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@RajIsTheWorst @paid_ai @eqtventures @sequoia @gtmfund congrats!

Friends, it’s time to talk about what i’ve been up to for the past couple of months. @paid_ai makes it easy to monetise AI agents, as well as getting insights into margins and metrics. Oh and we've raised $11 million from @eqtventures @sequoia @gtmfund

@jakubeth It's been a pleasure working with you, Jakub, and I look forward to continuing our work together!

I'm excited to share the new Reform landing page I've designed and implemented. This project wouldn't have been possible without @abuhasho input and direct collaboration. Some goals we had: 1/2

🚀 @reform_hq launched! The fastest way to build modern logistics software ⚡ 🌐 reformhq.com 📊 “the sweet spot between buying a generic off-the-shelf TMS and building one in-house.” Congrats @saifahash @abuhasho @_pradhit! tryfondo.com/blog/reform-la…

@fondocom @reform_hq @saifahash @_pradhit Thanks! 🚢

Exactly a year ago, I pushed the first commit for a side project I was working on with @_pradhit and @abuhasho. Today, we accepted a check that closes our seed round after having just finished the most thrilling life experience @ycombinator. Get after it kids.

YC W24's @Reform_hq is building Retool for logistics software. It makes it easy to build the exact Transportation Management System your logistics business needs at a fraction of the time and cost. ycombinator.com/launches/KYm-r… Congrats on the launch @saifahash @abuhasho & @_pradhit!

@samraaj 🚀

⚡️Introducing ion design (YC W24)⚡️ We instantly turn Figma designs into clean React code. We're already speeding up businesses by ~40% ion saves thousands of hours by: - Learning structure from your codebase - Reusing your existing components - Automatic dark mode 🌙 (1/4)

met @paulg

.@abuhasho, @_pradhit, and Saif are building reformhq.com to help the freight industry easily and accurately process shipping documents by automating workflows like invoice intake & customs clearance filing at any scale.

Meet the 5 latest Pioneer companies building products spanning automations for logistics providers, automated inventory management & product listing, AI-powered research & information discovery, and more: pioneer.app/blog/p/0deb6ac…

@Alw3ys @DeployPlex @tiangolo @FastAPI congrats on the launch 🚀

Announcing @DeployPlex, The native FastAPI platform. In December 24, 2018 @tiangolo released @FastAPI, and two years after it's been downloaded more than 800,000 times, he didn't expect it to work, but it did, and now he has enabled many teams across different organizations to build APIS for Machine Learning and data applications. Another massive adoption and traction @FastAPI has gained is from new developers building LLM applications leveraging @OpenAI APIs, vector databases and the emerging fast growing open-source framework @langchain. These components combined has made extremely easy to get up an running on your computer and built quickly a LLM backend. The new blocker However, the challenges have evolved. While it's now possible to prototype an application with approximately 5 lines of LangChain code and another 5 lines of FastAPI to expose an endpoint, the journey from prototype to production remains fraught with obstacles. Developers are finding themselves retracing the same steps, and organizations are repeatedly building infrastructure on top of AWS, Google Cloud, and Azure. Not only are they hosting their applications on these platforms, but they're also investing significant time in automating CI/CD processes and self-hosting vector databases - a crucial component of LLM-based apps. But this journey isn't without its toll. The investment in time and resources is substantial. Transitioning an application to production involves myriad tasks: managing database backups, intelligently caching builds to ensure build times don't hinder productivity, handling SSL certificates, managing container registries, and optimizing VM sizing. All these tasks are undertaken with the aim of maintaining clean Infrastructure as Code (IaC) practices, like using Terraform. And just when things seem to be running smoothly, unexpected changes, like a licensing shift, can throw a wrench in the works. What we are not building We are not monitoring debugging or monitoring your LLM prompts, we are not helping you test and evaluate your dataset curation, we are not helping you manage your prompts. If you want to do that use LangSmith, from @langchain, that's their play, and hopefully we can forge some partnership in the upcoming future. Breaking Down What We're Building Our vision with @DeployPlex is to create a platform tailored for engineers who are passionate about building top-tier AI products at the application layer. We're staunch believers in the power of Python, and we're doubling down on it. We're leveraging @FastAPI prowess as a modern, high-performance web framework for building APIs. With @DeployPlex, you can expect: - GitOps philosophy. - Zero-Config build, test and deployments and in less than a minute - Seamless app rollbacks and autoscaling. - Batteries included Vector DBs. Backups, autoscaling (more to be announced soon). - Managed SSL Certificates. Let's face it: managing infrastructure isn't a walk in the park when you want to serve thousands or million of users compared to local prototyping. What's our vision? To build the platform AI-native apps. Our beta access Hold onto your hats! We're not fully launching just yet. But rest assured, we're gearing up for it. In the meantime, we're eager to engage with our community. Request beta access on our site, and we'll be selecting 100 engineers to participate in our beta program. We are exited to help you build faster AI-native apps.

@turbismo @FarzaTV @_buildspace @_nightsweekends Thank you! - We currently accept pdf, docx, and txt. We’re considering adding support for html and urls. - Yes, and that’s actually what we’re focusing on! We have it gated for enterprises right now (and pilots who are interested in getting a plan). Are you interested?

Upload a file, choose the data you want to extract, and export as a CSV 🏎️ Here's me using Knowstory.io to get the w4 update submission details from the guide @FarzaTV sent. cc @_buildspace @_nightsweekends

@bitrouteAI @hwchase17 @langchain Awesome, will check it out!

Guess who just added a summarize endpoint? That's right - Knowstory.io did. Built with @hwchase17's @langchain

@lak_shya22 @_buildspace @_nightsweekends we’re using gpt-4 for now!

Want to extract structured data from unstructured text? Knowstory.io has 1 API endpoint that returns a JSON object after providing a document and fields to extract. This is our 5th iteration and we love it. DM me for early access. CC @_buildspace @_nightsweekends

@aarekaz @_buildspace @_nightsweekends Not yet but we’ll be adding integrations soon!

@abuhasho @_buildspace @_nightsweekends Wait can we point to do our own google drives and other cloud storage? Would be pretty cool to query multiple personal storage spaces.

@sidbing @_buildspace @_nightsweekends thank you! unstructured is focused on the LLM use case. with us you tell us what to look for and we'll extract that so you can use that in your business workflow!

@abuhasho @_buildspace @_nightsweekends hey! love that you're actually building in public by exposing just a single API and adding more as you go along. would love to know what limitations you see with unstructured.io

@AbuAbdullah_IN @_buildspace @_nightsweekends Appreciate the feedback! 1. we can add that 2. we dont want to store your keys; you can reuse the ones you create or generate new ones! we’ll also be supporting persistent API keys soon

@abuhasho @_buildspace @_nightsweekends This is so cool ser. I just tried the product and had couple of feedbacks, 1. Any possibility to test product by pasting some text content in the website? 2. the api keys aren't stored after generating it.