Alternatives
Products that do what Pipedream now has 1800 integrated APIs does
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2024 · pipedream.com
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Hey HN! Pipedream is an integration and compute platform purpose-built for developers building workflows and connecting cloud services. You can author workflows without writing any code: Pipedream supports over 700 integrated applications (GitHub, Slack, etc) [1] and all connectors are open source [2]. In addition, you can write any Node.js, Python, Go, or Bash code within workflows, extending the pre-built integrations with your own custom logic. Since we launched Pipedream on HN [3], over 300k developers have used the product. Pipedream developers tell us consistently that they love the…
2022 · pipedream.com
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We are excited to launch our updated X (Twitter) API integration! Our mission at Pipedream is to enable developers and technical teams to quickly build, test, and deploy serverless workflows and automations. Combining the speed of no-code with the power and flexibility of code level control. To deliver on this, we are continuously expanding on the nearly 2,000 apps we support as well as the 5,000+ pre-built triggers & actions included for those apps. Our X (Twitter) app allows anyone with a paid Twitter Developer account to easily build workflows connecting Twitter to all of their other SaaS…
2024 · pipedream.com
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2019 · pipedream.com
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I've been obsessed for the past ~year with the possibilities of talking to LLMs. I built a bunch of one-off prototypes, shared code on X, started a Meetup group in SF, and co-hosted a big hackathon. It turns out that there are a few low-level problems that everybody building conversational/real-time AI needs to solve on the way to building/shipping something that works well: low-latency media transport, echo cancellation, voice activity detection, phrase endpointing, pipelining data between models/services, handling voice interruptions, swapping out different…
2024 · github.com
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We’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…
Oct 2025 · github.com
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Hey HN! localtunnel's server needs random ports per client. That doesn't work on Fly.io or behind strict firewalls. We rewrote it in TypeScript and added multiplexing over a single port. Open-source and 100% self-hostable. Public instance at *.pipenet.dev if you don't want to self-host. Built at Glama for our MCP Inspector, but it's a generic tunnel with no ties to our infra. https://github.com/punkpeye/pipenet
Jan 2026 · pipenet.dev
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