Developing Apps for Developing Countries / go mobile
summary
Argues that using go-mobile and Go’s multicore tuning (GOMAXPROCS) to run parallel compression on-device reduces network usage enough to make Android apps viable for low-data users. Cites Africa averages of roughly 1 GB per person per year, mobile traffic growing toward ~40% CAGR by 2020, feature phones still about 50% global median, and M-Pesa handling roughly $200M year‑to‑date. Provides an experimental go-mobile library on GitHub and notes it’s a prototype with limited native UI support.
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chapters (20)
- 0:00Introduction
- 4:10Africa
- 6:10Data Consumption
- 9:00landline vs mobile
- 10:45Project Loon
- 11:30Internetorg
- 11:45Free Basics
- 12:45Feature Phones
- 13:45Apptrace
- 14:50Congo
- 15:30App Store
- 19:00DNA coefficient
- 20:25African diversity
- 21:05Low data consumption apps
- 22:15Go mobile
- 23:20Native
- 24:20Hybrid downsides
- 26:30Freedom
- 27:15Interface
- 28:15Guidelines
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