7 karma · joined May 20, 2019
The knowledge of the model grows next to it not the model itself and no it is not the same as cache
No fine-tuning needed
It gives the exact same right answer every time, costs zero extra tokens, and saves lots of energy
We’re building Wetime AI, a travel-specific AI architecture designed to offer personalized recommendations at scale—without the pricing and opacity of generic LLM APIs.
The cost of using commercial LLMs (like OpenAI’s) for real-world applications—especially in verticals like travel—is a major barrier. Most APIs are priced per token, which becomes extremely expensive and hard to predict at scale.
So, we ran a comparative analysis of three approaches:
OpenAI API (gpt-4o-mini)
Self-hosted open-source (LLaMA 3.1 1B on AWS)
Our own specialized travel AI (Wetime)
Result: At 1 million requests/month:
OpenAI: ~$2,830
Wetime: ~$230–$410 → That’s a 10x–100x cost efficiency gain depending on complexity.
We’ve just received a grant from the Camino Network Foundation (a blockchain built for travel) to accelerate this infrastructure—making our architecture not just efficient, but also transparent and verifiable through on-chain data provenance.
We're going live with our Camino validator node this Friday and launching a Chrome extension for itinerary generation next. Curious to hear your thoughts—especially if you're building in vertical AI, travel tech, or decentralized data infra. AMA.
—Sietse CEO, Wetime AI
Would you be willing to follow our page and upvote it when it goes live? It would mean a lot to us! Here’s the link: https://www.producthunt.com/products/wetime-ai
In return, I’m happy to do the same for your launch or project. Let me know if you’re interested!
Thanks so much for your support!