Previously @Screeb @iAdvize @Epitech @WFP
🏊 && 🚴
🌱 Born in 358ppm.
Check the github: github.com/deepseek-ai/...
And the paper: arxiv.org/abs/2510.18234
Check the github: github.com/deepseek-ai/...
And the paper: arxiv.org/abs/2510.18234
Both are forms of writing, just in different alphabets.
Both are forms of writing, just in different alphabets.
At first, we carved pictograms on stone and clay. Then came ideograms, cuneiform, hieroglyphs, and alphabets. Each step: a more abstract compression of meaning.
Symbols standing for sounds, sounds for ideas.
At first, we carved pictograms on stone and clay. Then came ideograms, cuneiform, hieroglyphs, and alphabets. Each step: a more abstract compression of meaning.
Symbols standing for sounds, sounds for ideas.
Think of it as npx/uvx-as-a-service.
Think of it as npx/uvx-as-a-service.
🔗 GitHub: github.com/samber/ro
📚 Documentation: ro.samber.dev
I'd love to hear your feedback! If you're building event-driven applications in Go, give samber/ro a try and let me know how it works for your use case.
🔗 GitHub: github.com/samber/ro
📚 Documentation: ro.samber.dev
I'd love to hear your feedback! If you're building event-driven applications in Go, give samber/ro a try and let me know how it works for your use case.
🔌 Rich ecosystem: 30+ plugins for HTTP, JSON, logging, rate limiting, file monitoring, and more.
🔌 Rich ecosystem: 30+ plugins for HTTP, JSON, logging, rate limiting, file monitoring, and more.
🔄 Declarative pipelines: Transform complex async flows into readable operators
⚡ Performance-focused: Minimal allocations, zero runtime reflection, and efficient backpressure handling designed for high-throughput scenarios.
🔄 Declarative pipelines: Transform complex async flows into readable operators
⚡ Performance-focused: Minimal allocations, zero runtime reflection, and efficient backpressure handling designed for high-throughput scenarios.
Event-driven applications are everywhere: WebSocket streams, message brokers, user interactions, sensor data. Traditional callback patterns quickly become complex and hard to maintain. samber/ro brings declarative, composable stream processing to Go.
Event-driven applications are everywhere: WebSocket streams, message brokers, user interactions, sensor data. Traditional callback patterns quickly become complex and hard to maintain. samber/ro brings declarative, composable stream processing to Go.
We’ve also hit 𝟮𝟬,𝟬𝟬𝟬 𝗚𝗶𝘁𝗛𝘂𝗯 𝘀𝘁𝗮𝗿𝘀 and are now the 𝟭𝟱𝘁𝗵 𝗺𝗼𝘀𝘁 𝘂𝘀𝗲𝗱 𝗚𝗼 𝗹𝗶𝗯𝗿𝗮𝗿𝘆, used in small startups as well as GAFAM, BATX….
We’ve also hit 𝟮𝟬,𝟬𝟬𝟬 𝗚𝗶𝘁𝗛𝘂𝗯 𝘀𝘁𝗮𝗿𝘀 and are now the 𝟭𝟱𝘁𝗵 𝗺𝗼𝘀𝘁 𝘂𝘀𝗲𝗱 𝗚𝗼 𝗹𝗶𝗯𝗿𝗮𝗿𝘆, used in small startups as well as GAFAM, BATX….
samuelberthe.substack.com/p/why-your-o...
samuelberthe.substack.com/p/why-your-o...