OpenAI 2026 hackathon

StreetBite

This app is for the street food vendors and the general people. The vendors can upload the data about their shops in the app which the customers can see in a map, also seeing which is closer to them.

Solo project by Rithvik Rajmohan · 0 likes · 0 comments

View the project on Devpost

Archive position — measured, not model output

0 likes on Devpost

2,263 of the 7,850 archived projects have more likes, and 5,587 share exactly 0 — so this project's #6,991 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.

User Stories BotA demo video on every pull request

Get a demo video on every new feature

GitHub App that watches your pull requests and records a narrated, captioned demo.
Save time on demo prep and make informed decisions faster with a video walkthrough of every new feature.

Executive Summary

Project: StreetBite

Self-reported basis: The description is entirely from the author's own submission to the OpenAI 2026 hackathon on Devpost. No independent verification or additional data is available.

Commercial due-diligence read: This appears to be a prototype for a map-based directory of street food vendors, built by one individual using HTML and CSS with some assistance from AI tools. The description states no revenue, customers, or traction. It is unclear whether this project has moved beyond the prototype stage or if there are any commercial plans.

Most important open question: Is there a plan to scale this into a functional product with real vendors and users, or is it a one-off learning exercise?

Back to contents

What The Product Actually Is

The description states that StreetBite is an app for street food vendors and customers. Vendors can upload shop data (e.g., menu, contact info, address), and customers can view shops on a map with location details.

  • Product type: Map-based directory or marketplace for street food vendors.
  • Functionality claimed:
    • Vendors upload shop information.
    • Customers see shops on a map.
    • Customers see shop details (menu, contact, address).
  • Technology stack:
    • Built with HTML and CSS.
    • Helped by tools like ChatGPT, Comet, GitHub, and Codex.

Note: The author states this is a prototype. No evidence of live functionality or real data is provided.

Back to contents

Positioning & Claim Evolution

The description indicates that the project was built to solve a specific problem: checking if a street food shop is open without physically visiting it.

  • Core claim: A tool to help people find and check street food vendors.
  • Evolution of positioning:
    • Started as a hackathon prototype.
    • No indication of prior or future positioning strategy.
    • The author mentions “some better improvements” are needed, suggesting early-stage development.

Inference: This is not a commercial product but a proof-of-concept. The author’s own description does not indicate any market strategy or competitive positioning beyond its basic functionality.

Back to contents

Target Customer & ICP

The description states that the app is for:

  • Street food vendors.
  • General people (customers).
  • ICP (Ideal Customer Profile): Not defined.
  • Customer segments:
    • Vendors who want to list their shops.
    • Customers looking for nearby street food.

Note: No evidence of customer personas, user research, or segmentation. The description does not indicate whether vendors are real or hypothetical.

Back to contents

Business Model & Pricing Evidence

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

  • Business model claimed: Not stated.
  • Pricing: Not mentioned.
  • Monetization strategy: Not evident.

Inference: No evidence of a monetization plan, revenue streams, or pricing model. The project is described as a prototype with no indication of commercial viability.

Back to contents

Technical & Delivery Signals

The author built the app using:

  • HTML and CSS
  • Tools like ChatGPT, Comet, GitHub, Codex
  • Development approach: Prototype built by one person.
  • Technical stack: Basic web technologies (HTML/CSS).
  • Delivery status:
    • Not a live product.
    • Map functionality is described as “not showing properly” but shows shops in a dot structure.

Inference: The prototype is incomplete and not production-ready. No evidence of backend, API, or scalable architecture.

Back to contents

Traction & Maturity Signals

The description does not provide any traction data.

  • Customers: Not evidenced.
  • Revenue: Not mentioned.
  • Adoption: Not stated.
  • Maturity level: Prototype stage.

Note: The author explicitly states this is a prototype and that further development is needed. No evidence of user engagement, usage metrics or product adoption.

Back to contents

Competitive Context

The description does not mention any competitors.

  • Competitive landscape: Not described.
  • Differentiation: Not stated.
  • Market analysis: Not provided.

Inference: There is no indication that the author has researched existing solutions in the street food or local directory space. No evidence of competitive positioning or market awareness.

Back to contents

Open Questions & Risks

  • Single-person development: The project was built by one individual, which raises questions about scalability and long-term maintenance.
  • Prototype-only: No live product or real-world usage is evident.
  • No commercial plan: No mention of monetization, customer acquisition, or growth strategy.
  • Limited tech stack: Built with basic HTML/CSS; no evidence of backend or advanced features.
  • Unverified functionality: The map feature is described as not fully functional.

Inference: This project lacks commercial viability and traction. It appears to be a learning exercise or early-stage prototype, not a product in development.

Back to contents

Questions the description leaves open

  1. What is the plan for moving from this prototype to a scalable product?
  2. Are there any real vendors currently using the app or planning to list their shops?
  3. How do you intend to monetize this platform?
  4. Have you identified any competitors in the street food or local directory space?
  5. What are your plans for customer acquisition and engagement?
  6. Do you have a roadmap for product development beyond the current prototype?

Back to contents

Overall Assessment

Not evidenced: No evidence of revenue, customers, traction, or commercial strategy is provided.

  • Investment potential: Not evident.
  • Partnership opportunity: Not indicated.
  • Next steps: If this is a prototype with no further development, it is not a viable target for investment or partnership at this stage.

Inference: The project is in an early, unproven phase. It lacks any commercial signals and should be considered a learning exercise rather than a business opportunity.

Back to contents

User Stories BotA demo video on every pull request

Get a demo video on every new feature

GitHub App that watches your pull requests and records a narrated, captioned demo.
Save time on demo prep and make informed decisions faster with a video walkthrough of every new feature.

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.

Are you the author of this project? Request removal or a correction (support@kfginternational.com). Requests from authors are acted on within 48 hours, and in any case within seven days. Privacy notice.