Joseph RwandaJoseph Rwanda
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2026

Votia

Run award-style votes your audience will actually finish.

Votia is a production voting SaaS that lets organizations create voting sessions, register nominees, share links, and collect verified votes — with email-OTP voting and paid bulk voting via Paystack, plus per-session dashboards and analytics.

Stack

Next.js
TypeScript
Supabase
Vercel
Paystack
Turbopack

Proof metrics

Voting modes
Verified email-OTP + paid bulk voting
Payments
Paystack checkout for vote purchases
Release cadence
17 production deployments (and counting)

Problem

Award and recognition votes often run on ad-hoc forms with no verification, so results are easy to game and hard to trust.

Organizers need a guided path from session creation to nominee registration to shareable voting links.

Monetized voting (paid bulk votes) requires real payment handling, not a spreadsheet tally.

Solution

Built a guided organizer flow for creating sessions, registering nominees with photos, and publishing category ballots.

Added verified voting via email OTP to reduce duplicate and fraudulent votes.

Shipped a paid bulk-voting mode with Paystack checkout, per-session vote purchases, and analytics.

Made shareable links chat-friendly with proper Open Graph previews for WhatsApp and social.

Architecture

Frontend: Next.js (Turbopack) and TypeScript for the organizer dashboard and public ballots.

Auth/data: Supabase for organizations, sessions, nominees, and vote records with production email-confirmation flows.

Payments: Paystack APIs for vote purchases with allocation logic across nominees.

Delivery: continuous deployment on Vercel with a custom domain and verified production history.

Outcomes

Delivered a trustworthy, monetizable voting product that takes organizers from setup to verified results.

Demonstrated payment-integrated SaaS with a real, iterative deployment history on Vercel.

Extended the OrigamiTech product line into audience engagement and event tooling.

Links & artifacts

Live DemoOrigami TechContact

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Joseph Rwanda

Production AI Engineer | Remote · LLM agents & evals | Nairobi UTC+3

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