Micavo is my independent product studio — three live Flutter apps on the App Store spanning productivity, AI-powered nutrition coaching, and AI career coaching. This page also has room for launch stories, traction highlights, and YouTube content as those materials come together.
What I build, why, and the problems I choose to solve.
Every product I've shipped reduces a small, recurring decision under time pressure into one clear answer — eat this or not, say this next, do this task first, is this product safe. I build the layer between "too much information" and "what do I do right now."
Professionals in meetings (Outshine), people managing what they eat (EatOrNot AI), anyone triaging a long task list (Critical Choice), and Taiwan consumers checking if a product they bought was recalled (食安雷達). Different apps, same shape of user: someone who needs a fast, trustworthy answer, not another dashboard to read.
15+ years as a Primary Test Owner and validation engineer at IBM, Synopsys, Cypress, and Parade taught me to distrust anything that isn't tested and hardened before it reaches real users — that discipline now runs my solo build process. I use AI-assisted development (Claude Code) alongside Flutter and Firebase to move from prototype to production in days, not months. 食安雷達 is a real example: built, deployed, security-hardened, and launched with a custom domain and transactional email in a single week.
EatOrNot AI, Outshine, and Critical Choice are live on the App Store; 食安雷達 is live in production as a public civic-data tool. Traction numbers aren't published yet — that's a next milestone, not a gap I'm hiding — but every product here is real, shipped, and in someone's hands today.
Three live products under the Micavo brand, each shipped end-to-end — product design, Flutter engineering, and App Store launch.
Traffic-light food decisions powered by meal photo/voice analysis, calorie and macro budgets, and permission-based Apple Health data.
Live AI coaching during meetings — a strategic question, a career signal, and what-to-say-next, plus automatic meeting summaries.
A productivity app built around the Eisenhower Matrix, helping users separate urgent noise from what actually matters.
Building AI products that help people make better decisions — the shared brand home for all three apps above.
This layout is prepared for your public speaking, product demos, founder reflections, educational clips, or technical breakdowns. You can add direct YouTube embeds or outbound links later.
Use this larger panel for the one video you most want interviewers or visitors to see first. It can be a founder introduction, a demo, or a high-signal talk.
Explain one product, one workflow, or one launch story with a short thumbnail, link, and key takeaway.
Use this for your reflections on building, decision making, launching, growth, or lessons learned.
Reserve this block for architecture, Flutter engineering, AI integration, or product implementation stories.
Use this area for meetup talks, interviews, livestreams, or cross-community content.
How I move from idea to shipped product.
Start from a real, narrow problem (not a feature list). Build a working version fast with AI-assisted development, ship it to real infrastructure — App Store or production hosting — rather than a private demo, then harden security and cost controls before pointing real users at it.
Not built out yet. Currently focused on shipping product; distribution and public sharing (YouTube, write-ups) are the next layer once there's something worth showing.
Flutter for mobile apps; Firebase (Hosting, Firestore, Cloud Functions) for backend and web products; Resend for transactional email; Cloudflare for DNS; GitHub for version control; Claude Code for AI-assisted development end to end, from first prototype to production deploy.
Four products are live; the current focus is turning that into a track record — gathering real usage and feedback on each app, tightening the ones with the most signal, and applying the same ship-fast-harden-after discipline to whatever problem I take on next.