A PhD journey is often romanticized as a period of deep, uninterrupted intellectual discovery. The reality is quite different. It is an exercise in extreme project management.
Between managing multi-year timelines, tracking hundreds of academic papers, navigating complex supervisor relationships, and hitting writing targets, the actual “research” often gets buried under an avalanche of administrative friction. As a Computer Science PhD candidate myself, I was losing hours every week just trying to remember what I was supposed to be doing.
I looked for tools to help, but everything was either a generic to-do list (which didn’t understand academic workflows) or bloated institutional software (which felt like a chore to use).
So, I built PhD Helper.
The Concept: A Calm Hub for Academic Project Management
PhD Helper is a free iOS application designed exclusively for doctoral students. I wanted to build a single, calm, organized hub that centralized the scattered pieces of a PhD.
The core philosophy of the app is “frictionless capture.” When your brain is full of spectral imaging data or literature reviews, you don’t have the cognitive bandwidth to fight with a complex UI.
I engineered the app around a few core modules:
- The Auto-Generated Roadmap: Users input their start date and target Viva (defense) date, and the app generates a visual timeline, tracking progress percentages and upcoming milestones (like Annual Assessments).
- The Reading Library: A centralized hub to tag papers, take notes, and automatically generate Harvard references for export.
- The Writing Tracker: A gamified timer to track writing sessions, build streaks, and maintain momentum during the drafting phase.
- The ‘Brain Dump’ & Voice Notes: A rapid-capture module allowing students to save fleeting ideas, paper titles, and supervisor notes using text, images, or transcribed voice memos.
The Technical Execution
I developed PhD Helper natively for iOS, prioritizing a fast, responsive user experience.
Beyond the frontend UI, the architecture required robust backend data management to ensure user information (reading lists, tasks, and notes) remained secure and accessible. I implemented strict data control policies, allowing users to fully delete their accounts and wipe all associated Firestore collections with a single tap—a critical feature for maintaining trust and App Store compliance.
I also integrated a lightweight monetization layer. Because I wanted the core tool to remain completely free for struggling students, I utilized RevenueCat to build an optional, non-consumable “Buy Me a Coffee” in-app purchase, allowing users to support the project voluntarily.
The Impact
PhD Helper is now live on the Apple App Store, actively helping doctoral students navigate their research roadmaps.
For me, this project was a masterclass in end-to-end product delivery. It required identifying a highly specific user pain point, designing a targeted solution, writing the codebase, navigating the rigorous App Store review process, and deploying a live product.
It proves that software doesn’t have to be overly complex to be transformative. Sometimes, the most powerful tool you can build is one that simply gives a researcher their brain space back.