Python Examples
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Klosed
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This is a huge collection of Python Examples and Python Programs. Complete your Python Projects with the help of Python Code Examples that we present with lucid explanation.
In these Python Examples, we cover most of the regularly used Python Modules; Python Basics; Python String Operations, Array Operations, Dictionaries; Python File, Input & Output Operations; Python JSON Processing; Python GUI.
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.
Python Examples KlosedKlosed'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.
PythonAnywhere - Host, run, and code Python in the cloud: PythonAnywhere
Automaticall - Warm up your leads with AI phone calling!
Learn Python The Hard Way - One of the best guides to learn Python & coding in general
Jeeva.ai - Building AI employees to automate manual and repetitive tasks for companies. We built fully automated SDRs using AI to automate lead finding, enriching, and outreach to create 2x more pipeline than a SDR team at a fraction of the cost.
