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Z8086: Rebuilding the 8086 from Original Microcode

https://nand2mario.github.io/posts/2025/z8086/
1•nand2mario•3m ago•0 comments

Listen to Mixtapes from Before

https://intertapes.net/
1•poniko•7m ago•0 comments

My First Impressions of MeshCore Off-Grid Messaging

https://mtlynch.io/first-impressions-of-meshcore/
1•mtlynch•9m ago•0 comments

I built a tool to restore old family photos without ruining them with AI

https://forevi.ai
1•poznerd•9m ago•1 comments

Designing Electronics That Works

https://nostarch.com/designingelectronics
1•0x54MUR41•9m ago•0 comments

Most LLM cost isn't compute – it's identity drift (110-cycle GPT-4o benchmark)

https://github.com/sigmastratum/documentation/blob/main/sigma-runtime/SR-EI-03/benchmark_report_S...
1•teugent•10m ago•1 comments

Show HN: PlanEat AI, an AI iOS app for weekly meal plans and smart grocery lists

1•franklinm1715•10m ago•0 comments

A Post-Incident Control Test for External AI Representation

https://zenodo.org/records/17921051
1•businessmate•11m ago•1 comments

اdifference gbps overview find answers

1•shahrtjany•12m ago•0 comments

Measuring Impact of Early-2025 AI on Experienced Open-Source Dev Productivity

https://arxiv.org/abs/2507.09089
1•vismit2000•13m ago•0 comments

Show HN: Lazy Demos

http://demoscope.app/lazy
1•admtal•15m ago•0 comments

AI-Driven Facial Recognition Leads to Innocent Man's Arrest (Bodycam Footage) [video]

https://www.youtube.com/watch?v=B9M4F_U1eEw
2•niczem•15m ago•1 comments

Annual Production of 1/72 (22mm) scale plastic soldiers, 1958-2025

https://plasticsoldierreview.com/ShowFeature.aspx?id=27
2•YeGoblynQueenne•16m ago•0 comments

Error-Handling and Locality

https://www.natemeyvis.com/error-handling-and-locality/
1•Theaetetus•17m ago•0 comments

Petition for David Sacks to Self-Deport

https://form.jotform.com/253464131055147
1•resters•18m ago•0 comments

Get found where people search today

https://kleonotus.com/
1•makenotesfast•20m ago•1 comments

Show HN: An early-warning system for SaaS churn (not another dashboard)

https://firstdistro.com
1•Jide_Lambo•21m ago•1 comments

A Practical Approach to Verifying Code at Scale

https://alignment.openai.com/scaling-code-verification/
1•gmays•23m ago•0 comments

Show HN: macOS tool to restore window layouts

https://github.com/zembutsu/tsubame
1•zembutsu•26m ago•0 comments

30 Years of <Br> Tags

https://www.artmann.co/articles/30-years-of-br-tags
2•FragrantRiver•32m ago•0 comments

Kyoto

https://github.com/stevepeak/kyoto
2•handfuloflight•33m ago•0 comments

Decision Support System for Wind Farm Maintenance Using Robotic Agents

https://www.mdpi.com/2571-5577/8/6/190
1•PaulHoule•34m ago•0 comments

Show HN: X-AnyLabeling – An open-source multimodal annotation ecosystem for CV

https://github.com/CVHub520/X-AnyLabeling
1•CVHub520•36m ago•0 comments

Penpot Docker Extension

https://www.ajeetraina.com/introducing-the-penpot-docker-extension-one-click-deployment-for-self-...
1•rainasajeet•37m ago•0 comments

Company Thinks It Can Power AI Data Centers with Supersonic Jet Engines

https://www.extremetech.com/science/this-company-thinks-it-can-power-ai-data-centers-with-superso...
1•vanburen•40m ago•0 comments

If AIs can feel pain, what is our responsibility towards them?

https://aeon.co/essays/if-ais-can-feel-pain-what-is-our-responsibility-towards-them
3•rwmj•44m ago•5 comments

Elon Musk's xAI Sues Apple and OpenAI over App Store Drama

https://mashable.com/article/elon-musk-xai-lawsuit-apple-openai
1•paulatreides•47m ago•1 comments

Ask HN: Build it yourself SWE blogs?

1•bawis•47m ago•1 comments

Original Apollo 11 Guidance Computer source code

https://github.com/chrislgarry/Apollo-11
3•Fiveplus•53m ago•0 comments

How Did the CIA Lose Nuclear Device?

https://www.nytimes.com/interactive/2025/12/13/world/asia/cia-nuclear-device-himalayas-nanda-devi...
1•Wonnk13•54m ago•1 comments
Open in hackernews

Show HN: Rethinknig Serverless – Services, Observers, and Actors Now Available

5•genovalente•6mo ago
Hey HN - Today we launched a new globally available Serverless platform that thinks about simplicity and DX first and foremost. Let us know what you think - try it now for free.

Traditional serverless functions are islands. Each function handles a request, does its work, and forgets everything. Need one function to talk to another? You’ll be making HTTP calls over the public internet, managing authentication between your own services, and dealing with unnecessary network latency for simple internal operations.

This architectural limitation has held back serverless adoption for complex applications. Why would you break your monolith into microservices if it means every internal operation becomes a slow, insecure HTTP call, and/or any better way of having communications between them is an exercise completely left up to the developer?

Introducing Raindrop Services Services in Raindrop are stateless compute blocks that solve this fundamental problem. They’re serverless functions that can work independently or communicate directly with each other—no HTTP overhead, no authentication headaches, no architectural compromises.

Think of Services as the foundation of a three-pillar approach to modern serverless development:

Services (this link below): Efficient serverless functions with built-in communication Observers (Part 2): React to changes and events automatically Actors (Part 3): Maintain state and coordinate complex workflows

Let’s dive into how Services can be used to make your life easier.

Public Services: Your Application’s Front Door Public services are exactly what you’d expect—serverless functions accessible via unique URLs. They handle external requests, manage authentication, and serve as entry points to your application.

Public Services

// raindrop.manifest service "my-api" { domain { cname = "my-unique-service" } }

When deployed, this service becomes accessible at my-unique-service.<org-id>.lmapp.run. Perfect for APIs, webhooks, and any user-facing functionality.

Internal Services: The Secret Sauce Here’s where things get interesting. Internal services don’t need public URLs—they’re designed to be called by other services within your application. But unlike traditional serverless functions, they can be invoked directly without HTTP calls.

This is service binding in action: efficient, secure communication between your services without the networking overhead.

Internal Services

// raindrop.manifest service "my-api" {}

Service Bindings: Direct Internal Communication The magic happens when services call each other. Instead of making HTTP requests, services invoke methods directly on other services. It’s like having a private, high-speed network between your functions. Below are the public and internal services in action:

// Service A (public-facing) export default class extends Service<Env> { async fetch(request: Request): Promise<Response> { // Direct call to internal service - no HTTP, no URLs needed const response = await this.env.SERVICE_B.processData({ userId: getUserId(request) }); return response; } }

// Service B (internal-only) export default class extends Service<Env> { async processData(input: any): Promise<Response> { // Your business logic here return new Response("Processed successfully"); } }

Tech Blog - Services: https://liquidmetal.ai/casesAndBlogs/services/ Tech Docs - https://docs.liquidmetal.ai/reference/services/ Sign up for our free tier - https://raindrop.run/

Comments

genovalente•6mo ago
The blog for Observers : https://liquidmetal.ai/casesAndBlogs/observers/

The Reactive Programming Problem Difficulty in building reactive applications with traditional serverless functions Most applications need to respond to events: files uploaded to storage, messages arriving in queues, data changes triggering downstream processing. Traditional serverless platforms leave you with limited options—polling APIs on timers, setting up complex webhook systems, or building custom event routing infrastructure.

Polling wastes resources and creates delays. Webhooks require managing external endpoints and handling failures. Custom event systems add operational complexity that defeats the purpose of going serverless in the first place.

Introducing Raindrop Observers Observers in Raindrop are powerful components that let you execute code in response to changes in your resources automatically. Think of them as event listeners that trigger when specific conditions are met in your application—no polling, no complex setup, just clean reactive code.

Raindrop Observers event listening reactive capabilites with clean code Observers are the second pillar in Raindrop’s approach to modern serverless development:

Services (Part 1): Efficient serverless functions with built-in communication Observers (this post): React to changes and events automatically Actors (Part 3): Maintain state and coordinate complex workflows Let’s dive into how Observers can be used to make your life easier.