OpenAI 2026 hackathon

Statement Generator

Generate, customize, verify, and export professional bank statements with flexible rules, smart templates, and powerful Excel and Word editing.

Solo project by Sunil Gotame · 0 likes · 0 comments

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 #6,952 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

Statement Generator is a self-reported financial statement automation tool that generates customizable multi-year statements in Excel and Word formats. The author describes it as a single, responsive workspace for automating calculations while allowing user control over rules, formatting, verification, and exports.

What changed

This project was submitted to the OpenAI 2026 hackathon on Devpost by one developer (Sunil Gotame). It is described as an experimental or prototype tool built in two versions — PHP/JavaScript and Python/JavaScript — with support for Excel and Word editing, automation, and export pipelines.

Single most important open question

Is there any evidence of real-world usage, customer adoption, or commercial traction beyond the author’s own development and testing?

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What The Product Actually Is

The description states that Statement Generator is a tool designed to automate the creation of financial statements. It supports:

  • Customizable single-year and multi-year financial statements.
  • Automatic and mixed rounding rules.
  • Historical interest and tax-rate calculations.
  • Excel and Word exports with formatting preservation.
  • Browser-based editing tools for Excel and Word-style documents.
  • Support for custom templates, including dynamic row expansion.
  • Role-based access controls (User, Admin, Super Admin).
  • Statement history, database backup, and schema export.

The system is described as having two independent versions:

  1. A PHP/JavaScript version for shared web hosting.
  2. A Python/JavaScript version with Excel and Word automation support.

It uses engines to calculate transaction dates, amounts, interest, tax, and running balances, with a seed-based system for reproducibility.

Inference The tool appears to be a document-generation engine tailored for financial reporting workflows, likely intended for internal use or demonstration rather than broad commercial adoption.

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Positioning & Claim Evolution

The author claims that Statement Generator was inspired by the time-consuming process of preparing long financial statements manually. The product is positioned as an automated solution that reduces manual effort while maintaining user control over formatting and rules.

Key claims include:

  • It automates repetitive tasks like matching balances, distributing transactions, applying historical tax rules, and avoiding restricted dates.
  • It allows users to customize templates and edit documents directly in the browser.
  • It supports both Excel and Word exports with preserved formatting.
  • It is intended for authorized record preparation, internal workflows, demonstrations, and software testing.

Inference The positioning suggests a niche B2B tool aimed at financial professionals or developers needing automated statement generation. The lack of commercial claims or customer testimonials indicates this is likely an early-stage prototype or proof-of-concept.

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Target Customer & ICP

The description states that the application is intended for:

  • Authorized record preparation.
  • Internal workflows.
  • Demonstrations.
  • Software testing.

It also mentions support for user roles (User, Admin, Super Admin), implying a multi-user environment. However, no specific customer segments or personas are named.

Inference The likely target users are internal teams within organizations that prepare financial statements, such as accounting departments or compliance units. The tool may also appeal to developers or consultants working on financial data automation projects.

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Business Model & Pricing Evidence

There is no evidence of pricing, licensing models, or monetization strategies in the description. The project is described as a hackathon submission and includes login details for testing purposes only.

Inference No business model or pricing information is evident. The tool may be open-source, freemium, or intended solely for internal use or demonstration.

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Technical & Delivery Signals

The system is built using:

  • PHP/JavaScript (for web hosting)
  • Python/JavaScript (with Excel and Word automation)
  • Technologies include: HTML5, CSS3, JSON, MySQL, REST APIs, GitHub Actions, PowerShell, OpenPyXL, python-docx, and more.

Key technical features mentioned:

  • Responsive one-page application frontend.
  • Custom Excel and Word file scanning and presentation via browser editors.
  • Export pipeline that detects transaction sections inside templates and expands rows dynamically.
  • Seed-based system for consistent statement reproduction.
  • Automated FTP deployment using GitHub Actions.
  • Password protection during database upgrades.
  • Support for multiple hosting environments.

Inference The tool shows technical sophistication in handling document automation, financial calculations, and multi-format exports. However, the absence of production-scale infrastructure or performance metrics suggests it is not yet ready for enterprise use.

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Traction & Maturity Signals

There is no evidence of customer adoption, revenue, ARR, or usage data beyond the author’s own testing and demonstration environment.

The tool was submitted to a hackathon (OpenAI 2026) and includes test login credentials ("test"/"test123"). No mention of users, customers, or market traction is provided.

Inference This appears to be an early-stage prototype or proof-of-concept. There are no signs of commercial viability or real-world deployment.

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Competitive Context

No competitive landscape or direct competitors are mentioned in the description. The author does not reference existing tools for financial statement generation, document automation, or Excel/Word editing.

Inference The competitive context is unknown. It is unclear whether similar tools already exist in the market, and how this product would differentiate from them.

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Key Risks & Red Flags

  • No commercial traction: No evidence of customers, revenue, or adoption.
  • Unverified claims: All features and capabilities are self-reported without independent validation.
  • Prototype nature: Submitted to a hackathon; not yet mature for production use.
  • Single developer team: Limited scalability and maintenance capacity.
  • Lack of business model clarity: No indication of monetization strategy or pricing.
  • Technical complexity without real-world testing: While technically advanced, there is no evidence of deployment in actual financial environments.

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Diligence Questions To Ask The Founders

  1. What specific financial use cases does the tool address today?
  2. Are there any existing customers or pilot users?
  3. How does the tool handle compliance and audit requirements?
  4. Is there a plan to move beyond prototype status into production-ready software?
  5. What is the intended monetization model?
  6. How do you intend to scale beyond one developer?
  7. Have you considered integration with existing financial systems (e.g., ERP, accounting platforms)?
  8. What are the limitations of the current Excel/Word automation approach?

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Investment/Partnership Verdict

Not evidenced.

There is no evidence of revenue, customers, or commercial traction to assess viability for investment or partnership.

The tool is described as a hackathon submission with limited functionality and unclear business model. While technically impressive, it lacks indicators of market demand or product-market fit.

Confidence level Low

Reasoning

The description contains no verifiable data on users, revenue, or adoption. All claims are self-reported and unverified.

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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.