Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Shipping Post-PC by Antek Piechnik & Marcin Bunsch
Search
Railsberry
April 23, 2013
Technology
0
180
Shipping Post-PC by Antek Piechnik & Marcin Bunsch
Watch the video here:
https://vimeo.com/68759659
Railsberry
April 23, 2013
Tweet
Share
More Decks by Railsberry
See All by Railsberry
Nodecopter by Felix Geisendoerfer
railsberry
0
110
Creative machines by Joseph Wilk
railsberry
1
150
Internal tools by Keavy McMinn
railsberry
1
190
Solid as diamond by Paolo Perego
railsberry
1
190
Future of Online Education by Gregg Pollack
railsberry
3
180
Lessons from the Masters by Geoffrey Grosenbach
railsberry
0
100
Go - a simple programming environment by Andrew Gerrand
railsberry
12
2.8k
Zero-confidence by Katrina Owen
railsberry
4
1.4k
Saving the Elephant with Slonik by Agnieszka Figiel
railsberry
1
120
Other Decks in Technology
See All in Technology
[JDDStudy #10] 社内Agent勉強会の取り組み紹介
yp_genzitsu
1
130
LLM APIを2年間本番運用して苦労した話
ivry_presentationmaterials
16
11k
【AWS reInvent 2025 関西組 事前勉強会】re:Inventの“感動と興奮”を思い出してモチベ爆上げしたいです
ttelltte
0
120
自己的售票系統自己做!
eddie
0
310
QAエンジニアがプロダクト専任で チームの中に入ると。。。?/登壇資料(杉森 太樹)
hacobu
PRO
0
170
Data Engineering Guide 2025 #data_summit_findy by @Kazaneya_PR / 20251106
kazaneya
PRO
10
2.1k
マイクロリブート ~ACEマインドセットで実現するアジャイル~
sony
0
140
MCP サーバーの基礎から実践レベルの知識まで
azukiazusa1
27
14k
Datadog On-Call と Cloud SIEM で作る SOC 基盤
kuriyosh
0
110
AI時代に必要なデータプラットフォームの要件とは by @Kazaneya_PR / 20251107
kazaneya
PRO
4
920
Copilotの精度を上げる!カスタムプロンプト入門.pdf
ismk
10
3k
[AWS 秋のオブザーバビリティ祭り 2025 〜最新アップデートと生成 AI × オブザーバビリティ〜] Amazon Bedrock AgentCore で実現!お手軽 AI エージェントオブザーバビリティ
0nihajim
2
1.6k
Featured
See All Featured
Navigating Team Friction
lara
190
15k
Raft: Consensus for Rubyists
vanstee
140
7.2k
CSS Pre-Processors: Stylus, Less & Sass
bermonpainter
359
30k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
21
1.2k
Scaling GitHub
holman
463
140k
Build your cross-platform service in a week with App Engine
jlugia
234
18k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
46
2.6k
Why You Should Never Use an ORM
jnunemaker
PRO
60
9.6k
jQuery: Nuts, Bolts and Bling
dougneiner
65
8k
Leading Effective Engineering Teams in the AI Era
addyosmani
8
1k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
116
20k
Context Engineering - Making Every Token Count
addyosmani
8
360
Transcript
None
None
tech b r r b w real life fading
adjusts itself around other w
post pc era w v
post pc ? w
hardware ’ b experience
ubiquity
mobile
mobile don’t
r users
data r able to act b r users
note taking r v
everywhere b anytime
everywhere b
mobile r w
platforms r
frameworks r - f r
frameworks r - f r native
native experience b
native experience b time r
native experience b time r api v b
cool w ’r !
cool w ’r ! nope
offline? w f r ( r )
being online ’ r b
offline
offline f copies
offline f copies ’r sync
synchronization
synchronization conflict
synchronization conflict performance
f r 50% traffic b sync
anticipate design
endpoint extract
soa rv - r r r
api rails backbone.js fr native b
investment
f r development investment
f r development investment scalability r r
offline mobile architecture
people’s way f
w f accessing capturing
ubiquity interfaces r
‘natural’
capture data w ’ habits
entry effortless
None
track progress w r b
simple recipe r ’
bleeding edge f
game changer r w
None
None
natural interface r r be here
interfaces
simpler
bleeding edge learn and adapt r r
much so data
data? w b
simpler f
value ff r simpler f
ubiquity interfaces intelligence r
activities
activities insight v
work f r r
information r time r
magic f YAY :D
magic f YAY :D your data b ’ b aww
;<
b data r all
r r activity
r navigation // Log route events in Backbone Backbone.history.on('route', function(router,
name, args) { // Store route });
r ajax // Log AJAX calls in jQuery $(document).ajaxSuccess(function(ev, jqxhr,
options) { // Store AJAX call })
r mobile
v r r data
prediction
prediction b r v filtering
& content r
measure everything
f ’ r change w change
r w measure content r
measure
measure
measure feature v
metrics r data w ’r improve
v r data r everything r interaction
post pc w
post pc w advantage
None