Klosed
Automaticall
Jeeva.ai
Kyzo AI
React Complex Tree
Pagedraw - Beta release
Klosed is an AI-powered lead reactivation platform built specifically for real estate agents. It automatically texts the dormant leads in your database โ past clients, expired inquiries, open-house signups, cold portal leads โ in your voice, qualifies replies with natural conversations, and hands warm buyers and sellers back to you ready to work.
What it does: - Automates SMS reactivation across your entire dormant database - Handles objections (rate concerns, timing hesitations) with natural back-and-forth - Qualifies replies to identify serious buyers and sellers - Routes warm conversations back to you in real time with full context - TCPA-compliant with automatic opt-out handling - Runs 24/7 without recruiting, training, or managing a person
Who it's for: Solo real estate agents and small teams (1-5 agents) with 500+ dormant leads sitting in a CRM. Especially valuable for agents who have databases of past clients, expired inquiries, or old portal leads they've stopped following up with.
Pricing: Flat $299/month per agent. No setup fee. 14-day free trial with no credit card required.
Used by agents at: SERHANT Beverly Hills, RE/MAX Advantage, and other brokerages.
Founded and operated by Logan Bates, solo founder.
Klosed React Complex TreeKlosed's answer
Klosed is the only AI reactivation tool built specifically for solo agents and small teams, with flat SaaS pricing and self-serve setup. Most tools in the space are either bespoke enterprise services (Pura Vida Data), full-service ISA replacement platforms (RealEstateISA, Structurely), or CRMs that add AI as a feature (Follow Up Boss, kvCORE). Klosed does one thing exceptionally well: reactivating dormant leads via SMS, in the agent's voice, with automatic qualification and warm-lead handoff. Predictable $299/month, no setup fee, no long-term contract.
Klosed's answer
Three reasons. First, transparent pricing โ flat $299/month per agent vs. competitors that charge $500-$2,500/month with setup fees and long-term contracts. Second, purpose-built focus โ Klosed is optimized for dormant lead reactivation specifically, not enterprise ISA replacement or full-funnel CRM. Third, real proof โ used by agents at SERHANT Beverly Hills and RE/MAX, with real conversation screenshots showing reactivation on year-cold leads, including a $2.5M Malibu buyer surfaced from dormant SERHANT leads.
Klosed's answer
Solo real estate agents and small teams (1-5 agents) with 500+ dormant leads sitting in their CRM. Especially valuable for agents with databases of past clients, expired inquiries, open-house signups, or old portal leads (Zillow, Realtor.com, Facebook) that they've stopped following up with. Ideal customer: an established agent with 3+ years of business who has thousands of contacts but no time to work them manually.
Klosed's answer
Klosed was founded by Logan Bates, an 18-year-old solo founder who went full-time on the project in 2026. The idea came from watching agents systematically ignore the leads they'd already paid to acquire while spending thousands more on new leads that convert at 1-2%. The first proof point came from manually running the reactivation playbook on a (SERHANT Beverly Hills) agent's dormant database โ surfacing a $2.5M Malibu buyer and multiple qualified sellers within weeks. That validated the wedge: agents don't need more leads, they need to work the ones they have.
Based on our record, React Complex Tree seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You can find the source code for it at https://github.com/lukasbach/react-complex-tree, and documentation and examples at https://rct.lukasbach.com. Source: over 3 years ago
More examples on the customizability, in-depth documentation and a typing API is available at the documentation homepage: https://rct.lukasbach.com/. Source: about 5 years ago
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