AI

AI resume screening tool that maximizes efficiency and ensures fairness

Hacker News

AI resume screening tool that maximizes efficiency and ensures fairness

Hi, we are Federico, Ignacio, and Guillermo, co-founders of Brainner ( https://www.brainner.ai ), an AI-powered resume screening tool that helps Talent Acquisition Professionals save up to 90% on initial screening tasks. We’ve observed that job applications have increased dramatically in recent years, with some positions attracting between 200 to 1,000 candidates. In January, we launched our MVP on Product Hunt, where it was featured as one of the products of the day. This initial success helped us gain traction and attract our first users. Initially, we aimed to build a brand-new AI ATS, but soon realized the challenge of convincing companies to switch from their existing software. So, we pivoted to making Brainner the best resume screening integration for top ATS platforms. We forged partnerships with leading ATS providers (e.g., Lever, Ashby), enabling us to launch our product on their marketplaces and onboard our first integration users. Their feedback was invaluable in refining Brainner into one of the most seamless ATS integrations for resume screening. This progress has led us to share our journey on Hacker News. Rather than just showcasing our product, we’d like to share our methodological approach to AI resume screening. Our goal was to design a process that maximizes efficiency while ensuring fairness for applicants. We achieved efficiency by integrating with top ATS platforms and leveraging AI to selectively automate tasks that typically require manual effort, but only in cases where bias would not be introduced. To ensure fairness, we maintain human oversight at the beginning (for input definition and calibration) and at the end of the process (providing tools for fair decision-making). We’d love to hear your feedback about our approach and any suggestions for improvement that you have. If you like our approach, we would love to meet the Talent Acquisition Director/Manager of your company to give them a demo of our product. They can schedule it using the following link: https://www.brainner.ai/demo

Share card

Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: maximize · Missing: supports, reddit linkedin, podcasting
95%95% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, tasks · Missing: mac, agents, macos
71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, lua, existing · Missing: https docs, excited, just released
41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, soon, users · Missing: plus, intuitive, reviews
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: introduce · 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

AI
AI Resume Kalibration Tool40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Resume Kalibration Tool

Hacker News1
HiringFast
HiringFast40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI CV and resume screening tool

Indie Hackers1$92/moai
Yotru
Yotru25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Yotru – AI Resume Builder for Screening-Ready Resumes

Indie Hackers
MoneticAI
MoneticAI19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI resume tailoring that never invents your experience

Indie Hackers
resylla
resylla28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

#1 AI resume coach

Indie Hackerscommitment-full-time
Renterscreeningnow
Renterscreeningnow26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Renter screening

Indie Hackerscommitment-side-project
Vitrix Health
Vitrix Health49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Oral Cancer Screening Tool

Indie Hackers1ai
Sk
Skillyst – AI Resume Analyzer to get more callbacks30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Skillyst – AI Resume Analyzer to get more callbacks

Hacker News1
TenxResume
TenxResume36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI Resume Optimization

Indie Hackerscommitment-side-project
I
I built a tool that reduces burnouts and increases efficiency37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I built a tool that reduces burnouts and increases efficiency

Hacker News1