Discover, Ask Buzo, event detail, planning, profile, auth, and Pro surfaces are already live.
The company behind Buzo.
Buzo is building a verified nightlife decision layer: users get real events worth going to tonight, while venues and promoters gain a future channel to reach high-intent demand.
Dense, social, high-intent, time-sensitive, and commercially useful for validation.
Free discovery builds trust; Pro, affiliate, and venue/promoter monetization compound after demand proof.
Product information
A working product surface, not only a pitch.
Buzo turns fragmented event signals into a consumer decision workflow. The current product is focused on Singapore event discovery and recommendation quality before broader social and B2B expansion.
Singapore event discovery with category, image, venue, time, price, map, and source context.
AI recommendations from user intent such as area, timing, budget, group mood, and music taste.
Saved events, profile state, taste preferences, auth, and subscription surfaces for repeat use.
Crawler-backed event collection and normalization feeding the event catalog.
Business model
Staged monetization, starting with trust.
Buzo’s business model is sequenced. Consumer usage creates trust and intent data first. Monetization expands as decision actions and repeat usage are validated.
Free discovery Consumer discovery stays free to build trust, usage, and high-intent behavior data.
Buzo Pro SGD 6.99/month validation path for smarter recommendations, deeper personalization, multi-city use, and premium planning.
Affiliate and take-rate Future ticketing, booking, and reservation moments can monetize high-intent outbound actions.
Venue and promoter tools Later B2B revenue through transparent paid visibility, campaign tools, and qualified demand insights.
Market and validation
Singapore first. Prove behavior before scale.
The near-term validation goal is not vanity traffic. It is whether users can choose a credible night out faster than Google, Instagram, Telegram, or friends.
100 Initial Singapore POC users.
150+ Fresh events per week target.
25%+ Decision-action target.
25%+ Weekend return target.
Fresh Singapore events, stale/duplicate control, source coverage, and operational QA.
Users should get a useful recommendation within 60 seconds of onboarding.
Track event detail taps, saves, shares, “going”, and outbound source or ticket clicks.
Measure whether users return the next weekend and ask Buzo again.
Check whether Buzo reduced reliance on Google, Instagram, Telegram, or friends for that night.
Validate Buzo Pro before treating subscription revenue as proven.
Technology
Cloud-backed product infrastructure.
Buzo is split across frontend, backend, ingestion, data, payments, and acquisition surfaces so the system can evolve beyond a hackathon prototype.
Astro landing page, React/Vite product app, and Vercel deployment.
Cloudflare Worker backend with Hono/tRPC routes for product, auth, AI, weather, media, and payments.
Supabase for auth/profile/taste and Turso for high-churn event listings.
OpenAI recommendation layer plus OpenClaw crawlers for event collection and normalization.
Stripe checkout, portal, webhook, and subscription-tier handling.
Public waitlist and demo surfaces for early user acquisition.
Founder team
Clear owner roles: CEO and CTO.
One founder brings nightlife operator and partnership depth. One founder brings AI product, architecture, payments, and unit-economics execution.
- Singapore-based team building from a live product and public acquisition surface.
- Founder-market fit comes from events-market access plus AI systems execution.
- Current focus is product validation, source quality, repeat use, and monetization proof.
Co-Founder & CEO
Clarence Chan
Market, growth, partnerships
Live events and nightlife operator leading growth, venue partnerships, monetization, and demand-side strategy.
Nightlife operatorVenue networkDemand strategy
Co-Founder & CTO
Sayyid Khan
Product, AI, architecture
Full-stack AI engineer leading product architecture, agentic AI execution, scalability, and unit-economics thinking.
Agentic AIFull-stack systemsScalability
Product, model, and infrastructure are already in motion.
Open the consumer app, join the waitlist, or inspect the public repo organization behind the Buzo system.