TechTree

📊 Case Study: DevTalent + TechTree Global fintech decacorn needed 200 engineers fast. ⚡5.2x more hires than 4 other agencies combined. #Recruitment #AI #TechHiring techtree.dev/case-study-dev…

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.

🤝 167 introductions. 151 interviews. 90%+ conversion. techtree.dev/blog/20-recrui…

📊 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. techtree.dev/blog/how-ai-ta…

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. techtree.dev/blog/the-resum…

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. techtree.dev/blog/why-tradi…

Together, we delivered: - 3,000+ engineers mapped - 201 candidates submitted - 78 offers → 52 hires - 31 onboarded in 7 weeks (16% of goal!)

📊 Case Study: DevTalent + TechTree Global fintech decacorn needed 200 engineers fast. ⚡5.2x more hires than 4 other agencies combined. #Recruitment #AI #TechHiring techtree.dev/case-study-dev…

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 techtree.dev/blog/the-80/20…

@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 😉)

اذا كنت شغوف بالإطلاع على نماذج اعمال مبتكرة وشاطر بتحليل الارقام؟ وتطمح لـ (مهنة ) في هذا المجال وليس (وظيفة) أتوقع هذي الفرصة بتهمك

@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!

Here's a list of 22 early-stage startups, hiring for REMOTE roles, with less than 50 employees, all with significant traction, and backed by top-tier investors like Sequoia, Benchmark, Khosla, Index. 1) Firstbase @tryfirstbase 2) Doola @doolaHQ 3) Liquid AI @liquidai 4) SpruceID @SpruceID 5) Fathom @FathomDotVideo 6) Nourish @nourish 7) Roboflow @roboflow 8) Betterstack @betterstackhq 9) Vizcom @vizcom_ai 10) Magic @magicailabs 11) Warp @warpdotdev 12) Softr @softr_io 13) Finley @finley_cms 14) Spellbook @spellbooklegal 15) Draftwise @draftwise 16) Railway @railway 17) Stable @usestable 18) Contra @contra 19) Fly io @flydotio 20) Reality Defender @DetectDeepfakes 21) Alloy Integrations @AlloyAutomation 22) Replicate @replicate more @nextplayso

**drum roll effect** TechTree Digest is finally out! 🥳🆙 Edition 1:Networking & Data Insights for Investors 👇👇Read now! 👇👇 techtreedev.substack.com/p/techtree-dig…

@nic_detommaso we LOVE TechTree and CRM's like HubSpot. 😍🙌 There's also Hunter to domain search :)

What are your most used platforms professionally? Some of mine: - Superhuman - Slack - Airtable - Notion - Pitchbook - Crunchbase - Zoom - X / LinkedIn Doing some research so please comment / RT for reach! ⚡️

@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.🙌🤩

4. Networking and Collaboration: Building a strong network is crucial for startups. Your startup can benefit from support in the form of networking events, industry conferences, and platforms that connect you with potential partners, customers, and investors.

The startup journey can be daunting, and so to easily navigate the various phases of your startup journey, adequate support is necessary. There are several areas where startups can seek support:

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.💸🤝

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@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! 😎🌿

👨‍🚀 I'm looking for a front-end developer to join the HF Hub team and work directly with me on the HF Hub full-time! We're going to build some crazy stuff 🔨 if you're interested or know anyone don't hesitate to contact me 💌