OpenAI 2026 hackathon

pooptracker

A program to track daily poop records

Solo project by 跃凯 许 · 1 likes · 0 comments

Archive position — measured, not model output

1 like on Devpost

506 of the 7,856 archived projects have more likes, and 1,758 share exactly 1 — so this project's #1,689 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

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Likes on Devpost. ▲ marks this project's group.

Show the figures
LikesProjectsShare of archive
05,59271.2%
11,75822.4%
22853.6%
3–41321.7%
5–9751.0%
10+140.2%
Devpost like counts for all 7,856 archived projects, captured when this archive was built.

Executive Summary

PoopTracker is a self-reported iOS application designed to help users log and visualize their daily bowel movement data. The author describes it as a tool for tracking digestive health with an emphasis on privacy, intuitiveness, and scientific accuracy. It was built as part of the OpenAI 2026 hackathon and is presented as a native Swift-based app using SwiftUI and CoreData.

The project is described as a personal or experimental effort by one developer (跃凯 许), with no evidence of commercial traction, revenue, or customer adoption. The author states intentions to integrate HealthKit and add export features, but these are not yet implemented.

Key open question

Is there any indication that this product has moved beyond the prototype stage or gained user engagement?

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What The Product Actually Is

The description states that PoopTracker is a daily logging iOS application for tracking bowel movements. Users can log:

  • Time of defecation
  • Type (based on the Bristol Stool Scale)
  • Personalized notes about diet or hydration

Over time, it generates data visualizations and insights to help identify trends or dietary triggers affecting digestive health.

It was built as a native iOS app, using SwiftUI for UI and CoreData for local data persistence. The app stores logs securely on the user's device, emphasizing privacy.

The author notes that the app is intended to be intuitive, scientifically accurate, and private, with no external data sharing or cloud storage mentioned.

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Positioning & Claim Evolution

The author positions PoopTracker as a solution to a social stigma: "many people struggle to keep track of their digestive health simply because it's considered an awkward or taboo topic."

They claim the app removes this stigma by offering:

  • A fun, intuitive, and highly private way to monitor habits
  • Data visualizations that help users understand their body better
  • A scientifically grounded approach (using the Bristol Stool Scale)

The project’s evolution seems to be from a hackathon prototype to a potential future product with planned integrations like HealthKit and PDF export.

There is no evidence of prior versions, user feedback loops, or market positioning beyond the self-reported narrative.

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Target Customer & ICP

The author states that PoopTracker targets individuals who:

  • Are concerned about gut health
  • Want to monitor their digestive habits
  • Prefer a private, non-stigmatizing method of tracking

It is implied that the app appeals to people interested in personal health monitoring, especially those who may feel uncomfortable discussing bowel movements openly.

However, there is no evidence of specific user personas, market segmentation, or customer interviews. The target audience remains undefined beyond general interest in digestive wellness.

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Business Model & Pricing Evidence

The description does not mention any business model or pricing strategy.

There is no indication of monetization plans, subscription models, freemium offerings, or paid features.

The app is described as a personal project, and the author makes no claims about selling or licensing the software.

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Technical & Delivery Signals

  • Built natively for iOS using:
    • SwiftUI
    • CoreData
    • WatchOS (mentioned in tech tags)
  • Designed with performance and system integration in mind
  • Data stored locally on device to ensure privacy
  • UI crafted for fluidity, responsiveness, and smooth animations

The author mentions challenges in balancing scientific accuracy with user experience design, and that they successfully completed the core tracking loop within a short timeframe.

No evidence of scalability, backend infrastructure, or cross-platform support is provided.

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Traction & Maturity Signals

There is no evidence of:

  • Revenue
  • Customers
  • User adoption
  • Product usage metrics
  • Market validation
  • Product iteration history

The project was submitted to a hackathon and described as a prototype, not a production-ready product. The author notes that the app is still in development, with future features planned.

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Competitive Context

There are no references to existing competitors or similar products in the description.

The author does not discuss how PoopTracker compares to other health tracking apps or digestive monitoring tools.

No mention of market size, competitive landscape, or differentiation strategy.

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Key Risks & Red Flags

  • Unproven market demand: No evidence of user interest or adoption beyond the developer’s own use.
  • Limited scope: The app is described as a prototype with no commercialization plan.
  • Privacy vs. utility trade-off: While privacy is emphasized, the lack of data sharing or integration may limit long-term value.
  • Single-person team: Only one developer is involved, which raises questions about scalability and future development capacity.
  • No monetization strategy: No indication of how the product will generate revenue.

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Diligence Questions To Ask The Founders

  1. What is the actual user base or feedback received so far?
  2. Are there any plans to monetize the app, and if so, what model are you considering?
  3. How do you plan to scale beyond a single developer?
  4. Have you considered how users might share data with healthcare providers?
  5. What are your long-term goals for this product — is it intended as a side project or a commercial venture?

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Investment/Partnership Verdict

The description presents PoopTracker as an experimental, hackathon-based prototype with no evidence of traction, revenue, or customer engagement.

It is not evident whether the app has moved beyond the idea stage or gained any user adoption. The author’s claims about functionality and future plans are unverified.

Confidence level: Low

There is no commercial due-diligence signal from this description alone to support investment or partnership interest. The project appears to be a personal endeavor with no demonstrated market validation or business model.

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Source

Submitted to the OpenAI 2026 hackathon on Devpost. Project home on DevPost.

The analysis above was generated by a language model from the project's own one-line description. It is not independent research and contains no verified traction, revenue or customer data.