TechTree Digest: AI Research & Recruitment Agent Launch

In Q3 we launched our AI Recruitment Agent. It helped startups backed by top VCs like OpenAI, Index, General Catalyst and more make hires in an automated way. We're now looking for 2-3 VC partners.

TL;DR:
- We’ve built an AI-powered recruitment agent that automatically reaches out to candidates filtered by TechTree’s talent score and other key metrics.

- Tech highlights:
+ it works on top of our proprietary data platform connecting data from 10+ sources, totalling over 100 data points per person
+ it takes into account both structurred data as well as text description of people experience, companies they worked at and more

- Performance highlights:
+ 80% of candidates we share are invited for a first interview.
+ 75% of those candidates advance to the next round.
+ 20% receive employment offers.        

What to Expect in This Edition:

• AI Agent - overview
• Product demo + free access
• Roadmap & partnership opportunity

Our AI Agent overview:

Our approach to an AI Agent-lead recruitment can be broken down into 2 pieces:

Proprietary data platform

To find the talent that’s matching sophisticated needs of VC and PE-backed companies we’ve connected data from multiple sources. It includes information like the entire content of LinkedIn, very granular information about companies (descriptions, funding, headcount, investors, funding rounds etc.), information about universities, seniority etc.

We’re also creating new, easily accessible high-signal metrics that can be easily presented to the user because we were able to connect many fragmented data sources. Examples of such metrics would be:

• The stage at which people worked at companies in their career
• Finding people who worked at companies backed by specific investors
• TechTree score - talent quality score taking into account multiple factors

The "TechTree" Score:

Our algorithm ranks candidates based on:
- Tenure length
- Number of promotions
- Quality of investors backing companies they’ve worked for
- Educational background
- Stage-related experience        

And many more…

AI Research Agent & Automated outreach

The way our agent works is simple from the user standpoint - it’s modeled on the interaction people have with recruiters and it does not require our clients to learn to use a new tool. The UX works in the following way:

STEP 1: Let us know who you’re looking for

• Copy and paste job descriptions
• Answer additional questions in natural language for example “ideally worked at companies similar to Datadog” or “had experience at pre-seed / seed stage” companies
• Review the criteria the agent applied based on the instruction

STEP2 (optional): Target list review

• Review the target list of people found by the agent
• Refine criteria or sort people based on similarity to the ideal candidate
• Save the final target list

STEP3: Review interested candidates

• TT agent reaches out to people
• Interested candidates are automatically shared with the client via a preferred channel (ATS, Slack, email)
• (optional) as some startups don’t have talent teams we can screen

This approach helped us to achieve quite amazing metrics:

• Over 80% of candidates shared are invited to the interview
• Over 75% of candidates who did the first interview were invited to the further stages of the process

It also leads to great customer experience - you can see some of the client feedback below.

Testimonials:

Kick.co (Backed by General Catalyst & OpenAI): “Our experience with TechTree has been incredible. They helped us hire staff-level engineers with backgrounds in Nvidia, Meta, and Box. Highly recommend.” – Conrad Wadowski, CEO & Co-Founder

ZetaLabs (Backed by Nat Friedman & Daniel Gross): “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

To get a sense of the candidates we’re engaging, check out the anonymised candidate database here.

VC Partnership and testing opportunity:

We’re currently looking for 2-3 VC design partnerships with whom we could build AI-Agent lead portfolio talent support. If you’re thinking about leveraging AI & Data to help your portfolio at scale we’d be super interested in a chat. We have listed some ideas below but we’re keen to listen to your thoughts.

Our ideas:

1. Integrate ATSs of all your portfolio to automatically rank candidates who are applying to their jobs as well as understand the kind of candidates that progress through the system
2. Making it easy for your portfolio companies to instantly receive target candidate lists for proactive outreach
3. Make it possible for your companies to lead the outreach to high-value candidates directly from founder / C-level executives’ accounts to increase conversion
4. Make it easy to find people who are matching job openings in your portfolio and who are already in your network.

If you have similar ideas or you’re already working on something like that it would be great to discuss in more depth → please fill out this short form and pick a slot that works for you for the call [60 minutes].

TechTree update - September platform walkthrough - Watch Video

If you want free access to test the agent, please fill in this short form & schedule a 15-minute onboarding call.

How this works:

• Share a live job spec
• Our agent will generate a shortlist of candidates
• You’ll be shared access

If your portfolio is hiring:

Here’s a short overview of our offering - if they mention they got the contact to us from you or sign up via this form - we’ll help them to hire the 1st person on a 5% success fee basis.

Recruitment Support for Portfolio Companies:

Our AI-led recruitment approach has consistently delivered results for companies backed by Advent, EQT, Index, YC, and OpenAI. Here’s our track record:

• 80% of candidates we share are invited for a first interview.
• 75% of those candidates advance to the next stage.
• 20% receive job offers.

And our solution is:

• 50% lower cost than agencies
• 2-4x more accurate

Example of placements:

• Founding Engineer for Index backed AI Agent for IP protection
• Founding ML Engineer (no.2 engineering hire) for Earlybird backed AI Agent for building POC apps using developer documentation
• Chief of Staff for Earlybird backed AI Agent for building POC apps using developer documentation
• Founding ML Engineer for Episode 1 & Playfair backed product using AI to detect & fight disinformation
• Full Stack Engineer for top VC firm in Europe
• 4 Senior Backend C# Engineers hired in 1 month for a fintech scale-up [lending]
• Lead Data Engineer for Advent-backed fintech (Payments)

Pricing Models:

Success-Fee Model:

• Engagement only at 7.5% of gross annual salary
• Engagement and screening at 15% of gross annual salary

Hiring from the 'Hot List':

• $5,000 for individual contributors.
• $10,000 for Head/VP/C-level roles.

Our Hot List is a curated list of technical candidates actively seeking new roles, many of whom have experience as founders or early-stage employees at VC-backed companies. You can access the full list by clicking here.

If this could be useful to portfolios, please book a meeting here or below is a sharable Notion page:

Notion Page

Thank you, TechTree Team