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RecruiterAI — A Fully Synced Recruiting Platform (iOS + Web)
RecruiterAI helps recruiters move fast and stay organized. Capture notes, ideas, and candidate signals on the iOS app, then manage pipelines, interviews, tasks, and reports on the web — fully synced so nothing gets lost between devices.
At the core is the AI Hub, featuring a job description optimizer, resume analyzer, candidate matcher, interview question generator, outreach writer, salary insights, onboarding plan generator, and AI scheduler.
Powering it all is Tally AI, an expert recruiting copilot with full access to platform data. Tally AI provides context-aware insights, drafts content, and guides decisions — amplifying recruiters’ impact while keeping them in control.
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Hey everyone,
Just launched a new Webflow template called Hirepilot, built for HR teams and recruiting platforms.
The goal was to keep it clean and product-focused with sections for candidate pipelines, AI-driven hiring workflows, and demo conversions.
Would love to hear your thoughts or feedback from the community.
Appreciate the support here.
Check the comment for the link to check it out.
Looks clean. The hiring pipeline sections seem really well thought out.
AI-Powered Outreach Automation (n8n)
Built a workflow that turns outreach into a structured pipeline.
The system:
• Pulls verified leads from Supabase
• Uses AI to generate personalized emails
• Sends outreach via Gmail
• Monitors replies and analyzes sentiment
• Routes responses automatically (book meeting, review, or archive)
• Sends follow-ups if there’s no reply after 48 hours
Result: a fully automated pipeline that moves leads → conversations → booked meetings.
Designed for creators, agencies, and teams running outbound outreach at scale.
Nice workflow. Using AI to personalize outreach and track replies in one pipeline is really useful.
Built a full-stack AI automation system that transforms how the company responds to RFPs.
Users upload RFP documents (PDF/Excel) through a web portal. An n8n pipeline processes the upload: AI parses the document to extract key fields (issuer, scope, budget, deadline), classifies the service line, matches content from an Airtable library (team bios, references, portfolio), and generates 80-90% complete proposal drafts with cover letter, company overview, technical approach, and more. Output is a formatted Word document ready for review.
Results:
✅ Reduced proposal creation from 4-6 hours to under 30 minutes
✅ 90% auto-complete rate on proposal sections
✅ 14+ RFPs processed through the pipeline
✅ Full proposal dashboard with status tracking
Tech: n8n, OpenAI, Airtable, Vercel, Webhooks
This is a really interesting automation workflow, Peter. Using AI to parse RFPs and streamline proposals is a smart use case.
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