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

P
Proofpoint News Feed
云风的 BLOG
云风的 BLOG
Apple Machine Learning Research
Apple Machine Learning Research
Hugging Face - Blog
Hugging Face - Blog
OSCHINA 社区最新新闻
OSCHINA 社区最新新闻
Google DeepMind News
Google DeepMind News
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
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
B
Blog
月光博客
月光博客
博客园 - 【当耐特】
WordPress大学
WordPress大学
Microsoft Azure Blog
Microsoft Azure Blog
I
InfoQ
The GitHub Blog
The GitHub Blog
Engineering at Meta
Engineering at Meta
Jina AI
Jina AI
博客园 - Franky
MyScale Blog
MyScale Blog
H
Hackread – Cybersecurity News, Data Breaches, AI and More
Last Week in AI
Last Week in AI
B
Blog RSS Feed
H
Help Net Security

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 got tired of sending resumes into the void, so I built ...
Farhan Khan · 2026-05-30 · via DEV Community
Cover image for I got tired of sending resumes into the void, so I built an AI resume tailoring tool

Farhan Khan

Applying to jobs is honestly one of the most frustrating parts of career growth.

You spend time fixing your resume, submit it to dozens of roles, and then… nothing.

No rejection.
No feedback.
No interview.
Just silence.

A lot of people assume their resume is “bad,” but the problem is usually more specific:

The resume is not matched to the job description
Important keywords are missing
Bullet points are too generic
The resume is not ATS-friendly
The strongest experience is buried or worded weakly

That is why I started building [APP NAME].

It helps job seekers upload their resume and a job description, then finds ATS issues, missing keywords, weak bullet points, and ways to tailor the resume for that exact role.

The goal is simple:

Stop sending 100 generic resumes. Start sending better targeted ones.

What the app does

Right now, the main flow is:

Upload your resume
Paste or upload a job description
Get feedback on ATS issues, missing keywords, and weak bullets
Generate a more tailored version for that specific job
Use the improved version to apply with more confidence

I wanted it to feel less like a boring resume checker and more like a practical job application assistant.

Why I built it

Most resume tools either feel too generic or too complicated.

I wanted something that gives direct answers like:

“This bullet is too vague”
“This job asks for customer service, but your resume barely mentions it”
“You should move this experience higher”
“This bullet should include a stronger action verb and measurable result”
“Your resume is missing keywords from the job post”

Basically, I wanted the kind of feedback you wish a recruiter or career coach would give before you apply.

What I am still improving

I am still working on making the tailoring better, especially around:

Cleaner bullet point rewrites
Better keyword matching
Stronger ATS scoring
Job-specific resume suggestions
A smoother upload experience
Better UI for comparing the original vs tailored resume

I am also trying to make sure the app does not just stuff keywords randomly, because that makes resumes look fake. The goal is to make the resume more relevant while still sounding natural and honest.

Looking for feedback

I would really appreciate feedback from developers, students, job seekers, and anyone who has dealt with job applications recently.

I am especially curious about:

What would make you trust a resume tailoring tool?
Would you rather get suggestions first or instantly generate a tailored resume?
What resume problems do you see the most?
What would make this actually useful instead of just another AI tool?

Here is the app:

https://applyboostai.com/

Would love any honest feedback, feature ideas, or UI suggestions.