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How to Build a Recruitment Platform with Replit

Build an internal Applicant Tracking System (ATS) in Replit using Express and PostgreSQL in 1-2 hours. You'll manage job postings, a Kanban-style candidate pipeline, interview scheduling, and pipeline history — a Greenhouse or Lever lite. Replit Auth handles recruiter logins and Autoscale handles deployment.

What you'll build

  • Job postings with department, type, salary range, and open/closed status management
  • Candidate database with source tracking, resume links, and cross-job application history
  • Kanban pipeline board with draggable application cards across stages: Applied, Screening, Interview, Offer, Hired, Rejected
  • Interview scheduler with interviewer assignment, feedback scores, and completion tracking
  • Pipeline history audit trail that logs every stage change with who moved the candidate and why
  • Reporting routes for time-to-hire averages and source effectiveness with hire rates
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Intermediate16 min read1-2 hoursReplit FreeApril 2026RapidDev Engineering Team
TL;DR

Build an internal Applicant Tracking System (ATS) in Replit using Express and PostgreSQL in 1-2 hours. You'll manage job postings, a Kanban-style candidate pipeline, interview scheduling, and pipeline history — a Greenhouse or Lever lite. Replit Auth handles recruiter logins and Autoscale handles deployment.

What you're building

A recruitment platform is an internal tool for your hiring team — a place to manage job openings, track candidates through interview stages, schedule interviews, and measure how efficiently you hire. Most teams start in spreadsheets, but lose track of candidate status, miss follow-ups, and can't measure their pipeline health. An ATS solves all three problems.

Replit Agent builds this as an Express backend with five tables and a Kanban-style React frontend. The core workflow is the pipeline stage system: each application moves through stages (Applied → Screening → Interview → Offer → Hired or Rejected), and every stage change is logged in pipeline_history with who made the change and when. This audit trail lets you calculate time-to-hire and identify where candidates drop off.

The most technically useful feature is the reporting layer. Two queries give you immediate hiring insights: time-to-hire (average days from application to hired status, by job) and source effectiveness (candidates by source with their hire rates). These queries run against the pipeline_history table, which is why logging every stage change matters. Replit Auth restricts the platform to authenticated users, and Autoscale handles the deployment — recruitment tools are used during business hours with predictable traffic patterns.

Final result

A fully functional ATS with job management, candidate pipeline Kanban, interview scheduling, pipeline audit history, and hiring analytics — running on your Replit PostgreSQL database.

Tech stack

ReplitIDE & Hosting
ExpressBackend Framework
PostgreSQLDatabase
Drizzle ORMDatabase ORM
Replit AuthAuth
SendGridTransactional Email

Prerequisites

  • A Replit account (Free tier is sufficient)
  • A SendGrid account (free tier) for rejection and interview invitation emails
  • Basic understanding of your hiring workflow — know what pipeline stages you use
  • SENDGRID_API_KEY added to Replit Secrets before deploying

Build steps

1

Scaffold the project with Replit Agent

Create a new Replit App and paste this prompt. Agent builds the complete ATS backend with all five tables, core routes, and a Kanban React frontend.

prompt.txt
1// Build a recruitment platform (ATS) with Express and PostgreSQL using Drizzle ORM.
2// Use Replit Auth for authentication.
3//
4// Tables:
5// 1. job_postings: id serial primary key, title text not null, department text,
6// description text not null, requirements text, location text,
7// type text default 'full_time' (enum: full_time/part_time/contract/remote),
8// salary_min integer, salary_max integer,
9// status text default 'draft' (enum: draft/open/closed), posted_by text not null,
10// created_at timestamp default now()
11// 2. candidates: id serial primary key, name text not null, email text unique not null,
12// phone text, resume_url text, linkedin_url text,
13// source text (enum: direct/referral/linkedin/indeed/other),
14// notes text, created_at timestamp default now()
15// 3. applications: id serial primary key,
16// job_posting_id integer references job_postings not null,
17// candidate_id integer references candidates not null,
18// stage text default 'applied' (enum: applied/screening/interview/offer/hired/rejected),
19// cover_letter text, applied_at timestamp default now(),
20// updated_at timestamp default now(), unique(job_posting_id, candidate_id)
21// 4. interviews: id serial primary key,
22// application_id integer references applications not null,
23// interviewer text not null, scheduled_at timestamp not null,
24// duration_minutes integer default 60,
25// type text default 'video' (enum: phone/video/onsite),
26// location text, feedback text, score integer (1-5),
27// status text default 'scheduled' (enum: scheduled/completed/cancelled),
28// created_at timestamp default now()
29// 5. pipeline_history: id serial primary key,
30// application_id integer references applications not null,
31// from_stage text, to_stage text not null,
32// changed_by text not null, notes text, created_at timestamp default now()
33//
34// Routes:
35// GET/POST /api/jobs, PATCH /api/jobs/:id/status
36// GET /api/jobs/:id/applications, POST /api/candidates
37// POST /api/applications, PATCH /api/applications/:id/stage
38// POST/GET /api/interviews, PATCH /api/interviews/:id/feedback
39// GET /api/pipeline/:jobId (Kanban — applications grouped by stage)
40// GET /api/reports/time-to-hire, GET /api/reports/source-effectiveness
41//
42// Bind to 0.0.0.0:3000.

Pro tip: After scaffolding, insert a test job posting and 3 test candidates via the API before building the frontend. Having sample data makes it much easier to verify the Kanban view renders correctly.

Expected result: Running Express app with all five tables. GET /api/jobs returns an empty array. The React frontend shows a nav with 'Jobs', 'Candidates', and 'Pipeline' sections.

2

Build the pipeline stage transition with audit logging

The PATCH /api/applications/:id/stage route is the most critical — it advances or moves back an application's stage, logs the change, and optionally sends emails.

server/routes/applications.js
1const express = require('express');
2const { db } = require('../db');
3const { applications, pipelineHistory, interviews } = require('../schema');
4const { eq, and } = require('drizzle-orm');
5const { withDbRetry } = require('../lib/retryDb');
6
7const router = express.Router();
8
9const VALID_STAGES = ['applied', 'screening', 'interview', 'offer', 'hired', 'rejected'];
10
11router.patch('/api/applications/:id/stage', express.json(), async (req, res) => {
12 if (!req.user) return res.status(401).json({ error: 'Login required' });
13 const { stage, notes } = req.body;
14
15 if (!VALID_STAGES.includes(stage)) {
16 return res.status(400).json({ error: `Invalid stage. Must be: ${VALID_STAGES.join(', ')}` });
17 }
18
19 const appId = parseInt(req.params.id);
20
21 // Get current application
22 const [app] = await db.select().from(applications)
23 .where(eq(applications.id, appId)).limit(1);
24 if (!app) return res.status(404).json({ error: 'Application not found' });
25
26 if (app.stage === stage) {
27 return res.status(400).json({ error: 'Application is already in this stage' });
28 }
29
30 // Update stage and log to pipeline_history atomically
31 await withDbRetry(async () => {
32 await db.update(applications)
33 .set({ stage, updatedAt: new Date() })
34 .where(eq(applications.id, appId));
35
36 await db.insert(pipelineHistory).values({
37 applicationId: appId,
38 fromStage: app.stage,
39 toStage: stage,
40 changedBy: req.user.id,
41 notes: notes || null,
42 });
43 });
44
45 return res.json({ id: appId, stage, movedFrom: app.stage });
46});
47
48// GET Kanban view — applications grouped by stage for a job
49router.get('/api/pipeline/:jobId', async (req, res) => {
50 if (!req.user) return res.status(401).json({ error: 'Login required' });
51 const jobId = parseInt(req.params.jobId);
52
53 const rows = await db.execute({
54 sql: `
55 SELECT a.id, a.stage, a.applied_at, a.updated_at,
56 c.id AS candidate_id, c.name, c.email, c.source,
57 c.linkedin_url, c.resume_url,
58 EXTRACT(DAY FROM NOW() - a.updated_at) AS days_in_stage,
59 COUNT(i.id) AS interview_count
60 FROM applications a
61 JOIN candidates c ON a.candidate_id = c.id
62 LEFT JOIN interviews i ON i.application_id = a.id
63 WHERE a.job_posting_id = $1
64 GROUP BY a.id, c.id
65 ORDER BY a.updated_at DESC
66 `,
67 params: [jobId],
68 });
69
70 // Group by stage for Kanban
71 const pipeline = {};
72 for (const stage of VALID_STAGES) pipeline[stage] = [];
73 for (const row of rows.rows) {
74 pipeline[row.stage]?.push(row);
75 }
76
77 return res.json({ jobId, pipeline });
78});
79
80module.exports = router;

Pro tip: Add automatic actions on specific stage transitions. Moving to 'interview' stage can auto-open the interview scheduling dialog in the frontend. Moving to 'rejected' can trigger a SendGrid rejection email — add the email send call after the pipeline_history insert.

Expected result: PATCH /api/applications/1/stage with {stage: 'interview'} moves the candidate and logs a pipeline_history row. GET /api/pipeline/1 returns applications grouped into six stage buckets.

3

Add interview scheduling and feedback

Interviews need to be scheduled, completed, and scored. This step adds the interview routes and the feedback capture that feeds into candidate ranking.

server/routes/interviews.js
1const express = require('express');
2const { db } = require('../db');
3const { interviews } = require('../schema');
4const { eq, and } = require('drizzle-orm');
5
6const router = express.Router();
7
8router.post('/api/interviews', express.json(), async (req, res) => {
9 if (!req.user) return res.status(401).json({ error: 'Login required' });
10 const { applicationId, interviewer, scheduledAt, durationMinutes, type, location } = req.body;
11
12 if (!applicationId || !interviewer || !scheduledAt) {
13 return res.status(400).json({ error: 'applicationId, interviewer, and scheduledAt are required' });
14 }
15
16 const row = await db.insert(interviews).values({
17 applicationId: parseInt(applicationId),
18 interviewer,
19 scheduledAt: new Date(scheduledAt),
20 durationMinutes: durationMinutes || 60,
21 type: type || 'video',
22 location: location || null,
23 }).returning();
24
25 return res.status(201).json(row[0]);
26});
27
28router.get('/api/interviews', async (req, res) => {
29 if (!req.user) return res.status(401).json({ error: 'Login required' });
30 const { applicationId } = req.query;
31
32 const rows = await db.select().from(interviews)
33 .where(applicationId ? eq(interviews.applicationId, parseInt(applicationId)) : undefined)
34 .orderBy(interviews.scheduledAt);
35
36 return res.json({ interviews: rows });
37});
38
39router.patch('/api/interviews/:id/feedback', express.json(), async (req, res) => {
40 if (!req.user) return res.status(401).json({ error: 'Login required' });
41 const { feedback, score, status } = req.body;
42
43 if (score && (score < 1 || score > 5)) {
44 return res.status(400).json({ error: 'Score must be 1-5' });
45 }
46
47 const updated = await db.update(interviews)
48 .set({
49 feedback: feedback || null,
50 score: score ? parseInt(score) : null,
51 status: status || 'completed',
52 })
53 .where(eq(interviews.id, parseInt(req.params.id)))
54 .returning();
55
56 if (!updated[0]) return res.status(404).json({ error: 'Interview not found' });
57 return res.json(updated[0]);
58});
59
60module.exports = router;

Expected result: POST /api/interviews creates a scheduled interview. PATCH /api/interviews/1/feedback with {score: 4, feedback: 'Strong communicator', status: 'completed'} updates the interview record.

4

Add the hiring analytics reports

Two SQL queries turn your pipeline_history data into actionable hiring metrics: time-to-hire by job and source effectiveness showing which channels produce the most hires.

server/routes/reports.js
1const express = require('express');
2const { db } = require('../db');
3
4const router = express.Router();
5
6// Average days from application to hired, by job
7router.get('/api/reports/time-to-hire', async (req, res) => {
8 if (!req.user) return res.status(401).json({ error: 'Login required' });
9
10 const result = await db.execute({
11 sql: `
12 SELECT
13 jp.id AS job_id,
14 jp.title AS job_title,
15 COUNT(a.id) AS hired_count,
16 ROUND(AVG(
17 EXTRACT(DAY FROM ph_hired.created_at - a.applied_at)
18 )) AS avg_days_to_hire
19 FROM applications a
20 JOIN job_postings jp ON a.job_posting_id = jp.id
21 JOIN pipeline_history ph_hired
22 ON ph_hired.application_id = a.id
23 AND ph_hired.to_stage = 'hired'
24 WHERE a.stage = 'hired'
25 GROUP BY jp.id, jp.title
26 ORDER BY avg_days_to_hire ASC
27 `,
28 params: [],
29 });
30
31 return res.json({ report: result.rows });
32});
33
34// Candidates by source with hire rates
35router.get('/api/reports/source-effectiveness', async (req, res) => {
36 if (!req.user) return res.status(401).json({ error: 'Login required' });
37
38 const result = await db.execute({
39 sql: `
40 SELECT
41 c.source,
42 COUNT(DISTINCT c.id) AS total_candidates,
43 COUNT(DISTINCT CASE WHEN a.stage = 'hired' THEN c.id END) AS hired,
44 COUNT(DISTINCT CASE WHEN a.stage = 'rejected' THEN c.id END) AS rejected,
45 ROUND(
46 100.0 * COUNT(DISTINCT CASE WHEN a.stage = 'hired' THEN c.id END)
47 / NULLIF(COUNT(DISTINCT c.id), 0)
48 ) AS hire_rate_pct
49 FROM candidates c
50 LEFT JOIN applications a ON a.candidate_id = c.id
51 GROUP BY c.source
52 ORDER BY hire_rate_pct DESC NULLS LAST
53 `,
54 params: [],
55 });
56
57 return res.json({ report: result.rows });
58});
59
60module.exports = router;

Pro tip: Add a date range filter to both report routes with ?startDate= and ?endDate= query params — this lets you compare this quarter's hiring performance against last quarter.

Expected result: GET /api/reports/time-to-hire returns average days per job. GET /api/reports/source-effectiveness shows hire rates by candidate source (LinkedIn, referral, etc.).

5

Build the Kanban pipeline React frontend

Ask Agent to build the Kanban board and candidate detail panel — the main interface recruiters use daily.

prompt.txt
1// Ask Agent to build the React frontend with this prompt:
2// Build a React ATS frontend with these pages:
3//
4// 1. Jobs List page (/):
5// - Table of job_postings with columns: Title, Department, Type, Salary Range,
6// Status badge (draft=gray, open=green, closed=red), Application Count
7// - 'Create Job' button opens a modal form
8// - Click job row navigates to the Pipeline page for that job
9// - Status toggle button: open <-> closed
10//
11// 2. Pipeline Kanban page (/jobs/:id/pipeline):
12// - Fetch GET /api/pipeline/:jobId
13// - Six columns: Applied, Screening, Interview, Offer, Hired, Rejected
14// - Each column has a count badge and a scrollable list of candidate cards
15// - Candidate card shows: name, source badge, days-in-stage indicator
16// (orange if >7 days, red if >14 days), interview count badge
17// - Drag card between columns calls PATCH /api/applications/:id/stage
18// - Click card opens the Candidate Detail panel
19//
20// 3. Candidate Detail panel (right-side sheet):
21// - Shows: name, email, phone, source, resume link, LinkedIn link
22// - Application history across all jobs as a timeline
23// - Interview list with scheduled time, interviewer, score (star display)
24// - 'Add Interview' button opens scheduling dialog
25// - 'Add Note' textarea that updates candidate notes
26// - Pipeline history timeline showing stage changes with timestamps
27//
28// 4. Reports page (/reports):
29// - Two sections: Time to Hire (bar chart by job) and Source Effectiveness (table)
30// - Bar chart uses recharts BarChart
31//
32// Use React Router and Replit Auth login gate.

Expected result: The Kanban board renders six columns. Dragging a card calls PATCH /api/applications/:id/stage. The Candidate Detail panel shows interview history and pipeline timeline.

Complete code

server/routes/applications.js
1const express = require('express');
2const { db } = require('../db');
3const { applications, pipelineHistory, candidates } = require('../schema');
4const { eq, and } = require('drizzle-orm');
5const { withDbRetry } = require('../lib/retryDb');
6
7const router = express.Router();
8const VALID_STAGES = ['applied', 'screening', 'interview', 'offer', 'hired', 'rejected'];
9
10router.post('/api/applications', express.json(), async (req, res) => {
11 if (!req.user) return res.status(401).json({ error: 'Login required' });
12 const { jobPostingId, candidateId, coverLetter } = req.body;
13 if (!jobPostingId || !candidateId) {
14 return res.status(400).json({ error: 'jobPostingId and candidateId are required' });
15 }
16 const row = await withDbRetry(() =>
17 db.insert(applications).values({
18 jobPostingId: parseInt(jobPostingId),
19 candidateId: parseInt(candidateId),
20 coverLetter: coverLetter || null,
21 }).returning()
22 );
23 return res.status(201).json(row[0]);
24});
25
26router.patch('/api/applications/:id/stage', express.json(), async (req, res) => {
27 if (!req.user) return res.status(401).json({ error: 'Login required' });
28 const { stage, notes } = req.body;
29 if (!VALID_STAGES.includes(stage)) {
30 return res.status(400).json({ error: `Invalid stage. Must be: ${VALID_STAGES.join(', ')}` });
31 }
32 const appId = parseInt(req.params.id);
33 const [app] = await db.select().from(applications)
34 .where(eq(applications.id, appId)).limit(1);
35 if (!app) return res.status(404).json({ error: 'Application not found' });
36 if (app.stage === stage) {
37 return res.status(400).json({ error: 'Already in this stage' });
38 }
39 await withDbRetry(async () => {
40 await db.update(applications)
41 .set({ stage, updatedAt: new Date() })
42 .where(eq(applications.id, appId));
43 await db.insert(pipelineHistory).values({
44 applicationId: appId,
45 fromStage: app.stage,
46 toStage: stage,
47 changedBy: req.user.id,
48 notes: notes || null,
49 });
50 });
51 return res.json({ id: appId, stage, previousStage: app.stage });
52});
53
54router.get('/api/pipeline/:jobId', async (req, res) => {
55 if (!req.user) return res.status(401).json({ error: 'Login required' });
56 const result = await db.execute({
57 sql: `SELECT a.id, a.stage, a.applied_at, a.updated_at,
58 c.id AS candidate_id, c.name, c.email, c.source, c.resume_url,
59 EXTRACT(DAY FROM NOW() - a.updated_at) AS days_in_stage
60 FROM applications a JOIN candidates c ON a.candidate_id = c.id
61module.exports = router;

Customization ideas

Automated rejection emails

When an application is moved to 'rejected' stage, automatically send a rejection email via SendGrid using a customizable template. Store SENDGRID_API_KEY in Replit Secrets and call the API in the stage transition handler.

Candidate scoring matrix

Add a criteria_scores table where interviewers rate candidates on predefined dimensions (technical skill, communication, culture fit). Calculate an aggregate weighted score per candidate for objective comparison in the offer stage.

Job posting public page

Add a public GET /jobs/:id endpoint that renders job details without auth. Include an 'Apply' form that creates a candidate + application via POST /api/applications without requiring login — perfect for embedding on your company website.

Bulk import candidates from CSV

Add a POST /api/candidates/import route that accepts a CSV file with name, email, phone, and source columns. Parse with csv-parse npm package, bulk insert into candidates, and return a summary of how many were added vs duplicate emails skipped.

Common pitfalls

Pitfall: Not logging pipeline stage changes in pipeline_history

How to avoid: Always insert a pipeline_history row inside the same transaction as the application stage update. If the history insert fails, roll back the stage update too — use withDbRetry wrapping both operations.

Pitfall: Missing the unique constraint on applications(job_posting_id, candidate_id)

How to avoid: The schema includes unique(job_posting_id, candidate_id). On duplicate application attempts, the POST /api/applications route gets a unique violation error — return 409 Conflict with a helpful message.

Pitfall: Forgetting to add SENDGRID_API_KEY to Deployment Secrets

How to avoid: After testing locally, open the Publish pane → Secrets, add SENDGRID_API_KEY with the same value. Redeploy to activate.

Pitfall: Loading all candidate data for the Kanban view in one query

How to avoid: The /api/pipeline/:jobId route returns only the minimal fields needed for Kanban cards (name, source, days_in_stage, interview_count). Load full candidate details only when a specific card is clicked.

Best practices

  • Log every stage transition in pipeline_history — this is the source of truth for time-to-hire reports and hiring process audits.
  • Use the unique constraint on job_posting_id + candidate_id to prevent duplicate applications at the database level, not just in application logic.
  • Store resume files in a cloud storage service (AWS S3, Cloudflare R2) and only save the URL in Replit's PostgreSQL — binary files eat through the 10GB limit quickly.
  • Use Drizzle Studio (Database tab in Replit sidebar) to inspect pipeline_history during development and verify stage transitions are being recorded correctly.
  • Add the days_in_stage calculation in the Kanban query (EXTRACT(DAY FROM NOW() - updated_at)) and highlight cards with red/orange badges when candidates have been waiting too long.
  • Deploy on Autoscale — recruitment tools have predictable business-hours usage patterns and cold starts of 10-30 seconds are acceptable for a tool recruiter teams check a few times per day.
  • Use Replit Auth roles if multiple recruiters need different access — senior recruiters can make offers, junior recruiters can only move to screening/interview stages.

AI prompts to try

Copy these prompts to build this project faster.

ChatGPT Prompt

I'm building a recruitment ATS with Express and PostgreSQL using Drizzle ORM. I have applications, pipeline_history, candidates, and job_postings tables. Help me write two reporting queries: (1) time-to-hire per job — average days from applied_at to the pipeline_history row where to_stage='hired', grouped by job_posting_id with job title; (2) source effectiveness — candidates by source with total count, hired count, rejected count, and hire rate percentage. Both queries should handle jobs with no hired candidates by returning null or 0 for those metrics.

Build Prompt

Add email automation to the recruitment platform. When an application moves to 'interview' stage, automatically send a calendar invite email to the candidate via SendGrid. When moving to 'rejected', send a rejection email. Build a GET /api/email-templates route that returns customizable templates stored in an email_templates table (id, stage text, subject text, body_html text with {{candidate_name}} and {{job_title}} placeholders). Build a PUT /api/email-templates/:stage route for recruiters to update templates. In the PATCH /api/applications/:id/stage handler, after logging to pipeline_history, check if an email template exists for the new stage, render it with actual values, and call SendGrid. Store SENDGRID_API_KEY in Replit Secrets.

Frequently asked questions

How is this different from a public job board?

A recruitment platform is an internal tool — only your hiring team uses it. It manages the full candidate lifecycle from application through hire, with pipeline tracking and reporting. A job board is public-facing and lets job seekers browse listings and submit applications. The job-board build guide covers that pattern.

Can multiple recruiters use this at the same time?

Yes. Replit Auth supports multiple users, and the pipeline_history table records which user made each stage change. For larger teams, add a role column to track which recruiters can make offers (senior) vs. just move applications to screening (junior) — use a middleware check before the PATCH /api/applications/:id/stage handler.

How do I handle resume file uploads?

Store resume files in cloud storage (AWS S3 or Cloudflare R2) and save only the URL in the candidates table. Never store binary files in Replit's PostgreSQL — a single 5MB PDF eats into the 10GB database limit quickly. Use the multer npm package for file handling and upload to S3 using the AWS SDK.

What Replit plan do I need?

Free tier is sufficient. Autoscale deployment is included, PostgreSQL is free with 10GB storage, and Replit Auth is built-in. The only external cost is SendGrid (free tier: 100 emails/day — more than enough for a small hiring team).

Can I use this for contractor or freelance hiring, not just full-time?

Yes. The job_postings table has a type column with enum values including 'contract'. You can add additional types (freelance, internship) by updating the enum constraint in the schema. The pipeline stages work identically for all employment types.

Should I deploy on Autoscale or Reserved VM?

Autoscale works well for a recruitment platform. Your team uses it during business hours with predictable patterns — the cold start of 10-30 seconds is acceptable when checking the pipeline a few times per day. Reserved VM makes sense only if you need the webhook from a job board integration (like LinkedIn application notifications).

Can RapidDev help build a custom ATS for my company's hiring workflow?

Yes. RapidDev builds custom recruitment tools with advanced features like resume parsing, video interview links, offer letter generation, and HRIS integrations. We've built hiring platforms for 600+ companies. Free consultation available.

How do I prevent duplicate applications for the same candidate and job?

The applications table has a unique constraint on (job_posting_id, candidate_id). If you try to insert a duplicate, PostgreSQL throws a unique violation error. In the POST /api/applications handler, catch this error and return a 409 Conflict response with 'Candidate already applied to this job'.

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