I

I made a web app that generates resumes and cover letters for free

Hacker News

I made a web app that generates resumes and cover letters for free

I wanted to share a project I've been working on since October '24. It's an AI-powered toolkit designed to help job seekers shorten their job hunt and advance their careers. The idea came from my own experiences and frustrations with the job application process, both as a job seeker and a hiring manager. I wanted to simplify and streamline how people present their skills and experiences to potential employers. By leveraging AI (GPT-4o), CareerCrate.io can generate tailored application materials in minutes, for free - no sign up required. I'm also developing some optional advanced features like Pursuit™, a tool for job seekers, and SkillForge™, a personalized skill development platform, which will be available with a Pro subscription ($9/month). I'm sharing this with the HN community to get your thoughts and feedback. I'm especially interested in how the AI performs in generating useful content and any suggestions on improving the tool. Please let me know what you think!

Share card

Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: personal, month · Missing: mobile apps, ios, entrepreneurs
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
24%24% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: subscription · Missing: arr, mrr, revenue
12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

JobJot AI
JobJot AI60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tailored Resumes, Dynamic Cover Letters.

Indie Hackers2ai
Up
Upplai – AI Feedback on Resumes and Cover Letters26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Upplai – AI Feedback on Resumes and Cover Letters

Hacker News7
Wi
Wireshark as a web app48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wireshark as a web app

Hacker News164
My
My first web app, DailyDo.it48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first web app, DailyDo.it

Hacker News142
My
My first web app - HakingPot48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first web app - HakingPot

Hacker News8
Ve
Vetter - please critique my first web app37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vetter - please critique my first web app

Hacker News17
My
My first web app trains your ears67%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My first web app trains your ears

Hacker News10
Be
BeepEvery - A web app that beeps to your will48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

BeepEvery - A web app that beeps to your will

Hacker News1
Su
SummerStageLove, my first web app in AngularJS and CoffeeScript43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SummerStageLove, my first web app in AngularJS and CoffeeScript

Hacker News11
My
My First Web App48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

My First Web App

Hacker News20