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Lucres AI

Lucres AI

Lucres AI runs the whole hiring process—sourcing, applying, and screening—through a chat-based AI agent.

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39%ENGAGEMENTGrowing
HR & RecruitingFreewhatsappindeedlinkedinglassdoor
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About this agent

Lucres AI is an AI-powered recruitment agent designed to automate both sides of the hiring process.

For job seekers, Lucres can search for relevant opportunities across job boards and company career pages, match roles to their profile, and apply on their behalf.

For recruiters, Lucres provides an AI hiring agent that can search a large candidate pool, identify relevant candidates, draft personalized outreach, and assist with screening.

Instead of requiring users to constantly switch between job portals, recruiting platforms, forms, spreadsheets, and dashboards, Lucres brings these workflows into a conversational AI experience.

What Does Lucres AI Do?

Lucres AI focuses on automating the repetitive parts of job searching and recruitment.

For Job Seekers

Users can provide their resume and job preferences once. Lucres then searches for relevant opportunities across company career pages and job platforms and can apply on the user's behalf.

The current Lucres site says its agent monitors 100,000+ company career pages alongside platforms including Indeed, LinkedIn, Naukri, Wellfound, and Glassdoor.

For Recruiters

Recruiters can use Lucres to search a large candidate pool based on skills, location, and open-to-work signals.

The platform states that its hiring agent can search 900M+ candidate profiles, create shortlists, draft personalized outreach, and assist with screening.

Key Features

AI Job Search

Lucres continuously searches for relevant job opportunities based on a user's profile and preferences.

Automated Job Applications

The AI agent can apply to matching positions on the user's behalf, reducing repetitive application work.

Multi-Platform Job Discovery

Lucres aggregates opportunities from company career pages and major job platforms, including Indeed, LinkedIn, Naukri, Wellfound, and Glassdoor.

Resume-Based Matching

Users provide their resume and profile information, allowing Lucres to identify roles that match their skills and experience.

AI Hiring Agent

Recruiters can use Lucres to search for candidates and manage parts of the sourcing and screening process through an AI agent.

Candidate Search

Recruiters can search candidates based on:

  • Skills

  • Location

  • Experience

  • Open-to-work signals

  • Profile information

Candidate Shortlisting

The agent helps identify candidates who match the requirements of a role.

Personalized Outreach

Lucres can draft personalized outreach messages for shortlisted candidates.

AI Screening

The platform supports screening candidates as part of its recruitment workflow.

Conversational Interface

Lucres is designed around an AI agent that users interact with through conversation rather than navigating multiple traditional dashboards and forms.

WhatsApp Access

Lucres has also positioned its job-search agent around WhatsApp, allowing job seekers to interact with the service through chat.

Application Tracking

Lucres provides an application-tracking capability for job seekers.

How Lucres AI Works

For Job Seekers

Step 1 — Share your profile

Upload or provide your resume and career preferences.

Step 2 — Lucres finds opportunities

The AI searches across supported job sources and company career pages.

Step 3 — AI matches jobs

Lucres identifies positions that match the candidate's skills and preferences.

Step 4 — Apply

The agent can apply to matching jobs on the user's behalf.

Step 5 — Track applications

Users can track the applications generated through the platform.

For Recruiters

Step 1 — Define the role

Provide the requirements for the position.

Step 2 — Search candidates

Lucres searches its candidate pool based on relevant criteria.

Step 3 — Shortlist

The agent identifies candidates that match the role.

Step 4 — Outreach

Lucres can draft personalized outreach for shortlisted candidates.

Step 5 — Screen

The agent can assist with screening candidates and moving qualified prospects through the recruitment process.

Who Is Lucres AI For?

Job Seekers

Lucres is useful for people who want to reduce the repetitive work involved in searching and applying for jobs.

Suitable for:

  • Fresh graduates

  • Software developers

  • Product managers

  • Designers

  • Marketing professionals

  • Sales professionals

  • Remote workers

  • Experienced professionals

  • International job seekers

  • People actively searching for new roles

Recruiters

Recruiters can use Lucres to automate parts of sourcing and candidate engagement.

Suitable for:

  • Internal recruiting teams

  • Startup recruiters

  • HR teams

  • Talent acquisition teams

  • Recruitment agencies

  • Hiring managers

  • Growing companies

Main Use Cases

Job Search Automation

Automatically discover relevant jobs instead of manually searching multiple job boards.

Auto-Apply

Allow an AI agent to handle repetitive job applications.

Candidate Sourcing

Search for potential candidates based on skills, location, and other criteria.

Candidate Outreach

Generate personalized messages for prospective candidates.

Recruitment Screening

Assist with evaluating and screening potential candidates.

Global Job Search

Discover opportunities across multiple countries and job platforms.

Resume-Based Matching

Match candidate profiles against job requirements.

Recruitment Workflow Automation

Automate repetitive tasks across the recruitment process.

What Makes Lucres Different?

Agent-first recruitment

Lucres is positioned around an AI agent rather than simply another job board.

Two-sided platform

It serves both job seekers and recruiters.

Conversational experience

The current product emphasizes interacting with the agent through chat rather than relying exclusively on traditional dashboards and forms.

Automated applications

The job-seeker agent can apply to matching jobs on the user's behalf.

Large candidate discovery

Lucres currently advertises access to a candidate pool of more than 900 million profiles.

Large job coverage

The current website advertises more than 50 million indexed open roles and monitoring of 100,000+ company career pages.

Pros

  • AI-first recruitment workflow

  • Automates repetitive job searching

  • Supports automated job applications

  • Searches across multiple job sources

  • Conversational interface

  • Candidate sourcing for recruiters

  • Personalized candidate outreach

  • Candidate screening capabilities

  • Supports both job seekers and recruiters

  • WhatsApp-based interaction

  • Application tracking

Limitations

  • Automated applications may not be appropriate for every job or application process.

  • Matching quality depends on the accuracy and completeness of the user's profile and resume.

  • Job availability and supported sources can change.

  • Candidate databases and contact information may have coverage limitations.

  • Users should review how much control they want to delegate to an automated application agent.

Official Links

Website: Lucres AI

Main Lucres website: Lucres

Company LinkedIn: Lucres on LinkedIn

Why it was built

Job searching and recruiting both involve large amounts of repetitive work. Job seekers may need to search multiple platforms, repeatedly enter the same information, customize applications, and keep track of submissions. Recruiters face a similar problem from the other side: sourcing candidates, reviewing profiles, sending outreach, and screening applicants can consume significant amounts of time. Lucres attempts to solve this by placing an AI agent between the user and the recruitment ecosystem. Instead of manually performing every step, users can communicate their goals to the agent and allow it to perform parts of the process automatically.

FAQs

No, Lucres AI is a paid service and does not offer a free tier.

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Quick Facts

PricingFree
VerifiedSep 23, 2026
ListedSep 17, 2026
Views8
Upvotes2
Comments0
⭐ Rating5.0 / 5 (1)

Verified Owner

S

suhasbonageri

✓ Official

Originally submitted by

A@agentHunter

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