B Anish Bonagiri Anish Portfolio
PM by ambition. Engineer by training. Reads RCA teardowns for fun.
At RealPage, I co-built PMOrbit from 0→1, helping executives gain real-time visibility across 40+ teams while reducing handoff friction by 40%.
Engineer turned product thinker
I'm a recent IT graduate from Hyderabad who spent a year at RealPage co-owning PMOrbit — a production project management platform built from 0 to 1 for PMO leads and executive leadership. I ran user interviews, managed the roadmap, defined requirements, and shipped features that reduced handoff friction by 40%.
My background is full-stack — React, TypeScript, .NET Core, SQL — which means I can sit in a system design conversation and a user interview in the same day and add value in both. I don't need things explained twice.
I'm currently looking for APM or PM roles where I can own a product area end to end. If you're building something real and need someone who moves fast, thinks in user problems, and writes specs developers can build from — let's talk.
Outside of work, I follow cricket more closely than I should and have opinions about Hyderabad biryani that most people disagree with.
React · TypeScript · .NET Core (C#) · REST APIs · SQL · Python · Figma
Where I've built things
- The Problem: Fragmented workflows across Jira, Asana, and Monday.com caused low visibility and high handoff friction for leadership across 40+ teams.
- Business Outcome: Reduced handoff friction by 40%, improved executive dashboard load times by 97.3%, and restored 100% notification delivery reliability.
- Conducted user interviews with PMO leads and executives, translated findings into requirements and user stories
- Co-owned product roadmap, maintained prioritised backlog across sprint cycles
- Delivered role-aware dashboards, automated RAID logs, and portfolio overviews — reducing handoff friction by 40%
- Shipped AskOrbit: an AI chatbot for querying project health in natural language
- Re-engineered KPI widgets and risk heatmaps, achieving 97.3% faster load times
- Built automated PDF executive report generation
- Restored 100% delivery reliability by migrating email/SMS orchestration into resilient config services
- Mapped login-to-dashboard funnel, uncovered two critical UX gaps resolved in next sprint
Ships change minds. Specs don't.
I've seen brilliant PRDs kill momentum. At RealPage I learned to get features in front of users fast — even rough ones — because a working thing in someone's hands tells you more than six rounds of internal alignment ever will.
If the dev is confused, the spec is wrong.
Requirements exist to make building obvious. I rewrite until the first question from engineering is "when do you need this?" not "what does this mean?" That's the only measure of a good spec.
Talk to users before you have a solution.
50+ user interviews at RealPage. The most useful ones had zero assumptions going in. Most PMs use interviews to validate — I use them to understand. The difference shows in what actually gets built.
What I've built & thought through
PMOrbit
Built a production project management platform from 0 to 1 for PMO leads and executive leadership at RealPage.
The Problem
Fragmented project data across Jira, Asana, and Monday.com created silos, manual reporting overhead, and no single source of truth for executive leadership.
Business Outcome
Reduced handoff friction by 40%, restored 100% notification reliability, and reduced executive dashboard load times from 30s to 800ms.
0→1
Built from zero to production
40%
Reduction in handoff friction
97.3%
Faster dashboard load time
50+
User interviews conducted
KeyStay
A PRD for a vacation rental management platform with AI-driven pricing and streamlined guest communication for property hosts.
Problem
Vacation rental management is heavily fragmented for small-to-medium hosts, leading to suboptimal pricing and manual, time-consuming guest communication.
Outcome
Projected to increase host revenue through AI-driven dynamic pricing and reduce manual messaging time by 70%.
AgriDrone
A SaaS marketplace connecting farmers with licensed drone operators for on-demand aerial pesticide and fertilizer application.
Problem
Agricultural drone services are inaccessible to small-to-medium farmers due to fragmented operator discovery, lack of trust, and geographic mismatch.
Outcome
Designed to unlock a new revenue channel for drone operators while reducing crop loss for farmers by enabling timely aerial interventions.
Gymate
A location-based social fitness app connecting gym-goers with compatible workout partners through intelligent matching and a swipe-based interface.
Problem
Gym-goers struggle to find reliable, compatible workout partners with similar fitness goals and schedules, leading to decreased motivation and consistency.
Outcome
Aimed at improving user retention for gym memberships by fostering social accountability and reducing churn.
Asana & Trello
A PM metrics deep-dive into Asana and Trello — north star definition, supporting hierarchy, rejection rationale, and guardrails for two divergent takes on collaborative work management.
Problem
PMs often struggle to define clear north star metrics and supporting hierarchies for divergent collaborative work management platforms, leading to misaligned product guardrails.
Outcome
Provided actionable guardrails for product teams to align on north star metrics and prevent feature bloat.
Stack Overflow
Root cause analysis of Stack Overflow's 50%+ traffic decline in the AI era — how ChatGPT, community decay, and product stagnation converged to displace a market leader.
Problem
Stack Overflow experienced a massive 50%+ traffic decline due to the rapid adoption of AI coding assistants, community decay, and prolonged product stagnation.
Outcome
Identified core drivers behind the traffic drop, highlighting critical areas for community reactivation and AI adaptation.
LinkedIn for Freshers
A product enhancement proposal for LinkedIn — reducing the job-search friction freshers face when no explicit 0-experience filter exists and every posting requires manual inspection.
Problem
Fresh graduates face high job-search friction on LinkedIn due to the lack of explicit zero-experience filters, forcing manual inspection of every entry-level posting.
Outcome
Proposed UX changes projected to increase entry-level job application completion rates and reduce user drop-off in the zero-experience segment.
Cluely
Product teardown and competitive analysis of the AI overlay that turned 'cheating on interviews' into a venture-backed company — examining whitespace, growth mechanics, and strategic pivots.
Problem
The proliferation of asynchronous AI overlays has fundamentally altered technical interviews, creating a need to understand the growth mechanics and strategic pivots of venture-backed 'interview aid' platforms.
Outcome
Deconstructed the growth loop of a controversial AI tool to highlight exploitable market gaps in the tech interview landscape.
Arattai
Root cause analysis of Zoho's Indian messaging app that hit #1 in downloads then lost 99% of its user base within 8 weeks — a masterclass in what network-effect products get wrong.
Problem
Despite hitting #1 in downloads during the WhatsApp privacy backlash, Zoho's Arattai lost 99% of its user base within 8 weeks due to a failure to sustain network effects.
Outcome
Diagnosed the failure of a viral app, offering a framework for sustaining network effects post-acquisition.
AskOrbit
An AI chatbot embedded inside PMOrbit that answers project health questions in natural language instead of requiring dashboard navigation.
Problem
Dashboard navigation was slow when PMO leads and executives just needed one data point — most sessions were information retrieval, not exploration.
Outcome
Replaced multi-click dashboard navigation with direct natural-language answers, reducing session time for retrieval-only queries.
College ERP
A product teardown of CampX, the ERP used at Geethanjali College — the most painful workflow, why it happens, and a concrete redesign recommendation.
Problem
CO attainment entry for NBA accreditation is entirely manual even though the marks and CO mapping already exist in the system — faculty spend 3-5 hours per course per semester on it.
Outcome
Proposed an automated attainment engine and one-click NBA report generation, targeting under 20 minutes of manual work per faculty member per semester.
LinkedIn DAU Drop
A structured root cause analysis for a hypothetical 15% LinkedIn DAU drop in India over two weeks, from signal clarification to ranked hypotheses.
Problem
LinkedIn's daily active users in India drop 15% over two weeks with no obvious single cause, across internal, external, and funnel signals.
Outcome
Ranked five hypotheses by likelihood and defined concrete validation steps — a structured path from symptom to root cause.
How I think in public
The PM Skills I Didn't Expect to Learn as a Developer
Writing code teaches you more about product than most PM courses.
Read on Medium→7 min readI Applied to Several PM Roles in One Week. Here's What the Process Actually Looks Like.
An honest breakdown of the APM/PM application process in 2025.
Read on Medium→4 min readThat "Summarize with AI" Button Might Be Lying to You
The hidden risks of trusting AI summaries for important decisions.
Read on Medium→6 min readAnthropic Just Released a Report on AI and Jobs. Here's What It Actually Means for Freshers.
Reading between the lines of a landmark study.
Read on Medium→4 min readYou Can't Out-Code a Machine. Here's What You Can Do.
On staying relevant when AI can write the code for you.
Read on Medium→View profile →Read More on Medium
All my writing on product, AI, and the craft of building things people actually use.
Read on Medium→Let's talk.
Hyderabad — open to relocating · Available immediately
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