2THUMBTACK NOVEMBER 2015

HIRING LOCAL PROFESSIONALS IS STILL SHOCKINGLY HARD

Directories have moved online, but the process hasn’t changed in generations

3THUMBTACK NOVEMBER 2015

THUMBTACK IS BUILDING THE BEST AND MOST TRUSTED WAY TO

HIRE A PROFESSIONAL FOR ANY PROJECT, ANYTIME, ANYWHERE

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• Interested, available and qualified professionals come to customers

• Customers have the confidence to know who is best and that they’re paying a fair price

• One-stop-shop for all their service needs

• Free to use

Customers

• A cost effective and performance-based way to acquired new customers ($3–15 to submit each quote)

• Eliminates need to spend time on outbound marketing

• Mobile platform to run their business

Professionals

OUR MARKETPLACE CONNECTS CUSTOMERS AND PROFESSIONALS

5THUMBTACK NOVEMBER 2015

Receive multiple quotes from pros

• Up to 5 quotes • Median quote within 1 hour • Pricing and response customized

to customer’s unique needs

Customers tell us what they need

• 800 categories with questions customized to each service

• 8-10 unique questions per category

Compare prices, reviews, profiles

• Detailed info on each pro • Reviews tied to past work • Licensing and other credentials

Hire the pro who’s right for them

• Customers can call or message pros to discuss the work before hiring

CUSTOMERS CAN GET FROM REQUEST TO HIRE IN < 1 HOUR

6THUMBTACK NOVEMBER 2015

DATA INFRASTRUCTURE @ THUMBTACK

Democratizing access to data & building data products

7THUMBTACK NOVEMBER 2015

USE CASES

Experiments A/B Testing

Analytics Ad-hoc SQL BI Dashboarding Event analytics

Data Products Matching Pricing

Icon Credit: Noun Project. Blake Thompson, Mister Pixel, Creative Stall

8THUMBTACK NOVEMBER 2015

2014: WHERE WE CAME FROM

Analytics & BI

Event Analytics A/B Testing & Experiments

events

relational

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KEY PROBLEMS TO SOLVE

• Analytics queries hitting production Postgres replica

• MongoDB not scaling with event data volume

• Single Python process on one machine running Mongo queries for event & experiment analysis

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HA HDFS

events

relational

Production Cluster

Looker Mode Analytics

Analytics / BI

Airflow

Impala

2015 DATA PLATFORM INFRASTRUCTURE

A/B Testing Matching

Eng ClientsPricing ...

Custom APIs

Sqoop

Custom ETL

Parquet (Snappy)JSON

(1.5.1 on YARN)

Spark Core Spark SQL MLLib

Spark SQL

11THUMBTACK NOVEMBER 2015

• Spark: Investigating Spark Streaming for event data, several additional use cases for MLLib

• Migrate Spark batch jobs from crons onto Airflow

• Moving event ETL pipeline onto Kinesis

WHAT'S NEXT?