About TimeCart — the founder and the mission

The founder

One person. Idea to launch.

Javed is a technology leader and AI product builder who takes products from idea to strategy to architecture to launch. As CTO & Co-Founder of CheersWisdom, he leads teams building AI-driven wellness products across cardiology, kidney-transplant care and child cyberbullying prevention — including a cardiology product that completed clinical trials and was published in the American Journal of Cardiology. He was building with AI before the generative wave, contributing to the design of a linguistic language model in 2021, and recently designed and built Cloud Engine entirely solo — an AI platform that turns plain requirements into three-tier cloud architectures and production-ready Terraform, now patent-pending with a research publication in progress. TimeCart brings that same combination — product thinking, AI/agentic workflow design, evaluation and safety guardrails, and hands-on engineering — into a single pair of hands, applied to a problem he lived himself.

AI Product ManagementGenerative AIAgentic AI AI Platforms & InfrastructureAI Evaluation & GovernanceConsumer AI

Where it all started

Born from a real problem — not a pitch deck.

Moving from Texas to Atlanta, our founder lost an entire week to one simple need: a room. Listings, calls, the same requirement repeated to strangers, his number handed to every platform that asked. When the clock ran out, he settled — a place he didn't 100% like, because the deadline chose, not him.

TimeCart is what a problem-solver builds after a week like that: an app that does the complex, time-consuming, boring, repetitive searching for you, keeps your details private while it works — and gives you your time back.

Our philosophy

Every great interface shift
kills a chore.

Already happened · Search

~~Google gave you ten blue links.~~

ChatGPT gave you the answer.

The world stopped searching and started asking. Billions switched in three years.

Happening now · Services

~~Marketplaces give you endless listings.~~

TimeCart gives you your match.

One sentence in. An advanced AI search and Intelligence Engine — one that learns and improves with every match — brings back the people who can actually do it.

What happened to search is about to happen to services.

For investors

The questions every investor asks — answered straight.

What problem are you solving?

Finding the right person for a need still costs days — searching listings, repeating the same requirement to strangers, handing your number to platforms that sell it. TimeCart collapses that to one sentence: say what you need, and an AI intent engine finds the people who can actually do it, while your contact details stay private.

How big is the market?

Three sourced layers: McKinsey projects $3–5T of consumer commerce mediated by AI agents by 2030; gig-economy platforms — the take-rate layer TimeCart operates in — growing $36.7B → $192.5B by 2035; and 1.57B people already doing independent work worldwide, so the supply side exists today.

McKinseyBusiness Research InsightsSources on the investor brief

Why now?

Every time the interface to demand changes, marketplaces built on the old interface get unbundled — mobile did it to Craigslist. The interface just changed again: ChatGPT passed 900M weekly users and 37% of consumers now start searches with AI. Stating an intent is the new front door, and today's listing marketplaces are the new Craigslist.

Why won't ChatGPT just do this?

A model can understand the sentence — it cannot show up with a wrench. The moat is a real supply side, brokered transactions where contact details are never exposed, an intent-data flywheel where every fulfilled request improves the next match, and explainable matching a chat window has no path to replicate.

How do you make money?

People don't pay to keep chatting — they pay to get the plumber today. TimeCart charges at exactly that moment: a capped free tier builds the habit, day/week/fortnight passes price urgency, Pro serves providers and heavy requesters, and messaging allowance sells conversation capacity at peak intent — all through Apple's in-app purchase rails, already built and server-verified.

Where are you today?

Built, not promised. The full loop is deployed on iOS: voice and text intent capture, semantic matching with LLM re-ranking live in production, in-app chat and calls, moderation and match-audit infrastructure, and server-verified billing. Next: App Store launch and first-city provider liquidity. No vanity numbers here — live metrics are shared in the data room.

Deeper cut — the full brief with a live product demo against the market leaders, and every claim footnoted to its source:

Read the investor brief

Track record

Shipped, published, patent-pending.

CTO & Co-FounderCheersWisdom

AI-driven wellness products across cardiology, kidney-transplant care and child cyberbullying prevention — built with CEOs, ML architects, researchers and engineering teams.

Clinical trials completed · Published in the American Journal of Cardiology

Solo buildCloud Engine

What if cloud architecture could be dramatically simplified with AI? Requirements in — three-tier architectures, production-ready Terraform and deployment workflows out. Frontend, backend and AI workflow built by one person.

Patent pending · Research publication in progress

Now · Founder & CEOTimeCart

The AI intent marketplace. Say what you need in one sentence; AI-driven intent understanding and decisioning finds the people who can do it — beyond search-and-scroll, with privacy built in.

Built end-to-end · iOS launch ahead

Every great interface shiftkills a chore.

The questions every investor asks — answered straight.

Shipped, published, patent-pending.

Every great interface shift
kills a chore.