Resume Screening Automation on Supabase, Powered by AI
Run Resume Screening on top of Supabase with a DeskFerry agent. Faster execution, fewer errors, zero manual busywork.
47 screened · 5 shortlisted. Top pick summary:
How does Supabase work for Resume Screening automation?
Supabase works for Resume Screening automation by powering a DeskFerry agent that runs the workflow end-to-end inside your existing tools — no code, no custom build.
- 01
Trigger fires
The agent connects to Supabase alongside the other apps your team already uses, watches for the triggers that matter for Resume Screening, and takes the next step on its own while keeping a complete audit trail for review.
- 02
Screen today's 47 resumes from @LinkedIn using @Supabase
AI evaluates resumes against job requirements in seconds, producing objective rankings for your recruiters' review.
- 03
Score against the AE role rubric and shortlist five for the recruiter
Teams typically see hundreds/hr with consistent scoring rubric once the agent is in production.
- 04
You approve
You stay in control: every action is logged, confidence thresholds are configurable, and anything ambiguous is queued for a human instead of being silently auto-completed.
How you tell it what to do
Built in plain English.
You write the rule the way you'd describe it to a teammate. The agent reads the rule, breaks it into the actions it'll take, and confirms the apps it'll touch — before it does anything.
- 1Screen today's 47 resumes from @LinkedIn using @Supabase
- 2Score against the AE role rubric and shortlist five for the recruiter
How it connects
Connect Supabase. The agent does the rest.
Claude and ChatGPT are already running on our side. You connect Supabase with one click, and resume screening runs inside it.
Claude and ChatGPT run on our keys. Nothing for you to configure.
- SupabaseConnect
- LinkedInConnect
Runs on your data, in your apps.
Nothing to deploy. Nothing to maintain.
Actions
What Supabase + DeskFerry can do
Real Supabase actions your AI agent can perform automatically — no manual work required.
Create project api key
Creates a 'publishable' or 'secret' api key for an existing supabase project, optionally with a description; 'secret' keys can have customized jwt templates.
Delete an API key from the project
Permanently deletes a specific api key (identified by `id`) from a supabase project (identified by `ref`), revoking its access.
Get a third-party integration
Retrieves the detailed configuration for a specific third-party authentication (tpa) provider, identified by `tpa id`, within an existing supabase project specified by `ref`.
List third-party auth integrations for project
Lists all configured third-party authentication provider integrations for an existing supabase project (using its `ref`), suitable for read-only auditing or verifying current authentication settings.
Delete third party auth config
Removes a third-party authentication provider (e.g., google, github) from a supabase project's configuration; this immediately prevents users from logging in via that method.
Update an API key for the project
Updates an existing supabase project api key's `description` and/or `secret jwt template` (which defines its `role`); does not regenerate the key string.
Beta activate custom hostname for project
Activates a previously configured custom hostname for a supabase project, assuming dns settings are verified externally.
Activate vanity subdomain for project
Activates a vanity subdomain for the specified supabase project, requiring subsequent dns configuration for the subdomain to become operational.
Authorize user through OAuth
Generates a supabase oauth 2.0 authorization url for user redirection, requiring a pre-registered `client id` and a `redirect uri` that matches one of its pre-registered uris.
Check vanity subdomain availability
Checks if a specific vanity subdomain is available for a supabase project; this action does not reserve or assign the subdomain.
AE shortlist · 5 candidates ranked (top: Aisha Patel, 94/100)
ChatGPT screened all 47 applicants against our AE rubric (PLG SaaS, $50–250K ACV, 3+ years closing). Top five attached, ranked.
Personalized using LinkedIn activity from the last 30 days.
Human in the loop
Approve before it sends.
Every draft lands in a review queue. You approve, edit, or reject — the agent never acts on its own unless you explicitly turn that on for a workflow you trust.
Governance
Every action, with the reasoning attached.
Each step the agent takes is logged with what it did, why it did it, and which app it touched. Audit-ready, so security and compliance can sign off without backfilling.
- Marco11:42 AM
Approved the draft to recruiting@deskferry.com.
- Agent11:41 AM
Drafted the email and queued it for review.
Reason: High-confidence personalization but recipient is C-level — escalating per policy.
- Agent11:40 AM
Pulled LinkedIn activity and HubSpot deal context.
- Agent11:40 AM
Triggered: Screen today's 47 resumes from @LinkedIn using @Supabase — score against the AE
- Agent11:38 AM
Confirmed sender domain DKIM is healthy.
How it works
Get started in three steps
Step 01
Connect Your Supabase Database
Authorize Supabase with secure credentials. DeskFerry maps your schema and tables automatically.
Step 02
Configure Data Sync Rules
Define which Supabase records trigger AI actions — new rows, updates, or scheduled queries.
Step 03
Automate & Validate
AI keeps Supabase data clean, synchronized, and flowing to downstream apps. Monitor sync health in real-time.
Start automating Resume Screening for Supabase
7-day free trial. Works with the tools you already use.
FAQ
Frequently asked questions
How long does it take to set up Resume Screening automation with Supabase?
Most users connect Supabase and launch their first Resume Screening automation within 10 minutes. The guided wizard handles OAuth authorization, and you configure Resume Screening-specific rules through a visual no-code builder.
Can I run multiple Resume Screening workflows with different Supabase triggers?
Yes. You can create parallel Resume Screening workflows that respond to different Supabase events or conditions. For example, one Resume Screening flow for new Supabase records and another for updated ones — each with independent rules and actions.
How does Supabase data stay secure during Resume Screening automation?
All data exchanged between Supabase and DeskFerry during Resume Screening processing is encrypted in transit and at rest. We use OAuth tokens for Supabase access, never store raw credentials, and maintain full audit logs of every Resume Screening action.
What specific Resume Screening tasks can the Supabase integration automate?
The Supabase integration automates end-to-end Resume Screening — including data capture from Supabase, validation, routing, follow-up actions, and status updates. Every Resume Screening step that touches Supabase can be handled by the AI agent.
What ROI can I expect from automating Resume Screening with Supabase?
Teams automating Resume Screening through Supabase typically save 10-20 hours per week on manual processing. The ROI dashboard tracks time saved, tasks completed, and error reduction so you can quantify exactly what Supabase-powered Resume Screening automation delivers.
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