Startup Ideas AI

Modelslab is a developer-first API platform that simplifies building, deploying, and scaling AI and machine learning models. It offers a range of APIs for tasks like image editing, text to image, text to video, text to speech, voice cloning, LLM API, text to 3D, and image to 3D. The platform aims to provide seamless integrations, efficient workflows, and scalable solutions for ML projects, allowing developers to build next-generation AI products without worrying about GPUs.

SaaSpec helps you create your own Pay-as-you-go software by tracking your users' individual token costs for LLM APIs. It allows you to export CSVs of user data from that month and convert them into Stripe invoices. Currently supports only OpenAI models.

AiHubMix is an LLM API router and OpenAI API proxy that aggregates various models such as OpenAI, Google Gemini, DeepSeek, Llama, 阿里Qwen, Claude, 月之暗面, and cohere. It provides a unified OpenAI API standard for calling different models, supports the latest models, and offers unlimited concurrency. It aims to simplify AI model integration and make development more intelligent and efficient.

TTAPI is a platform that provides affordable Midjourney API integration, along with other AI APIs like Luma, LLM, and Suno. It offers services for generating images from text, creating videos, and more. TTAPI aims to provide reliable and cost-effective AI solutions for developers and teams.

dimBase is a platform designed to streamline the deployment of custom LLM APIs. It aims to eliminate bottlenecks between TPMs and ML teams, enabling users to deploy APIs in minutes instead of weeks. It offers seamless integration with popular tools and allows for instant model comparison.

Backmesh is an open-source Backend as a Service (BaaS) designed for AI applications. It provides a secure way to call LLM APIs from your app without exposing private keys or requiring LLM SDKs. Backmesh offers features like JWT authentication, rate limits per user, and API resource access control to ensure secure and efficient LLM API usage. It also includes LLM user analytics to help identify usage patterns, reduce costs, and improve user satisfaction.