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 #5,669 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
Omyear is a self-reported personal reflection tool that generates an interactive, symbolic yearbook using five self-discovery systems (numerology, astrology, etc.) and user inputs. It is described as a gift or personal tool for returning to during uncertain times, designed to restore perspective and agency rather than predict outcomes.
What changed
The author states they turned a one-off handmade gift into a repeatable digital product using AI and deterministic code. The project was submitted to the OpenAI 2026 hackathon.
Single most important open question
Is there evidence of traction, revenue or customer adoption beyond the author’s own description?
What The Product Actually Is
The description states that Omyear is a personal interactive book for the year between birthdays, designed to be revisited for perspective and encouragement. It uses:
- Five symbolic systems (numerology, 22-Arcana Matrix, astrology, Human Design, astrocartography)
- User-provided data: confirmed facts, goals, values, birth data, locations, and questions
- GPT-5.6 to weave these into a coherent narrative
- Deterministic code for calculations (e.g., Swiss Ephemeris)
- A public demo that works in English and Russian
The product is described as not predictive, but rather restorative—offering another angle, naming forgotten strengths, and turning difficult themes into questions with agency.
It includes:
- A personal portrait
- Themes for the year
- Twelve monthly chapters
- Places, practices, and reflection prompts
The final output is intended to be a coherent, caring book, not a generic or fatalistic reading.
Evidence
- The author describes how it works in detail.
- It uses structured outputs from GPT-5.6.
- Code handles calculations and verification.
- A human gate remains mandatory even after automated checks.
Inference The product is built to be revisitable, not a one-time experience.
Positioning & Claim Evolution
The author states that Omyear is for reflective, curious people who find meaning in both structured knowledge and symbolism. It aims to be a place to return to when life feels uncertain, offering perspective and confidence rather than prescriptions.
It positions itself as an alternative to generic or fragmented self-discovery readings, which it claims are “deterministic” and “fatalistic.”
The author also says that the emotional center is not prediction but return—the idea of a place one can revisit for support.
Evidence
- The tagline: “A personal year book to return to whenever you need your wings back.”
- The inspiration story about giving a gift to a friend.
- Claims about avoiding “invented” or “fatalistic” interpretations.
Inference Omyear is positioned as a personal, non-invasive tool for emotional support, not a commercial product or service.
Target Customer & ICP
The description states that Omyear is for reflective, curious people who value symbolic systems and personal meaning. It is described as a gift for others or a self-gift.
It targets individuals who:
- Want to return to a calm place during uncertain times
- Value emotional support over predictive readings
- Are interested in structured knowledge and symbolism
The author mentions that the public demo works in English and Russian, suggesting a bilingual audience.
Evidence
- The inspiration story is about giving a gift to a friend.
- The product is described as a place to return for perspective and encouragement.
- The public demo supports two languages.
Inference The ICP likely includes emotionally sensitive individuals who seek personal reflection tools, possibly in the self-help or spiritual wellness space.
Business Model & Pricing Evidence
Not evidenced.
The description does not mention any pricing model, monetization strategy, or business structure. It describes a public demo and a private flow, but no commercial elements are stated.
Evidence
- The public demo is synthetic and requires no login.
- The live creation flow works in the browser tab and is not stored in a database.
- No mention of paid features, subscriptions, or sales.
Technical & Delivery Signals
The project is built with:
- Astro, Node.js, Python, TypeScript, CSS, HTML
- OpenAI GPT-5.6 for structured outputs
- Swiss Ephemeris for astronomical calculations
- Cloudflare Pages, Vercel, and Cloudflare Workers
It uses:
- Deterministic code for calculations
- Structured schema validation
- Source IDs to track inputs
- Human review gate before final output
- Prompt and token limits to control API costs
The author describes a bilingual generation flow and a private result storage in the browser tab.
Evidence
- The technical stack is listed.
- The process includes verification, deterministic checks, and human review.
- The public demo works with synthetic data.
Inference The product uses a hybrid of AI and deterministic code to maintain control over output quality and user privacy.
Traction & Maturity Signals
Not evidenced.
There is no mention of users, customers, revenue, or adoption. The author says the project was submitted to a hackathon and that early friends received handmade editions, but no data on usage or engagement is provided.
Evidence
- Early recipients were friends who gave feedback.
- A public demo exists.
- No mention of real-world usage or metrics.
Competitive Context
Not evidenced.
The description does not compare Omyear to existing products or services in the market. It does not name competitors or describe how it differs from similar offerings.
Evidence
- The author says that most self-discovery readings are generic, fragmented, or fatalistic.
- No specific competitor names or market positioning are mentioned.
Key Risks & Red Flags
- No commercial traction or revenue evidence: The product is described as a hackathon submission with no sign of monetization or user base.
- Unverified claims about AI behavior: The author states that GPT-5.6 "interprets and connects" material, but there’s no evidence of how it avoids hallucination or maintains fidelity to the user.
- Limited scope for scaling: The product is described as a single-person effort with no team or infrastructure beyond one developer.
- No data privacy or security details: Though the result stays in the browser tab, there's no mention of how data is handled or protected.
- Unproven emotional impact: While the author claims it helps people return to confidence, there’s no evidence of measurable outcomes.
Evidence
- No revenue, customers, or usage metrics.
- The product is built by one person.
- No mention of user feedback beyond early friends.
Diligence Questions To Ask The Founders
- What is the actual user base or engagement level beyond early feedback?
- How does the human review gate work in practice? Is it scalable?
- Are there any plans to monetize or expand beyond the current demo?
- How do you ensure that GPT-5.6 doesn’t fabricate or misrepresent user inputs?
- What is the long-term vision for Omyear beyond a single product?
Investment/Partnership Verdict
Not evidenced.
There is no evidence of funding, valuation, or investment interest. The project is described as a hackathon submission with no commercial traction or business model details.
Evidence
- No mention of funding rounds, investors, or partnerships.
- No indication of commercial viability or scalability.
Inference At this stage, Omyear appears to be an experimental idea, not a product ready for investment or partnership.
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.