Go-to-Market & Launch
12-week launch plan, target segments, content strategy, and success metrics.
Target Segment
Affluent Frequent Travelers Who Optimize Points
12-Week Launch Plan
Build + Seed
- Complete MVP (flights + hotels + preferences + loyalty + cards)
- Create OpenClaw skill (SKILL.md)
- Set up Duffel test environment
- Set up Stripe test environment
- Seed credit card reward data (top 10 US + India travel cards)
- Build waitlist landing page
- Register domain + social handles
- Recruit 20 beta testers from personal network + points communities
Private Beta
- Expand to 100 beta users from:
- Indian travel hacker communities (TechnoFino, CardExpert.in, CRED)
- US points communities (r/awardtravel, FlyerTalk, TPG comments)
- Twitter/X points/miles accounts
- Track: conversations/day, bookings/week, preference accuracy, hallucination rate
- Fix top 10 user-reported issues
- Add proactive price drop alerts (if time permits)
- Document 10 "optimization win" stories for launch content
- Switch Duffel to production environment
- Get Stripe production approval
Public Launch
- Product Hunt launch
- Twitter/X announcement thread with demo video
- Partner with 3-5 micro-influencers in travel hacking niche
- Open waitlist to public
- Launch referral program (invite friends, skip waitlist)
- Weekly "points hack" content on social
Content Strategy
Demo Videos
60-second short-form: someone texting the bot → personalized search → optimized booking with card recommendation → confirmation. Shows the magic.
Social Proof
"I saved $X / X miles" stories from beta users. Real optimization wins. "Saved 40K miles on my DEL-NYC flight by using Chase points transfer."
Card Comparison Content
Which travel card is best for India-US corridor? Best cards for hotel points? Drives affiliate revenue AND organic traffic.
Weekly Points Hack
WhatsApp broadcast: "Points hack of the week." Builds community, keeps users engaged between bookings.
Distribution Channels
Points/miles community is highly active. Travel hackers, churners, deal sharers. High-intent audience.
Travel deal sharing groups (India, US). Organic, viral distribution. Bot number shared in groups.
r/awardtravel (500K+), r/churning, r/IndiaInvestments. High engagement, trust-based community.
Travel hacking creators. 3-5 micro-influencer partnerships for launch. Visual demo format works.
Tech-savvy early adopters. Good for initial signal + press coverage.
Success Metrics (Month 1 Post-Launch)
Risks & Mitigations
| Risk | Severity | Mitigation |
|---|---|---|
| Trust barrier (2% want full AI autonomy) | High | Human-in-the-loop for payments. Start with search, earn trust gradually. |
| AI hallucination (wrong prices/flights) | High | LLM never generates prices — always from live Duffel API. Separate reasoning from data. |
| Privacy concerns (card/loyalty data) | High | Tokenized payments via Stripe. Never store raw card numbers. Clear data policy. |
| Duffel dependency | Med | Build abstraction layer. Add Amadeus/Travelport as backup providers. |
| WhatsApp AI policy changes | Med | Comply with "clear business purpose" requirement. We are a booking agent, not general AI. |
| MakeMyTrip + OpenAI incumbent threat | Med | Our moat: loyalty portfolio intelligence. OTAs optimize for their marketplace, not your rewards. |
Naming Directions
| Direction | Examples | Feel |
|---|---|---|
| Human advisor | Atlas, Milo, Kira, Navi | Personal, trustworthy |
| Travel concept | Drift, Wayfare, Jetset | Evocative, premium |
| Action/utility | Flywise, TripMind, BookPilot | Functional, clear |
| Abstract | Volta, Aero, Zariel | Unique, brandable |