Fleak simplifies AI workflows for data teams. No infrastructure needed. It integrates with leading cloud data warehouses and vector databases. Build complex multi-model AI workflows in minutes with Fleak's serverless API builder. Start today - free.
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I like how this can solve a lot of use cases where multiple LLMs need to stitched together and RAG techniques need to be used to build product features. Embeddings is another complex use case that sounds like this tool can spin up quickly.
I assume the low-code functions similar to something like a zapier? Sounds easy to use!
Congrats on the launch @yc_j and team!
Nice! Does the API builder itself have an API? We built a no-code agent platform for non-technical business owners, so we could possibly bridge the gap and move upmarket if had or would consider an API.
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@rohan_arun1 Hey Rohan, super interesting. Ours is a low code platform. It's like Zapier on steroids for Data Teams - focusing on complex, chained workflows. Not only does it handle structured and unstructured data, but also allows you to put it anywhere you want. The chains of tech sprawl have been broken. Would love to hear your use cases. Def sign up and give it a spin. We should connect and talk shop.
@nioleads hi Nio, no, we are a very small team and Fleak has been a garage project for a long time before we decided to who out jobs and build it full time. Give it a try! We would love your feedback 😊
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@nioleads Thank you! We are a small and nimble team.
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I've worked closely with the Fleak team, and could not be more impressed with what they've built. The care and innovation they've put into building their platform cannot be understated, and I'm very excited to see Fleak finally out in the open. Huge congrats @tim_ep1@yc_j so psyched for y'all 🤙
Hey Product Hunt,
After countless late nights, cups of coffee, and coding marathons, we’re thrilled to introduce Fleak to the world.
I’m Yichen Jin, CEO & Co-founder of Fleak. Back in my VC days at Rocketship, I found myself spending endless hours dealing with data feed APIs, rewriting them into multithreading-safe production scripts, and then maintaining their performance and stability. It was a huge distraction from what I was supposed to be doing—like sipping lattes and nodding wisely in board meetings. I kept thinking, "Why isn’t there an API product built specifically for data teams?"
That’s when I crossed paths with Bo Lei, now my co-founder and CTO at Fleak. Bo had seen it all during his time at Splunk, where engineers spent 80% of their time wrestling with infrastructure instead of building the algorithms and features users really needed. Later, at Netflix, he worked on DataMesh, which allowed engineers to process data with low latency without the headache of infrastructure configuration.
What is Fleak?
Fleak is a dynamic API builder born out of real-life data science challenges. It simplifies data transformation workflows, enabling data teams to focus on innovation instead of infrastructure management. Fleak shifts the power back to data professionals.
Why Fleak?
1. Serverless Infrastructure: Fleak scales automatically, letting you innovate freely.
2. AI Orchestration Deployment: Coordinate multi-model LLMs seamlessly, ensuring low latency and boosting workflow efficiency.
3. Universal Storage Compatibility: Integrate with any storage environment, providing the flexibility and adaptability your data workflows need.
Fleak transforms complex data workflows into smooth, serverless APIs with just ONE click. No more endless infrastructure struggles – just efficient, streamlined workflows that let you focus on what truly matters.
Sign up for free Beta today at www.fleak.ai and let us know what you think.
Here’s to fewer headaches and more creativity!
Hope you love Fleak as much as we do!
Bo and Yichen
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Congratulations on the launch Tim, would love you to let everyone know what had been the motivation behind this startup, how you came up with the idea
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