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

aimingoo的专栏
aimingoo的专栏
宝玉的分享
宝玉的分享
J
Java Code Geeks
Martin Fowler
Martin Fowler
博客园 - Franky
I
InfoQ
Stack Overflow Blog
Stack Overflow Blog
Blog — PlanetScale
Blog — PlanetScale
S
SegmentFault 最新的问题
B
Blog
The Cloudflare Blog
F
Fortinet All Blogs
量子位
腾讯CDC
博客园 - 司徒正美
D
Docker
大猫的无限游戏
大猫的无限游戏
Microsoft Azure Blog
Microsoft Azure Blog
T
The Blog of Author Tim Ferriss
V
Visual Studio Blog
IT之家
IT之家
Last Week in AI
Last Week in AI
D
DataBreaches.Net
小众软件
小众软件

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 Mac app that turns web pages into live widgets
Levine · 2026-05-21 · via DEV Community

Levine

I'm the developer of Kepo, a Mac app I started building because I kept checking the same web pages over and over again.

Product Hunt launches. Reddit threads. GitHub releases. YouTube channels. Docs. Small dashboards. Status pages.

Each check only takes a few seconds, but the workflow is surprisingly expensive:

  1. switch back to the browser
  2. find the right tab
  3. refresh or scroll
  4. read one small piece of information
  5. switch back to what I was doing

After repeating this enough times, I started wondering if some web pages should not be tabs at all. Some of them feel more like small pieces of state that should sit closer to the desktop.

That was the starting point for Kepo.

The product idea

Kepo turns web pages into live Mac desktop widgets.

The goal is not to recreate a whole browser inside a widget. The goal is to take the part of a page that you repeatedly care about and make it available in a small, glanceable interface.

For example:

  • today's Product Hunt launches
  • a Reddit thread you are following
  • GitHub releases or issues
  • a YouTube channel update
  • a docs page section
  • a small internal dashboard
  • a checklist, timer, formatter, or monitor

Kepo lives in a floating desktop panel that can be opened with a shortcut, closer to the way Raycast fits into a developer workflow. You bring it up, check or use a widget, then go back to your work.

The tricky part: web pages are not APIs

At first, this sounded simple: take part of a page and render it as a widget.

In practice, web pages are messy.

A page can depend on login state. It can lazy-load content. The DOM can change. Some sites expose a feed or API, while others only expose rendered HTML. Some pages are stable enough to parse directly, while others need a browser context to understand what the user actually sees.

So the hard part is not only "extract data from a page".

The harder questions are:

  • what is the smallest useful version of this page?
  • what should happen when the page fails to load?
  • how often should it refresh?
  • what information should be hidden in a small widget?
  • when should the widget open the original page instead of trying to replicate it?

This is where I started thinking of widgets less as small UIs and more as small contracts.

A good widget has a clear promise: "I will show you this specific piece of information in this specific shape, without forcing you to open the full page every time."

Where AI fits

Kepo includes an AI creation flow. You can point it at a page and ask it to build a widget from it.

AI is useful here because the first version of a widget is often structural work:

  • inspect the page
  • decide which data matters
  • sketch the UI
  • generate the widget code
  • adjust the layout for small sizes

But I do not think AI removes the design problem.

The human part is still deciding what the widget should mean. For a Product Hunt page, do you want the full feed, the top launches, vote counts, comments, or just a launch checklist? For a GitHub page, do you want releases, issues, pull requests, or a status monitor?

AI can help build the first version faster. It cannot automatically know what deserves to stay on your desktop.

Making it useful for developers

I also did not want custom widget creation to be locked entirely behind the built-in AI flow.

So Kepo has a free Skills-based development path for developers who already use local coding agents like Claude Code or Codex.

You can install the Skill with:

npx skills add Enivel/kepo-plugin-dev-skill

Enter fullscreen mode Exit fullscreen mode

That lets developers build and run custom widgets locally. The built-in AI creation flow is paid, but the Skills path is free to use.

This makes the product feel closer to a small desktop platform than a fixed widget gallery. There are ready-to-use widgets, but developers can also build their own.

What I am still trying to figure out

The biggest open question is not whether the technology works. It is where this belongs in a developer's daily workflow.

Some widgets clearly make sense:

  • CI status
  • server health
  • GitHub releases
  • launch pages
  • docs snippets
  • feed monitors
  • small local tools

Other cases probably still belong in the browser.

That boundary is what I am trying to learn from real users.

If you are a developer, what web page would you actually want to turn into a desktop widget?

Not in a "this looks cool" way, but in a "I check this often enough that I would save time if it lived one shortcut away" way.