EspressoLytics

Native iOS Product
Marketing Page

Overview

  • What It Is: A native SwiftUI espresso journal for serious home espresso enthusiasts, built to log shot inputs quickly, preserve brew context, and turn daily pulls into useful analytics.
  • Goal: Make home espresso dialing-in easier to repeat and improve by tracking dose, yield, time, grind, beans, grinder, notes, weather context, shot scores, and extraction trends in one polished iOS app.

Key Achievements & Features

  1. Native iOS Product Architecture
    • Built as an Xcode iOS project with the primary EspressoLytics scheme plus a dedicated EspressoLyticsScreenshots scheme for App Store media automation.
    • Uses SwiftUI for the product surface, SwiftData for local persistence, and a structured feature layout across Home, History, Settings, Services, Support, Models, Components, and Theme modules.
    • Targets modern iOS with bundle ID com.zachnovak.EspressoLytics, local version 1.0, and build 4 recorded in the Xcode project and release notes.
  2. Espresso Logging Workflow
    • Logs dose, yield, extraction time, grind size, bean, grinder, tasting notes, and brew timestamp through a fast Daily Log flow designed for repeated use while dialing in.
    • Uses reusable defaults for bean, grinder, and grind size so routine shots can be entered quickly without turning the app into a spreadsheet.
    • Includes a separate Dial-in mode for grind-tuning attempts so experimental shots can be compared without skewing the regular shot history.
  3. Weather-Aware Brew Context
    • Integrates WeatherKit and CoreLocation to attach local temperature and humidity context to espresso entries.
    • Supports refresh and permission-aware status handling so weather context degrades cleanly when location or WeatherKit access is unavailable.
    • Includes historical weather lookup support so backfilled brew entries can still capture nearby environmental conditions when possible.
  4. Analytics and Shot History
    • Models each shot with SwiftData fields for brew ratio, calculated extraction score, temperature, humidity, normalized bean identifiers, grind size, dial-in session data, and timestamps.
    • Builds a History surface with extraction trend charts, brew-ratio analysis, quality snapshot metrics, bean lookup, filters, pagination, and a tabular recent-shot view.
    • Uses Swift Charts and a dedicated heatmap chart component to make the logged data useful instead of just stored.
  5. Polished Coffee-Focused UX
    • Uses a custom espresso-themed visual system with glass-style cards, warm accent colors, rounded typography, and reusable UI components.
    • Adds popup feedback, confirmation flows, settings preferences, unit display options, and clear-history maintenance actions for daily usability.
    • Keeps the app intentionally focused on the espresso ritual rather than generic habit tracking.
  6. Release and Portfolio Readiness
    • Includes Fastlane metadata, screenshot, validation, and upload lanes for App Store Connect workflows.
    • Local release docs record version 1.0, build 4, submitted to App Review on April 30, 2026, with App Store Connect showing WAITING_FOR_REVIEW at that time.
    • Maintains a dependency security posture through pinned Swift package versions, Dependabot configuration, a dependency security audit workflow, and documented audit notes.

Technologies & Skills Demonstrated

  • SwiftUI
  • SwiftData
  • Swift Charts
  • WeatherKit
  • CoreLocation
  • Xcode
  • Fastlane
  • StoreKit/App Store Connect Release Workflow
  • PopupView
  • ExyteGrid
  • ConfettiSwiftUI
  • SwiftUI Introspect
  • GitHub Actions
  • Dependabot

Big-Picture Vision

  • Better Home Espresso Feedback: The product turns a messy daily ritual into a repeatable log, so beans, grinders, weather, and extraction behavior can be compared over time.
  • Small App, Real Product Discipline: EspressoLytics is intentionally narrow, but it still carries product details that matter: persistence, analytics, UI polish, release docs, screenshot automation, metadata, and dependency review.
  • Practical Personal Software: The app reflects the kind of software I like building: focused tools that solve a real workflow, respect the user's time, and make the underlying data easier to act on.
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