Fleak AI Workflows
Build serverless APIs in minutes
Fleak AI Workflows launched on August 20, 2024 with 481 votes, #67 of 5,471 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Fleak AI Workflows is a serverless platform that enables data teams to build and deploy APIs for AI workflows without managing infrastructure. It connects to major cloud data warehouses and vector databases, allowing users to create complex model chaining workflows through a dynamic API builder. The tool is designed for data professionals seeking to streamline workflow development and is available with a free tier to get started.
written from the facts on this page · September 2026
From the sources
Fleak simplifies AI workflows for data teams. No infrastructure needed. It integrates with leading cloud data warehouses and vector databases. Build complex model chaining data workflows in minutes with Fleak's dynamic API builder. Start for free.
Fleak is the AI-native data layer that turns messy, inconsistent, ungoverned data into a trusted signal for every AI application.
Fleak is the AI infrastructure layer between your data and your AI applications — normalized, filtered, governed, delivered in realfrom fleak.ai
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I built a serverless data API builder – no storage, low latency2024 · fleak.ai · ▲68Hey HN, I'm Bo, cofounder of Fleak.ai. Over the past several months, our team has been hard at work developing Fleak, a data API backend builder, and we would love your feedback on what we've built so far. What Fleak Does: Fleak simplifies the process of building and deploying API backends. It features a no-code IDE UI that lets you create workflows by chaining together steps such as native SQL transformations, calling LLM models, AWS Lambda functions, and more. With a single click, you can deploy these workflows to a production endpoint (during test, we are able to handle 5000 QPS without…


SimplAI2025 · simplai.ai · ▲589Hey HN, I've been building SimplAI for the past several months — it's a platform for building, testing, and deploying LLM-powered agents and multi-step workflows. The problem I kept running into: spinning up an AI agent pipeline means stitching together prompt management, tool calling, memory, evals, and deployment — often from scratch every time. SimplAI tries to be the layer that handles all of that so you can focus on what your agent actually does. What it does: - Visual + code-first workflow builder for chaining LLM calls, tools, and APIs - Built-in prompt versioning and A/B testing…


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