OpenAI 2026 hackathon

Besideme

A quiet desktop companion that helps you focus, rest, and return without judging your progress.

Team of 2 · 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 #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

What the company appears to be: Besideme is a self-reported macOS desktop companion app built as a hackathon project. The description states it aims to help users focus, rest, and return without judgment by maintaining context of unfinished work. It uses an animated cat that changes behavior based on user state (idle, focusing, resting, celebrating) and optionally senses local application changes without accessing private data.

What changed: The project is described as a working prototype built in a hackathon timeframe using AI tools (GPT-5.6 for concept exploration, Codex for implementation). It evolved from an idea of "quiet support" to a functional desktop app with UI/UX and technical components.

Single most important open question: Is there any evidence of user adoption, feedback loops, or traction beyond the hackathon submission? The description provides no data on usage, retention, or customer validation.

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What The Product Actually Is

The description states that Besideme is a macOS desktop companion app. It includes:

  • A small animated cat that stays on the desktop
  • A control panel for managing focus flow (start, rest, resume, finish)
  • A floating companion window with transparent image behavior
  • Optional local sensing to detect context changes (without reading private data)
  • Support for focus rounds, rest periods, and progress confirmation
  • User-controlled outcomes: the app does not judge success or failure

The app is built using:

  • Electron, React, TypeScript, Vite
  • AI tools: GPT-5.6 (for concept exploration), Codex (for implementation)
  • Local-first architecture

Inference: The product appears to be a desktop productivity companion designed to reduce friction when returning from interruptions, rather than a traditional task tracker or monitoring tool.

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Positioning & Claim Evolution

The description states that Besideme is not a productivity tracker, nor does it judge users or force constant focus. Instead, it is positioned as a quiet companion that helps users return to work without stress.

Key claims:

  • It aims to help users "work, rest, and return without losing their place"
  • The cat companion should feel like "something sitting beside you while you work, rather than something watching over you"
  • It avoids judgmental behavior by letting users confirm outcomes
  • It uses AI tools to explore directions but does not auto-decide user success or failure

Inference: The positioning evolved from a general idea of "supportive presence" to a specific UI/UX experience with emotional tone and interaction design.

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Target Customer & ICP

The description states that Besideme is for users who:

  • Often interrupt their work
  • Need help returning after breaks or switching tasks
  • Want a non-judgmental companion
  • Prefer low-pressure support

It does not specify a defined customer segment beyond general "users of desktop productivity tools" or "people who struggle with focus."

Inference: The target is likely knowledge workers, especially those who experience frequent interruptions and want gentle support in managing their workflow.

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Business Model & Pricing Evidence

The description states that Besideme is a self-reported hackathon project. There is no mention of:

  • Revenue streams
  • Pricing models
  • Monetization strategy
  • Customer acquisition plans

Inference: No business model or pricing evidence is provided beyond the fact that it's an app built for personal use in a hackathon.

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Technical & Delivery Signals

The description states:

  • Built as a local-first macOS desktop app
  • Uses Electron, React, TypeScript, Vite
  • Implemented with Codex to understand and extend Electron project structure
  • Features include:
    • Transparent companion window behavior
    • Alpha-aware hit testing for dragging
    • Speech-bubble click handling separate from cat dragging
    • Local state management
    • Optional local sensing (no private data access)
  • AI tools used: GPT-5.6 for concept exploration, Codex for implementation

Inference: The technical stack and features suggest a functional prototype with attention to UI/UX and interaction design.

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Traction & Maturity Signals

The description states:

  • This is a hackathon project
  • It was submitted to the OpenAI 2026 hackathon
  • No evidence of:
    • Revenue
    • Customers
    • User feedback or retention metrics
    • Product-market fit validation
    • Market traction beyond the submission

Inference: There is no evidence of traction, adoption, or market validation. The project remains in early-stage prototype form.

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Competitive Context

The description does not mention any competitors or direct comparisons to existing tools. It only states:

  • Besideme is not a productivity tracker
  • It avoids judgmental behavior that other apps might have
  • It focuses on quiet support, not monitoring or forcing focus

Inference: No competitive analysis or positioning against similar tools is provided.

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Key Risks & Red Flags

  • No traction evidence: The project is described as a hackathon submission with no data on adoption or usage.
  • Unverified claims: All descriptions are self-reported and unverified.
  • Limited scope: The app only supports macOS, and the team size is small (2 members).
  • Unclear monetization path: No business model or pricing strategy is evident.
  • AI dependency: Heavy reliance on AI tools for both concept and implementation raises questions about scalability and long-term maintainability.

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Diligence Questions To Ask The Founders

  1. What was the actual user feedback during the hackathon? Was there any testing with real users?
  2. How do you plan to scale beyond a single developer tool (Electron) and into broader platforms or features?
  3. Are you planning to monetize this, and if so, how?
  4. What are your plans for expanding beyond macOS or adding new features like multi-platform support?
  5. How do you intend to validate the product-market fit post-hackathon?

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Investment/Partnership Verdict

Not evidenced: There is no evidence of revenue, customers, traction, or validated market demand. The project is described as a hackathon submission with no indication of commercial viability or strategic positioning.

Confidence level: Low — based entirely on self-reported claims and no independent verification.

Verdict: This is an early-stage concept with limited commercial due-diligence evidence. It lacks any demonstrated traction, business model, or market validation. Any investment or partnership would be speculative at this stage.

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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.