That’s a wrap for ALIS 2026! 🏨🔥
Huge thanks to the ALIS Tech Challenge for having our CEO @jonathanlei98 on stage. We had an amazing week meeting with hospitality leaders who are ready to move past the "staffing grind" and embrace the science of Voice AI.
The mission for the rest of 2026 is clear: end the communication bottlenecks and help operators capture every dollar of revenue.
Follow along for more insights: https://t.co/omcGbnYS4C
#QConcierge #hospitality #hotel #travel
The most expensive sound in a hotel? A ringing phone that nobody answers. 📞💸
20-30% of guest calls go unanswered during peak hours. Q Concierge answers on ring one. Every. Single. Time.
Book now: https://t.co/jdReRExbTv
#QConcierge#hospitalityindustry#hotelowner#travel
Hot take: Stop hiring "more staff" to fix a broken comms system. Adding bodies to a busy desk is like adding buckets to a leaky boat. Efficiency is the new luxury 🏨📉
Book your demo today at https://t.co/jdReRExJJ3
#QConcierge#hospitalityindustry#hotelindustry#travel
@atShruti Agreed! Half of the people talking to our hotel voice ai agents didn't realize it's AI. Really increased our conversion rate and consumer trust.
Agreed, we build voice ai for the hospitality industry, the problems are simpler (booking rooms, refund, event planning), but for things we can’t handle, we design our agents to have smooth human handoff that works with the business to save both customer & management time. Voice Ai still have a long way to go but great agent design according to business needs are crucial.
We’ve been the secret weapon for brands like Small Luxury Hotels of the World for years. Now, it’s time to get loud.
Q Concierge is officially on X. 🧵👇
Today, I'm excited to launch Arrakis: an open-source and self-hostable sandboxing service designed to let AI Agents execute code and operate a GUI securely.
GitHub: https://t.co/BXuzxWEJxE
Watch Claude code a live Google Docs clone using Arrakis. Having a VM sets it free -🧵
vapi 2.0 is live on product hunt. we’ve been heads-down for a year rebuilding the core of what voice infra should look like.
what most people don’t see: barge-ins triggering model resets, partial transcripts misaligning with tool responses, LLM drift breaking deterministic flows.
what we shipped:
- 100+ model integrations (transcription, LLM, TTS)
- conversation workflows and knowledge bases
- vapi voices that sound human
- rock-solid enterprise infrastructure to scale to millions of calls
- real-time observability with Langfuse integration
- a metric ton of voice agent configuration options
proud of what the team pulled off.
link - https://t.co/4pBDblgyKQ
ps: team vapi has hidden easter eggs on their product hunt page 👀
find them and dm us what you spot to win a slice of the $10,000 prize pool!