Recording of the visual regression run on speakcn.com · SpeakCN — app walkthrough.

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Test recording

SpeakCN — app walkthrough

17,839 ms · 0 pixels changed · matches baseline

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export async function test(page, baseUrl, screenshotPath, stepLogger) {
  const shot=(n,s)=>screenshotPath.replace('.png', '-'+n+'-'+s+'.png');
  await page.context().setExtraHTTPHeaders({ 'User-Agent':'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/132.0.0.0 Safari/537.36' }).catch(function(){});
  await page.goto('https://speakcn.com/', { waitUntil:'domcontentloaded' });
  await page.waitForLoadState('networkidle').catch(function(){});
  await page.waitForTimeout(2800);
  stepLogger.log('Scenario 1: Learning dashboard (authed)');
  await page.screenshot({ path: shot(1,'dashboard'), fullPage:true });
  const tabs=['Statistics','Badges','Curriculum','Favorites','Settings'];
  let idx=2;
  for (const t of tabs) {
    if (idx>5) break;
+11 more lines — claim the test to get the full code.

Checks run

Run
✓
Visual
✓
Text
—
DOM
✓
Network
—
Console
✓
A11y
—
Perf
✓
URL
✓
Variables
—
Full report
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0
Diff px
18s
Duration
—
Accessible
A
Fast
Web Vitals · 100

Notes from the demo run

AI-generated

SpeakCN ('Mandarin Master') is a Mandarin pronunciation/learning SPA. Login is email one-time-code (or Google); the authed app is a single-page workspace with Curriculum, Statistics, Badges and Favorites, framed around tone/rhythm mastery.

Highlights
  • Frictionless code login
    A 6-digit email code (no password) gets a learner in fast; the gate is one screen.
  • Gamified progress
    Badge progress (0/17 lit) and per-episode learned/not-learned counts make progress legible from the first screen.
Friction points
  • SPA nav has no URLs
    Sections are button-switched with no route changes, so learners can't deep-link or back-button between Curriculum/Statistics — worth adding client routes.

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