OpenAI 2026 hackathon

Guidely

Connect with verified local guides for unforgettable adventures.

Solo project by Narayan Adhikari · 1 likes · 0 comments

View the project on Devpost

Archive position — measured, not model output

1 like on Devpost

505 of the 7,850 archived projects have more likes, and 1,758 share exactly 1 — so this project's #1,158 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

1
10
100
1k
10k
05,587
11,758
2284
3–4132
5–975
10+14

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

Show the figures
LikesProjectsShare of archive
05,58771.2%
11,75822.4%
22843.6%
3–41321.7%
5–9751.0%
10+140.2%
Devpost like counts for all 7,850 archived projects, captured when this archive was built.

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Executive Summary

Company

Guidely

Self-reported basis

The analysis is based entirely on the author's own description of the project as submitted to the OpenAI 2026 hackathon on Devpost. No independent verification, archived evidence or third-party data are available.

Commercial Due-Diligence Read

Guidely appears to be a solo-developer MVP for a travel marketplace connecting travellers with local guides. It is built as a cross-platform Flutter app using Supabase backend technologies. The author states it implements secure authentication and database-level access control, but no evidence of revenue, customers or traction exists. The most important open question is whether the author can demonstrate product-market fit or scalability beyond the MVP stage.

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What The Product Actually Is

The description states that Guidely is a travel marketplace connecting travellers with verified local guides. It is built as a cross-platform Flutter application powered by Supabase.

  • Travellers can browse, search, filter and save tour packages.
  • Guides can create profiles, publish packages, upload images, and manage bookings.
  • Admins can review applications, moderate content, and manage support requests.
  • The platform uses Supabase Auth for secure login, PostgreSQL with Row Level Security (RLS) for data protection, Supabase Storage for media, and Resend SMTP for email delivery.

Inference The product is a marketplace MVP with three user roles: traveller, guide, and admin. It includes basic booking request functionality and package management features, but lacks payments or live chat in the current version.

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Positioning & Claim Evolution

The author states that Guidely’s tagline is “Connect with verified local guides for unforgettable adventures.” The project description emphasizes:

  • A marketplace connecting travellers and local guides.
  • Secure booking workflow.
  • Verified guide profiles.
  • Cross-platform mobile application (iOS, Android).
  • MVP built by a solo developer.

Inference The positioning appears to be a travel marketplace focused on authentic local experiences. The claim evolution suggests an early-stage MVP with a focus on foundational features like secure authentication and booking workflows, rather than monetization or advanced UI/UX.

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Target Customer & ICP

The description states that Guidely targets:

  • Travellers looking for tour packages.
  • Local guides who want to offer their services.
  • Admins who moderate the platform.

Inference The ICP appears to be a niche market of solo or small-group travellers in Nepal (specifically Pokhara) seeking local, authentic experiences. The author does not describe any segmentation strategy beyond user roles.

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Business Model & Pricing Evidence

The description does not provide evidence of pricing or monetization models. It mentions:

  • A booking request workflow.
  • Future features like online payments and cancellation management.

Inference There is no evidence of a business model or pricing structure in the current version. Payments are listed as a future feature, suggesting the platform may be in an early stage of monetization planning.

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Technical & Delivery Signals

The author states that Guidely was built using:

  • Flutter for cross-platform mobile app.
  • Supabase backend including Auth, PostgreSQL with RLS, Storage, and custom SQL functions.
  • Resend SMTP for email delivery.
  • Custom UI design with animations and responsive layouts.

Inference The technical stack suggests a modern, scalable architecture. The use of Supabase and RLS indicates an emphasis on secure data handling, which is a positive signal for platform integrity. However, no evidence of production deployment or scalability beyond MVP exists.

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Traction & Maturity Signals

The description states:

  • The project was built by one developer (Narayan Adhikari).
  • It is an MVP submitted to a hackathon.
  • Features include secure booking workflows and package management.
  • Future plans include payments, notifications, and calendar scheduling.

Inference There is no evidence of traction or adoption. The platform is described as a solo-developer MVP with no revenue, customers, or user base mentioned. The maturity level is early-stage, focused on foundational features.

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Competitive Context

The description does not provide any information about competitors or market positioning beyond the general idea of a travel marketplace.

Inference No evidence of competitive analysis or differentiation strategy exists in the provided description. The author does not reference existing platforms like Airbnb Experiences, Viator, or local Nepali tour operators.

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Open Questions & Risks

  • Solo developer MVP: The project is described as built by a single person, which raises concerns about scalability and long-term maintenance.
  • No traction or revenue: There is no evidence of users, customers, or monetization.
  • Limited feature set: Payments, live chat, and notifications are listed as future features, suggesting the platform is not yet fully functional for real-world use.
  • Unverified claims: All descriptions are self-reported and unverified.

Inference The biggest risk is that the project may not scale beyond MVP or prove viable in a competitive market without further development and validation.

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Questions the description leaves open

  1. What is the current status of user adoption or testing?
  2. How do you plan to validate demand for local guides in specific destinations like Pokhara?
  3. Are there any partnerships with local tour operators or travel agencies?
  4. What are your plans for monetization beyond the booking request workflow?
  5. How will you scale from a solo developer to a team or product development cycle?
  6. What is the timeline and roadmap for implementing payments, notifications, and calendar features?

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Overall Assessment

Confidence Low

Assessment The project is an early-stage MVP with no evidence of traction, revenue, or customer validation. It demonstrates technical capability and a clear product vision but lacks commercial proof-of-concept. The platform is built with modern tools and secure practices, but the solo developer model raises concerns about scalability and long-term viability.

Inference This project is not ready for investment or partnership at this stage. It may be suitable for incubation or early-stage funding if the founder can demonstrate traction or a clear path to product-market fit.

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Source

Submitted to the OpenAI 2026 hackathon on Devpost. Project home on Devpost. Back to the full gallery on Devpost.

This competitive analysis was produced by top-founders.com (opens in a new tab)

Generated by a language model from this project's public Devpost page — its tagline, the author's own write-up and any built-with tags listed there — as captured in August 2026. Short quotations are the author's words. It is an opinion on the idea as a business, not on the people behind it, and it reflects the description as published then. If the project has moved on, request a correction below. The analysis is not independent research and contains no verified traction, revenue or customer data.

An independent guide by KFG International LLC — not affiliated with, endorsed by, or connected to Devpost or OpenAI.

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