Tech When the Sky is Falling: Tools for Crisis Response
summary
MaskMatch launches in about 48 hours to route surplus masks directly to clinicians and scales from a Squarespace form and Google Sheets to Postgres backed Retool apps with Heroku, Mailgun, Twilio, FreeScout and Metabase. The project delivered nearly a million masks to roughly 6,000 healthcare workers, builds an auto matcher bin-packing worker to automate matches, increases throughput to tens of thousands per week, and ultimately stabilizes then gracefully shuts down when demand and volunteer capacity fall.
AI-written summary · about
chapters (28)
- 0:00Intro
- 0:58Meet Mask Match
- 1:28A Framework for Tech-Enabled Crisis Response
- 2:21What is Crisis Response?
- 3:34The PPE Shortage Dominates News
- 4:42Meet Our Co-Founders
- 5:02Mask Match: An elegant idea
- 7:05The Donation Process
- 8:00The System
- 8:25Reduce Errors, Track Successes
- 8:57Project Status - It's Working!!
- 9:43It's Chaos!
- 12:13Enable volunteer tasks
- 13:04Enable volunteer workflows
- 13:59Phase 2: Measure Impact
- 14:13Phase 2: System Status Report
- 15:36Volunteer Tooling Breakdowns
- 16:13Build Tools for Volunteer Efficiency
- 18:06It's time for a real database
- 20:05Harden Your Tools
- 21:04Automation
- 21:35Better Metrics
- 22:46The Crisis had Changed
- 23:30Problems
- 23:58Keep Delivering Impact
- 24:30Adapt to the World Around You
- 26:16Graceful Shutdown
- 26:57Final Project Status
related talks
23mReacting in a Crisis
28mLessons Learned from the Tech Community's...
29mSoftware is now Saving the World (or at least helping)
21mPlan for a resilient tomorrow
29m20x your high-performing agile delivery team
13mScaling for a Pandemic: How We Keep Ahead of Demand for Google Meet during COVID-19
32mHow We Survived (and Thrived) During The Pandemic and Helped Millions...
15mWhen Systems Flatline—Enhancing Incident Response with Learnings from the Medical Field