№ 01
8 weeks
from kickoff to live multi-location launch
Booking SaaS rebuild
“The product finally replaced the spreadsheet stack.”
↳ Verified outcome · 2025
Hello world, we are
GreedUp
A product engineering studio↳ since 2023
A small team of senior builders helping founders ship websites, AI systems, SaaS products, automations, and deployment paths that survive real users.
5
production products
40+
open repos
Small team
senior builders
1 day
reply time
- NOretainers
- NOaccount managers
- NOsubcontractors
- NOfixed-bid waterfall
↳ just a small team of senior builders shipping the work.
The stack we ship in
Next.js
TypeScript
React
Tailwind CSS
PostgreSQL
Vercel
Docker
OpenAI
Python
FastAPI
Next.js
TypeScript
React
Tailwind CSS
PostgreSQL
Vercel
Docker
OpenAI
Python
FastAPI
What we do
Our Services
One team for the surface, the system, and the ship date. Bring the outcome, and we build the product path around it.
↳ four lanes, one delivery rhythm
Premium websites
Brand, launch, and conversion
Fast marketing sites with sharp positioning, polished UI, SEO metadata, and a component system that can keep growing.
AI & ML systems
Useful models in real workflows
Chat, voice, classification, extraction, agent flows, and evaluation loops wrapped in production product surfaces.
Web apps & software
Dashboards, SaaS, and tools
Multi-tenant products, portals, API integrations, admin systems, and workflow software built for daily use.
Automation & deployment
Less fragile launches
Background jobs, QA checks, CI/CD, release paths, alerts, and production handoffs that make the ship date calmer.
Selected work
Portfolio
Live products we have shipped end to end, with problem, solution, role, stack, visual proof, and public sources.
Multi-tenant booking SaaS
Live + repo proofBookFlow
Booking pages, business website, lead inbox, and AI assistant flows packaged into one public SaaS product.
Stateless AI product
Live + repo proofMeetFuture
A reflective product where users answer deep questions, generate one future-self timeline, and chat with that simulated future self.
Desktop meeting overlay
Live + repo proofMeeting Assistant
An always-on-top Windows assistant for live speech-to-text, translation, and meeting help during Zoom, Meet, and Teams calls.
AI and ML
AI products shipped to real users, not slideware.
- LLM-backed chat and reasoning flows live inside BookFlow and MeetFuture.
- Real-time voice and transcription stacks shipped in Meeting Assistant and AuraSpeak.
- Multi-agent judging and safety pipelines built into LLM Council.
Web and software
SaaS, web apps, and the platform layer that actually runs them.
- Multi-tenant booking SaaS with auth, dashboard, data flows, and AI assistant routes.
- Productivity products with recurring jobs, reminders, calendars, and account systems.
- Self-hosted cloud platforms with builders, routers, logs, and deployment flows.
Process
Small team. Senior craft. A bias toward shipping.
Four phases, every engagement.
- 01
Align on the goal
We lock the product goal, user flow, constraints, and definition of done before the build gets momentum.
- 02
Prototype the risk
The riskiest surface comes first: AI behavior, booking logic, payments, auth, data, or deployment.
- 03
Build production
The app surface, backend, integrations, QA, and release path move together instead of getting bolted on late.
- 04
Ship and document
We launch the smallest useful version, document the system, and make the next iteration obvious.
Team
A small team, one delivery rhythm.
You work directly with the people designing the system and writing the code.
Divyansh Gupta
Generative AI & Platform Engineering
Three years building production AI — voice agents, multi-agent reasoning systems, and the self-hosted cloud infrastructure that runs them. Leads the studio's AI and platform work end to end.
- Hostly — production cloud hosting platform
- AuraSpeak — real-time voice agent shipped to live demo
- LLM Council — multi-agent reasoning system with safety pipeline
Jigyasu Patel
Product Engineering & SaaS
Three years shipping multi-tenant SaaS, AI products, and growth-ready frontends for early-stage founders. Owns the studio's product surface from first prototype to live revenue.
- BookFlow — multi-tenant booking SaaS in production
- MeetFuture — stateless AI product live in market
- Goal Tracker & Meeting Assistant — shipped end-to-end
Nishant Nischal
Full-Stack, Mobile & Web3
Three years of full-stack delivery across web, Android, and on-chain product surfaces. Runs the studio's client engagements and integrates the team's work into shipped systems.
- Full-stack delivery across web and mobile surfaces
- Android and on-chain product integrations
- Primary contact for new client engagements
We measure builders by what's running in production — not what's in a deck.
— The studio
Outcomes
Numbers, not testimonials.
The metric on each story is the one the client cared about. Names withheld where the client relationship needs privacy.
↳ what changed after we shipped
№ 02
<200ms
median end-to-end voice latency target
Voice AI production loop
“The prototype became a real-time product surface.”
↳ Verified outcome · 2025
№ 03
-84%
monthly hosting cost without losing reliability
Self-hosted deployment stack
“Operating costs collapsed after the rebuild.”
↳ Verified outcome · 2025
Production cloud platform
Hostly
A self-hosted, GitHub-connected cloud platform with one-click deployments, automatic builds, custom subdomains, and live build logs — shipped end to end across web app, builder service, and router.
Real-time voice agent
AuraSpeak
An API-first voice agent built for real-time conversational interaction. WebSocket transport, streaming STT and TTS, and a hosted browser demo running in production today.
Multi-agent AI system
LLM Council
A multi-agent decision system where specialized agents, judges, and a synthesis pass cooperate to answer prompts. Ships with a built-in safety gate and an audit pipeline for evaluation.
Let's talk about ideas
Contact Us
Tell us what you want to ship. Send the outcome, constraints, and links you already have. A real builder from the team replies.