Msgs is an open-source Android SMS client I've been developing in Flutter. No AI, no cloud — everything is parsed on-device using pattern matching and regex.

What's wrong with Google Messages?

Google Messages is polished, but its inbox is a mess if you get a lot of transactional SMS. OTPs, bank debits, and promotional spam all land in the same place. You have to hunt for what matters. Their "categories" tab exists but feels like an afterthought — and it doesn't give you any visual context for your transactions.

What Msgs does differently

🔑 OTP copying from notification
When an OTP arrives, Msgs detects the code and the service name instantly. You can copy it directly from the notification — no need to open the app or the message thread.

💳 Transactions shown separately
Bank credits and debits are extracted and displayed as visual summary cards — amount, account ending, and type (debit/credit) at a glance. Not buried in a thread with 200 other bank messages.

📢 Promotional messages are blocked
Promo SMS never reaches your main inbox. Messages filters them out automatically so your inbox only shows what matters.
No AI involved
Everything is done with on-device pattern matching. Fast, private, and it works offline. Your messages never leave your phone.
Material You design
Messages follows Material 3 with full dynamic color support — it picks up your wallpaper colors and adapts the entire UI. Light and dark mode included.

Tech behind it

Flutter with BLoC state management
Isar Database for fast local indexing and search
Pattern-based classifier — no ML model, no network calls
Clean feature-driven architecture

Current status
The app is still in active development. SMS reading, OTP detection, transaction cards, and chat all work. MMS is coming next.
⭐ If this sounds useful, check out the repo and drop a star:
👉 Github Repo