正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

(s2.dev) is the serverless API for unlimited, durable, real-time streams. Streams are now a dead-simple cloud storage primitive. Congrats on the launch, shikhar, Stephen Balogh, and quettabit!

Y Combinator

1,616,502 subscribers

150,567 次观看 • 7 个月前 •via X (Twitter)

教育科学技术

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

Dome (Dome) is a unified API for prediction markets like Polymarket and Kalshi. Trade and analyze data across multiple platforms with one simple API. Congrats on the launch, Kurush Dubash & Kunal Roy!

Dome (Dome) is a unified API for prediction markets like Polymarket and Kalshi. Trade and analyze data across multiple platforms with one simple API. Congrats on the launch, Kurush Dubash & Kunal Roy!

Y Combinator

34,168 次观看 • 7 个月前

Overshoot is the fastest API for real-time vision. Literally faster than human reaction time (<200ms). Developers are using it to ship video agents in gaming, robotics, sports and security. Check out the playground: Congrats Zakaria and Younes on the launch!

Overshoot is the fastest API for real-time vision. Literally faster than human reaction time (<200ms). Developers are using it to ship video agents in gaming, robotics, sports and security. Check out the playground: Congrats Zakaria and Younes on the launch!

Y Combinator

51,051 次观看 • 4 个月前

It's all about the loop. Agents accumulate state with every step of the loop. This state needs a new data primitive. That's Durable Streams 🧵👇

It's all about the loop. Agents accumulate state with every step of the loop. This state needs a new data primitive. That's Durable Streams 🧵👇

Electric

10,565 次观看 • 2 个月前

Hydra (Hydra) is serverless real-time analytics on Postgres. By separating compute from storage, Hydra enables compute-isolated analytics and bottomless storage. It is designed for low latency applications built on time series and event data.

Hydra (Hydra) is serverless real-time analytics on Postgres. By separating compute from storage, Hydra enables compute-isolated analytics and bottomless storage. It is designed for low latency applications built on time series and event data.

Y Combinator

16,806 次观看 • 1 年前

Sites every developer should know. - A programming language for the cloud - TS Background Jobs - Serverless development - DB to API - API integration

Sites every developer should know. - A programming language for the cloud - TS Background Jobs - Serverless development - DB to API - API integration

Csaba Kissi

18,298 次观看 • 2 年前

Another demo — this time processing in real-time the wikipedia events firehose! Durable Streams + TanStack DB + Solid.js handle it with ease

Another demo — this time processing in real-time the wikipedia events firehose! Durable Streams + TanStack DB + Solid.js handle it with ease

Kyle Mathews

25,165 次观看 • 6 个月前

🧪 Hacking with Durable Streams + Rivet Actors Actors → the brains & memory Durable Streams → the pipes Electric team → the 🐐 This is VERY experimental – demo code & slides below

🧪 Hacking with Durable Streams + Rivet Actors Actors → the brains & memory Durable Streams → the pipes Electric team → the 🐐 This is VERY experimental – demo code & slides below

Nathan Flurry 🔩

19,483 次观看 • 6 个月前

Building real-time data pipelines and stream processing is one of the best-paid skills in the market. Apache Kafka and Flink are the industry standards, but they are Java-based and have a Python wrapper. If you are a Python developer, there is an open-source alternative! Watch this video. It's a full tutorial solving a real-world problem using the Quix Streams library. Quix Streams is all Python, and it's open-source! The video shows you how to process GitHub's Firehose API, a constant stream of raw activity. You can use this stream to identify real-time trends with code, issues, and the popularity of public repositories. Here is what the video covers: • How to tap into the GitHub Firehose API using Python and server-sent events (SSE) • How to efficiently stream that data into Kafka • How to optimize Kafka producer settings like batch size and compression for maximum throughput A few other notes about Quix Streams: • You don't need to know any Java • It has a dead-simple API • It integrates seamlessly with your Python stack • It's designed for parallel processing at high velocity You can use Quix Streams to build complete stream processing pipelines in Python, including feature engineering, pre-computations, inference, and real-time machine learning. Thanks to the Quix team for collaborating with me on this post.

Building real-time data pipelines and stream processing is one of the best-paid skills in the market. Apache Kafka and Flink are the industry standards, but they are Java-based and have a Python wrapper. If you are a Python developer, there is an open-source alternative! Watch this video. It's a full tutorial solving a real-world problem using the Quix Streams library. Quix Streams is all Python, and it's open-source! The video shows you how to process GitHub's Firehose API, a constant stream of raw activity. You can use this stream to identify real-time trends with code, issues, and the popularity of public repositories. Here is what the video covers: • How to tap into the GitHub Firehose API using Python and server-sent events (SSE) • How to efficiently stream that data into Kafka • How to optimize Kafka producer settings like batch size and compression for maximum throughput A few other notes about Quix Streams: • You don't need to know any Java • It has a dead-simple API • It integrates seamlessly with your Python stack • It's designed for parallel processing at high velocity You can use Quix Streams to build complete stream processing pipelines in Python, including feature engineering, pre-computations, inference, and real-time machine learning. Thanks to the Quix team for collaborating with me on this post.

Santiago

89,230 次观看 • 1 年前

1 BILLION STREAMS ON SPOTIFY! THE GREATEST OF ALL TIME 👑 CONGRATS LISA LALISA ALBUM ONE BILLION #LALISA_1B_SPOTIFY

1 BILLION STREAMS ON SPOTIFY! THE GREATEST OF ALL TIME 👑 CONGRATS LISA LALISA ALBUM ONE BILLION #LALISA_1B_SPOTIFY

honors lisa

151,062 次观看 • 3 年前

been watching the pizza tower dev streams

been watching the pizza tower dev streams

AJollyChristmas🎄

57,438 次观看 • 1 年前

.Autumn AI, Inc. is building the first real-time signal intelligence platform for GTM teams. Define your ICP and the signals that matter, and Autumn delivers a condensed, real-time feed filtered by intents. Congrats on the launch Vishnu Sampathkumar and Shiv Kampani!

.Autumn AI, Inc. is building the first real-time signal intelligence platform for GTM teams. Define your ICP and the signals that matter, and Autumn delivers a condensed, real-time feed filtered by intents. Congrats on the launch Vishnu Sampathkumar and Shiv Kampani!

Y Combinator

70,576 次观看 • 4 个月前

We built a collaborative editor with an AI agent as a real-time CRDT peer. It has its own cursor, streams edits into a Yjs rich text document, and resolves conflicts alongside human users automatically. Built with Durable Streams, Yjs, and TANSTACK AI. 🔗🧵

We built a collaborative editor with an AI agent as a real-time CRDT peer. It has its own cursor, streams edits into a Yjs rich text document, and resolves conflicts alongside human users automatically. Built with Durable Streams, Yjs, and TANSTACK AI. 🔗🧵

Electric

36,568 次观看 • 2 个月前

The $2T telecom industry was built for humans. AgentPhone (YC P26) is rebuilding it for agents. One API gives every AI agent its own phone number and a trusted identity to reach the real world. Congrats on the launch, Meet Modi & Manav Modi!

The $2T telecom industry was built for humans. AgentPhone (YC P26) is rebuilding it for agents. One API gives every AI agent its own phone number and a trusted identity to reach the real world. Congrats on the launch, Meet Modi & Manav Modi!

Y Combinator

73,357 次观看 • 1 个月前

Thank you for all the love and support on the streams, y’all are amazing!! ❤️

Thank you for all the love and support on the streams, y’all are amazing!! ❤️

Emilio Leynez

17,877 次观看 • 1 年前

Blaxel (Blaxel) is a cloud built for AI agents. Traditional cloud providers were built for the web era. Blaxel's cloud platform is designed to run the upcoming billions of agents — and provide them with their own virtual compute runtime. Congrats on the launch, Paul, Mathis, Nico Lecomte, Christophe Ploujoux, grotoma, and Charles Drappier!

Blaxel (Blaxel) is a cloud built for AI agents. Traditional cloud providers were built for the web era. Blaxel's cloud platform is designed to run the upcoming billions of agents — and provide them with their own virtual compute runtime. Congrats on the launch, Paul, Mathis, Nico Lecomte, Christophe Ploujoux, grotoma, and Charles Drappier!

Y Combinator

22,428 次观看 • 1 年前

Cloud outages are changing how teams think about storage. That’s why Akave Cloud is building on Filecoin Onchain Cloud for cloud-like flexibility with verifiable storage and no single point of failure

Cloud outages are changing how teams think about storage. That’s why Akave Cloud is building on Filecoin Onchain Cloud for cloud-like flexibility with verifiable storage and no single point of failure

Filecoin

26,394 次观看 • 5 个月前

🇵 🇷 🇴 🇲 🇵 🇹 🇸 are an API primitive now! Centrally manage, version, and optimize prompts. Use (and reuse!) prompts across the Playground, API, Evals, and Stored Completions.

🇵 🇷 🇴 🇲 🇵 🇹 🇸 are an API primitive now! Centrally manage, version, and optimize prompts. Use (and reuse!) prompts across the Playground, API, Evals, and Stored Completions.

OpenAI Developers

193,195 次观看 • 1 年前

Smooth by Smooth is a real-time AI browser agent - and the fastest and most reliable one yet. It can autonomously perform any task on the web using mouse and keyboard. Infinitely scalable, production-ready, and secure, it's now available as a serverless API with instant browser spin-up and persistent sessions.

Smooth by Smooth is a real-time AI browser agent - and the fastest and most reliable one yet. It can autonomously perform any task on the web using mouse and keyboard. Infinitely scalable, production-ready, and secure, it's now available as a serverless API with instant browser spin-up and persistent sessions.

Y Combinator

33,958 次观看 • 8 个月前

21st (21stdev) is the production layer for frontier AI agents. 1.4M developers already use their platform to build AI apps, 15K+ GitHub stars - now they're making it dead simple to deploy Claude Code, Codex, and other agents to production. Congrats on the launch, sergey bunas & serafim!

21st (21stdev) is the production layer for frontier AI agents. 1.4M developers already use their platform to build AI apps, 15K+ GitHub stars - now they're making it dead simple to deploy Claude Code, Codex, and other agents to production. Congrats on the launch, sergey bunas & serafim!

Y Combinator

33,400 次观看 • 3 个月前