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

有赞技术团队
有赞技术团队
小众软件
小众软件
The Cloudflare Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
博客园_首页
酷 壳 – CoolShell
酷 壳 – CoolShell
爱范儿
爱范儿
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
雷峰网
雷峰网
Jina AI
Jina AI
博客园 - 【当耐特】
V
Visual Studio Blog
美团技术团队
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
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
罗磊的独立博客
大猫的无限游戏
大猫的无限游戏
量子位
IT之家
IT之家
G
Google Developers Blog
V
V2EX
The GitHub Blog
The GitHub Blog
月光博客
月光博客
GbyAI
GbyAI

HN's home page

Rainbow Query Language | Hacker News Exec into Node via Kubectl An AI native hedge fund The Seven-Action Documentation Model | Hacker News Package Manager for Kubectl Plugins Tongan Castaways | Hacker News Tech overlords plan for conscious AI to conquer the cosmos. What could go wrong? Data Breach Disclosure Lag Is Getting Worse How LLMs Work | Hacker News I Dropped PRDs for Shape Up Go Experiments Explained | Hacker News FCA's Palantir deal could expose UK financial data to Trump's US, critics fear WebXR BCI for Neural-Adaptive Avatar Control in Mixed Reality The first murder conviction via DNA analysis Tom Interviews Theo de Raadt of the OpenBSD Project (2019) [video] Show HN: Replace shell commands with bun shell typescript scripts Quay.io Is Down | Hacker News AI driven analysis of brokerage account fees in the UK Bill Gates Spent Years Crafting His Image. Now It's Cracking Using LLMs to secure source code Wi-Fi 8 in the Lab [video] The household battery revolution that could change energy bills and the world Is Python Becoming Pinyin? | Hacker News Livia – Executive Assistant | Hacker News FindMyPipe – Query Apple Find My from Linux for AI Agents Show HN: Agent skill for creating product launch videos with Remotion RecruitMyself – AI job search copilot for resumes and applications AI coding agents and the erosion of system understanding The 'Resting' Generation and South Korea's Youth Recession AMD Computex 2026: 10 Years of AM4, AM5 Support Through 2029
Show HN: Morning Stack finds real job openings, tweaks re...
hillj23 · 2026-06-15 · via HN's home page

Job hunting sucks. That grind of digging through LinkedIn and Indeed, sifting through endless spammy emails from headhunters who try to get the biggest possible audience, clicking "Quick Apply" to silent response, and trying to figure out which of all of these jobs are even real. My wife hit all of this when she started job hunting a few months ago, so I built her a tool to take the worst part of it off her plate. It turned into this. Oh, and she got an offer letter from a major company in just shy of two and a half weeks. Now, she loves her job.

Morning Stack runs overnight. While my users sleep it works through the big job boards (and some niche ones), and then it tries to disprove every listing before it trusts one.

Is the job even real? - It opens the posting in a real browser (Playwright) and checks. There's no API scraping and we don't login to anything. Then, we resolve back to the company's own ATS page so you can apply directly to them. If it can't find it, the job is dropped.

Does it match what you asked for? - An LLM crosschecks the job description against your profile (Resume, Career Story, and Desired Roles, Comp Band, Geography and Benefits). The more specific you are, the less jobs you'll ultimately receive. That's kind of the point.

For the few surviving contenders, it tweaks your actual resume to the job description and drafts a cover letter for each. A separate verifier re-reads those against your actual resume, stripping any facts it can't support. We avoid AI-BS with a 3-strike rule: if it can't support a claim after three tries, it drops the job and moves on instead of shipping something fabricated.

By 7AM, you've got a small stack (up to 3) of real openings with finished packages.

- You see a little bit of good intel on each (company and job info, and any outliers like high-comp or unlimited PTO). - You review them to determine if you're interested. You polish and submit yourself on the company's most direct site.

That's it. It's your reputation; you control it. Here's a few things I deliberately did not build this for:

It never logs in to any of your actual accounts and it never auto-applies on your behalf. This is a really terrible trend in my opinion. I don't think it's working and I don't think people trust it. "Spray-and-pray" isn't the right fit for people who care about the outcome of their career and you will always be the one who submits under your own name.

Opening for a small beta cohort this week. There's a waitlist. The link is above.

Happy to get into the architecture or the ToS reasoning in the comments.