How a Former Finance Professional Built a Self‑Discipline App for Under $300/Month

Background and Motivation

During a cold winter evening, the author, a former finance professional, failed to convince himself to go for a run and realized that existing self‑discipline tools could not curb his procrastination. Determined to solve his own problem, he decided to build a custom app because writing code is his core skill.

Problems with Existing Apps

He evaluated popular self‑discipline apps and found two main issues: some apps gave only weak pop‑up reminders that were easily ignored, while others locked the phone so aggressively that users could still bypass restrictions by using other devices such as tablets, computers, or smartwatches. Neither extreme satisfied his need for effective yet livable constraints.

Design of “Lock to Do”

The new app combines phone locking with goal setting. Users define a target (e.g., a workout, study session, or early bedtime). Once a task starts, selected phone functions are locked until the goal is truly completed, preventing premature unlocking.

Key Features

Revival Point : To unlock the phone mid‑task, the user must first reach a pre‑set physical location such as the apartment entrance or a nearby convenience store, creating a tangible barrier to “giving up”.

AI Judge : An AI component evaluates current weather, health data, and calories burned to decide whether a temporary unlock is reasonable.

Crazy Mode : For severe procrastinators, the task becomes immutable—no edits, deletions, or pauses are allowed, and the app blocks distracting platforms (e.g., B‑Station, Xiaohongshu) at the UI level, removing the temptation to scroll.

AI‑Assisted Development

Approximately 99% of the code was generated by AI tools such as Claude Code and Codex. The author ran multiple models in parallel, assigning different modules to each, while focusing his time on product design, code review, and overall architecture. He views AI not as a replacement for product thinking but as a multiplier of personal productivity.

Product Launch and User Feedback

The app was launched quietly without aggressive marketing. Early users were recruited from comment sections of platforms like Xiaohongshu and B‑Station. Feedback revealed that fixed‑time tasks felt too pressuring, leading to a shift toward cumulative completion, and that some mode combinations conflicted, prompting bug fixes. Features evolved iteratively through these feedback loops rather than being fully designed upfront.

Cost‑Effective Cloud Infrastructure

Alibaba Cloud’s OPC package served as the backbone. After purchasing a domain, the author provisioned an ECS instance, a managed database, and essential services, keeping operational overhead low. By offloading only login and payment functions to the cloud and running the main workload locally, monthly expenses stayed between 100–200 yuan, well within the “under 300 yuan” claim.

OPC Skills for One‑Person Companies

Alibaba Cloud provides two OPC‑specific skills: “OPC One‑Person Company Resource Selection Advisor” translates business needs into a concrete cloud product list, and “OPC One‑Person Company Deployment Assistant” automates the provisioning and deployment steps. The author demonstrates how a conversational prompt can generate a cost‑optimal solution for a self‑discipline app.

Conclusion

The end‑to‑end journey—from idea, through AI‑augmented development, to user‑driven refinement and low‑cost cloud deployment—shows that a single founder can turn a personal pain point into a viable product without a large team, as long as AI and cloud services are leveraged effectively.