OpenAI 2026 hackathon

CoLabourHood

Colabourhood helps neighbours see local issues, propose projects, offer help, raise concerns, and work together to improve the places they live.

Solo project by Donal Carey · 0 likes · 0 comments

Archive position — measured, not model output

0 likes on Devpost

2,264 of the 7,856 archived projects have more likes, and 5,592 share exactly 0 — so this project's #3,443 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

CoLabourHood is a self-reported neighbourhood collaboration platform built as a lightweight web app with a map-first interface. The author states it helps residents in defined neighbourhoods see local issues, propose projects, offer help, raise concerns, and work together to improve their local area.

What changed

The project was submitted to the OpenAI 2026 hackathon on Devpost. It is described as a prototype or beta-stage tool, with no evidence of revenue, customers, or traction beyond its own self-description.

Single most important open question

Is there sufficient evidence that residents in the pilot area (Ballinacurra Gardens, Oakview Drive, Greenfields, and Roundwood Estate in Limerick, Ireland) are actively using or engaging with CoLabourHood?

Note

This analysis is based entirely on the self-reported description provided by the author. No independent verification, archived data, or third-party sources were used. All claims are treated as stated by the author, not proven.

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What The Product Actually Is

The description states that CoLabourHood is a map-based platform designed to help residents in a defined neighbourhood collaborate on local issues and projects. It allows users to:

  • See proposed local projects on a map;
  • Open dedicated pages for each project;
  • Support a project;
  • Offer time, skills, tools, materials, or funding pledges;
  • Upload project photos;
  • Suggest changes to the action plan;
  • Raise constructive concerns;
  • Post updates;
  • Keep a transparent record of local action.

It is built as a lightweight web app, using technologies like Leaflet.js, OpenStreetMap, Supabase, Vercel, and GitHub. Each project has its own page showing details such as description, location, action plan, needs, supporters, funding pledges, concerns, and updates.

Inference The platform appears to be a prototype or early-stage tool, not yet a full-fledged product with established user engagement or monetization.

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Positioning & Claim Evolution

The author states that CoLabourHood was inspired by the frustration of residents knowing what needs improving in their neighbourhood but lacking an easy way to organize with others. It positions itself as a solution to this problem, aiming to move from complaints to coordinated action.

It is described as:

  • A tool for ordinary residents;
  • Structured enough to coordinate real-world work;
  • Open enough to avoid gatekeeping;
  • Safe enough to handle concerns, privacy, and moderation.

The platform’s goal is to help neighbours stop waiting, start organising, and improve the places they live.

Claim vs Fact

The positioning is self-reported and claims a specific user need and solution. No evidence of actual adoption or impact is provided.

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Target Customer & ICP

The author states that CoLabourHood targets residents in a defined neighbourhood, specifically those who know what needs improving but lack an easy way to organize with others.

The first pilot area includes:

  • Ballinacurra Gardens
  • Oakview Drive
  • Greenfields
  • Roundwood Estate

in Limerick, Ireland

Inference The target customer is a local resident in a specific geographic area. No evidence of broader market targeting or segmentation beyond this pilot.

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Business Model & Pricing Evidence

The description does not contain any information about pricing, monetization, or business model. It is unclear whether CoLabourHood intends to charge users, seek funding, or operate as a non-profit platform.

Not evidenced No claims or evidence of revenue streams, pricing models, or commercial strategy.

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Technical & Delivery Signals

The platform was built using the following technologies:

  • Frontend: Leaflet.js, OpenStreetMap
  • Backend: Supabase (authentication, database storage, profiles, projects, support, concerns, media, updates)
  • Deployment: Vercel
  • Version control: GitHub
  • Design: Custom visual identity and logo

The author notes that the first user experience is kept simple, with core actions being:

  • Support it
  • Shape the plan
  • Offer help
  • Take action

Advanced features are available in context without overwhelming the initial interface.

Inference The platform appears to be a minimal viable product (MVP) built with modern web tools and designed for ease of use. No evidence of scalability or infrastructure beyond this MVP stage.

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Traction & Maturity Signals

The project is described as a first-neighbourhood beta, with no evidence of:

  • Active users
  • Revenue
  • Customer base
  • Adoption metrics
  • Product maturity beyond prototype stage

The author states that the next step is to test whether residents can use CoLabourHood to move from scattered local complaints to practical shared action.

Not evidenced No data on usage, engagement, or adoption. The platform is described as a beta, not a live product with traction.

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Competitive Context

No information is provided about competitors or the broader market landscape. The description does not mention any similar tools or platforms that address local neighbourhood collaboration or civic engagement.

Not evidenced No competitive analysis or awareness of existing solutions in this space.

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Key Risks & Red Flags

  • Lack of traction and adoption: The platform is described as a beta, with no evidence of real-world usage.
  • Unclear business model: No indication of how the platform will generate revenue or sustain itself.
  • Verification challenges: The author acknowledges that verification of residence is difficult to balance with user experience and privacy concerns.
  • No third-party validation: All claims are self-reported; there is no independent evidence of success, impact, or scalability.

Inference Without real-world usage or feedback, the platform’s viability remains unproven. Risks include low adoption, unclear monetization, and potential user trust issues around verification.

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Diligence Questions To Ask The Founders

  1. What is the actual level of engagement from residents in the pilot neighbourhood?
  2. How are you planning to scale beyond the first neighbourhood?
  3. What is your long-term vision for monetization or sustainability?
  4. How do you plan to handle concerns and moderation without creating friction?
  5. Are there any partnerships or support from local government or community organizations?
  6. What metrics are you using to evaluate success, if any?
  7. How are you addressing the challenge of verifying residence while maintaining usability?

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Investment/Partnership Verdict

Not evidenced No information is provided about financials, traction, or commercial viability.

Verdict Based on the self-reported description alone, CoLabourHood appears to be an early-stage prototype or beta product. It has not demonstrated any measurable traction, revenue, or customer engagement. The platform’s positioning and features are described clearly, but there is no evidence of real-world impact or scalability. Any investment or partnership decision would require further validation of user adoption, business model clarity, and market demand.

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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.