📊 Case Study: DevTalent + TechTree
Global fintech decacorn needed 200 engineers fast.
⚡5.2x more hires than 4 other agencies combined.
#Recruitment#AI#TechHiring
https://t.co/n8UUl1XBuK
AI found the talent. Recruiters built the trust. Together, they created an unstoppable flywheel:
+ AI shortlists →
+ Recruiter engagement →
+ Feedback into AI → sharper results.
This is what human + AI recruiting really looks like.
📊 10× more qualified candidates. Zero extra recruiter headcount.
TechTree’s AI mapped 3,000+ engineers in days — ranking them by skills, salary fit, and engagement likelihood. Recruiters didn’t waste time. They started with precision shortlists.
https://t.co/MueZ1TBEzH
It’s time to escape the Resume Review Black Hole:
🔹 Automate screening.
🔹 Standardise scoring.
🔹 Mask bias triggers.
The result? Faster shortlists. Fairer hiring. More recruiter time for conversations.
👉 How much time does your team lose?
Recruiters spend 22% of their week reviewing CVs.
That’s a full day lost to skimming, scanning, and filtering.
Bias creeps in. Great candidates get overlooked. Everyone waits.
https://t.co/qlI93iraSO
When a global fintech launched an AI R&D hub, traditional recruitment models couldn’t deliver.
Here’s why the old playbook broke — and what came next →
- Target: 200 hires in 6 months
- Actual: 22 hires from 4 agencies
- Time-to-hire benchmark: 45–60 days
🚨 200 engineers. 6 months. 4 agencies. 22 hires.
That’s all a fintech decacorn could show after months of traditional recruiting. With industry time-to-hire sitting at 45–60 days per role, the math simply didn’t work.
The old model broke.
https://t.co/i0dXKctwAy
📊 Case Study: DevTalent + TechTree
Global fintech decacorn needed 200 engineers fast.
⚡5.2x more hires than 4 other agencies combined.
#Recruitment#AI#TechHiring
https://t.co/n8UUl1XBuK
Recruiters aren’t short on effort.
They’re short on time.
👉 80% goes to sourcing, screening & scheduling.
👉 Only 20% goes to candidates.
What if we flipped it?
80% candidate time.
20% admin.
That’s the future of recruiting. 🚀
#Recruitment#FutureOfWork
Recruiters spend 80% of their time on admin + only 20% with candidates.
The wrong way around.
Automation can flip the model → 80% candidate time.
#Recruiting#TalentAcquisition
https://t.co/O6HbiAIGV4
@mzu3bi Hey @mzu3bi! @TechTreeHQ got your back🦾
We utilize our data to power an AI agent that automatically reaches out to candidates, filtered by TechTree talent score and other metrics. Would you like to try it out?
(ps: we're also a pre-seed tech startup 😉)
@benln@tryfirstbase@doolaHQ@liquidai 📢Spot on! @TechTreeHQ ’s AI agent can help by finding core team members who fit your detailed criteria without any human involvement.
-92% of shortlisted candidates were a perfect fit
-88% of candidates invited to interview
-77% of process took less than 3 week
DM for more info!
@TTlabs_vc Totally agree! Building strong relationships in venture capital involves more than just connections—it's about offering genuine value. Analyze your contacts, delve into their backgrounds, and find ways to support and add value to their endeavors.🙌🤩
Foundational to success in venture capital is understanding your network and offering value to your contacts. By identifying key individuals and consistently providing support, you'll build trust and credibility within the industry.💸🤝
We’ve now invested in 100+ founders, had 100+ interns and gotten 100+ LPs
Which means we’ve looked at 12k+ companies, reviewed 14k+ intern applicants and pitched 1k+ LPs
It’s led to a skill of screening and pitching
Investing is truly about getting to know people
@OfficialBenFN Hey @OfficialBenFN ! We can help you out with our newest AI-matchmaking tool. DM us to get matched with greatest candidates, it's totally FREE! 😎📷🌿
@victormustar Hey @victormustar ! We can help you out with our newest AI-matchmaking tool. DM us to get matched with greatest candidates, it's totally FREE! 😎🌿