Vibe-coded content & design aside, you haven't implemented all their features, you've got some basic security holes and missing networking, and your pricing is the same as OpenRouter despite your company being 5 months old. It might not be as easy as it seems.
For me the big reason I use OpenRouter rather than the providers directly is the ability to cap spending. With OpenRouter I can top up by $50, change models on a whim and if some agent loop goes out of control and generates a ton of tokens, the most I can be out is $50, while using the providers directly requires me to manage accounts there and not all support top up based spending.
Not only that, the policy is so broad you effectively give up EVERYTHING. They're within their rights to just straight up post your raw conversation history to a public dataset on github/huggingface/modelscope or even host an atproto feed giving the world real-time access to your conversations.
Not saying they are or will, but their privacy policy is so permissive.
My feelings are kind of split about it. On one hand, yes, I don't like it when a company essentially go through my history, train with it, and try to earn more profits for themselves based on what I've "unwillingly contributed". But then on the other hand, I also know that DeepSeek will release the weights they train (and publish new architecture upgrades) so me and others can download them and run them ourselves, as well as they'll earn more profits based on it. Then it's no longer so black and white for me, and I kind of feel like I'm not so bothered by it as when Anthropic and others do it.
I'd still prefer it wasn't like that, but I guess it's a compromise ultimately, at least I'll be able to run it myself.
I've had the same thoughts, and I think you articulated them pretty well; maybe better than I could have. I.e., for me it's something like: I'm much more willing to share if I know the party I share with will share back, in turn.
I know it's more complicated than that, with economics and privacy factors involved. But if I operate on the assumption that real privacy is real hard I'd rather just be guarded and careful with my prompts and whatever output I give to the LLM and expect that it will be training on that, rather than spill all my darkest secrets to some other LLM provider that pinkie-promises privacy only to leak it publicly later, anyway.
