Product Designer & Developer
San Francisco, CA โข hello@nikkikipple.com โข linkedin.com/in/nikkikipple
Multidisciplinary designer with a passion for bridging the gap between design and engineering. Expert in building intuitive user experiences, design systems, and creative web applications that combine aesthetic excellence with technical precision.
Founder & Creative Director | Kipple Digital | 2021 - Present
Senior Product Designer | Tech Corp Inc. | 2019 - 2021
Instructional Designer | Education First | 2017 - 2019
Bachelor of Arts in Design Media Arts | University of California
Coming Soon!
Classic Klondike Solitaire will be available here.
I'm always open to new opportunities and collaborations.
Email: hello@nikkikipple.com
LinkedIn: linkedin.com/in/nikkikipple
Website: nikkikipple.com
Feel free to reach out via the guestbook as well!
How I'm solving the design feedback problem one critique at a time
Quick Facts
Product Designer & Founder
2024 - Present
Live & Iterating
An AI-powered design critique platform helping designers improve their craft through clear, educational, and actionable feedback. Built by a design professor who teaches the exact people she's serving.
Design education is broken. Not the fundamentalsโthose are solid. But the delivery? The access? The post-graduation support? Completely fractured.
Pre-2020: Design students got in-person critiques, studio culture, peer feedback
Post-Pandemic: Online classes, isolated learning, professors managing 200+ students via Zoom
The paradox: More people are designing than ever, but fewer people know how to design well. The tools got democratized, but the education didn't.
I spent months digging through design communitiesโ2.8M members on r/graphic_design, 109K on r/design_critiques, all desperately asking for feedback.
What I saw again and again:
The insight: AI democratized the tools, but it actually made expertise more valuable, not less.
I'm building The Crit as a learning partner, not a generic feedback bot. Every critique explains why design decisions work, not just what to change.
Why I'm Uniquely Positioned
"I'm not building a 'make my design better' button โ I'm building a design education platform that happens to use AI."
Fast prototyping, but hit credit limits and couldn't customize feedback quality.
More control over AI prompting. Better feedback consistency. Worth the technical overhead.
Instead of one AI trying to do everything, I built a multi-agent system orchestrated through n8n. Each agent specializes in one dimension of critique:
They collaborate to produce one unified Crit Sheet that's comprehensive without being overwhelming.
The ultimate goal: Democratize access to quality design education. Make good critique available to every designer, regardless of their educational background, location, or budget.
Building in public, iterating based on real feedback, and helping designers improve one critique at a time.
๐ thecrit.co
A daily market brief that saves busy investors 25 minutes every morning
Screenshot of dailyticker.co homepage with animated ticker and email signup
Quick Facts
End-to-End Product Strategy, UX, System Design, Implementation
Next.js 14, TypeScript, Tailwind, Supabase, Stripe, Polygon.io, Alpha Vantage, Finnhub
Freemium newsletter, $96/year premium tier
Daily Ticker delivers 1-3 curated stock picks at 8 AM EST with just enough context, risk, and education to make a decision in 5 minutes instead of 30-60. Built for busy, intermediate investors who want to stay in the market without doom-scrolling financial news.
I kept seeing the same pattern with people around me: they had $10-250k portfolios and real interest in the market, but either doom-scrolled CNBC, Reddit, and Twitter and still felt unsureโor gave up entirely and left money sitting idle.
Journey map or persona cards showing "Busy Builder Brad" and "Learning Lisa" with their goals and constraints
"I want to be in the market, but I have a full-time job. I don't have time to read 5 articles and 3 threads just to decide if I should hold NVDA today."
Professional traders have a 30-minute morning ritual: economic calendar โ indices โ charts โ trading plan. I realized if I could compress that into a 5-minute daily brief and prove it works, I'd have a strong product.
I designed the daily brief format first, then built the system around it. Every pick follows a fixed schema validated against what both pros and beginners actually use:
Screenshot of a single pick with callouts on "Summary", "Momentum", "Caution Notes", "Mini Learning Moment"
The daily experience: Email lands at 7:59 AM. User skims 3 picks in 5 minutes. Sees what the stock is, why it's moving, high-level risk, and what to watch.
I shipped the classic "thin slice": Next.js landing page with animated ticker, email capture flow, and daily briefs. But underneath, I took a risky shortcutโGPT-4 simulating current prices, news, and sentiment based only on its January 2025 training data.
What this meant:
The realization: For a product about people's money, simulated data isn't a cute bugโit's a trust deal-breaker. This triggered a complete data architecture redesign.
Time: 8-16 hours to go from simulated to real data
Budget: Max $50/month in API costs
Safety: No breaking changes to existing automations
UX: Must still feel fast and human, not like a CSV dump
I rebuilt the entire pipeline around a new principle: multiple independent data sources feeding a validation layer, which then feeds GPT-4 as a reasoning engineโnot a data source.
Data Sources (Alpha Vantage, Finnhub, Polygon) โ Aggregator & Validator โ GPT-4 Analysis โ Post-AI Checks โ Email + Archive
The New Pipeline
This transformed Daily Ticker from a good-looking demo into something I'd be comfortable using with my own money.
Competitors charge $199-$299/year for similar or less actionable information. I chose $96/year ($8/month annual, $10 monthly) as a sweet spot: affordable for intermediate investors, high enough to support a real business.
The initial instinct was to make almost everything free to grow quickly. But research showed that 90% free value means no one upgrades. I redesigned the tiers around a clear principle:
Free proves the product is real and useful
Premium provides the tools to trade with conviction
Free vs Premium table with checkmarks, locks, and "why this matters" for each premium feature
The 50-50 Split
Target: 25,000 subscribers, 8-10% conversion, $240-300k ARR in 12 months.
I ran a systematic messaging audit across the site:
Screenshot showing ROI calculator and how value ties to outcomes
The data architecture, value prop, and monetization story all reinforced a single narrative: "We save you time, help you avoid dumb mistakes, and give you the data you need to act with confidence."
The final pillar: tracking each pick's entry, exit, holding period, and return. Comparing performance vs S&P 500 benchmark. Surfacing win rate, average return, and sector breakdowns on a /performance page.
Hero section with big win rate number, average return, and vs S&P 500 comparison
This serves three audiences:
All metrics sourced from real-time APIs with explicit attribution. Price discrepancies flagged and handled gracefully.
Emails confidently state: "Data sourced from Alpha Vantage, Finnhub, and Polygon.io. Last updated at 8:00am EST."
Architecture supports performance dashboard for higher free-to-premium conversion and homepage trust signals.
Pipeline stays within free/low-cost API tiers under $50/month.
Daily market insights delivered to your inbox every weekday at 8am EST.
๐ dailyticker.co