All case studies

Fintech & financial education

Wend Finance

I designed and built a web and iOS app from scratch in four weeks, using Rails, Hotwire Native, article scraping, and AI agents to make personal finance education timely and approachable.

to ship web and iOS
4 weeks
Wend Finance product interface
My role
Product designFull-stack developmentMobile app developmentAI developmentData pipeline automation
Technology
Ruby on RailsHotwireHotwire NativeStimulusPostgreSQLAI agentsWeb scrapingOpenAI

01 / The challenge

Making personal finance feel relevant, social, and current.

Wend Finance set out to teach personal finance and investing through pop culture, market news, and community discussion. It needed to feel like a living media and forum experience rather than a static course library. The challenge was to build the complete web and iOS experience quickly while creating a content engine that could keep the community supplied with worthwhile stories.

  1. 01No existing product, design system, backend, or mobile app
  2. 02A four-week window for both web and iOS
  3. 03A constant need for relevant finance and culture stories
  4. 04The risk of flooding the feed with generic content

02 / The solution

A lean Rails product with AI-powered curation.

Wend began as a blank canvas. I designed and built the application across web and iOS around a different model for finance education: connecting money and investing to pop culture, current events, creator stories, sports, entertainment, and market conversations people already cared about.

The web app centered on a community reading experience. Users could browse ranked finance stories, filter by topics, follow source links, and discuss individual articles. Familiar social-news patterns made the product immediately legible while leaving room for Wend’s own editorial identity.

Ruby on Rails sat at the center of the stack because speed, convention, and built-in product primitives mattered more than architectural ceremony. Models, authentication, background jobs, admin workflows, and server-rendered views stayed in one maintainable application.

I built ingestion workflows that scraped articles from multiple sources, normalized their metadata, extracted summaries, and prepared each story for automated review. AI agents then judged topic fit, cultural relevance, usefulness, and discussion potential. They rejected generic pieces, classified accepted stories, and produced concise summaries for the feed.

The forum layer lived directly inside the Rails product, keeping posts, comments, rankings, topics, and sources in one model. With Hotwire Native, the same screens and product logic also powered an iOS experience without rebuilding everything in a separate native codebase.

The design balanced an approachable editorial feed with bold brand moments, topic badges, social actions, and phone-friendly navigation. It made finance feel accessible without making it feel unserious.

What the work delivered

  • AI-curated finance content
  • Community-first reading experience
  • One lean Rails stack across web and mobile

03 / The outcome

Wend shipped as a complete web and iOS product within four weeks, with an AI-assisted content pipeline, topic-based feeds, community discussion, source attribution, and a lean Rails foundation built for rapid iteration.

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