AI Workflows. Simplified.
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Tim Hillison

Fleak AI Workflows - Build serverless APIs in minutes

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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.

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Bilal Asif
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
Claire Sun
It really helps boost work efficiency๏ผ
YC J
Maker
@tutoreva great to hear! Curious how you are using APIs in your work !
Claire Sun
@yc_j I'm using APIs to integrate various tools and services into my projects, automating processes, and enhancing functionality. They help streamline workflows, connect different platforms, and enable more efficient data handling. How about you? How are you incorporating APIs into your work?
Bo Lei
Maker
@tutoreva Give us a try ;)
Burcin S.
Congrats on your launch ๐ŸŽ‰ Simplifying AI deployment in a serverless way is a great solution, love it!
xing_fleak
Maker
@burcins Thank you so much! We're passionate about making AI more accessible, and it's great to hear you love our approach. ๐Ÿš€
Tim Hillison
Maker
@burcins Please keep us updated about your launch so we can support you!
Burcin S.
@tim_ep1 Awesome thank you! Here is our upcoming launch this Saturday, I'd be glad if you can support us ๐Ÿ™ https://www.producthunt.com/prod...
Tim Hillison
Maker
@burcins I've signed up! Woohoo!
Burcin S.
@tim_ep1 Awesome, thank you for the support ๐Ÿ™
YC J
Maker
Hey Product Hunt, After countless late nights, cups of coffee, and coding marathons, weโ€™re thrilled to introduce Fleak to the world. Iโ€™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 doingโ€”like sipping lattes and nodding wisely in board meetings. I kept thinking, "Why isnโ€™t there an API product built specifically for data teams?" Thatโ€™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 โ€“ 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. Hereโ€™s to fewer headaches and more creativity! Hope you love Fleak as much as we do! Bo and Yichen
Bryan
Great to see Fleak tackling the headache of data workflows! Shoutout to @bilalasif, Yichen Jin, and Bo Lei for turning a pain point into a powerful solution. ๐Ÿš€ No more wrestling with infrastructure โ€“ just seamless integration and model chaining in minutes! Excited to see how this revolutionizes data teams. Hereโ€™s to driving real business impact without the hassle! #Makers #Launch
dawei_ren
Maker
@dance17219 Thank you, weโ€™ll be adding more surprises in the future, including a sharing feature that will make it super easy to share your workflows with others. Plus, weโ€™re also working on API monitoring features. Stay tuned for more updates!
Roman Fleak
Maker
@bilalasif @dance17219 it's super simple to build, test and deploy your data workflows to production with Fleak. All you need to worry about is piecing right building blocks together. We take care of the rest. ๐Ÿค˜
Tony Han
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!
YC J
Maker
@tonyhanded hi Tony, yes we focus on in memory processing with and without LLMs and taking care of the operation complexity from the users
Tim Hillison
Maker
@yc_j @tonyhanded Indeed. It's like Zapier but for complex data workflows. I think you'll dig it. Give it a spin for free. Happy to chat.
Cem ร–zรงelik
Congrats Tim and team! great job!
xing_fleak
Maker
@cem_ozcelik Thank you! Your support means a lot to Tim and the entire team. We're excited to keep pushing forward!
Tim Hillison
Maker
@cem_ozcelik Thank you! We are so excited to launch Fleak! We appreciate you and your support so much!
Zenda
Congrats! This is really great for the development of AI tools! We are currently using Flowise to build our application. I have also seen many AI workflow tools, such as Dify and Coze. What is the uniqueness of Fleak?
xing_fleak
Maker
@zenda1122 Thank you for your support and curiosity! Indeed, Fleak stands out because it allows users to deploy APIs capable of handling thousands of requests per second with just a SQL or LLM logic description, without the need for a database or server configuration. We believe this streamlined yet powerful approach will significantly enhance the efficiency and accessibility of AI tool development. We welcome further discussion on how Fleak can revolutionize your application!
YC J
Maker
@zenda1122 we love Flowise as an LLM workflow tool! In fact you can plug in Fleak API inside your existing orchestrators. We are more like a microservice deployment solution where your precision driven processing can meet with LLMs in harmony with streaming ready capability.
Sheikh Irfan
Great Product. loved it. keep going.
xing_fleak
Maker
@sheikhirfan10 Thank you! We're so glad you love it. Stay tuned for more!
Alex
Hey Yichen, this looks impressive! The pain points you've addressed resonate with many in the data community. I'm particularly curious about the dynamic API builderโ€”how does it integrate with existing data workflows, especially for those with complex legacy systems? Also, can you share more on the security measures Fleak has in place for the data being processed through your platform? This could be crucial for teams considering adoption. Excited to try the free Beta! #PH #Launch
Tim Hillison
Maker
@zanereed596 I love your comments! Definitely try it out. I think you'll like it and it is so easy to use!
YC J
Maker
@zanereed596 hi Alex, Fleakโ€™s core ip is our in memory processing capability. We do not need a storage layer to execute the processing nodes whether itโ€™s sql or llm. As long as you have an API client, you can call Fleak APIs from anywhere.
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