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fix: reorder case studies by impact + rewrite scraping challenges - #3
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…enges - Chartmetric case studies now order 1-3 (highest impact), existing ones 4-6 - Replaced fake difficulty percentages with real challenge descriptions: Ticketmaster (impossible), Discogs (7mo unsolved), TikTok (outage), Tunefind (API+HTML), Shazam (scale), Genius (throttle precision) - Visual component redesigned: challenge-type cards instead of bars - No implementation details revealed — results only Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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- Watchdog: removed self-inflicted 71-alert story, reframed as replacing months of manual firefighting with automated monitoring (before=chaos, after=stability) - CH Cloud contract: changed to ongoing negotiation (not completed) - Added ~$12K/mo target Snowflake savings from Analytics_Daily migration Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Watchdog section: 80% DAG failure rate → <20% across 5 Airflow services - 60% reduction in automated alerts (data_alert + SF warehouse rearrange) - Updated results section with both metrics (EN + ES) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Stats bar now shows: 288 migrated, ~$12K target savings, 60% fewer alerts, <20% DAG failures (was: 288 migrated, $4K/mo, 38 sources) Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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/case-studiesand/en/case-studies🤖 Generated with Claude Code