Can LeaseLineage be vibe coded?
Prospecting, outreach campaigns, tenant demand, and deal tracking for commercial real estate brokers
A solo broker can build the CRM, CSV prospecting, draft sequences, and pipeline in a contained effort, but reliable contact data, Gmail and Outlook sync, deliverability, compliance operations, and brokerage collaboration are ongoing products.
Jump to the build brief ↓Checked Jul 2026
What you pay today, before any DIY hosting
high editorial confidence
Buildability by layer
Screens, forms, and focused interactions
The repeatable job the product performs
Availability and legality of required data
Uptime, queues, support, and maintenance
Security, compliance, and user confidence
The achievable core
- Import or research prospects, organize them by property or tenant need, draft a reviewed email sequence, and track replies and deal stages.
- Automate a small number of known workflows with logs, retries, and manual recovery.
- A responsive interface with real empty, loading, success, and error states.
The parts a prompt cannot buy
- Apollo and Hunter prospect data
- Gmail and Outlook OAuth and reply sync
- managed sending and deliverability
- brokerage team workspace
- The useful dataset is owned, accumulated, or expensive to reproduce.
- Connectors, OAuth flows, and vendor API changes require constant upkeep.
Why people still pay
They pay to keep contact discovery, inbox connections, reply attribution, sending controls, suppression, reporting, and team access working while they focus on brokerage.
The useful dataset is owned, accumulated, or expensive to reproduce.
Connectors, OAuth flows, and vendor API changes require constant upkeep.
Reliability at the vendor's scale is an operations problem, not a prompt.
The brief
Context, requirements, acceptance criteria, non-goals, and the full production standard — as Markdown, ready for any coding agent.
Build brief — a focused alternative to LeaseLineage
Context
**LeaseLineage** — Prospecting, outreach campaigns, tenant demand, and deal tracking for commercial real estate brokers. It currently costs $79/mo.
A solo broker can build the CRM, CSV prospecting, draft sequences, and pipeline in a contained effort, but reliable contact data, Gmail and Outlook sync, deliverability, compliance operations, and brokerage collaboration are ongoing products.
This brief describes a focused, single-operator replacement for the part of LeaseLineage that is genuinely reproducible. It is deliberately narrower than the product it replaces, and it says so in writing. Build the useful core; do not pretend to have rebuilt the rest.
What you are building
Import or research prospects, organize them by property or tenant need, draft a reviewed email sequence, and track replies and deal stages.
Automate a small number of known workflows with logs, retries, and manual recovery.
A responsive interface with real empty, loading, success, and error states.
Requirements
Functional
Local web app.
SQLite.
CSV import.
Data and integrations
OpenAI API key.
Optional SMTP credentials.
Each of these needs a real account, credential, or quota. Set them up before writing feature code.
Non-functional
Accessibility: semantic markup, labelled controls, visible focus, and reduced-motion support.
Security: server-side secrets, validated input, and no credentials in the client bundle.
Reliability: retries with backoff on external calls, and a clear failure state when a provider is down.
Portability: the operator can export their data and leave without losing it.
Implementation brief
Build me a local commercial real estate outreach workspace to replace LeaseLineage. Requirements:
A local web app using Node, Express, better-sqlite3, and server-rendered EJS,
with a little vanilla JavaScript; store everything in data/leaselineage.db.
Import prospects from CSV with company, contact, title, email, market, asset
class, property, source, and notes; deduplicate by lowercase email.
Show a prospect table with search, filters, tags, and a detail page containing
notes, activity history, and a next-follow-up date.
Let me create a campaign from filtered prospects and draft a three-step email
sequence with the OpenAI API; keep its key and optional SMTP credentials in .env.
Every generated message must remain a draft until I approve it. Support test-send,
scheduled send, daily send limit, unsubscribe footer, and a suppression list.
Poll one IMAP inbox every five minutes, match replies by Message-ID and email,
stop remaining steps for that prospect, and show replies in a unified inbox.
Track opportunities on a kanban board with New, Contacted, Replied, Meeting,
Proposal, Won, and Lost columns; moving a card writes an activity event.
Provide CSV exports for prospects, campaigns, activities, and opportunities.
Bind to localhost only; no accounts or telemetry beyond email and OpenAI calls.
Out of scope: contact-data enrichment, Gmail or Outlook OAuth, multi-user teams,
custom sending domains, and legal compliance guarantees.
Include a README with setup, CSV columns, .env variables, IMAP app-password notes,
backup instructions, and a warning that I remain responsible for lawful outreach.
Delivery standard
Inspect the repository first, then write a short implementation plan before writing code.
Deliver the smallest complete end-to-end workflow first; every primary control must work against persisted data.
Use real validation and storage; never substitute fake dashboards, decorative controls, hard-coded success states, or mock integrations.
Include responsive layouts plus genuine empty, loading, success, validation, and failure states.
Keep secrets server-side in environment variables, provide .env.example, and never commit credentials or user data.
Add structured logs around every external call and return actionable errors without leaking sensitive details.
Write unit tests for the core logic and one automated test of the main user journey.
Finish with a README covering setup, architecture, data location, backups, tests, deployment, and known limitations.
Acceptance criteria
A clean install starts the app using only the README and .env.example.
The primary journey works from first visit through saved result, reload, edit, export, and deletion where applicable.
Invalid input, missing configuration, provider failure, and an empty database each have a usable state.
The interface works at 390px and 1440px, is keyboard navigable, and shows visible focus on every control.
Tests, type checking, linting, and a production build all pass with no ignored failures.
No part of the interface implies a live integration, security guarantee, or scale capability that was not actually built and verified.
Non-goals
Do not build these, and do not claim to have replaced them:
Apollo and Hunter prospect data.
Gmail and Outlook OAuth and reply sync.
Managed sending and deliverability.
Brokerage team workspace.
The useful dataset is owned, accumulated, or expensive to reproduce.
Connectors, OAuth flows, and vendor API changes require constant upkeep.
What you still own after launch
Secure credentials, rotate secrets, and handle provider rate limits.
Run migrations, backups, restores, and dependency updates.
Test the critical journey after every model, API, or hosting change.
Monitor failures and fix the edge cases a first prompt will miss.
Maintain every third-party integration as APIs and OAuth rules change.
Risk
**Operational risk.** The code is achievable; dependable data, integrations, and ongoing operations are the real cost.
Editorial confidence in this assessment: high. No independent one-shot implementation is linked yet.
Prior art
Working open-source software you can read, fork, or borrow from before starting:
[Mautic](https://github.com/mautic/mautic) — Open-source marketing automation platform that covers campaigns and contact management, without the commercial real estate workflow
Generated by [Can It Be Vibe Coded?](https://www.canitbevibecoded.com) · Full report: https://www.canitbevibecoded.com/leaselineage
You still own the product
- Secure credentials, rotate secrets, and handle provider rate limits.
- Run migrations, backups, restores, and dependency updates.
- Test the critical journey after every model, API, or hosting change.
- Monitor failures and fix the edge cases a first prompt will miss.
- Maintain every third-party integration as APIs and OAuth rules change.
Open-source prior art
Before you start
Can LeaseLineage be vibe coded?
Partly, if you narrow it. A solo broker can build the CRM, CSV prospecting, draft sequences, and pipeline in a contained effort, but reliable contact data, Gmail and Outlook sync, deliverability, compliance operations, and brokerage collaboration are ongoing products.
What can an AI coding agent reproduce from LeaseLineage?
Import or research prospects, organize them by property or tenant need, draft a reviewed email sequence, and track replies and deal stages. Automate a small number of known workflows with logs, retries, and manual recovery. A responsive interface with real empty, loading, success, and error states.
What will a DIY LeaseLineage replacement still be missing?
Apollo and Hunter prospect data; Gmail and Outlook OAuth and reply sync; managed sending and deliverability; brokerage team workspace; The useful dataset is owned, accumulated, or expensive to reproduce.; Connectors, OAuth flows, and vendor API changes require constant upkeep.
What do I still own after building a LeaseLineage alternative?
Secure credentials, rotate secrets, and handle provider rate limits. Run migrations, backups, restores, and dependency updates. Test the critical journey after every model, API, or hosting change. Monitor failures and fix the edge cases a first prompt will miss. Maintain every third-party integration as APIs and OAuth rules change.