
Superpipe
Build, evaluate and optimize LLM pipelines
Superpipe launched on March 27, 2024 with 106 votes, #674 of 4,270 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
What it does
Superpipe helps you build, evaluate, and optimize LLM-powered classification and extraction pipelines across speed, cost, and accuracy
Does a similar job
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Early-stage Yahoo Pipes spiritual successor2017 · pipes.digital · ▲280Get and manipulate data with a visual programming interface.
Pipelex – Declarative language for repeatable AI workflowsOct 2025 · github.com · ▲122We’re Robin, Louis, and Thomas. Pipelex is a DSL and a Python runtime for repeatable AI workflows. Think Dockerfile/SQL for multi-step LLM pipelines: you declare steps and interfaces; any model/provider can fill them. Why this instead of yet another workflow builder? - Declarative, not glue code: you state what to do; the runtime figures out how. - Agent-first: each step carries natural-language context (purpose, inputs/outputs with meaning) so LLMs can follow, audit, and optimize. Our MCP server enables agents to run pipelines but also to build new pipelines on demand. - Open…

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