# How to Vibe Code Your Own LeaseLineage (and Stop Paying for It) > CRE outbound platform for industrial and flex brokers - Site: https://app.leaselineage.com - Category: SaaS / B2B Sales Workflow - Verdict: **Solid side project** (72/100 vibecodeable) - Estimated effort: 2-3 weeks part-time ## Verdict Build a personal-use subset if you want a tailored CRE prospecting tool, but keep paying if you rely on production-grade inbox deliverability. LeaseLineage is a disciplined vertical SaaS application with moderate engineering complexity. The core logic centers on standard CRUD operations, relational database schemas for real estate attributes, and API integrations with Apollo, Hunter, and email providers. The real friction point during vibecoding will not be the UI or basic database design, but wiring up robust OAuth flows for Gmail and Microsoft Graph, managing token expirations, and ensuring that incoming webhook replies reliably halt ongoing campaign sequences without race conditions. For personal broker use or study, an AI coding agent can scaffold this cleanly in a couple of weeks, but maintaining email deliverability outside of established ESP channels requires careful handling. ### What you can't replicate - Active commercial broker waitlist and market network - Proprietary distribution reach across 6 regional real estate markets ## What it does A vertical-specific outbound prospecting and workflow platform built specifically for commercial real estate brokers, combining multi-step campaigns with an inbound tenant requirement pipeline. ### Core features - Broker onboarding and territory/asset-class configuration - AI contact discovery and fit scoring via Apollo and Hunter APIs - Multi-step outbound email sequences with pacing and send limits - Connected Gmail and Outlook OAuth API inbox read/send syncing - Automatic reply suppression (halting sequences upon reply) - Inbound tenant space requirement posting and matching pipeline - Team workspace and brokerage management controls ## The business ### Pricing - Tenant Access: Free — For tenants browsing broker directories and posting space requirements. - Pro: $79/mo — For active commercial real estate brokers running outreach. - Brokerage: $249/mo — For brokerage teams managing shared pipeline and multi-seat workflows. Founded 2026. Team size: 1-2. ## The hard parts - Implementing robust OAuth token refresh and polling/webhooks for Gmail and Microsoft Graph APIs to instantly detect replies and suppress sequences - Modeling relational data structures specific to commercial real estate (asset classes, clear heights, zoning, lease requirements) - Managing outbound sending reputation, domain authentication (SPF/DKIM), and daily send pacing limits per broker account ## How to vibe code LeaseLineage ### Prerequisites - Node.js (free): Runtime environment for running Next.js and backend services. - GitHub (free): Repository hosting and deployment pipeline integration. - Google Cloud & Azure Developer Accounts (free): Required to configure OAuth apps for Gmail and Outlook inbox sync testing. ### Recommended AI tools - Claude Code: Best-in-class terminal agent for scaffolding full-stack Next.js applications and debugging multi-file API integrations. - Cursor: Ideal for iterative frontend component design and reviewing complex OAuth webhook logic. ### Stack - Frontend: Next.js with Tailwind CSS - Backend: Next.js API Routes / Server Actions - Database: Neon (Serverless Postgres) - Auth: better-auth - Payments: Stripe - Other: Resend, Apollo.io API, Hunter.io API ### Hosting - Vercel (Hosting the Next.js full-stack web application and serverless functions.): $0-20/mo - Neon (Serverless Postgres database storing broker profiles, campaigns, and tenant requirements.): $0/mo ### Build guide 1. **Project Scaffolding & Database Schema** — Initialize the Next.js application, configure Tailwind CSS, set up better-auth with Neon Postgres, and define relational database tables for brokers, target markets, asset classes, campaigns, prospects, sequences, and tenant requirements. ``` Create a new Next.js project with TypeScript and Tailwind CSS. Configure Drizzle ORM to connect to a Neon Postgres database. Define the relational schema for a commercial real estate (CRE) outbound platform with the following tables: brokers (id, name, email, market, territory, asset_classes, daily_send_limit), campaigns (id, broker_id, name, status, asset_class), prospects (id, campaign_id, name, email, company, fit_score, status), sequence_steps (id, campaign_id, step_number, template), and tenant_requirements (id, tenant_name, requirement_details, asset_class, created_at). Ensure all foreign key constraints and indexes are correctly specified. ``` 2. **Broker Onboarding & Controls UI** — Build the broker onboarding wizard and dashboard settings to capture target markets, territories, asset classes, and daily send limits before launching outbound campaigns. ``` Build a broker onboarding dashboard and multi-step setup flow in Next.js. Create a form component that captures target market, geographic territory, asset class focus (Industrial, Flex, Office, Retail), and daily send limits (e.g., 35/day). Save these settings to the broker profile in the Neon database. Add validation to ensure send limits and asset classes are locked before any campaign can be activated. ``` 3. **Prospect Intelligence & Enrichment Integration** — Integrate Apollo.io and Hunter.io APIs to fetch, verify, and score decision-makers matching the broker's asset class and market criteria. ``` Implement server actions and API client utilities in Next.js to integrate Apollo.io and Hunter.io contact discovery endpoints. Create a prospecting view where brokers can search for target decision-makers based on asset class and market filters, calculate a fit score based on company attributes, and save verified contacts directly to a selected campaign list. ``` 4. **Campaign Engine & Sequence Execution** — Develop multi-step sequence builder and background execution logic with pacing controls and daily send limits. ``` Build a campaign sequence management UI allowing brokers to configure multi-step email templates with variable interpolation. Implement a cron-triggered backend job using Next.js route handlers or Vercel Cron that respects the broker's daily send limit and pacing controls, sending pending sequence steps via Resend or connected mailboxes while updating prospect activity statuses. ``` 5. **Connected Inbox & Reply-Safe Suppression** — Implement Gmail and Microsoft Outlook OAuth API integrations to sync inbox messages and automatically halt remaining sequence steps upon prospect reply. ``` Implement Gmail OAuth and Microsoft Graph API integrations for broker mailboxes. Build webhook endpoints and periodic polling routines that check connected inboxes for incoming prospect replies. When an incoming reply is detected from an active campaign prospect, automatically trigger reply suppression: update the prospect status to 'Replied', log the reply context, and cancel all remaining pending sequence steps for that prospect. ``` 6. **Inbound Tenant Requirement Pipeline** — Create the two-sided workflow allowing tenants to post space requirements and brokers to review fit-scored inquiries within the platform. ``` Build a two-sided tenant inquiry portal in Next.js. Create a public submission form where tenants can post their space requirements (square footage, asset class, timeline, market). Build a corresponding broker view that lists inbound tenant inquiries, automatically computes fit scores against the broker's active portfolio or listings, and allows direct in-platform response and conversation management. ``` ### Cost vs paying **Starting costs (one-time):** - Claude Pro AI coding assistant: $20 - Total: ~$20 one-time **Ongoing costs (monthly):** - Vercel Hobby/Pro hosting: $0-20/mo - Neon Serverless Postgres: $0/mo - Total: ~$0-20/mo - Paying for the SaaS instead: $79/mo (Pro Plan) - Build time: 35-50 hours - AI tool credits: $20 one-time (Claude Pro) - Break-even: 1 month ## Sources - [LeaseLineage Homepage & Marketing Content](https://app.leaselineage.com) - [LeaseLineage Pricing Page](https://app.leaselineage.com) - [Decent4 Portfolio & Case Study on LeaseLineage Tech Stack](https://decent4.com)