Launch an AI recruitment agent to source hard-to-reach candidates

TechTree's Agent automatically sources and engages candidate by deploying agents combining LLM-powered language & context skills with a hedge fund-like approach [powered by unique data] to the selection process.

What our clients are saying:

"Our experience with TechTree and its data-driven recruitment platform has been incredible. We worked closely together to make a staff-level hires with a combination of Founder experience and background in Nvidia, Meta and Box. We're continuing to work together and highly recommend."
Conrad Wadowski (US)
Founder at Kick
[$250m + exit, backed by Open AI & General Catalyst]
"TechTree helped us hire a key engineer (ex-founder, 1st engineer at a unicorn SaaS). Their platform is fast, responsive, and data-driven. Highly recommended."

Fryderyk Wiatrowski
Co-founder at Zetalabs
[Backed by Nat Friedman & Daniel Gross]

TechTree's AI Agent:

The fastest and most accurate way to get perfect candidates to your open roles with 0 upfront cost.

80%+

of candidates invited to interview

75%

of candidates progressed in process

77%

of processes took under 3 weeks

How it works:

Step #1

Share Job

+ Link to job post
+ Copy paste of JD
+ Notion page
+ PDF 

& (optional)
add extra criteria via AI chat
Step #2 (optional)

AI Research

You can edit it in a copilot mode and make the agent reach out to the candidates approved by you or rely on agent’s selection
Step #3

Automated reach out

Can be done from founders account to increase conversion
Step #4

Get interested candidates

Presented via the channel you prefer:
+ ATS
+ Email
+ Slack
+ Anything (Notion, Trello board etc.)
You pay only when you hire!

Engagement

Engage + Intro
7.5%
of annual salary
Automated list generation
Shortlist relevant candidates
Automated outreach
Connect and message via your LinkedIn
Scheduling
Lock in interviews
Screen
Run 1st interview to qualify
Get started

Engagement + screening

Engage + Screen + Intro
15%
of annual salary
Automated list generation
Shortlist relevant candidates
Automated outreach
Connect and message via your LinkedIn
Scheduling
Lock in interviews
Screen
Run 1st interview to qualify
Get started

Super granular AI Research results

To meet the sophisticated needs of VC and PE-backed companies, we’ve integrated data from multiple sources, including
+ LinkedIn
+ Detailed company info (funding, headcount, investors)
+ Academic track record
+ career details - tenure length, promotions

We've also developed new, high-signal metrics by connecting fragmented data sources. Examples include:
+ Career stage at specific companies
+ Candidates who worked at companies backed by specific investors
+ TechTree score: a talent quality score based on multiple factors.

Example of Data Points:

Investors

The caliber of investors who supported the companies where an individual worked.

Stage Experience

The funding stage that companies were in during the candidates' tenure there.

Employment Data

The titles, tenures, promotions, job category, seniority, etc.

Change Logs

Any changes made to their LinkedIn to indicate intents (job search, founding, etc)

TechTree Score

Proprietary career weighting score (promotions, tenures, investors, etc).

Context Skills

Insights by interpreting information through its context and environment.

Shared Connections

The shared work history of your network, enabling you to find the best intro route.

And more...

Any publicly available
data point

Ask us anything

Who are you?

Our clients include companies backed by top investors like YC, General Catalyst, Index, Open AI, Creandum, Episode 1, Playfair, Notion, Advent, EQT any many more.We're also backed by leading VCs Notion Capital and Frontline Ventures as well as some top angels - ex Global CTO of Workday, ex CFO of Ebay, co-founder of Monzo, ex CEO of Skype, ex Head of Sales of Stackoverflow.

What is your approach?

Unlike many, we don't solely rely on LLMs for the entire process. Our decision-making agent integrates our unique data set allowing us to immediately identify individuals with experience in companies from pre-seed to Series A stages and filter by specific investors backing these companies, including YC, Sequoia, and more.

What are examples of recent hires?

- Open AI-backed AI book-keeping agent hire a Staff Engineer
+ 15+ years of experience, ex-Nvidia and Meta, with founder experience
+ 1 of first 10 hires
EarlyBird-backed AI agent startup hire a Machine Learning Engineer
+ 15+ years of experience, technical founder with a successful exit to unicorn fintech
+ 1st ML Engineer hire
- AI agent founded by ex-Meta Llama-2 co-author (backed by Daniel Gross & Nat Friedmann) hire a Senior Backend Engineer
+ 15+ years of experience, 1st employee at a unicorn SaaS who stayed there for over 7 years)
+ 1st backend hire

If I go for success fee, what are the refund terms?

TechTree is committed to the following cashback:
+ 100% Refund up to 2 weeks
+ 80% Refund up to 1 month. 
+ 50% Refund up to 2 months
+ No refund after 2 month

Looking to talk to someone?

Book a demo