🚀 Big day today — we just wrapped up our roadmap call for Conversations AI at HighLevel, and the numbers speak for themselves:
In March alone -
📅 35K+ appointments booked via AI agents
💬 2.3M messages handled
🧠 1B+ LLM tokens processed
🤖 70K+ total AI agents created by our customers
And yet — we're still only responding to ~2% of all inbound messages on HighLevel. Our goal? 80%.
We’re just getting started.
(2/n)
- Enhanced scalability: We've scaled to over 30 billion documents without any manual intervention, handling workloads with spikes of up to 250,000 RPS and five million real-time queries.
Link to the full blog -
https://t.co/CttlQVKnJS
(1/n) At HighLevel, Firestore serves as our primary application database, and here's what we love about it:
- Increased developer productivity: Firestore's simplicity has boosted our developer productivity by 55%, allowing us to focus on product innovation.
- Observability, Alerting, Load Balancers, Istio Mesh, Networking, VPN, etc
If you know someone who has experience with a similar scale, please suggest!
https://t.co/xCLXxY4k5F
Hiring a Senior Engineering Manager for Platform team, that manages -
- 200TB+ of application data across Firestore, Mongo, ElasticSearch, Redis, ClickHouse
- 4PB+ of object storage in GCS
- 120Bn events monthly PubSub queues
- Rate limiting, AuthZ, and AuthN for 60Bn API hits/month in Node.js
- CI system for 100+ deployments daily for a 300 people engineering team
- 10+ Clusters in Kubernetes with 15,000+ cores of CPU