SuperAPI AI Directory2,745 results · Page 59 of 77
Through the integrated model of "visual operations + low-code logic orchestration + AI assistance", it lowers the development threshold and improves development efficiency, while also balancing development flexibility and system stability, providing developers and enterprises with full-process development support from "rapid prototype building" to "full-featured system implementation".
AI-powered no-code platform for growth, leveraging human wisdom and AI.
Generate realistic, schema-conformant JSON test data (single documents or relational batches) from reusable templates via the JsonFabrica API.
Access JSR, the JavaScript Registry.
Justfile integration: run CLI or script commands with parameters and environment variable support.
AI-first headless CMS for solopreneurs and indie developers, focusing on simplicity and speed.
JustCode is an AI-powered VSCode tool for automatic JavaScript documentation generation.
Performance testing with Grafana k6.
AI-powered web scraper for automated data extraction and transformation without code.
Kanhasoft is a leading Amazon MWS API development company in India and USA, helping businesses streamline their marketplace operations with custom solutions. From CRM and ERP software development to marketplace seller applications, as well as web and mobile app development, Kanhasoft empowers enterp
Decentralized storage platform with programmable storage for adaptive data management using AI and Blockchain.
AI-powered Mac desktop widget app that turns web pages, feeds, GitHub releases, Reddit threads, Product Hunt launches, status pages, and tools into live widgets.
Free guided planner that turns an app idea into a focused MVP scope, risk review, seven-step build plan, and a starter prompt for Cursor, Claude Code, or Codex.
Kimi CLI
Graph-native code repository that shows what a code change might affect before you make it.
Kinso: Personalized shopping using customer reviews, no code required.
Utility APIs: email validation, DNS lookup, WHOIS, SSL certificate inspection, IBAN validation, business day calculation, hashing and GPU prices.
Platform for AI developers to create APIs and app developers to integrate AI.
AI code completion
Design-fidelity checks: compare a Figma frame or design screenshot with the rendered UI and get structured discrepancies with CSS properties and severity.
🎖️ 📇 ☁️ - Async execution for agent tool calls: payload schema checks, retries and circuit breakers, idempotency keys, approval gates, replay and signed-webhook results.
Offline RAG for Claude Code with hybrid BM25 and semantic search, cross-encoder reranking, Markdown-aware chunking and query expansion.
Kodwai is a scoring tool for evaluating a developer's level of collaboration with AI coding tools such as Claude Code and Cursor. It measures collaboration effectiveness through real programming challenges: you solve problems in your own terminal, and its command-line tool (CLI) captures the session and generates a score based on it. The materials only mention the scoring mechanism and the parts of the usage process involving the terminal and the CLI capturing the session, and do not provide specific scoring dimensions, level classifications, supported platforms, pricing, registration process, or uses of the scores; no related content is currently provided. Its official information is published on the YouTube channel @kodwai.
Kodwai calls itself the "LeetCode of the AI era" and is a coding assessment platform for the age of AI agents. It argues that traditional LeetCode-style algorithm problems can no longer prove a developer's ability, because agents can solve these problems in seconds, and grinding problems only demonstrates memorization ability. Kodwai attempts instead to assess a new way of working: having developers point agents at real problems, identify and correct agents when they "confidently make mistakes," and check the results they actually deliver. According to its description, this ability is what determines a developer's level, and it is what Kodwai scores, under conditions involving real problems and using your own agent. At present, the materials do not provide details such as the specific problem format, scoring mechanism, which agents are supported, whether it is paid, the platform entry point, or usage steps.
Accessible KoliBri web component samples, specs, docs and scenarios.
AI-powered CLI/Terminal command manager for developers and system administrators.
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AI-powered serverless low-code platform for backend tasks and real-time apps.
Interactive platform for hands-on coding and tech learning with labs and AI assistance.
Code property graph for C, Python and TypeScript: callers/callees, data and taint flow with source-to-sink witnesses, points-to and guard/sink structure.
AI platform for product teams to analyze feedback and prioritize features.
All-in-one AI platform for chat, video, photo, audio, and code creation.
Query Langfuse traces and observations, debug exceptions, analyze sessions, scores and datasets, and manage prompts.
Full-stack platform for debugging, evaluating, and improving AI applications.
AI-driven test optimization that predicts which tests to run.
LaunchBert is a free product launch checklist tool for indie developers and small teams, suitable for SaaS, mobile apps, AI tools, browser extensions, open source projects, and developer tools. The checklist covers steps from "the product works" to the first month after launch, and each item explains why it matters and when it can be skipped. Users can choose their launch type, and the checklist automatically trims itself, filtering out items that do not apply. Checked progress is stored only in the current browser, with no account or email required, and progress can be moved between devices via a share link. The tool also provides standalone checklists for websites, apps, SaaS, and more as supplements.