OpenAI 2026 hackathon

Valign, The Values Align Tool for Leaders on the Go

Never have a hard conversation alone. Valign is a multilingual HR-backed tool that turns your company values into immediate language for the hard talks with your team.

Solo project by Dr. Isa Karabed · 1 likes · 0 comments

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 #2,158 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

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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

What the company appears to be: Valign is a self-reported multilingual HR-backed tool designed for leaders to navigate hard conversations with their teams using company values as a framework. It offers script generation, coaching guidance, and policy grounding from an employee handbook.

What changed: The project description indicates that during a hackathon build week, the author added two features: "Ask Dr. Isa" — a chatbot trained on her own transcripts and voiced in her cloned voice; and Kinyarwanda translation support for leadership in Rwanda.

The single most important open question: Is there any evidence of actual use or adoption by leaders beyond the author's personal experience? The description states that Valign is "a live product with real clients using it right now", but provides no details about customer base, usage volume, or revenue.

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What The Product Actually Is

The description states that Valign is a multilingual HR-backed tool for leaders to have hard conversations with their teams. It generates language to start such conversations based on company values and references the employee handbook. It also includes a coaching chat called "Ask Dr. Isa", which is described as being trained on the author's transcripts and voiced in her cloned voice.

The product uses technologies including anthropic, claude, codex, css3, elevenlabs, gpt-5.6, html5, javascript, node.js, openai, serverless, supabase, vercel.

Inferred: The tool appears to be a web-based application that allows leaders to input observed behaviors and receive guidance in the form of scripts and coaching advice, with support for multiple languages including Kinyarwanda.

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Positioning & Claim Evolution

The description states that Valign is positioned as a multilingual HR-backed tool that turns company values into immediate language for hard conversations with teams. It claims to provide leaders with the words they need when addressing issues, offering script generation and guidance on whether to coach, document, or escalate.

It also claims to offer "Ask Dr. Isa", a coaching chat trained on the author's own transcripts that answers in her voice and reads its answers back in her cloned voice. This feature is described as being "me" — all 20+ years of leadership experience in one — not a generic assistant.

Inferred: The positioning evolved from a basic script generator to include personalized coaching via an AI trained on the author's own communication style, and expanded language support for non-English speaking populations.

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Target Customer & ICP

The description states that Valign is for "emerging leaders, middle managers, experienced executives that need the words to align their staff with what matters most, your values."

It also mentions that it targets "leaders in the world" who do not have to feel alone or unsupported during conflict resolution or hard conversations.

Inferred: The target customer segment includes frontline leaders across various industries, particularly those working in social services or nonprofit organizations where difficult conversations are common. The inclusion of Kinyarwanda suggests a focus on immigrant and refugee staff in regions like Rwanda.

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Business Model & Pricing Evidence

Not evidenced. The description does not contain any information about pricing models, monetization strategies, or business model details.

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Technical & Delivery Signals

The description states that Valign was built using technologies such as anthropic, claude, codex, css3, elevenlabs, gpt-5.6, html5, javascript, node.js, openai, serverless, supabase, vercel.

It also mentions that for Build Week, Codex was used to add two new features: Ask Dr. Isa and Kinyarwanda translation, both powered by GPT-5.6.

The author notes challenges such as JSON output issues with Dr. Isa and rate limit problems with Kinyarwanda translation, which were resolved through prompt engineering and pre-loading dictionaries respectively.

Inferred: The technical stack suggests a serverless architecture using AI models for natural language processing and voice synthesis. The approach to handling multilingual support indicates an understanding of performance constraints and user experience optimization.

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Traction & Maturity Signals

The description states that Valign is "a live product with real clients using it right now". It also mentions that the author has been working on this for 18 years in social services, most recently at LifeMoves.

However, no specific traction data such as number of users, revenue, or customer acquisition metrics are provided.

Inferred: There is some level of operational maturity given that it's a live product with real clients, but there is no evidence of scale or measurable impact beyond the author’s personal experience.

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Competitive Context

Not evidenced. The description does not mention any competitors or competitive landscape.

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Key Risks & Red Flags

  • Lack of traction evidence: Despite stating that it's a live product with real clients, there is no data on user numbers, engagement, or revenue.
  • Unverified claims: All claims about functionality, voice cloning accuracy, and language support are self-reported without external validation.
  • Single-person team: The project has only one member (Dr. Isa Karabed), which may limit scalability and operational capacity.
  • Limited business model clarity: No indication of how the product will be monetized or whether it's intended for commercial sale or non-profit distribution.

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Diligence Questions To Ask The Founders

  1. How many actual users are currently using Valign?
  2. What is the current revenue model, if any?
  3. Can you provide examples of how the tool has been used in practice?
  4. How do you plan to scale beyond the single developer?
  5. What specific policies or guidelines from employee handbooks does the tool reference?
  6. Are there plans for additional language support beyond Kinyarwanda?

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Investment/Partnership Verdict

Not evidenced. The description lacks sufficient information to assess the viability of investment or partnership opportunities. There is no evidence of traction, revenue, customer base, or clear business model.

The author's claim that Valign is a live product with real clients using it does not substantiate commercial viability without further data on adoption rates, user feedback, or financial performance. The tool appears to be in early development stages with limited external validation.

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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.