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
Smoozの開発舞台裏 @ BP Study 2016.11.11
Search
Sponsored
·
Your Podcast. Everywhere. Effortlessly.
Share. Educate. Inspire. Entertain. You do you. We'll handle the rest.
→
Yuichi Kato
May 16, 2017
Science
1
410
Smoozの開発舞台裏 @ BP Study 2016.11.11
Yuichi Kato
May 16, 2017
Tweet
Share
More Decks by Yuichi Kato
See All by Yuichi Kato
スマホブラウザ「Smooz」のマネタイズで得た知見
maxkato
11
5.6k
Creating tools for the future
maxkato
0
3.1k
ブラウザアプリ『Smooz』を作る中で会得した WKWebviewの3つのTips
maxkato
6
2.5k
Other Decks in Science
See All in Science
データベース12: 正規化(2/2) - データ従属性に基づく正規化
trycycle
PRO
0
1.1k
あなたに水耕栽培を愛していないとは言わせない
mutsumix
1
270
Lean4による汎化誤差評価の形式化
milano0017
1
440
academist Prize 4期生 研究トーク延長戦!「美は世界を救う」っていうけど、どうやって?
jimpe_hitsuwari
0
480
コミュニティサイエンスの実践@日本認知科学会2025
hayataka88
0
140
baseballrによるMLBデータの抽出と階層ベイズモデルによる打率の推定 / TokyoR118
dropout009
2
840
Navigating Weather and Climate Data
rabernat
0
120
次代のデータサイエンティストへ~スキルチェックリスト、タスクリスト更新~
datascientistsociety
PRO
3
29k
Collective Predictive Coding as a Unified Theory for the Socio-Cognitive Human Minds
tanichu
0
170
Hakonwa-Quaternion
hiranabe
1
180
データベース11: 正規化(1/2) - 望ましくない関係スキーマ
trycycle
PRO
0
1.1k
安心・効率的な医療現場の実現へ ~オンプレAI & ノーコードワークフローで進める業務改革~
siyoo
0
470
Featured
See All Featured
Done Done
chrislema
186
16k
The Organizational Zoo: Understanding Human Behavior Agility Through Metaphoric Constructive Conversations (based on the works of Arthur Shelley, Ph.D)
kimpetersen
PRO
0
250
Evolving SEO for Evolving Search Engines
ryanjones
0
140
Groundhog Day: Seeking Process in Gaming for Health
codingconduct
0
110
How to build a perfect <img>
jonoalderson
1
5.2k
Docker and Python
trallard
47
3.7k
How to Talk to Developers About Accessibility
jct
2
140
Primal Persuasion: How to Engage the Brain for Learning That Lasts
tmiket
0
270
The MySQL Ecosystem @ GitHub 2015
samlambert
251
13k
Building a Scalable Design System with Sketch
lauravandoore
463
34k
Agile Leadership in an Agile Organization
kimpetersen
PRO
0
94
Hiding What from Whom? A Critical Review of the History of Programming languages for Music
tomoyanonymous
2
460
Transcript
1 ΞεπʔϧגࣜձࣾɹՃ౻༤Ұ Smoozͷ։ൃཪ
2 1. Smoozͷ͝հ 2. ۀ·ͰͷಓͷΓ 3. ࠔ 4. ϩʔϯνɾάϩʔε 5.
ࠓޙ
3 Search Entertainment ݕࡧΛͬͱָ͘͠
4 ݕࡧ ใ
5 ݕࡧ ใ ʰߦ͖ࢭ·Γʱͷϒϥδϯά
6 ਅాؙΛݕࡧ מਖ਼༤Λݕࡧ ιʔγϟϧͰͷ Ԡ͕Γ͍ͨ מਖ਼༤ͷಈը ݟ͍ͨ ࢹௌʁ ڈͷେՏʁ 4NPP[ʹ͓͚Δϒϥδϯά
7 ਅాؙΛݕࡧ מਖ਼༤Λݕࡧ ιʔγϟϧͰͷ Ԡ͕Γ͍ͨ מਖ਼༤ͷಈը ݟ͍ͨ ࢹௌʁ ڈͷେՏʁ 4NPP[ʹ͓͚Δϒϥδϯά
ʰҶͮΔࣜʱϒϥδϯά
8 ʰҶͮΔϒϥδϯάʱΛ ࣮ݱ͢Δ͘͠Έ 6* "* ιʔγϟϧ
ࢸۃͷλϒૢ࡞ ৽نλϒ Γସ͑ ด͡Δ
ࣗવݴޠղੳʹΑΔݕࡧ୯ޠ༧ଌ ಡΈࠐΈதʹݴޠղੳ ݕࡧ୯ޠΛ͓͢͢Ί
εϚʔτϒοΫϚʔΫ ίϝϯτ͕ಡΊΔ ϒοΫϚʔΫߘ λΠϜϥΠϯ
12
13 ڀۃʹͳΊΒ͔ͳϒϥδϯάମݧ
14 ݄ϦϦʔε 35,000μϯϩʔυಥഁ
15 ͳͥ৽͍͠εϚϗϒϥβ͕ ඞཁͳͷ͔ʁ ୭͕ຖ͏ΞϓϦ J1IPOFੜ࣌Ҏདྷɺେ͖ͳਐԽ͕ແ͍ ςΫϊϩδʔͷେ͖ͳਐา
16 12% 88% ࠃεϚϗϒϥβࢢɹ ສϢʔβʔ 600ສ Ϣʔβʔ σεΫτοϓɾϒϥβʢຊʣ ࢀߟ 12%
88%
17 ͜Ε·ͰͷϒϥβͷՁͷ࡞Γํ ϨϯμϦϯάΤϯδϯ Ճػೳ
18 4NPP[ͷՁͷΓํ ϨϯμϦϯάΤϯδϯ 8FC,JU ৽͍͠Ϣʔβʔମݧ User Interface AI ιʔγϟϧ
19 ϒϥβ͕ݡ͘ͳΔͱ ωοτ͕ͬͱָ͘͠ͳΔ
20 ݕࡧީิ ຊจநग़ ϥϯΫ͚ ؔ࿈୯ޠநग़ ͔ͪॻ͖ 63- ࣗવݴޠॲཧ ݕࡧ୯ޠϦίϝϯσʔγϣϯ
21 νʔϜ CEO / Engineer Engineer Designer ౬ઙలو ιχʔɾָఱͰϓϩμΫτϚ ωδϝϯτʹ̔ैࣄͨ͠ޙɺ
ಠཱɻ ݸਓͰ։ൃͨ͠TennisCore ͰAppleϕετΞϓϦΛड ɻ Ճ౻༤Ұ ࢁቌॏଇ University of Maryland, Baltimore Countyֶ࢜ɻ ໊ ݹେֶେֶӃʢଟݩཧʣ म࢜ɻήʔϜ։ൃ ɺϑϦʔ ϥϯεΛܦͯɺSmoozϓϩ δΣΫτࢀըɻ SNAPɺָఱɺϚωʔ ϑΥʔϫʔυʹͯɺଟ͘ͷ αʔϏεͷσβΠϯʹཱͪ ্͛ϑΣʔζ͔ΒܞΘΔɻ ݱࡏϚωʔϑΥϫʔυࣾʹ ۈ͠ͳ͕ΒSmoozϓϩ δΣΫτΛαϙʔτɻ
22 ۀ·ͰͷಓͷΓ
23 ΪʔΫগ
24 खͷͻΒͷ্ʹใΛͷͤΔָ͠͞
25 ιχʔͰੜ࢈ཧ
26 ։ൃɾ ϦʔυλΠϜ ൢചऴྃ ग़ՙ ։ൃ։࢝ ۚܕ ಋମ औΓ ྔ
N N-5 N-4 N-10 ಋମ TO N+10 N-1 ྔ࢈ ൃ ൃ
27 ݟࠐΈ ࣮ ྦྷܭ100ສ Πχγϟϧ 40ສ ઐ༻෦ ൃࡁΈ 50ສ ൢച࣮
30ສ ྫ͑ɾɾɾ
28 ઐ༻෦ࠩผԽϋΠϦεΫ ൚༻෦ίϞσΟςΟϩʔϦεΫ
29 ιχʔɾΤϦΫιϯͰاը
30 ࡾํྑ͠ϢʔβʔϑΝʔετ
31 ΠϊϕʔγϣϯͷδϨϯϚ
32 ָఱͰϓϩμΫτϚωʔδϟʔ
33 ਓͰ࡞ͬͯ̓ԯਓʹΛಧ͚Δ
34 ىۀՈಛผͳਓؒͰͳ͍
35 ݸਓ։ൃ TennisCore
36 Ξεπʔϧגࣜձࣾۀ ʙʣ
37 ϛογϣϯ ਓؒͷೳྗΛ֦ு͢Δ ະདྷͷಓ۩ΛΔ
38 4NPP[ͷཪ
39 ͍͔ؒͭ͘ͷϓϩμΫτΛࢼ࡞ ˣ Ϧηοτ ˣ ࢼ࡞࠶։ ˣ 4NPP[
40 νʔϜ่͕յͨͬͯ͠ɺਐΈଓ͚Δ͔͠ແ͍
41 J048,8FC7JFXͷ̏ͭͷ5JQT
42 डୗΛଓ͚Δ͔ɺࢿۚௐୡ͢Δ͔
43 ͷͮ͘Γϓϩηεͱπʔϧͷ߆Γ
44 اըɾσβΠϯ λεΫཧ վળ
45 ϓϩμΫτεϖοΫ λεΫνέοτ
46 ϓϩμΫτʹࠐΊͨࠢΛετʔϦʔʹ͢Δ
47 ϏσΦͱϓϩμΫτΛ༻ҙ
48 ϚεͰͳ͘ݸਓʹಧ͚Δ
49
50 App Store τοϓܝࡌ
51
52 όϒϧͷޙ
53 69վળ άϩʔεɾϋοΫ ࠂ άϩʔεϋοΫ άϩʔεͷߟ͑ํ 13 PMF
54 Ճओٛͱݮओٛͷόϥϯε
55 Value Proposition ग़ՙ࣌ ͷՁ Ճओٛ ݮओٛ
56 1 2 3 4 5 6 5.7ճىಈ/Day
57 13 27 40 53 67 80 71PV/user ϝχϡʔʹURLίϐʔɺ࠶ಡࠐ ͷϝχϡʔՃ
λϒͷݻఆɺӾཡཤྺɺ Ґஔใऔಘ
58 ϒϥβ͕ݡ͘ͳΔͱ ωοτ͕ͬͱָ͘͠ͳΔ
59 "QQFOEJY
1Ϧςϯγϣϯɹ8% up 7Ϧςϯγϣϯɹ7% up
61 ϒϥβ͕ݡ͘ͳΔͱ ωοτ͕ͬͱָ͘͠ͳΔ
62 "QQFOEJY
63 ͖ͭ͵͚ͨײಈΛͭ͘Δ
64 ΞϓϦνϟοτ αϙʔτ ฦ৴
65 Ξϯέʔτ Mixpanel Notification
66 ߋ৽௨ ϨϏϡʔ
ίΞ Ϣʔβʔ
68 ͖ͳϓϩμΫτͮ͘ΓΛͰ͖Δͤ
69 ࠓޙͷల։
70 ΤϯδχΞืूͯ͠·͢ʂ 3BJMTɺࣗવݴޠॲཧɺػցֶश J04ɺ"OESPJE
71 ϒϥβ͕ݡ͘ͳΔͱ ωοτ͕ͬͱָ͘͠ͳΔ
72 ͝ਗ਼ௌ͋Γ͕ͱ͏͍͟͝·ͨ͠ɻ