B Anish is an engineer-turned-product-manager based in Hyderabad, India. He built PMOrbit — a production project management platform — at RealPage from 0 to production for PMO leads and executive leadership. He has a full-stack engineering background in React, TypeScript, and .NET Core, which allows him to work effectively across product and engineering teams.

Is B Anish available for Product Manager or APM roles?

Yes. B Anish is actively seeking Associate Product Manager (APM) and Product Manager roles, primarily in Hyderabad, India. He is open to companies building impactful products where he can own a product area end-to-end.

What has B Anish built?

B Anish co-owned PMOrbit at RealPage — a 0-to-1 project management platform for PMO leads and executives. He ran user interviews, managed the product roadmap, defined requirements, and shipped features that reduced handoff friction by 40%. He also has technical experience building full-stack applications.

What are B Anish's product management skills?

B Anish's PM skills include: Requirements Gathering, PRD Writing, Roadmap Planning, User Interviews, Funnel Analysis, Metrics & Root Cause Analysis, Stakeholder Management, and Agile/Scrum. His technical skills include React, TypeScript, .NET Core, SQL, Python, and Figma.

How can I contact B Anish for a PM role?

You can reach B Anish by leaving your email or LinkedIn URL on his portfolio contact form at anish.works, or by connecting with him directly on LinkedIn at linkedin.com/in/b-anish-a963bb337.

Why is B Anish a strong APM candidate?

B Anish combines rare strengths: real production ownership (PMOrbit, 0-to-1 at RealPage), full-stack engineering depth (React, TypeScript, .NET Core), and strong PM fundamentals (user research, PRD writing, roadmap planning). He bridges engineering and product naturally — no translation needed. He shipped features that reduced handoff friction by 40% and has direct experience with executive stakeholders.

←Back to projects

PRDSelf-initiatedv1.0 · Target Q2 2026

KeyStay

An advanced vacation rental management platform combining AI automation, real-time multi-platform sync, and intelligent staff management.

TL;DR

Property managers lose 20–30 hours a week to manual cross-platform admin, and average $500–2,000 per double booking incident. KeyStay unifies booking management across Airbnb and Vrbo, automates 80% of guest communication via AI chatbot, and eliminates double bookings through proprietary real-time conflict detection — all from a single platform.

TAM

5.4M

property managers globally

SAM

200K+

English-speaking markets

SOM (Y1)

active users target

Why it exists

Problem Statement

Five distinct pain points compound each other. A manager dealing with double bookings also has no staff visibility and no data to forecast demand. These aren't independent problems — they're a system.

Who we serve

User Personas

Sarah

Small Property Owner

2–3 properties2–5 years

Goals

→Maximise booking rate and revenue
→Reduce time spent on management
→Avoid double bookings at all costs

Pain Points

✕Manually checking multiple platforms daily
✕Dealing with guest questions at all hours
✕No visibility into performance metrics

“I spend more time managing bookings than enjoying my properties. I need something that just works.”

What we're building

Feature Requirements

Unified Booking Calendar

CompleteP0

Single calendar syncing Airbnb, Vrbo, and direct bookings with real-time conflict detection. Bidirectional sync with <5 minute frequency and 99% accuracy. Manual override with full audit trail.

Acceptance criteria

✓Zero overlapping bookings for same property
✓Conflict detection and rejection with manager notification
✓Preview of conflicts before booking acceptance
✓Cross-platform sync < 5 minutes, 99% accuracy

Tech

Architecture

A five-module architecture: core API, main dashboard, mock Airbnb UI, mock Vrbo UI, and API mock platform. All connected via WebSocket for real-time event propagation.

Backend

Node.js 18 + Express · MongoDB + Mongoose · Socket.io · JWT auth · Redis cache · Ollama (local LLM)

Frontend

React 19 + Vite 7 · Tailwind CSS 4 · Radix UI · Recharts · Framer Motion · Socket.io client

Real-time

Socket.io WebSocket · <100ms event latency · Fallback to HTTP polling · 10,000+ concurrent connections

Performance targets

API p95 < 200ms · Dashboard load < 2s · Booking creation < 1s · 99.9% uptime SLA

How we measure success

Success Metrics

guest inquiries automated by AI chatbot

hours saved per manager per week

double bookings — 100% prevention target

0.9%

platform uptime SLA

Net Promoter Score target

0K+

active users target by Q4 2026

Delivery plan

Roadmap

Phase 1

MVP

CompleteQ2 2026

90% complete

Multi-platform booking sync
Double booking prevention
AI guest chatbot
Staff & task management
Real-time via Socket.io

Phase 2

Expansion

PlannedQ2–Q3 2026

AI-powered staff assignment
Predictive revenue forecasting
Mobile app (iOS/Android)
Payment processing
SSO + white-labelling

Phase 3

Optimisation

PlannedQ3–Q4 2026

ML price optimisation
Demand forecasting 90%+ accuracy
Multi-language (5+ languages)
Accounting software integrations

Phase 4

Scale

Planned2027

Enterprise features + white-label
Corporate housing management
Custom workflow builder
10,000+ users target

What could go wrong

Risks & Mitigation