Jinko GTM brain
Jinko supplies travel search, booking and trip management infrastructure to developers building AI agents.
category
Travel booking APIs for AI agentsmarket profile
- text: Agent builders need live inventory, booking and post-booking operations rather than static travel recommendations.
- text: The market includes developer-first travel APIs and agent-native booking infrastructure.
personas
- title: AI agent founder or product leadpains:
- A travel assistant cannot reliably close bookings using stale model knowledge.
- Connecting multiple travel providers and payment flows delays launch and monetization.
- title: Developer building a travel integrationpains:
- Browser-based searches are slow and vulnerable to anti-bot blocks.
- Fare rules, live prices and post-booking changes require specialized integrations.
- title: Travel seller or partnership leadpains:
- Needs scalable booking volume, negotiated economics and support while adding an agent channel.
icp
- text: Early-stage software teams building personal AI assistants or travel products with API integration capability.
- text: Existing travel sellers and enterprises expecting meaningful booking volume and requiring customized commercial terms.
message pillars
- text: One integration covers the travel transaction lifecycle.
- text: Give agents access to current airline inventory.
- text: Let travelers approve agent payments.
objections
- objection: Integrating travel requires a large deposit and setup fees.response: The published self-serve plan has no upfront fees; check usage fees and eligibility before deployment.
- objection: Agents may book the wrong fare or use payment without approval.response: Demonstrate fare-rule review and traveler-approved checkout, including failure and refund workflows.
competitors
- name: Duffelwhy: Flight and stays API with search and booking for travel products and agents.
- name: LetsFGwhy: Agent travel search and booking alternative.
- name: Expedia Group Rapid APIwhy: Travel inventory and booking API competing for travel application integrations.
keywords
- travel booking API for AI agents
- flight search API
- hotel booking API
- MCP travel server
- travel agent payment API
- travel booking infrastructure
voice
- Developer-oriented
- Energetic
- Outcome-focused
signals
- text: A software team is launching an AI travel concierge and needs live flight search and booking.
- text: An established travel seller plans high booking volume through an agent interface.
stack
- MCP
- API
- CLI
- Stripe Link
pricing
model: usage
starting price: First 20 flight bookings free; then 1% of booking value. Excess search fees can apply.
motion
hybridchannels
- SEO
- developer documentation
- Discord
- YC launch directory
confidence
highFounders
- name: Kevin Gauthiertitle: Founder/Co-CEOrole: CEObio: Co-CEO at Jinko. Previously co-founder at Mowgli, grew to 450K users in 6 months with zero marketing spend before exit to Hopper. At Hopper, led European expansion from 0 to $70M GMV and $9M revenue in under 2 years. Previously co-founder at Winglet, an NDC aggregator for travel sellers.
- name: Sebastien Texiertitle: Founder/Co-CEOrole: CEObio: Co-CEO at Jinko (YC F26). Previously GM Europe at Hopper, scaling from 0 to $70M GMV and $9M revenue. Founded Mowgli, a Gen Z travel app that hit 450K users in 6 months with zero marketing spend and ranked #1 in French App Store before being acquired by Hopper. Earlier founded Winglet (raised $1.2M+, awarded most innovative travel company by IATA). 15+ years in travel including leadership roles at Air France/KLM managing $500M+ partnerships.
- name: Shuai ZHANGtitle: Founder/CTOrole: CTObio: Co-founder & CTO at Jinko. Previously CTO at Mowgli, where I built a travel app in 6 months that gained significant user traction before its acquisition by Hopper. At Hopper, built the EMEA engineering team. Previously CTO at Winglet, an NDC aggregator for travel sellers. École Polytechnique alumnus with expertise in AI, data infrastructure, and travel technology. Participated in the AI Mathematical Olympiad (AIMO), fine-tuning a model for mathematical reasoning.