AI Speed-to-Lead
Every web lead gets an AI call or WhatsApp in under 60 seconds, qualified and booked into your calendar and CRM. For real estate and mortgage teams.
AI Speed-to-Lead & AI Visibility for real estate and mortgage teams
I help real estate teams (5–30 agents) and mortgage-broker and loan-officer teams answer every lead in 60 seconds and get recommended by ChatGPT. I am a full-stack engineer (Next.js, Node, AI) and the founder of Future Frame. You work with me directly: I sell and deliver everything myself.
Founder of Future Frame: futureframesolution.com

Four ways I help, and two founding-price ways to start.
Every web lead gets an AI call or WhatsApp in under 60 seconds, qualified and booked into your calendar and CRM. For real estate and mortgage teams.
Check whether ChatGPT, Gemini, Perplexity and Google AI Overviews recommend you or your competitors, then fix it in 14 days: AI crawler access, schema and structured data, llms.txt, indexing, entity and profile consistency, and answer-first pages. For the same real estate and mortgage teams.
Mobile Core Web Vitals and LCP fixes for Next.js sites in a fixed-price 5-day sprint, from $497.
SaaS platforms, client portals, marketplaces, e-commerce and AI integrations, shipped by the engineer who builds your AI. From $3k.
$297 founding price
$297 founding price for the first 3 clients. Every lead contacted in under 60 seconds, or you get a full refund.
$297 founding price
Start with a free AI-visibility snapshot: do ChatGPT, Gemini and Perplexity recommend you or your competitors? Then a 14-day fix sprint on the gaps.
Shipped products, framed as problem, build and result. The AI speed-to-lead demo comes first, then the AI visibility and speed results.
Problem
Most new leads go unanswered for hours. A 2026 Pied Piper study of 2,198 inquiries to 21 large real-estate brands found only 10% heard from an agent within an hour.
What I built
A configurable end-to-end system: a lead submits a form, an AI calls or WhatsApps them in seconds, qualifies them with vertical-specific questions, books a meeting and saves the lead to the CRM. Built with a Next.js demo console, n8n workflows, Vapi voice, Twilio/Meta WhatsApp, a Groq LLM, Cal.com or Google Calendar, and HubSpot or Google Sheets.
Results
Problem
A brand-new product with no backlinks, no budget and no search presence had to become visible to Google and to AI assistants from scratch.
What I built
I built and optimized it solo for AI visibility: llms.txt, answer-first (GEO) content blocks, schema clean-up (Article with author, deduplicated breadcrumb and FAQ markup), entity signals, topic hubs with deep internal linking, plus Core Web Vitals work.
Results
Problem
A Next.js + MongoDB fashion store was slow on mobile: PageSpeed 77, LCP 4.6 s and a 312 MB image payload.
What I built
A two-day speed fix with no redesign and no new theme: diagnosed with PageSpeed Insights and Core Web Vitals, compressed, converted and resized images, fixed render-blocking scripts and third-party apps, fixed rendering issues, and delivered a before/after report.
Results
Problem
Aitek Solutions, a US-based software house in Chicago, ran client onboarding and delivery over scattered docs and email, and needed one platform for onboarding plus internal team management.
What I built
I led end-to-end frontend and backend development of a multi-tenant client onboarding and team-management platform: strict per-company tenant isolation; Admin, PM, Developer and Client roles; KYC onboarding; a per-service questionnaire engine; milestones and deliverable approvals; agreements with e-signatures; document management; real-time messaging and notifications; and AI-assisted features. Its reusable tenant-isolation, authentication and billing modules sped up later SaaS builds.
Results
Problem
Launch a complete food-delivery platform — ordering, tracking and payments — against a hard 12-week deadline.
What I built
A full delivery platform with real-time order tracking and integrated payments, built on Next.js, Node.js and PostgreSQL.
Results
Problem
A Canadian client wanted a reverse e-commerce marketplace where sellers get instant, condition-based quotes.
What I built
A dynamic pricing engine with a guided condition-assessment flow, plus separate admin and vendor panels with role-based access (MERN).
Results
Production e-commerce storefront on Next.js + TypeScript with Sanity CMS and PostgreSQL — dynamic product pages, Redux cart, Clerk auth, and Stripe checkout.
Modern MERN e-commerce storefront with responsive UX, dynamic listings, and a production-ready checkout flow.
Portal-focused product with end-to-end UI workflows and backend integrations for lead and support operations.
Responsive Quran audio player with reciter selection and surah navigation over a public API. 2nd place, GDSC UET NC Frontend Bootcamp.
Company website and business-solution platform with clean responsive pages and a service-focused information architecture.
Appointment booking and management platform built for operational workflows with efficient scheduling and dashboard views.
Final-year research prototype: a live ML web app that recommends antibiotics from local resistance patterns, with explainable predictions. Not a clinical product.
A simple, predictable path from first call to launch — no surprises on scope or price.
A free 30-minute call to understand your product, your users, and your deadline.
Clear scope broken into milestones, with a fixed price up front — no open-ended billing.
You see working software every week, so we catch direction changes early, not at the end.
A smooth deploy plus typed, documented code you fully own — no lock-in.
I help real estate and mortgage teams answer every lead in 60 seconds and get recommended by AI search, and I build custom software for product teams. I am also the founder of Future Frame. When you hire me, you work with me directly: I scope, build and deliver everything myself. Working with me is straightforward. We start with a clear scope and fixed milestones, you see a working demo every week, and at handoff you own typed, documented code — not a black box. I work remotely from Karachi with afternoon overlap for US, UK, Canada, Australia and UAE teams, so feedback loops stay short and deadlines stay real.
Where the results above were earned.
Apr 2024 – Present
Founder
Nov 2025 – Oct 2026
Full-Stack Developer
Aug 2025 – Oct 2025
MERN Developer (Intern → Full-Time)
The tools I use to ship fast, findable products end to end.
Building
AI speed-to-lead and AI visibility for real estate and mortgage teams, plus custom builds for clients
Founding · Future Frame
Founder of Future Frame, a small studio I co-founded in 2024
Writing
Content and tooling at texttoolsai.app — my own AI-visibility case study
Ask me about
AI speed-to-lead, AI visibility (AEO/GEO), Next.js speed and custom builds
I keep a close eye on the fast-moving AI tooling space and fold what works into client builds.
Book a free 30-minute call and tell me what you're building. If a call is too soon, email works too.
Mon–Fri, 2 PM–8 PM PKT · overlaps the UK working day and US East early morning
Based in Karachi, Pakistan — working remotely with US · UK · Canada · Australia · UAE teams.