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Stop building automations. Start running your business

https://www.fluxtopus.com/automate-your-business
1•valboa•1m ago•1 comments

You can't QA your way to the frontier

https://www.scorecard.io/blog/you-cant-qa-your-way-to-the-frontier
1•gk1•2m ago•0 comments

Show HN: PalettePoint – AI color palette generator from text or images

https://palettepoint.com
1•latentio•3m ago•0 comments

Robust and Interactable World Models in Computer Vision [video]

https://www.youtube.com/watch?v=9B4kkaGOozA
1•Anon84•7m ago•0 comments

Nestlé couldn't crack Japan's coffee market.Then they hired a child psychologist

https://twitter.com/BigBrainMkting/status/2019792335509541220
1•rmason•8m ago•0 comments

Notes for February 2-7

https://taoofmac.com/space/notes/2026/02/07/2000
2•rcarmo•9m ago•0 comments

Study confirms experience beats youthful enthusiasm

https://www.theregister.com/2026/02/07/boomers_vs_zoomers_workplace/
2•Willingham•16m ago•0 comments

The Big Hunger by Walter J Miller, Jr. (1952)

https://lauriepenny.substack.com/p/the-big-hunger
1•shervinafshar•18m ago•0 comments

The Genus Amanita

https://www.mushroomexpert.com/amanita.html
1•rolph•22m ago•0 comments

We have broken SHA-1 in practice

https://shattered.io/
4•mooreds•23m ago•2 comments

Ask HN: Was my first management job bad, or is this what management is like?

1•Buttons840•24m ago•0 comments

Ask HN: How to Reduce Time Spent Crimping?

2•pinkmuffinere•25m ago•0 comments

KV Cache Transform Coding for Compact Storage in LLM Inference

https://arxiv.org/abs/2511.01815
1•walterbell•30m ago•0 comments

A quantitative, multimodal wearable bioelectronic device for stress assessment

https://www.nature.com/articles/s41467-025-67747-9
1•PaulHoule•32m ago•0 comments

Why Big Tech Is Throwing Cash into India in Quest for AI Supremacy

https://www.wsj.com/world/india/why-big-tech-is-throwing-cash-into-india-in-quest-for-ai-supremac...
1•saikatsg•32m ago•0 comments

How to shoot yourself in the foot – 2026 edition

https://github.com/aweussom/HowToShootYourselfInTheFoot
1•aweussom•32m ago•0 comments

Eight More Months of Agents

https://crawshaw.io/blog/eight-more-months-of-agents
4•archb•34m ago•0 comments

From Human Thought to Machine Coordination

https://www.psychologytoday.com/us/blog/the-digital-self/202602/from-human-thought-to-machine-coo...
1•walterbell•35m ago•0 comments

The new X API pricing must be a joke

https://developer.x.com/
1•danver0•36m ago•0 comments

Show HN: RMA Dashboard fast SAST results for monorepos (SARIF and triage)

https://rma-dashboard.bukhari-kibuka7.workers.dev/
1•bumahkib7•36m ago•0 comments

Show HN: Source code graphRAG for Java/Kotlin development based on jQAssistant

https://github.com/2015xli/jqassistant-graph-rag
1•artigent•41m ago•0 comments

Python Only Has One Real Competitor

https://mccue.dev/pages/2-6-26-python-competitor
4•dragandj•43m ago•0 comments

Tmux to Zellij (and Back)

https://www.mauriciopoppe.com/notes/tmux-to-zellij/
1•maurizzzio•43m ago•1 comments

Ask HN: How are you using specialized agents to accelerate your work?

1•otterley•45m ago•0 comments

Passing user_id through 6 services? OTel Baggage fixes this

https://signoz.io/blog/otel-baggage/
1•pranay01•45m ago•0 comments

DavMail Pop/IMAP/SMTP/Caldav/Carddav/LDAP Exchange Gateway

https://davmail.sourceforge.net/
1•todsacerdoti•46m ago•0 comments

Visual data modelling in the browser (open source)

https://github.com/sqlmodel/sqlmodel
1•Sean766•48m ago•0 comments

Show HN: Tharos – CLI to find and autofix security bugs using local LLMs

https://github.com/chinonsochikelue/tharos
1•fluantix•49m ago•0 comments

Oddly Simple GUI Programs

https://simonsafar.com/2024/win32_lights/
1•MaximilianEmel•49m ago•0 comments

The New Playbook for Leaders [pdf]

https://www.ibli.com/IBLI%20OnePagers%20The%20Plays%20Summarized.pdf
1•mooreds•49m ago•1 comments
Open in hackernews

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

5•genovalente•8mo 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•8mo 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.