Which is more popular?
Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | realtoros.co | github.com |
| Pricing | — | |
| Company | Startup from the United States · 20 - 49 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.
Real estate professionals lose a significant portion of their commissions not because they lack skill — but because no one responds when a lead reaches out. A buyer calls at 8PM. The agent is in a showing. The call goes unanswered. Within minutes, that same lead connects with a competitor who...
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How often each product is chosen within a category, 0–100% relative to the other.
As answered by people managing RealtorOS and mlsql.
RealtorOS's answer
RealtorOS is currently in its early growth stage. The platform serves independent real estate agents, small-to-mid-size brokerages, and real estate teams across the United States who are looking to automate lead handling and client communication.
RealtorOS's answer
RealtorOS is the only platform positioning itself as a full AI Operating System for real estate — not just a CRM, not just a chatbot, but a coordinated ecosystem of specialized AI agents that work together like a team. The voice-first approach, combined with multi-calendar routing, automated lead scoring, and unified messaging, makes it a genuinely end-to-end solution rather than a point tool.
RealtorOS's answer
Unlike generic CRM tools or standalone chatbots, RealtorOS is built exclusively for real estate. It combines voice AI, lead qualification, appointment scheduling, and multi-channel outreach into a single operating system rather than a collection of disconnected tools. The 24/7 AI voice receptionist alone replaces the need for a full-time administrative hire, and the system is designed to scale — with 35 additional AI agents currently in development.
RealtorOS's answer
RealtorOS is built for real estate professionals in the United States — from solo agents and small teams to large brokerages. The ideal user is someone who handles a consistent volume of inbound leads, struggles with follow-up consistency, and wants to automate repetitive tasks without sacrificing the personal touch that real estate relationships require.
RealtorOS's answer
RealtorOS was built to solve a problem every real estate professional faces — too many leads slipping through the cracks because follow-up is manual, inconsistent, and time-consuming. The founders recognized that real estate agents spend more time on administrative tasks than on closing deals. RealtorOS was created to change that by giving every agent access to an AI-powered operating system that handles communication, lead qualification, and scheduling automatically — so agents can focus entirely on clients.
RealtorOS's answer
RealtorOS is built on a cloud-based SaaS architecture using AI voice agents powered by natural language processing. The platform uses automated workflow engines for lead routing and follow-up, real-time webhook infrastructure for instant data processing, and cloud-based calendar integration for appointment management. Customers interact directly with RealtorOS through its web-based interface and AI voice agents — no additional software setup required.
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Recommendations tracked on public social media and blogs since March 2021.
Tracking RealtorOS since Apr 2026.
I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: over 4 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
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