Karachi, PakistanAvailable for projectsUS / UK / Canada / Australia / UAE

AI Speed-to-Lead & AI Visibility for real estate and mortgage teams

MuhammadAdnan

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

Portrait of Muhammad Adnan, full-stack engineer
Fig. 1 — Muhammad Adnan, Karachi, Pakistan
React.js✦Next.js✦TypeScript✦Redux✦Tailwind CSS✦shadcn/ui✦Node.js✦Express.js✦NestJS✦REST API Design✦JWT✦Stripe✦PostgreSQL✦MongoDB✦Prisma✦Sanity CMS✦Python✦FastAPI✦scikit-learn✦SHAP✦Generative AI✦n8n✦Core Web Vitals✦Lighthouse✦Schema markup✦llms.txt✦SSR / SSG✦Docker✦GitHub Actions✦CI/CD✦Vercel✦
§ 01Services

What I build for you

Four ways I help, and two founding-price ways to start.

01

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.

02

AI Visibility (AEO/GEO)

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.

03

Next.js Speed Fix

Mobile Core Web Vitals and LCP fixes for Next.js sites in a fixed-price 5-day sprint, from $497.

04

Custom Builds

SaaS platforms, client portals, marketplaces, e-commerce and AI integrations, shipped by the engineer who builds your AI. From $3k.

Founding-client pilot · first 3 clients

14-day AI Speed-to-Lead Pilot

$297 founding price

$297 founding price for the first 3 clients. Every lead contacted in under 60 seconds, or you get a full refund.

Founding-client offer

AI Visibility Audit + 14-day fix

$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.

§ 02Selected Work

Case Studies

Shipped products, framed as problem, build and result. The AI speed-to-lead demo comes first, then the AI visibility and speed results.

01My product · Working demo

AI Speed-to-Lead Agent

Next.jsn8nVapiTwilio / Meta WhatsAppGroqCal.comHubSpot

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

  • Working demo and internal pilot, not a client deployment. No client results yet.
  • Live end-to-end flow: form, voice or WhatsApp, qualification, booking, CRM record, human handoff
  • 10 industry templates and a live event timeline in the demo console
02My own product · AI Visibility

Text Tools AI

Next.jsllms.txtSchemaGEO / AEOCore Web Vitals

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

  • Average Google position ~68 to ~12 in 3 months (Aug–Nov 2026)
  • 97 of 172 pages averaging a top-10 position; 33,086 impressions over the last 3 months
  • 3,502 impressions in Google’s AI features over 3 months; cited in AI answers by ChatGPT, Gemini and Perplexity
  • PageSpeed 100 desktop / 93 mobile
03Delivered via Aitek Solutions (US software house)

Fashion e-commerce store: mobile speed

Next.jsMongoDBPageSpeed InsightsCore Web Vitals

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

  • Mobile PageSpeed 77 to 99
  • LCP 4.6 s to 2.1 s
  • Image payload 312 MB to 15 MB; accessibility score 85 to 100
04Aitek Solutions (US software house) · Full-Stack Developer

Aitek Client Portal

Next.js 14NestJSPrismaPostgreSQLClerkSocket.IOTurborepoDocker
Read case studyPrivate project

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

  • Used daily by the company’s active client base
  • Strict tenant isolation across every role
  • Production-deployed with dev, UAT and production pipelines
  • Private project — no public link
05Client · Food delivery

Quiquiq

Next.jsNode.jsPostgreSQL
Private project

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

  • Shipped inside the 12-week deadline
  • Real-time order tracking and integrated payments
06Freelance · Canadian client

REHASH

ReactTypeScriptNode.jsExpress.jsMongoDB

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

  • Live marketplace with working vendor and admin operations
  • Instant, condition-based pricing for sellers
More work
01
E-CommercePayments

Dine Market

Production e-commerce storefront on Next.js + TypeScript with Sanity CMS and PostgreSQL — dynamic product pages, Redux cart, Clerk auth, and Stripe checkout.

Next.jsTypeScriptSanityStripeClerk
View live
02
E-CommerceMERN

Swift Mart

Modern MERN e-commerce storefront with responsive UX, dynamic listings, and a production-ready checkout flow.

ReactNode.jsExpress.jsMongoDB
View live
03
PortalBusiness App

Wolf of Arches Portal

Portal-focused product with end-to-end UI workflows and backend integrations for lead and support operations.

ReactNode.jsPostgreSQL
View live
04
FrontendAwarded

Quran Audio Player

Responsive Quran audio player with reciter selection and surah navigation over a public API. 2nd place, GDSC UET NC Frontend Bootcamp.

ReactTailwind CSSREST APIs
View live
05
Business SiteFrontend

NIJ Web Solution

Company website and business-solution platform with clean responsive pages and a service-focused information architecture.

Next.jsTailwind CSSTypeScript
View live
06
SchedulingDashboard

Appointment System

Appointment booking and management platform built for operational workflows with efficient scheduling and dashboard views.

Next.jsNode.jsMongoDB
View live
07
AI ResearchPrototype

AURA

Final-year research prototype: a live ML web app that recommends antibiotics from local resistance patterns, with explainable predictions. Not a clinical product.

Pythonscikit-learnFastAPISHAPDockerNext.js
View live
§ 03How it works

Process

A simple, predictable path from first call to launch — no surprises on scope or price.

  1. 01

    Discovery call

    A free 30-minute call to understand your product, your users, and your deadline.

  2. 02

    Scoped plan & fixed quote

    Clear scope broken into milestones, with a fixed price up front — no open-ended billing.

  3. 03

    Weekly demos

    You see working software every week, so we catch direction changes early, not at the end.

  4. 04

    Launch & handoff

    A smooth deploy plus typed, documented code you fully own — no lock-in.

§ 04Profile

About

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.

By the numbers
68→12
Avg. Google position · texttoolsai.app (Aug→Nov 2026)
100
PageSpeed desktop · texttoolsai.app
40%
Faster page loads
50%
Faster time-to-market
12 wk
Delivery deadline hit
§ 05Dispatches

Experience

Where the results above were earned.

01Founder

Apr 2024 – Present

Future Frame

Founder

  • Co-founded a 3-person studio; I personally lead AI Speed-to-Lead and AI Visibility work for real estate and mortgage teams
  • Built a working speed-to-lead demo: form, AI voice or WhatsApp in under 60 seconds, qualification, booking and CRM record
  • Run my own AI-visibility case study at texttoolsai.app: average Google position ~68 to ~12 in 3 months
02Remote

Nov 2025 – Oct 2026

Aitek Solutions

Full-Stack Developer

  • Built a multi-tenant client-delivery platform (Next.js 14 + NestJS, Turborepo) now used daily by a US software house’s clients
  • Shipped Quiquiq — a food delivery platform with real-time tracking and payments — inside a 12-week deadline
  • Engineered reusable Next.js + PostgreSQL SaaS foundations that cut time-to-market for new builds by 50%
03Remote

Aug 2025 – Oct 2025

Bizneedle

MERN Developer (Intern → Full-Time)

  • Cut Hospital Management System page loads by 40% via code-splitting and image optimization
  • Built and documented REST APIs (Node/Express + MongoDB) with JWT role-based access
  • Converted from intern to full-time on the strength of the performance work
§ 06Capabilities

Tech Stack

The tools I use to ship fast, findable products end to end.

01

Frontend

  • React.js✓
  • Next.js✓
  • TypeScript✓
  • Redux✓
  • Tailwind CSS✓
  • shadcn/ui✓
02

Backend

  • Node.js✓
  • Express.js✓
  • NestJS✓
  • REST API Design✓
  • JWT✓
  • Stripe✓
03

Databases

  • PostgreSQL✓
  • MongoDB✓
  • Prisma✓
  • Sanity CMS✓
04

AI & ML

  • Python✓
  • FastAPI✓
  • scikit-learn✓
  • SHAP✓
  • Generative AI✓
  • n8n✓
05

Performance & AI Search

  • Core Web Vitals✓
  • Lighthouse✓
  • Schema markup✓
  • llms.txt✓
  • SSR / SSG✓
06

DevOps & Tools

  • Docker✓
  • GitHub Actions✓
  • CI/CD✓
  • Vercel✓
§ 07Stop Press

Currently

Building

AI speed-to-lead and AI visibility for real estate and mortgage teams, plus custom builds for clients

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.

§ 09Correspondence

Slow lead response, invisible to AI search, or a product to build?

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.

Send a dispatch