Try for free
Tea Biz
Tea Biz

Ep 234 | China Sets $216B Tea Goal | Bangladesh-India Reset | Dementia and Tea

20 February 2026 28:53 Dan Bolton

Listen to episode

About this episode

China Sets $216 Billion Tea Industry Chain Target for 2030 | India–Bangladesh Political Reset Signals Smoother Trade, Auctions and Transport for Tea | Dementia Risk Study Coverage Strengthens Tea’s Moderate-Consumption Demand Narrative


NEWSMAKER – Sein Star Kilel, CEO Co-Founder, FarmerPower.ai


PLUS | FarmerPower.ai | Seventy-eight percent of the 720,000 Kenyan smallholders who rely on tea for their livelihoods cultivate tea on plots of a half-acre or less. The sector is crucial to the economy, providing jobs for millions and contributing significantly to the country's GDP. Yet most farmers operate in the dark, receiving little to no real-time feedback on leaf quality, pricing outcomes, or how their harvest performs at factory intake. Today, we speak with Sein Star Kilel, co-founder of FarmerPower.ai, a Nairobi-based startup developing computer vision and AI tools to improve green leaf quality at the point of intake. By combining barcode traceability, conveyor-based sorting hardware, and a proprietary AI model trained to classify primary versus secondary leaf, FarmerPower.ai aims to reduce downgrading, increase premium yield, and provide real-time feedback to farmers.

If successful, the platform could reshape how quality is measured, rewarded, and monetized in Kenyan tea.| Podlink signup: https://pod.link/1549975153



Support this podcast at — https://redcircle.com/tea-biz/donations

Advertising Inquiries: https://redcircle.com/brands

Privacy & Opt-Out: https://redcircle.com/privacy

More AI podcast episodes

Browse all →

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 Tea Biz. All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support