OpenAI 2026 hackathon

Kenya Payroll Assistant

A simple, compliant payroll tool that helps Kenyan employers calculate salaries, PAYE, NSSF, SHIF, Housing Levy, deductions, and net pay with confidence.

Solo project by shailesh2019 Kavathiya · 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 #4,784 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

The description states that Kenya Payroll Assistant is a tool designed to simplify payroll calculations for Kenyan employers by automating statutory deductions such as PAYE, NSSF, SHIF, and Housing Levy. The author describes it as a step-by-step system that explains how each deduction contributes to net pay. It was built as part of a hackathon submission and is currently in early development.

The project appears to be a proof-of-concept or prototype with no evidence of revenue, customers, or traction. The team size is listed as one person (shailesh2019 Kavathiya), and the technology stack includes Python and PostgreSQL.

Single most important open question

Is there any evidence that this tool has been used by actual Kenyan employers, or that it has moved beyond a hackathon prototype?

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What The Product Actually Is

The description states that Kenya Payroll Assistant is a payroll calculation tool for Kenyan employers. It calculates gross pay, statutory deductions (NSSF, SHIF, Housing Levy), PAYE, personal relief, and other deductions to determine net pay.

It includes:

  • Gross pay calculation
  • NSSF contributions
  • SHIF contributions
  • Affordable Housing Levy
  • PAYE
  • Personal relief
  • Other deductions
  • Net pay
  • Employer payroll cost

The system is described as transparent, showing the calculation flow rather than just displaying results. It uses a simplified net pay formula:

$$ \text{Net Pay} = \text{Gross Pay} - \text{NSSF} - \text{SHIF} - \text{Housing Levy} - \text{PAYE} - \text{Other Deductions} $$

The tool is described as being built to guide users through payroll from employee details and salary inputs to final net salary.

Inference The product appears to be a software tool or web application, likely with a user interface for inputting employee data and viewing calculated results. It is not evidenced to have been deployed in production or used by real employers.

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Positioning & Claim Evolution

The description states that Kenya Payroll Assistant was inspired by the difficulty Kenyan employers face when running payroll manually. The tool aims to make payroll clearer, faster, and less stressful for small businesses.

It positions itself as a solution to a complex local problem — compliance with Kenya’s payroll laws, including tax bands, statutory deductions, reliefs, contribution limits, and filing timelines.

The author claims that the tool helps employers understand not only what to deduct but why each deduction matters. It is described as solving a real local problem for Kenyan businesses.

Inference The positioning is clearly local, targeting Kenyan employers, especially small businesses. The evolution of the claim is from a hackathon idea to a potential full-featured payroll companion, with future features like payslip generation and compliance deadline reminders.

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Target Customer & ICP

The description states that Kenya Payroll Assistant targets Kenyan employers, particularly small businesses, who struggle with manual payroll calculations and compliance issues.

It is described as useful for business owners who may not be payroll experts, aiming to make the experience practical and understandable.

Inference The target customer is likely small-to-medium enterprises (SMEs) in Kenya that do not have dedicated HR or finance teams. The ICP appears to be non-expert users seeking clarity and compliance without technical complexity.

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Business Model & Pricing Evidence

The description does not provide any evidence of a business model or pricing structure. It only describes the tool’s functionality and future features.

Not evidenced

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Technical & Delivery Signals

The project was built using Python and PostgreSQL, as declared by the author.

It is described as being designed to be transparent, showing how deductions are calculated rather than just displaying results.

Future development plans include:

  • Employee payslip generation
  • Multi-employee payroll processing
  • Monthly payroll reports
  • CSV and Excel imports
  • Statutory filing summaries
  • Compliance deadline reminders
  • Payroll audit history
  • Employer dashboard analytics

Inference The tool is likely a web-based application or desktop tool, with a focus on user transparency. It is not evidenced to have been deployed or used in production.

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Traction & Maturity Signals

The description states that this project was submitted to the OpenAI 2026 hackathon and is currently in early development.

It has no evidence of revenue, customers, or adoption beyond its submission to a hackathon.

Not evidenced

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Competitive Context

The description does not provide any information about existing payroll tools in Kenya or their features. It does not mention competitors or market positioning relative to them.

Not evidenced

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Key Risks & Red Flags

  • The tool is described as a hackathon submission with no evidence of traction, revenue, or customer adoption.
  • The team size is listed as one person, which raises questions about scalability and execution capability.
  • There is no evidence of compliance validation or integration with official Kenya payroll systems or APIs.
  • No mention of data security, privacy, or audit capabilities — all critical for payroll tools.
  • The tool is described as a prototype, not a production-ready product.

Inference The project is in an early stage and lacks commercial viability signals. It may be a useful concept but has not demonstrated real-world utility or market traction.

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Diligence Questions To Ask The Founders

  1. Has the tool been tested with actual Kenyan employers or businesses?
  2. What specific compliance requirements does it address, and how is accuracy ensured?
  3. Are there any partnerships or integrations with official payroll systems or government bodies in Kenya?
  4. How will the tool scale to support multiple employees or large organizations?
  5. Is there a plan for monetization or long-term sustainability beyond the hackathon?
  6. What is the timeline for moving from prototype to production-ready product?

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Investment/Partnership Verdict

The description states that Kenya Payroll Assistant was built as part of a hackathon submission and has no evidence of revenue, customers, or traction.

It is described as a concept with potential but not yet proven in the market. The tool is in early development and lacks commercial signals such as users, adoption, or monetization.

Inference This project is not ready for investment or partnership at this stage. It may be a promising idea, but there is no evidence of product-market fit or commercial viability. It would require significant further development and validation before it could be considered for funding or collaboration.

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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.