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Farecast

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Users with intelligent airfare predictions

Seattle, United StatesFounded 2003Travel
Valuation $100–250M Last recorded · 2008
Headcount <100 Current team size
Total funding $10–50M Disclosed equity funding
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About Farecast

Farecast, founded in 2003 by University of Washington professor Oren Etzioni, carved a niche in the online travel market by developing a platform to predict airfare price fluctuations. The company's genesis stemmed from Etzioni's personal experience of discovering a fellow passenger had paid significantly less for the same flight by purchasing it later. This inspired him to apply his expertise in data mining and machine learning to analyze historical airfare data and forecast future price movements, a concept initially developed under the project name Hamlet.

Operating as a consumer-facing website, Farecast provided travelers with recommendations on whether to buy an airline ticket immediately or wait for a potential price drop, claiming a prediction accuracy of around 70 percent. The platform systematically collected vast amounts of airfare data, tracking price changes to power its predictive algorithms. Beyond airfare, the service expanded to include hotel room analysis, indicating whether a current rate was a good deal. The business model was straightforward, generating revenue through online advertising and referral fees from sending qualified leads to airline and hotel partners.

A significant milestone was the introduction of "Fare Guard," a service that allowed users to lock in a low fare for a fee, offering a refund if the prediction proved incorrect. After launching its public beta in 2006 and officially premiering in May 2007, Farecast quickly gained traction. The company secured over $20 million in venture capital from backers including Madrona Venture Group, Par Capital Management, and Greylock Partners. This culminated in its acquisition by Microsoft in April 2008 for an estimated $115 million. Following the acquisition, Farecast was integrated into Microsoft's Live Search, later rebranded as Bing Travel, and eventually MSN Travel, though the original airfare prediction feature was discontinued in 2014.

Source: Dealroom company data

At a glance

Status
Acquired
Founded
2003
Headquarters
Seattle, United States
Employees
1
Open positions
None listed
Dealroom signal
23.3/100
Industry
Travel
Sub-industry
Booking & Search
Sector
Travel, Spinout
Client focus
b2b

Funding history

5 recorded events

Company financing events and reported valuations.

Deal typeDateAmountValuationInvestorsSource
ACQUISITION✓Exit Apr 2008 $115M $115M Microsoft —
SERIES C✓Equity / VC Jan 2007 $12M $48M Greylock Partners · Sutter Hill Ventures · PAR Capital Management · Pinnacle Ventures —
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Growth signals

Farecast website traffic

Latest recorded traffic for Farecast is 270 monthly website visits, up 68.8% over the last three months. Farecast's team grew 0% over the past year.

Latest monthly visits270 3-month web change+68.8% 1-year team growth0%
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Similar companies

Closest operating peers by Dealroom taxonomy

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Investments and acquisitions

Capital deployed

Recent portfolio relationships for companies that also act as investors or acquirers.

Investors

8 investors on the cap table

From Dealroom's funding and investor records, grouped by the round each investor first entered.

Series A3 investors entered at this stage

Series B and later3 investors entered at this stage

Other known investors2 additional known investors

Team profiled 13 named & role-tagged
Founders Hidden — book a demo/100 quality score
Key operators 1 quality Hidden — book a demo/100
Potential founders Hidden — book a demo likely future founders
Startup mafia Hidden — book a demo alumni-founded startups
Talent movements Hidden — book a demo in · Hidden — book a demo out past 12 months

Source: Dealroom Talent Intelligence.

Global footprint

Workforce and web traffic by country
Workforce by country
🇺🇸 United States · Seattle HQ
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Market sentiment

Posts on X, past 7 days

An AI-synthesised read of the highest-engagement posts about Farecast on X, ranked by likes and reposts, corporate channels excluded.

Reading the room on X — pulling top posts and synthesizing themes…

Source: X recent search ranked by engagement (likes + retweets) · Synthesis by Claude · Cached for 1 hour

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