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 #1,125 place in the like-ranked listing is a tie-break inside that group, not a ranking.
Projects (log scale)
Likes on Devpost. ▲ marks this project's group.
Show the figures
| Likes | Projects | Share of archive |
|---|---|---|
| 0 | 5,592 | 71.2% |
| 1 | 1,758 | 22.4% |
| 2 | 285 | 3.6% |
| 3–4 | 132 | 1.7% |
| 5–9 | 75 | 1.0% |
| 10+ | 14 | 0.2% |
Executive Summary
What the company appears to be
Get Help SG is a Singapore-based, web-based mental-health navigation tool designed to guide users through available public and private mental-health resources without requiring diagnostic knowledge or system familiarity. It is described as a responsive web application built with a guided triage flow, deterministic recommendations, and a provider directory.
What changed
The project was submitted as part of the OpenAI 2026 hackathon. The author states that it was developed rapidly using AI tools (Codex, GPT-5.6-family), with an emphasis on privacy-by-design, accessibility, and usability. It is publicly deployed and MIT-licensed.
Single most important open question
Is there evidence of user adoption or engagement beyond the initial demo and public deployment?
What The Product Actually Is
The description states that Get Help SG is a Singapore-only mental-health wayfinding tool. It is described as:
- A responsive web application
- Built with a guided, state-based interface
- Designed to help users answer: “How are you feeling today?”
- Then ask about the type of support they want (e.g., free or low-cost resources, public mental healthcare, private psychiatry, etc.)
- Includes provider listings by region and neighbourhood, with details like addresses, session fees, opening hours, booking methods, contact info, and source links
- Allows users to shortlist providers for later comparison
- Uses structured questions and deterministic recommendation rules, not AI inference at runtime
- Keeps urgent-help information visible throughout the experience
The tool is described as non-diagnostic, with a focus on navigation rather than clinical diagnosis.
Inference The product appears to be a directory + triage tool, not a therapy platform or diagnostic service. It is built for ease of use and privacy-conscious access.
Positioning & Claim Evolution
The author states that Get Help SG was inspired by the need for a calmer, more practical starting point in navigating mental-health support in Singapore. The tool is positioned as:
- A guide to crisis lines, public care, affordable counselling, and clinics
- A non-diagnostic wayfinding tool
- Designed to help people describe what they need and be directed toward relevant resources
It is described as a low-friction conversational entry point, aiming to reduce overwhelm for users in distress.
Claim
The product positions itself as a safe, accessible, and non-clinical first step in mental-health navigation.
Inference It is not a replacement for professional care but a tool to help people find it.
Target Customer & ICP
The description states that the tool is designed for:
- People in Singapore who are seeking mental-health support
- Those who may be overwhelmed or unsure of where to start
- Users who want to explore free or low-cost resources, public healthcare, or private providers
- Individuals looking for region-specific care, including neighbourhood-based listings
It is not explicitly stated whether the tool targets specific demographics (e.g., youth, caregivers, LGBTQ+), though the author notes future plans to include those groups.
Inference The primary ICP appears to be individuals in Singapore who are seeking mental-health support but lack clarity on how to proceed. It may also serve as a resource for family members or caregivers.
Business Model & Pricing Evidence
The description does not state any pricing model, revenue streams, or monetization strategy. It is described as:
- A publicly deployed tool
- MIT-licensed
- Built with open-source and AI tools
- Not described as a paid service or subscription-based
Claim
The tool is free to use and publicly accessible.
Inference No evidence of a business model beyond public deployment and open-source licensing.
Technical & Delivery Signals
The project was built using:
- Next.js, React, TypeScript, Tailwind CSS, Vite
- Cloudflare Workers, Drizzle ORM, GitHub, Node.js
- AI tools: Codex, GPT-5.6-family models
- Responsive web design, structured questions, deterministic rules
- Privacy-by-design approach
The tool is described as:
- Deterministic in flow and recommendation logic
- Not sending user answers to an AI service at runtime
- Uses scraped data from public sources, manually verified for accuracy
- Built with a focus on usability, accessibility, and safety
Inference The technical stack suggests a modern, lightweight, privacy-conscious web application. The use of AI tools implies rapid prototyping and iteration.
Traction & Maturity Signals
The description states:
- The tool is publicly deployed
- Has a public MIT-licensed repository
- Can be tested via a live demo
- Submitted to the OpenAI 2026 hackathon
- Built by a single team member (Vanessa Koh)
There is no mention of:
- Users, customers, or engagement metrics
- Revenue or funding
- Headcount or team size beyond one person
- Adoption or usage data
Claim
The tool exists in a public demo and repository.
Inference No evidence of traction, adoption, or user engagement beyond the initial build.
Competitive Context
The description does not mention any direct competitors. It is described as a Singapore-specific mental-health navigation tool, with no indication of how it compares to existing platforms or services in the market.
Inference The competitive landscape is unknown. It may be a niche solution for Singapore’s mental-health ecosystem, but this is not evidenced.
Key Risks & Red Flags
- No evidence of traction or user adoption beyond demo and public deployment
- Single-person team, which raises questions about scalability and long-term maintenance
- Data accuracy and completeness are noted as challenges — no system for continuous updates or verification
- No monetization strategy or business model described
- No indication of regulatory compliance in healthcare or mental-health services
- Use of scraped data without clear sourcing, verification, or liability mechanisms
Inference The tool is a prototype with limited commercial viability unless it gains traction and evolves into a more robust, scalable platform.
Diligence Questions To Ask The Founders
- What is the current level of user engagement or feedback from the public demo?
- How is data accuracy maintained over time? Is there a process for updating provider information?
- Are there any plans to monetize or scale the tool beyond its current demo state?
- Has the tool been reviewed by mental-health professionals or stakeholders in Singapore?
- What are the risks of relying on scraped public data, and how does the team mitigate them?
- How is the tool being promoted or distributed to users in Singapore?
- Are there any legal or regulatory considerations around providing mental-health navigation?
Investment/Partnership Verdict
Not evidenced.
The description provides no information about:
- Revenue
- Customers
- Funding rounds
- Valuation
- Team size beyond one person
- Market traction or adoption
Claim
The tool is a publicly deployed, open-source prototype submitted to a hackathon.
Inference It is not yet a commercial product with demonstrated market demand or scalability. It may be a promising concept for further development but lacks evidence of viability as an investment or partnership opportunity at this stage.
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.
