TruckRecruit
An AI-assisted recruiting platform that centralizes applicants, automates screening, and helps teams hire faster with structured pipelines, scoring, and messaging workflows.
Role
Lead Developer & Architect
Timeline
5 months
Year
2024
Stack
The Problem
Recruiting teams juggle applications across email, spreadsheets, forms, and DMs. Screening is inconsistent, follow-ups get missed, and hiring decisions are based on incomplete notes. High-volume recruiting needs speed and quality without chaos.
The Solution
Built a full pipeline system that tracks candidates end-to-end — from application through screening, interviews, and offers to hired — with AI-assisted screening, structured rubrics, and automation that reduces manual work while improving decision consistency.
Key Features
The capabilities that make it work.
Kanban-style pipeline stages with configurable workflows per role
Custom application forms with role-specific screening questions
AI-assisted summaries of candidate answers and red-flag detection
Scoring rubrics, notes, tags, and reviewer assignments
Automated follow-ups with email/SMS templates, reminders, and SLA timers
Candidate profile timeline tracking messages, score changes, and stage moves
Funnel metrics with apply-to-hire conversion tracking
Time-to-hire and time-in-stage analytics by recruiter
Architecture
Role-based access control with team permissions and audit trails. PostgreSQL schema spanning candidates, stages, evaluations, messages, tasks, and audit logs. Background jobs handle automations including follow-ups, reminders, and status checks. AI layer uses guardrailed summarization and classification with mandatory human review.
Challenges Solved
The hard problems behind the polished surface.
Designing a flexible pipeline engine that adapts to different hiring workflows without becoming overly complex
Building a policy-compliant AI screening layer that assists without replacing human judgment
Scaling automated follow-ups with SLA timers across thousands of concurrent candidates
The Outcome
Reduced average time-to-hire by 40%. Screening consistency improved across the team with structured rubrics replacing ad-hoc notes. Automated follow-ups eliminated missed candidate touchpoints.
What's Next
Where this product goes from here.
Interview scheduling with calendar sync
Source attribution analytics for recruitment channels
Candidate quality scoring by interviewer performance