How to build an applicant tracking system with Claude Code
Build a hiring system shaped around how your team already hires. Candidates apply, your team screens them on one shared pipeline, interviewers fill in the same scorecard, and offers go out as signed PDFs. Describe it in plain words and Claude Code writes the schema, the per-job access rules, and every screen on top of them.
Claude Code
$ Build an applicant tracking system where candidates apply to open roles, my team moves them through a shared pipeline, interviewers leave structured scorecards, and offers go out as signed PDFs, with access scoped per job, not just per role.
- Schema and pipeline designed
- Access rules written per job
- Ready for you to review
What an applicant tracking system actually is
An applicant tracking system is the single place a role lives from the day it opens to the day someone signs: every applicant, every interview note, every decision, and who is allowed to see which of them.
Without one, a role is scattered across an inbox, a shared drive of resumes, and a spreadsheet somebody renames every Friday. Two people interview the same candidate and neither reads the other’s notes. A promising applicant goes three weeks without a reply because nobody owned the reply. An ATS pulls all of it into one record per candidate that the whole hiring team works from.
Two things make this genuinely hard, and neither is the screens. One is the permission model, where a hiring manager should see their own roles and not the compensation discussion on someone else’s. The other is that a candidate is not the same thing as an application, because one person can apply to three roles and be at a different stage in each. Get those two right and the rest of the system is mostly forms and lists on top.
One record, many readers
A recruiter, a hiring manager, and three interviewers all touch the same candidate. They need different views of it, and different permission to change it, without anyone keeping a private copy in their own notes.
A candidate is not an application
The person exists once. Their application to a specific role exists per role, with its own stage, its own scorecards, and its own outcome. Modelling those as one table is the mistake that costs a rewrite later.
Access is per job, not just per role
Job title is too blunt a permission. A hiring manager for one opening has no business reading the pipeline for a role in another department, and confidential searches need to be invisible rather than merely uninteresting.
What a bad process costs
~$4,700
is the average cost of a single hire, per SHRM’s benchmarking data as published in 2022, money that is spent whether or not the process that spent it was organised.
SHRM, 2022 (The Real Costs of Recruitment) · checked August 2026
The parts every applicant tracking system is built from
Before you build, it helps to know the pieces. Almost every ATS comes down to these six, and each one is something you can ask your AI coding tool to build or extend in plain words.
Roles, candidates, and applications
A job opening, a person, and that person’s application to that opening: three separate things that get confused constantly. Model them separately and someone can apply to two roles without their history in one overwriting the other.
A pipeline everyone reads the same way
Named stages a candidate moves through, with the move recorded rather than implied. When someone asks why a candidate is still in screening, the answer is on the record instead of in somebody’s memory.
A public way to apply
A careers page listing open roles and a form that takes an application without an account. This is the one part of the system strangers touch, so it has to work on a phone and it has to not lose a file.
Interviews and structured scorecards
Scheduling that produces a real calendar invite, and the same set of questions for every interviewer on a panel. Structured feedback is what makes two interviewers comparable rather than two opinions.
Offers, approvals, and a signature
An offer usually needs someone else to approve it before it goes out, then arrives as a document the candidate signs. Both halves belong in the system, or they end up back in email.
Reporting that answers “where is this role?”
How many candidates sit at each stage, how long they have been there, and where people drop out. Without it, a stalled search looks exactly like a healthy one until someone asks.
Own your hiring system or rent it every month
Most teams reach for a hosted ATS, then discover the tier with scorecards is two steps above the price they were quoted. Owning the system changes that arithmetic. Here is the trade-off, side by side.
Build your own
Your own hiring system is a one-time build shaped around the process your team already uses, and with an AI coding tool writing the plumbing, that build is days rather than a quarter.
- Pay to build it once, then only your own infra bills: no monthly subscription that grows with headcount
- Stages, scorecard questions, and approval chains that match how you actually hire
- Add every colleague as a user without moving up a tier to do it
- Candidate data sits in a database you control, which matters more here than in most tools
- Add your own AI on the model you pick: resume parsing, screening summaries, interview questions
- Full ownership of the code and data: export anytime, zero lock-in
Buy a hosted ATS
Workable · Greenhouse · Ashby · Breezy HRA hosted ATS is running this afternoon and someone else keeps it up. The costs are that the features you want are often gated a tier or two above the advertised price, and the process is theirs to define.
- Live in minutes: sign up and start, nothing to build or host
- Job-board distribution, sourcing extensions, and compliance reporting come built in
- Support, onboarding, and someone to call when it breaks
- Priced per company or per employee band rather than per seat, so the bill tracks how big you are, not how much hiring you do
- The features this template treats as core (scorecards, e-signature, offer management) are frequently mid or top-tier
- Two of the four vendors below publish no price at all above their entry tier
- Your candidates’ personal data lives on their servers under their retention rules
Priced per company against an employee-count selector, not per seat. The figures here are the 1-20 employee band the page opens on, and no price is published for the larger bands the same selector offers. Annual billing is quoted as a yearly total with a stated 20% saving. Watch the add-ons on Standard, which are what the sticker price leaves out: Texting+ $89/mo, Video interviews+ $109/mo, Assessments+ $59/mo, Performance & Engagement+ $39/mo, all bundled in from Premier up. The 15-day trial covers the Standard feature set but not Workable Agent.
workable.com · checked August 2026
Three named tiers and not one dollar figure anywhere on the page. Every button is “Get a demo”. Greenhouse’s own FAQ explains why, verbatim: “The cost of Greenhouse is influenced by the plan you choose (Core, Plus or Pro), your hiring volume and organizational complexity, and the features and capabilities required to support your workflows.” We quote no estimate of what it actually costs, because the vendor publishes none.
greenhouse.com · checked August 2026
Foundations is the only published price, and it is capped at 100 employees. Past that, verbatim: “Our pricing is based on company size, usage, and commitment.” Annual commitments carry a stated 10% discount. Ashby’s analytics product is priced separately, on usage, for teams running it over an ATS they already have.
ashbyhq.com · checked August 2026
The only genuinely free tier of the four, and its limit is the whole story: “1 Active Pool or Position”, with unlimited users and candidates behind it. Useful if you are hiring for exactly one job. The workflow this template ships is not on the entry paid tier either: scorecards, interview guides, and electronic signatures start at Growth ($273/mo annual), and offer management starts at Business ($439/mo annual), so a team wanting structured interviews and signed offers is comparing against those, not against $157. Annual billing is described as two months free.
breezy.hr · checked August 2026
Rule of thumb: if you hire continuously and your process has opinions (your own stages, your own scorecard questions, an approval chain that matches your org), building your own pays back quickly against a mid-tier subscription you would be on for years. If you hire two people a year, or you need job-board distribution and compliance reporting on day one without touching a codebase, buy. The awkward middle is a growing team on a free or entry tier that is about to need scorecards and signed offers, because that is the upgrade that changes the number.
Why build with Claude Code
Most software looks simple from the outside, but it’s mostly hidden plumbing: a database, logins, permissions, validating forms, and dozens of screens that read and write records. Building all of that yourself means being fluent across the full stack, so weeks go to parts customers never see before the first real feature works.
Claude Code removes that barrier. The whole workflow becomes a simple loop:
Describe
Say what you want in plain words in any language.
Build
It writes and edits real code across backend, auth, and UI.
Check
Run the app and see the change actually work.
Repeat
Ask for the next thing. Repeat.
No stage of that loop asks for the full-stack expertise or the months of boilerplate that stop most people, which is why one person can ship a working app in a couple of weeks.
Three hard partshandled for you
The data model, authentication, and access rules are what make software like this genuinely hard to build by hand. Describe them and Claude Code scaffolds all three. After that, the rest is mostly screens on top.
Any language is the interface
No code to write, and no English required either. Whether you need a new field, a renamed step, or an AI summary, describe it in whatever language you think in and Claude Code handles the implementation.
Whole project in context
It finds and reads the files a change touches, instead of needing you to paste them in, so each edit stays consistent with what is already there. Point it at the two or three files that matter and it stays fast.
Pay a developer, or do it with AI
Two ways to get the same app built: pay a developer for their hours, or spend your own describing it to an AI coding tool. Here is what each one costs to build, and what it costs to keep running once it is live.
Hire a developer
Custom build, from scratch- Developer
- ~$14k-$54k
- Supabase (backend)
- Free tier · $25/mo (Pro plan)*
- Hosting
- $0 free tier
- Build time
- ~270 hrs of their work
~$14k-$54k to build, then ~$25/mo after launch
That range is our ~270-hour estimate priced at market developer rates. The rate survey below puts North American contractors at $45-$75/hr and senior US developers at $100-$150+/hr, with agencies adding 20-40% on top, so roughly $50/hr at the low end, up to about $200/hr for an agency putting a senior on it. All of that is spent before your first candidate applies. After launch, your only standing costs are the database and the host.
Build it with Claude Code
From scratch, with Claude Code- Claude Code
- $20/month (Pro) to $200/month (Max)
- Backend (Supabase)
- Free tier · $25/month (Pro plan)*
- Hosting
- $0 on a free tier
- Your time
- ~128 hrs
~$20-$200/month while you build, then whichever plan you keep using
Claude Code itself is free. The cost sits in the Claude plan behind it. The fee doesn’t shrink when you start from a template the way a per-hour developer bill would: Pro, at $20/month, covers a template import or a short build, and a from-scratch build that runs for weeks tends to need the $100-$200/month Max plan instead, because it outlasts Pro’s usage window. Either way, the template changes how many of the hours in the estimator above you actually spend, not which Claude plan you’re paying for.
* The free Supabase tier is sized for building, not for hiring on: 500 MB of database, 2 active projects, and a pause after a week of no activity, which for a careers page means an applicant arriving at a dead link. Resumes count against storage too. The Pro plan, from $25/mo, keeps it awake.
Either column leaves you owning the system outright, so the tenth interviewer and the eleventh open role both cost nothing to add. What neither column carries is the fee every hosted system in the table above runs on: a price per seat, or per job slot, or per hire, charged for as long as you keep hiring. Yours has none of those, and the only bill that moves after launch is the database and the host.
Prices and rates from supabase.com, developex.com and claude.com, checked August 2026.
Decide before you build
Settle these six and the build goes smoothly. Each is a decision about how your team hires, not code to write.
Your stages, named your way
Applied, screening, interview, offer, hired is the default nobody argues with and few teams actually use. Write down the stages your team really moves people through, including the ones you would rather not admit to, before anything is built around them.
Whether stages differ per role
An engineering hire with a take-home task and a sales hire with a role-play do not fit one stage list. Decide now whether every job shares one pipeline or each job defines its own, because retrofitting per-job stages later touches every screen that reads them.
Who can see which job
The decision that shapes the whole permission model. Options run from everyone sees everything, through per-department, to an explicit list of people per job. Confidential searches are the case that decides it: if you will ever run one, you need the per-job list.
What an offer has to pass through
Nobody, a manager, or finance and a manager in sequence. The approval chain is a workflow with states and notifications, so it is much cheaper to specify now than to add once offers are already going out.
How long you keep candidate data
Rejected candidates’ data does not get to sit in your database forever, and the rules differ by where you and they are. Pick a retention period and decide whether deletion is automatic or someone presses a button, then build to it.
Which outside services you actually need
A mail sender is not optional, since the system sends candidates real email. E-signature and AI resume parsing are. Decide which of the three you are wiring up before you build, because each one is an account, a key, and a fallback for when it is down.
Comparing your build options
Where you start decides how much of the build is work your team will never see. Here is the same hiring system three ways: by hand, on a UI kit that stops at the screens, or end to end with Claude Code writing the schema and the access rules with it.
The pipeline is the small part. Most of this is the work underneath it: a schema that survives a candidate applying to three roles at once, permissions per job rather than per person, resume files, an e-signature service, and a mail sender that does not land in spam.
You get a dashboard shell, a board component, and some table screens. None of them know what a candidate is. The schema, the stage rules, the scorecards, the offers, and every integration are still yours to write.
Describe a piece at a time and it writes the migration, the policies, and the screens that read them together. The same task list, done by an agent that reads the rest of your project before it edits any of it.
Estimate your exact build timeframe
Tick the parts your hiring process actually uses. Plenty of teams never send an offer through the system, or never need a careers page. The estimate below follows what you keep.
Your estimate
128 hrs
start to finish
Based on the 7 of 7 features you’ve selected, plus ~31h of groundwork. Toggle any on the left to watch the number move, and open the groundwork row to untick what you have already, such as a database that is already running or going live if you are only building a mock-up for now.
A rough estimate, not a quote. Real time depends on how much you customize and how clean your data is.
Let’s set up the tools you need
Four things need to be on your machine before step 01, and none of it takes more than about 15 minutes. Three are ordinary installers you click through, and the fourth is an active Claude subscription. From there, you build simply by describing what you want, in your own words.
Claude Code
Your main AI assistant. Download and run the free Claude Code CLI, connect your Anthropic account or pay-as-you-go API key, and build your app in plain English. It runs in the Terminal, and if a command line puts you off, the same tool ships as a desktop app with buttons and windows.
Install Claude CodeClaude subscription
Claude Code itself is free, but the free Claude.ai plan does not include Claude Code access at all, so you need at least Pro, unless you pay as you go through a Console account instead. Pro at $20/month is enough to start with, though a long, from-scratch build tends to outrun what Pro allows in a given stretch, which is when people move up to Max, from $100/month. Every plan’s usage resets on a rolling window, so on a heavy day you may hit a limit and have to wait it out.
Compare Claude plansNode.js engine
The engine that runs your app on your own computer. You never have to learn how it works: download the version marked LTS (the most stable one), install it, and forget about it.
Download Node.js (LTS)Supabase (database)
Where your project keeps its data. Install it, then sign in once by running supabase login. Words like migrations and row-level security turn up later in the guide, and Claude Code writes those parts for you.
Install Supabase CLINothing here is worth memorizing. These four just need to exist on your machine. From step 01 on, you say what you want and Claude Code runs the commands.
Build your hiring core, prompt by prompt
No code to write. Describe what you need and Claude Code runs the commands. The prompts below build the core in the order that keeps you out of trouble: project, then data model, then who can see what, then the screens. Paste one, read what comes back, and move on.
- 01
Set up the project
Get an empty app running against your own database, and hand Claude Code a notes file so it stops guessing at your conventions halfway through. One prompt covers all of it.
PromptSet up the projectSet up a new React 18 + Vite + TypeScript project with Tailwind and the Supabase JS client. Read VITE_SUPABASE_URL and the publishable key (the sb_publishable_… key, which replaces the older anon key) from .env, and add .env to .gitignore in the same step so neither value reaches GitHub. Add a typed Supabase client under src/lib, then write a short CLAUDE.md describing the stack and the conventions for an applicant tracking system (jobs, candidates, applications, interviews, offers), so later edits stay consistent with the first ones.
Gives Claude Code a project and a memory to work against.
- 02
Separate the candidate from the application
The one modelling decision that costs a rewrite if you get it wrong. Someone who applies to two roles is one person with two applications, each at its own stage.
PromptDesign the hiring data modelCreate the core data model as Supabase migrations. A jobs table (title, department, location, employment type, description, and a status covering draft, open, on hold, and closed). A candidates table for the person (name, contact details, and their resume file in Storage) with exactly one row per person. An applications table joining a candidate to a job, carrying its own stage, source, and outcome, so the same candidate can apply to several roles independently. And a job_stages table so each job can define its own ordered stage list rather than sharing one global set. Write the migration SQL, let me review it, apply it, then regenerate the TypeScript types.
One candidate row, one application row per role they apply to. Merging those two is the mistake that surfaces the first time somebody reapplies.
- 03
Add team sign-in and the per-job access list
Your colleagues need accounts, and each job needs its own list of who can open it. Roles alone are too blunt for a confidential search.
PromptAdd auth, roles, and job accessAdd Supabase Auth with email and password: sign-up, login, logout, a persisted session, a profiles row per user, and a useUser hook. Then create an app_role enum with 'basic', 'job_admin', and 'site_admin', and a user_roles table linking a user_id to a role, kept out of the user's own metadata so nobody can promote themselves. Add a SECURITY DEFINER function has_role(_user_id uuid, _role app_role) that reads user_roles without recursing. On top of that, add a job_acl table granting a specific user access to a specific job, and a second SECURITY DEFINER function can_access_job(_user_id uuid, _job_id uuid) that returns true for a site_admin or for anyone listed on that job. Put it all in one migration.
Two layers on purpose: the role says what kind of user you are, the access list says which searches you are actually on.
- 04
Lock the tables down before a real resume lands in one
This is the step where a hiring system either protects candidate data or quietly does not. Read what comes back rather than skimming it, and remember the resume files need rules of their own.
PromptAdd row-level security and storage rulesEnable row-level security on jobs, candidates, applications, and job_stages, and write the policies against can_access_job: a site_admin reaches everything. A job_admin reaches the jobs they are listed on and every candidate and application attached to those jobs. A basic user reaches the same rows read-only. Name the WITH CHECK clause explicitly on every insert and update so nobody can attach a record to a job they cannot access. Then do the same for Storage: the resumes bucket must not be public, and its access policy has to match the application's: if you cannot see the application, you cannot fetch the file. Put it all in a migration, then show me how to verify that a job_admin on one job gets nothing back when they query another job's candidates, and that a resume URL from that other job fails to download.
Locking the tables and leaving the resume bucket public is the version of this that looks finished and is not.
- 05
Build the careers page and the pipeline board
Now the two screens that carry the product: the public one strangers use to apply, and the internal one your team lives in all day.
PromptBuild the screensBuild the core screens against these tables. A public careers page listing open jobs and a detail page with an application form that accepts a resume upload and creates a candidate and an application without requiring an account. An internal pipeline board per job, with the job's own stages as columns, drag-and-drop to move an application between them, and bulk select for moving or rejecting several at once. A candidate profile showing the parsed details, every application that person has, and a timeline of what happened. Keep all data access in typed hooks.
- 06Destination
Add interviews, scorecards, and offers, then walk it end to end
Finish the loop from applied to signed, then apply for one of your own jobs as a stranger would and fix whatever that turns up.
PromptAdd interviews, offers, and testAdd an interviews table (an application, a panel of interviewers, a time, and a stage) that emails a calendar invite when one is scheduled, and a scorecards table holding one submission per interviewer against the same set of questions, with a combined view on the application. Then add offers: an approval chain that has to clear before the offer sends, a generated PDF, and an e-signature request. Once that is in, run the app and walk me through the whole flow (post a job, apply through the careers page as an outsider, move the application through the board, schedule an interview, submit two scorecards, and send an offer), then fix anything that breaks on the way.
Protecting candidate data, and who sees which pipeline
A hiring system holds personal data about people who do not work for you and never agreed to anything beyond applying. Here is how that stays protected, in simple terms, and the rule that keeps it that way.
Proven logins for your team
Your colleagues sign in through the same battle-tested system every other app uses. You do not write login security yourself. Email and password works out of the box, and social sign-in is a small addition. Candidates applying through the careers page need no account at all.
Three roles, then a list per job
The template ships three roles (a basic team member, a job admin who runs the roles they own, and a site admin over everything) and then an access list per job on top. That second layer is what makes a confidential search possible: membership of the job, not seniority, decides who can open it.
Candidate data is the sensitive kind
Resumes, contact details, interview notes, and whatever someone volunteered in an application form. This is personal data about people outside your company, which raises the stakes on every access rule and makes your retention decision a real one rather than a formality.
Row-level security across every table
The template ships 133 row-level security policies because the interesting question is never “is this person logged in” but “is this person on this job”. The database answers that itself on every read and write, so a screen that forgets to filter still cannot leak another team’s pipeline.
Resume files need the same rules as the rows
An uploaded resume is a file in storage, not a database row, and it is easy to lock the candidate record down carefully while leaving the file itself reachable by anyone holding the link. Storage gets its own access rules, written at the same time as the table’s.
Four keys, and none of them ship to the browser
Only a “publishable” key reaches the app, and it is designed to be seen. The four that matter (the database’s service key, the e-signature account, the mail sender, and whichever AI model you use) stay on the server. A hiring system accumulates more of these than most apps, which is a good reason to route them all through one place rather than four.
Your database is the only copy until you pay for one
The free tier keeps no backups at all, so during the build a bad migration is unrecoverable. Supabase Pro (from $25/mo) adds a daily backup with 7 days of history. Get on it before the first real applicant, because losing candidate records is not a setback you can quietly rebuild from memory.
Review the access rules (row-level security policies) on every table. For each one, tell me in simple terms who can view, add, edit, and delete records, confirm that people can only reach their own data while the right roles can reach more, and flag anything left open that shouldn’t be.
Run this before launch to make sure nobody can see data they shouldn’t.
The one rule that matters: never put a secret key (database, e-signature, mail, or AI) in the app or a public repo. If one ever leaks, reset it right away.
What speeds the build, and what slows it
Speeds the build
- A CLAUDE.md notes file that spells out your setup and preferences
- Asking for a plan first on anything that touches several files
- One change per request, small enough to describe in a sentence
- Pointing it at the two or three files that matter
- Running the app and checking each change before the next
- Saving a working version (a git commit) after each step, so you can undo
Slows the build
- Vague prompts like “make it better”, which leave it guessing what you meant
- Asking for a whole feature in one giant prompt
- Dumping the entire project into the chat at once
- Skipping the notes file, so it forgets your conventions each session
- Accepting changes without running or reading them
- No saved versions to roll back to when something breaks
Git: what it is, and why you need it
Before you build anything, meet the one tool that makes building safe. You need no coding background for it: Git remembers every version of your project, so you can try things, break things, and get back to a working state in seconds.
What Git actually is
Git is a quiet recorder that runs alongside your project. Each time you save your work it keeps a full snapshot, so the entire history of your project lives on your computer, not just whatever the files look like right now.
Why you need it
Claude Code runs inside a permission mode you choose, either asking before each change or working more freely once you trust it. Either way, experiments sometimes still break things. Git is what makes that safe: there’s always a working version to return to, so you can try bold changes without the fear of losing what already works.
A commit is a save point
Each commit is a snapshot with a short note, like “added the home page”. Make one after every working step and you can jump back to any of them later.
GitHub’s beginner guide to GitUndo anything, safely
If a change breaks something, you roll back to the last good commit instead of unpicking it by hand. It’s the safety net that makes bold experiments with Claude Code low-risk.
GitHub is Git’s home online
Git lives on your computer. GitHub is a free, private cloud copy of the same project. It’s your backup if your laptop dies, and the place Claude Code can always get back to. Keep it private, and never commit secret keys or passwords.
Create a free GitHub accountYou rarely type git commands
You do not have to memorize any of it. Ask Claude Code to “commit this” or “undo the last change” and it runs the git steps for you. Prefer clicking to typing? Claude Code’s own desktop app, which you install separately, shows each change side by side before you keep it, and GitHub Desktop gives you plain buttons for saving and rolling back.
Get the Claude Code desktop appWhere to host your application
Hosting gives your app a home on the internet so anyone can open it via a web link. Choose a service below to make your site live. (Your database, logins, and business records are stored separately in Supabase, covered below).
| Host | Best for | Notes | Free tier |
|---|---|---|---|
| Vercel | One-click deploys | Connect the project and it publishes itself. A standard Vite setup needs no configuration. One catch worth reading before you pick it: the free Hobby tier is for personal, non-commercial projects, and a hiring system for a company is neither, so budget for Pro at $20/user/mo. | Pro from $20/user/mo (Hobby is non-commercial) |
| Netlify | Drag-and-drop or Git | Either connect the repository or drag the built folder onto the page. The quickest way to get a careers page in front of someone who wants to see it today. | Free tier |
| Cloudflare Pages | Cheapest at scale | Connect it once and every applicant loads the careers page from whichever of Cloudflare’s locations is nearest them. | Generous free tier |
| GitHub Pages | Free Git-based hosting | Publishes straight from your GitHub project, with one small setting so page links resolve. The catch matters more here than on most projects: publishing from a private repository needs a paid GitHub plan, and a hiring system’s repo should stay private, so treat this as free only if you are comfortable making the code public. | Free from a public repo only |
| Firebase Hosting | Companies already on Google | Configure it once, then every release is a single publish command. Mostly worth it if your company already lives in Google’s tooling and this is one fewer vendor to explain. | Free Spark tier |
| AWS Amplify Hosting | Teams already on AWS | Connect the project in the AWS console and set one routing rule so deep links work. Worth it mainly if procurement has already blessed AWS. | Free tier (build + hosting) |
| Surge | Publish from the terminal | One command publishes the built folder, with no repository in the loop at all. Handy for showing a work-in-progress to a colleague. | Free - unlimited publishing |
| DigitalOcean App Platform | DigitalOcean users | Point it at the project and it builds and serves the site for you, alongside whatever else you already run there. | Free - 3 static sites, 1 GB/mo transfer |
Any of these will serve the app. The thing to check before you settle is not the price but the licence: a free tier is not automatically free for business use, and Vercel’s Hobby tier is explicit that it is for personal projects only. An internal hiring tool is company use however few people log in, so read the plan terms for whichever host you pick.
Keep your data in Supabase
Postgres for the records, auth for your team, storage for resumes and offer documents, and edge functions for anything that needs a key. Whichever host serves the frontend above, all four run here.
| Service | Best for | Notes | Free tier |
|---|---|---|---|
| Supabase | Data, auth, files, functions | Postgres database, authentication, storage for resumes and offer documents, and edge functions for the parts that need a key. Create a free project and your AI coding tool connects the app to it. | Free tier, then usage-based |
Where AI genuinely helps a hiring team
With the core working, each of these is one more prompt, and they go in as written. All four call the same server-side function, so the key sits on the server where no browser can read it.
Resume parsing into a real profile
Reads an uploaded resume and fills in the candidate’s roles, dates, skills, and contact details, so nobody retypes a CV into a form. The highest-value one on this list, because it runs on every single application.
Add a server-side function that takes an uploaded resume, sends its text to your ai function, and returns structured fields (name, contact details, work history with dates, education, and skills) then pre-fills the candidate profile with them and shows the recruiter what was extracted before saving.
A screening summary against the role
Produces a short read on how an application lines up with the job description, with the specific evidence it used. It is there to save the recruiter a first pass, not to make the decision.
Add a "Summary" panel on the application view that sends the job description and the candidate’s parsed profile to your ai function and returns a short summary of where they line up and where they do not, quoting the evidence for each point. Present it as a note for the reviewer, never as a score or a recommendation to reject.
Interview questions from the role and the resume
Drafts questions for a specific panel based on the job and what the candidate has actually done, so an interviewer walking in cold still asks something worth asking.
Add a "Suggest questions" action on the interview screen that sends the job description, the interview stage, and the candidate’s profile to your ai function and returns a handful of specific questions the interviewer can edit before the call.
Pulling scorecards into one view
Rolls a panel’s separate scorecards into a summary of where interviewers agreed and where they did not, so the disagreement is the thing that gets discussed.
Add a "Panel summary" block on the candidate page that sends every submitted scorecard for that application to your ai function and returns a short summary of consensus and disagreement, listing which interviewer said what rather than averaging them into one verdict.
Each prompt above picks the model that fits the job. As a rule of thumb, that is Haiku for high volume, Sonnet for everyday writing, and Opus for deeper reasoning. Model names move faster than this page does, so check the current list in the Claude docs (linked in the references below) before you build. Send every one of these prompts through that same ai function, so one key and one set of rules governs all of them.
Get a head start with our template
Everything above assumes you are starting from an empty folder. You do not have to. The same hiring system is available already built, which turns most of that estimate into an afternoon of renaming stages to match your process.
Hiring & ATS
The exact ATS this guide builds, packaged so you can open it, point it at your own backend, and make it yours from there. An applicant tracking system for internal HR teams, agencies, and project-based hiring. Your team runs the whole process from one place - creating roles, tracking candidates, and moving them from application to offer - with AI resume parsing, shared interview scorecards, offers as signed PDFs, and real-time analytics on where every role stands.
The key benefits of starting with a template
The parts nobody enjoys building are already done and running: the schema, per-job access rules, resume storage, the offer chain, and three integrations. That leaves your time for the stages and scorecards that make it yours.
Building the core from scratch
~128 hrs
Opening the template, already built
~1 hr
~127 hrs of building you skip
Two different measurements, deliberately: ~128 hrs is what building the core costs you, and ~1 hr is how long the finished one takes to open and point at your own database. Adapting it to your stages, your scorecard questions, and your approval chain takes the same time whichever column you start from, so neither side counts it.
A working hiring system from day one
Open a functional app, not an empty folder. Jobs, candidates, the pipeline board, interviews, scorecards, offers, and the dashboard over them are ready to use.
Pre-configured access rules
Team accounts, three roles, a per-job access list, and 133 row-level security policies work out of the box, so a hiring manager reaches their own roles and nobody reaches a confidential search by accident.
The integrations already wired
Resume parsing, generated offer PDFs, e-signature, calendar invites, and transactional email are connected and working. Each one is an account and a key you supply, not a feature you build.
Clean structure your AI can safely customize
Typed throughout, organised by feature, and documented, which matters more than it sounds, because every later change you describe lands better when the tool has a clear pattern to follow.
From founders who build on our templates
We needed to get a live product in front of users fast. Instead of building from a blank repo, I picked up this template, customized it with our AI tool, and shipped straight away, bypassing the usual setup process.
Jeevan ThomasFounder & CEO, Hado.aiCommon questions
No, and you will not write the access rules by hand either. Describe what you need in plain language and your AI coding tool produces the schema, the row-level policies, the storage rules for resume files, and the server-side functions behind them. The one thing you do yourself is create a free Supabase project to point it at, so the data ends up somewhere you own.
Yes, and the data model is built for it. The candidate is one record. Each application to a specific job is its own record with its own stage, scorecards, and outcome. Someone can be rejected for one role and mid-interview for another without the two interfering.
Yes, and this is the part worth getting right early. Alongside the three roles, each job carries its own access list, so a confidential search is visible only to the people explicitly on it, enforced by the database rather than by hiding a link in the interface.
Yes. Resume parsing is the one most teams add first, followed by screening summaries, interview questions, and scorecard summaries. Add a small server-side ai function, pick the model tier that fits the job, and keep the key on the server, never in the app.
No, and the guide is written so it cannot. Every AI feature here summarises or extracts for a person who then decides. Nothing rejects an application on its own. Automated hiring decisions are regulated differently depending on where you and your candidates are, so check what applies to you before you go further than this guide does.
Only the services you connect with your own accounts: Supabase for the backend, a mail sender, and optionally an e-signature provider and an AI model. Supabase and hosting both start free. Before real candidates can apply, Supabase Pro starts at $25/mo, since free projects pause after 1 week of inactivity. You pay those providers directly.
Only the people your access rules allow, and it lives in the Supabase project you created. That makes you the sole controller of that data for GDPR purposes, which also means the retention decision is yours: decide how long rejected candidates’ records stay and build that in, rather than leaving them indefinitely by default.
There is nothing proprietary to be locked into. It is an ordinary PostgreSQL database, so an ordinary Postgres dump gives you every candidate, application, and scorecard, and any Postgres host will take it. Worth knowing for a second reason here: a request to delete a candidate’s data is much easier to honour when you can see exactly where all of it sits.
Yes. Whichever host you pick lets you connect a custom domain with free HTTPS in a few clicks, worth doing before the careers page goes out, since that URL ends up in every job ad.
No, though you will type the occasional command: installing Claude Code, starting the app, applying a database change. The setup section above lists what you need, with a link for each, and once it’s on your machine Claude Code runs most of those commands for you.
Claude Code turns the real code into an app you can publish, with a database and user accounts. An Artifact is a one-file preview, good for a quick look but not for going live.
Claude Code’s plans reset on a rolling window rather than billing per token, so a heavy day of building can bump into a limit. You either wait for it to reset or move up a plan. Max gives more headroom for a long, from-scratch build. Nothing you’ve already built is lost either way, so the work only pauses.
References
Sources checked August 2026- 01The Real Costs of Recruitment (average cost per hire), SHRM. shrm.org (published 2022)
- 02Pricing, Workable. workable.com
- 03Pricing, Greenhouse. greenhouse.com
- 04Pricing, Ashby. ashbyhq.com
- 05Pricing, Breezy HR. breezy.hr
- 06Pricing (Pro plan, free-tier limits, backups), Supabase. supabase.com
- 07Web developer hourly rates 2026 (freelance and agency benchmarks). developex.com
- 08Row Level Security, Supabase docs. supabase.com
- 09Storage access control, Supabase docs. supabase.com
- 10Plans and pricing (Pro, Max), Claude. claude.com
- 11What is the Max plan?, Claude support. support.claude.com
- 12Set up Claude Code, Claude docs. code.claude.com
- 13Models overview, Claude docs. platform.claude.com
This guide is general information, and not legal or HR advice. Hiring, candidate data, and automated decision-making are regulated differently depending on where you and your candidates are, so check what applies to you. Third-party prices, plan limits, and market rates are quoted from the sources above and were last checked on the date shown. Vendors change them without notice, so confirm before you budget. Build hours and the cost estimates derived from them are our own estimates, not quotes. Claude, Claude Code, and the Anthropic API are products of Anthropic. Verify current capabilities and pricing before relying on them.