If your side project uses a text model, web search and image generation, you can end up funding three different accounts before you know whether the idea is worth pursuing. That's the problem I'm working on with DreamTune Labs. The goal is one balance across supported AI services, with a shared view of usage and costs. The scope also includes GPU compute, with SDK, CLI and MCP interfaces for connecting applications and agents. The part I want feedback on is whether that convenience is valuable enough to change how you build. Going directly to each provider gives you fewer dependencies; using a shared service makes billing simpler but adds another company you have to trust. It's early. The SDK currently installs from a source checkout, so onboarding still has friction. The unused-credit marketplace mentioned on the site is planned. Pricing currently includes a 10% fee when adding credit, plus each service's usage costs. I'd love feedback from people building small AI products: which services would you want together first, and what would make the first five minutes useful enough for you to come back? I'm the builder. Website: https://dreamtunelabs.com Developer docs: https://dreamtunelabs.com/docs/   submitted by   /u/legendpizzasenpai [link]   [comments]