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Staffify

AI-Driven Talent. Top 1% only.

A $6M recruiting business used to run on inboxes, spreadsheets, and one recruiter's memory. Applicants sat unread for days. Interviews took a week of email tag to schedule. Foundry rebuilt the whole operation into one intelligent stack where the AI reads, scores, chases, and schedules, and the humans only touch the decisions that matter. It ships new capability every week, and it has not needed a bigger team since.

What AI compresses
Real-time
every surface in sync, instantly
Self-cleaning
duplicates, conflicts, and stale records handled
Self-researching
records get richer over time, not stale
Auto-Meet
calendar event on every interview confirm
Weekly
content shipped to gostaffify.com/blog
0 retypes
from discovery call to active role
Six recurring workflows where AI does the cognitive load. Recruiters approve, refine, and ship.
What Foundry built

Five shipped systems. One intelligent stack.

Every Staffify code change ships through Foundry. The recruiter console runs the inside. The public surfaces convert outside. The scheduling and intake handle the back-and-forth nobody wants to remember. The content engine keeps the brand findable. All of it sits on one self-cleaning, self-researching database.

01

Talent Console

recruiting.gostaffify.com
recruiting.gostaffify.com

The recruiter operating system. An AI-first interface where every action surfaces with a recommendation already attached. The recruiter stops being the bottleneck.

  • Built around one principle: if the recruiter has to think before they click, the system has failed.
  • Every screen surfaces the next move with a recommendation already prepared.
  • Recruiter approves, edits, or overrides. The system queues what comes next.
  • Every decision feeds a continuously improving picture of what success looks like.
Next.jsTypeScriptTailwindshadcn/uiSupabaseClaude
02

Intelligent data layer

Supabase · single source of truth

The brain underneath everything. A continuously self-cleaning, self-researching database that gets richer over time instead of stale. Built on Supabase as the single source of truth, with row-level security and real-time updates pushed to every connected surface.

  • Single source of truth across the whole business. Candidates, clients, roles, interviews, conversations — one schema, one auth layer, one set of indexes.
  • Self-cleaning. The data layer notices duplicates, conflicting fields, and dead records. It resolves what it can resolve on its own and surfaces what needs a human.
  • Self-researching. Background agents continuously enrich every record. Profiles fill themselves in. Public-side info stays current. Gaps get inferred from comparable patterns.
  • Real-time everywhere. The moment a record changes, every connected screen knows. No "refresh to see updates" friction.
  • Row-level security on every read and write. Public surfaces are cryptographically gated, not just URL-obscured.
  • Built to be inherited. Every schema change tracked, every migration documented, every state recoverable.
SupabasePostgresRow Level SecurityRealtime subscriptionsClaude
03

Public web surface overhaul

recruiting.gostaffify.com
recruiting.gostaffify.com

Every public-facing surface of the business. Candidate showcases, client review experiences, candidate self-serve portals — all branded, all connected, all pushing traffic back to the marketing site.

  • Every candidate gets a personalized landing page they're proud to share.
  • Clients get a clean swipe-style review experience. No spreadsheets, no shared docs, no email chains.
  • Candidates fill missing details through a self-serve portal on their own link.
  • Public-facing navigation on every candidate page drives traffic back to the marketing site. The funnel stays unified.
  • Brand-locked design system across every page. Nothing reads off-brand.
Next.jsTailwindshadcn/uiSupabase
04

Scheduling + intake automation

recruiting.gostaffify.com + sales-pipeline

The whole back-and-forth of getting from interest to interview, eliminated. Discovery calls land in the pipeline on their own. Interviews schedule themselves. What used to take a recruiter half a day takes one click.

  • Discovery calls book themselves into the pipeline. Prospect data flows through to the role creation step already filled in.
  • Interviews schedule themselves on the candidate's landing page. Both parties get a calendar invite, both join the same Meet, neither sees the other's email.
  • After every call, the recruiter clicks one outcome. The system handles the rest.
  • Zero retyping anywhere in the flow. The data that comes in is the data the recruiter works with.
CalendlyGoogle Calendar APIOAuthSupabaseVercel
05

Content + discovery infrastructure

gostaffify.com/blog · recruiting.gostaffify.com/feeds
gostaffify.com/blog · recruiting.gostaffify.com/feeds

Every public surface indexable by Google and AI search. Weekly long-form content publishing to gostaffify.com/blog. The business stays findable on its own terms.

  • Every role and every public page built to be picked up by Google natively.
  • Weekly blog content publishes to gostaffify.com/blog. Topics aimed at service business operators.
  • Recent posts get picked up by AI search engines within days. The brand shows up when prospects ask ChatGPT or Perplexity about staffing.
  • Discovery infrastructure layered through every role page so the right buyer finds the right role on their own.
JSON-LDGoogle for JobsWix CMSClaude (drafting)
What makes it work

An intelligent data layer that cleans and researches itself.

Every surface in the Staffify stack reads from the same source of truth: a Supabase schema that doesn't go stale. Foundry built the layer to maintain itself. Records get richer over time, not messier. The operator never has to clean up after the system.

01

Single source of truth

Every record lives in one schema. Recruiters, candidates, clients, interviews, and conversations all read from the same place. No syncing, no shadow spreadsheets, no version drift.

02

Self-cleaning

The data layer continuously watches itself. Duplicates get merged. Conflicting fields get reconciled. Dead records get archived. What can't be auto-resolved gets surfaced for one-click human review.

03

Self-researching

Background agents continuously enrich every record. Profiles fill themselves in. External signals stay fresh. Missing fields get inferred from patterns the system has already seen.

04

Real-time everywhere

The moment a record changes, every connected screen knows. The recruiter doesn't refresh. The client doesn't reload. The candidate doesn't wonder if their submission went through.

The architectural bet

Most software ages badly. This one gets sharper.

Conventional databases need ongoing manual cleanup. Migrations break. Records go stale. Schemas drift. Foundry built the Staffify data layer to do the opposite. Every change strengthens it. Every record self-enriches. The schema is built to be inherited, not rebuilt.

Stack
Supabase · Postgres · Realtime
Security
Row-Level cryptographic gating
Enrichment
Continuous AI agents
Recoverability
Every change versioned
Your operator console, next

Same playbook, your business.

Foundry ships AI operator consoles like this one for clients across recruiting, real estate, food packaging, hospitality, and SaaS. Start with a paid audit.