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amir

@amirhouieh

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✦ Building @unbody_io - the first open-source AI-native backend stack.

netherlands
Joined September 2014
Don't wanna be here? Send us removal request.
@amirhouieh
amir
3 months
Big day🤩 We need issues more than stars.
@unbody_io
Unbody
3 months
Unbody is now open source. This is an alpha release, so expect rough edges, but we believe developing in the open and building a community will create a better product and we're looking forward to your feedback. →
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@amirhouieh
amir
4 days
Best time for building the backbone of vibe-only though.
@peer_rich
Peer Richelsen — oss/acc
4 days
wrong timing for vibe-only money wires man.
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@amirhouieh
amir
5 days
This whole Soham thing — and before that, the PearAI — makes me wonder: has YC kind of given up on technical depth in founders?.
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@amirhouieh
amir
7 days
You can't vibe code dev/infra tools. At least not for the time being.
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@amirhouieh
amir
7 days
You can't vibe code dev/infra tools. At least not for the time being.
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@amirhouieh
amir
13 days
RT @peer_rich: ive worked in tech long enough to see the same patterns. closed products stagnate. while open source products evolve and win….
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@amirhouieh
amir
14 days
RT @unbody_io: Weeks 24–25 updates: We were heads down on infra — a sweet problem: too many new users, and Cloud couldn’t keep up. So we’ve….
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@amirhouieh
amir
20 days
Two months ago we made Unbody open-source and 💥
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@amirhouieh
amir
27 days
RT @github: The AI landscape is evolving fast, and staying on top of the latest open-source projects is crucial for every developer. 🚀 Swip….
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@amirhouieh
amir
1 month
Why has nobody made a react state manager called "the truth" yet?.
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@amirhouieh
amir
1 month
That's how generative endpoints of @unbody_io works. We charge per call and per minute, regardless of type of model or even number of tokens.
@asleMammadam
mohammad 👾
1 month
i want to explore all the ai models with a single account and a single subscription, but in the providers themselves rather than a new client. pay for a token batch, and use those tokens in any model provider. imagine openai, anthropic, . having the "connect to t3" button.
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@amirhouieh
amir
1 month
RT @ReactAdvanced: 🫶 We were so happy to see you at the #ReactDublinMeetup!. 🎤 Special shoutout to @amirhouieh and @nialljoemaher for their….
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@amirhouieh
amir
1 month
Building UIs on top of generative data?.CRUD logic doesn’t work. Gen flows are streamed, multi-stage, and context-based. Gave a talk yesterday — here's a post for those who could not join:.
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@amirhouieh
amir
1 month
Very excited for this one.
@ReactAdvanced
React Advanced Conference
1 month
🚨 Last Chance to join us for the #ReactDublinMeetup — Tomorrow!. Come meet our amazing speakers:. 🎙️@amirhouieh - How to Manage State for Rag-Based UI in React.🎙️@nialljoemaher - Building Your Own React Hook Library. What's else in store:.‣ Open mic session 🎤.‣ Networking
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@amirhouieh
amir
1 month
CRUD state is predictable. RAG state isn’t. CRUD patterns won’t cut it when your data comes from RAG and LLMs. Tomorrow at React Dublin, I’m sharing how to manage state in generative UIs. Join us.
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@amirhouieh
amir
2 months
This is exactly how you win against big players, ship features that actually matter and do it fast.
@ThijsVerreck
Thijs
2 months
YES we cracked it! 🤩 native multi-player code execution and multi-player editing. soon you'll be able to work real-time in prototyper with your team + a large number of "agents". all working together instantly, with zero latency.
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@amirhouieh
amir
2 months
RT @ThijsVerreck: YES we cracked it! 🤩 native multi-player code execution and multi-player editing. soon you'll be able to work real-time….
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@amirhouieh
amir
2 months
We’ve been cooking something up. Now you can go from zero to a production AI backend in just a few clicks: from multimodal rag to visual matching to chatbots. @unbody_io 's console v1.0 is coming soon .
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@amirhouieh
amir
2 months
This gets us closer. Previously, when I talked about a post-relational-database world, people would always ask: but what about transactional data?.Well—there you go, the proof.
@thegautam
Gautam Kedia
2 months
TL;DR: We built a transformer-based payments foundation model. It works. For years, Stripe has been using machine learning models trained on discrete features (BIN, zip, payment method, etc.) to improve our products for users. And these feature-by-feature efforts have worked.
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@amirhouieh
amir
2 months
Investor fit goes both ways.
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