OpenAI 2026 hackathon

NegociosCRM.com

Find hard-to-locate local products and services nearby, ranked by availability, opening hours, and distance, with privacy controls for home-based sellers.

Solo project by Edgard Ocampo Fasabi · 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 #5,504 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

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1k
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05,592
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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

The company appears to be a hyperlocal search platform for small and home-based businesses, designed to help users find nearby products and services that are often hard to discover online. It supports privacy controls for sellers and includes features like proximity search, availability status, and schedule visibility.

What changed: The author states they built an end-to-end prototype using PHP, MySQL, JavaScript, and AI tools (Codex + GPT-5.6) in a hackathon context. No evidence of prior product development or commercial traction exists beyond this self-reported build.

Single most important open question: Is there any evidence of user adoption, revenue, or customer engagement beyond the prototype? The description lacks data on actual usage, monetization, or market validation.

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What The Product Actually Is

The description states that NegociosCRM.com is a hyperlocal search platform for products and services that are often difficult to find online. It allows users to search for specific needs such as "beetroot juice", "HP mouse", carpentry, or dental care.

Key features include:

  • Search results ordered by availability, opening hours, and distance.
  • Publishers can register without a tax ID.
  • Business profiles support weekly schedules, contact info, delivery options, and location privacy.
  • Moderation workflows for businesses and publications.
  • Location visibility can be set to exact, approximate, or contact-only.

Inference: The product is positioned as a discovery tool for informal or home-based sellers who are hard to locate via traditional search engines. It integrates with OpenStreetMap and Leaflet.js for mapping functionality.

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Positioning & Claim Evolution

The author claims that many small and home-based businesses offer useful products and services but are difficult to discover online, especially outside regular business hours.

The platform aims to:

  • Connect users' specific needs with the closest available local option.
  • Protect the privacy of informal and home-based sellers.

Inference: The positioning evolved from solving a discovery gap in hyperlocal markets, particularly for underrepresented sellers, to offering a privacy-aware solution that balances accessibility and seller protection.

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Target Customer & ICP

The description states:

  • Users: People searching for specific products or services nearby.
  • Publishers: Home-based or small businesses registering their offerings.

There is no explicit segmentation beyond these two groups. The author emphasizes the need to protect "home-based sellers", suggesting a focus on informal economy actors.

Inference: The ICP likely includes:

  • Informal or home-based service providers.
  • Local consumers seeking niche or hard-to-find goods/services.
  • Users who value privacy and real-time availability information.

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Business Model & Pricing Evidence

The description does not provide any evidence of pricing, monetization, or business model. It mentions:

  • Publishers can register without a tax ID.
  • Moderation workflows exist for businesses and publications.
  • Publishers define contact info, delivery options, and location privacy.

Inference: There is no indication of how the platform intends to generate revenue — whether through subscription fees, transaction commissions, advertising, or other means. The author does not describe any pricing strategy or monetization mechanism.

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Technical & Delivery Signals

The project was built using:

  • Languages/Technologies: PHP 8, MySQL, JavaScript, HTML5, CSS3, Leaflet.js, OpenStreetMap.
  • AI Tools Used: Codex with GPT-5.6 for architecture, implementation, and debugging.

Key technical elements mentioned:

  • Proximity search and weekly schedule calculations.
  • Secure sessions, CSRF protection, prepared statements.
  • Private dashboards for publishers.
  • Separate publisher and administrator permissions.
  • Responsive interfaces for desktop and mobile.

Inference: The platform uses standard web technologies with some AI-assisted development. It includes basic security features but lacks evidence of scalability or enterprise-grade infrastructure.

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Traction & Maturity Signals

The description states:

  • A working end-to-end prototype was built and deployed.
  • Includes publisher registration, authentication, business creation/editing, moderation workflows, public profiles, and responsive UI.
  • Future improvements include email verification, image uploads, richer attributes, and analytics.

Inference: The product is at a prototype stage, not yet live in production or validated with users. No evidence of customer base, revenue, or usage metrics exists.

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Competitive Context

The description does not mention competitors or market positioning relative to existing platforms like Google Maps, Yelp, or local marketplace apps.

Inference: The author does not provide context about how this product compares to others in the hyperlocal discovery space. No competitive analysis or differentiation strategy is evident.

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Key Risks & Red Flags

  • No traction or revenue evidence: The platform is described as a prototype with no data on adoption, monetization, or user engagement.
  • Unverified claims: All statements are self-reported; there is no third-party validation.
  • Limited team size: Only one member (Edgard Ocampo Fasabi) involved in development.
  • No pricing model: No indication of how the platform will make money.
  • Unclear scalability: The use of PHP/MySQL suggests a basic stack, with no mention of performance or growth considerations.

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Diligence Questions To Ask The Founders

  1. What is your current user base and engagement level?
  2. How do you plan to monetize the platform?
  3. Have you conducted any market research or user testing beyond the prototype?
  4. What are the key challenges in scaling this model?
  5. Are there any existing partnerships or integrations with local governments or business associations?
  6. How will you ensure consistent moderation quality and prevent abuse?
  7. What is your long-term roadmap for product development?

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Investment/Partnership Verdict

Not evidenced: There is no evidence of revenue, customers, or commercial traction beyond the prototype stage.

This project appears to be a proof-of-concept built in a hackathon, with no indication of market validation, monetization strategy, or scalability. The author's own description makes clear that it is an unverified, self-reported effort without external corroboration.

Confidence Level: Very low — based entirely on the project description provided by the caller.

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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.