Power Law company profile

Airbyte

Other B2B Software · San Francisco, United States · Founded 2020 Unicorn

Automates data pipelines in minutes, with pre-built or custom connectors, from a UI or an API

Valuation

$1–2.5B

Latest valuation · 2026

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Revenue

$100–500M

Latest reported FY

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Headcount

100–500

Current team size

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Featured in Unicorn$1B+ valuation tier · Power Law dataset 2026 $10B+ revenueThoroughbred · Power Law outcome

Investors

18 investors on Airbyte's cap table

Sourced from Dealroom's funding history. Investor profile links are shown where available.

Seed 10 investors entered at this stage

Liquid 2 Ventures

Calvin French-Owen

Accel

Y Combinator

Charles Zedlewski

Auren Hoffman

Alain Rossmann

8VC

Travis May

Rebel Fund

Series A 4 investors entered at this stage

Dev Ittycheria

Benchmark

Shay Banon

SV Angel

Series B+ 4 investors entered at this stage

Global footprint

Where Airbyte has talent and traffic

AI talent share

2.4% of workforce is AI talent
(3 of 127 staff)

Core AI00%

Other AI32.36%

Non-AI workforce12497.64%

Workforce by country

🇺🇸 United States · San Francisco HQ

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Web traffic by country

240K monthly visits
across markets

🇺🇸 United States11%

🇮🇳 India10.4%

🇨🇦 Canada5.2%

🇩🇪 Germany5%

🇬🇧 United Kingdom4.8%

Top 5 markets shown

Patent intelligence

$4k patent portfolio · 1 active families

Estimated portfolio value

$4k

<0.01% of valuation · 408.8× smaller than top peer Kong ($2M)

1 active patent families

Where Airbyte innovates User inputSystems engineeringComputer engineeringSoftware engineering

Where Airbyte concentrates vs peers

Each axis is a top-10 topic across Airbyte and its closest peers. #1 = 100, #10 = 10, absent = 0.

Compare against

Source: Dealroom Patent Intelligence · Patsnap. Request a demo for the full per-sub-category breakdown, individual records, and quality-score history.

Market sentiment

What the market is saying about Airbyte

An AI-synthesized read of the highest-engagement posts about Airbyte on X over the past 7 days. We rank by likes & retweets, ignore corporate channels, and surface the themes that broke out from real people.

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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