The Builder

Open-source memory layer that teaches AI agents to remember and learn

“The 28 MCP tools are the right abstraction level — my Claude Desktop agents can now actually remember what I've told them across sessions without me writing my own memory layer. The Docker Compose setup is clean and the pgvector backend is production-ready.”

A true 1-bit 8B LLM that fits in 1.15 GB — runs on your iPhone

“131 tokens/sec on M4 Pro at 1.15 GB is genuinely impressive — I can embed this in a macOS app without any cloud dependency, no rate limits, no privacy concerns. The Apache 2.0 license means I can ship commercial products on top of it. This is the edge AI story I've been waiting for.”

WiFi-based AI pose detection and vitals monitoring — no cameras

“ESP32 at $9 for the capture layer with Python handling inference is a sensible hardware/software split. The multi-person tracking and fall detection make this immediately deployable for elder care or smart building occupancy. I'd want to see benchmark numbers across different home layouts and WiFi router brands before shipping it in a product, but the architecture is sound.”

Idle Macs become a decentralized AI inference network — 70% cheaper

“An OpenAI-compatible API that drops straight into my existing stack and costs 70% less? I'm already testing this. The end-to-end encryption story is compelling for privacy-sensitive workloads — finally an alternative to praying the big labs don't log your prompts.”

Deploy and distribute AI apps and MCP servers from one platform

“The MCP server distribution problem is real — right now finding and deploying reliable MCP servers is a mess of GitHub repos and npm packages with zero quality signal. Alpic's registry and hosting combination is the right shape of solution. The Skybridge open-source framework means I'm not locked in, just using them for distribution.”

Open-source micro VMs for running AI agents, browser tasks, and computer-use workflows

“Sub-200ms fork time is the headline number, and it holds up in testing. The snapshot/restore support is what makes this special — being able to checkpoint an agent mid-task and retry from that point without re-running expensive setup steps saves real money on long agentic workflows.”

The GitHub of machine learning — models, datasets, and Spaces

“If you work with ML models, Hugging Face is non-negotiable. The Transformers library, model hub, and inference API cover the entire ML workflow.”

Build with Claude API — prompt engineering, evaluation, and deployment

“The Workbench is the best prompt engineering environment available. Test prompts, compare models, and see token counts in real-time. Essential for any Claude API project.”

Containerize anything — the standard for packaging and deploying apps

“Docker is infrastructure. Every modern deployment pipeline uses it. The AI features in Docker Desktop are helpful for debugging but the core value is containerization itself.”

Run open-source AI models with one API call

“The easiest way to run open-source models without managing infrastructure. One API call to run Llama, Whisper, or any custom model. Cold starts can be slow though.”

Fastest LLM inference — custom silicon for instant responses

“The speed is mind-blowing. 500+ tokens/sec makes LLM responses feel instant. For latency-sensitive applications — autocomplete, real-time chat — nothing else comes close.”

Fast inference for open-source LLMs at low cost

“Cheapest way to run Llama and Mistral models in production. The inference speed is competitive with major providers. OpenAI-compatible API makes switching easy.”

GPT API, Assistants, fine-tuning, and the playground

“The most mature AI developer platform. Assistants API, function calling, and the Playground are all well-designed. Documentation is extensive.”

Deploy app servers close to your users globally

“For apps that need full server control — WebSocket servers, background workers, AI inference — Fly.io gives you the flexibility that serverless platforms don't.”

Edge computing at 300+ locations worldwide

“The free tier is absurdly generous and the cold starts are essentially zero. For APIs, middleware, and edge logic, nothing else gives you this performance at this price.”

Serverless Redis and Kafka — per-request pricing

“The per-request pricing model is perfect for side projects — you literally pay nothing until you have traffic. Redis commands at $0.2/100K is incredibly cheap.”

Payment infrastructure with AI-powered fraud detection and revenue tools

“The API design is a masterclass. Documentation is the best in the industry. If you're building anything that takes payments, Stripe is the default choice and for good reason.”

Open-source Firebase alternative with Postgres, auth, and AI

“Auth, database, storage, edge functions, and vector search in one platform. For side projects and MVPs, Supabase eliminates the need for 5 different services.”

Email API for developers — beautiful emails, simple API

“The API is clean, the React Email integration is brilliant, and deliverability is excellent. Replaced SendGrid in 20 minutes and never looked back.”

Frontend cloud platform — deploy Next.js and more with zero config

“The deployment experience is unmatched. Git push → preview URL → merge → production. AI Gateway is a smart addition — route between AI providers without changing code.”

Serverless Postgres with branching and instant scaling

“Database branching is a killer feature — branch your DB for every PR, test with real data, merge back. Transformed how we handle database migrations.”

Fast serving framework for LLMs

“RadixAttention and constrained decoding are powerful features. Performance benchmarks are competitive with vLLM.”

Run AI models on Cloudflare's network

“AI inference at the edge with Workers integration. Low latency and the free tier is useful for prototyping.”

Fully managed foundation model service

“Claude on Bedrock with VPC endpoints and IAM auth is the enterprise standard. Knowledge Bases for RAG are production-ready.”

High-throughput LLM serving engine

“PagedAttention is a breakthrough for inference efficiency. The standard for production self-hosted LLM serving.”

Sandboxed cloud environments for AI agents

“150ms cold starts for sandboxed code execution. Essential for AI agents that need to run untrusted code safely.”

Hugging Face text generation inference

“Tight Hugging Face integration means easy model loading. Rust implementation provides good performance guarantees.”

Fastest inference for open and custom models

“Fastest Mixtral and Llama inference. The function calling implementation is more reliable than most providers.”

Serverless cloud for AI and data

“The best DX for serverless GPU compute. Decorate a function, it runs on cloud GPUs. Caching and volumes just work.”

Open-source self-hosting platform

“Heroku DX on your own infrastructure. Docker-based deploys, SSL, and monitoring without cloud vendor lock-in.”

Remote container builds for CI

“Docker builds that take 10 minutes in CI complete in 30 seconds on Depot. The speed improvement is dramatic.”

Serverless GPU inference

“Fastest Stable Diffusion and Flux inference. Sub-second cold starts make real-time image generation practical.”

Observability for serverless

“Serverless-specific observability that understood Lambda, Workers, and Vercel. Now part of Cloudflare's platform.”

Self-hosted monitoring tool

“Beautiful self-hosted uptime monitoring. Setup takes 5 minutes with Docker. Status pages included.”

Serverless JavaScript at the edge

“Deploy Deno apps globally with zero config. The built-in KV store and BroadcastChannel are useful primitives.”

Google Cloud's ML platform

“Model Garden gives you access to every major model with enterprise security. Feature Store and pipelines are production-grade.”

Build modern full-stack apps on AWS

“The best way to use AWS. Live Lambda debugging, simple configuration, and the migration to Ion (Pulumi-based) is smart.”

Log management and observability

“Unlimited log ingestion changes how you think about logging. No more deciding what to keep. Query everything.”

Deploy apps and databases instantly

“Best DX for deployment. `railway up` and you're live. Databases, cron, and private networking just work.”

Scalable AI compute platform

“If you need distributed AI compute, Ray + Anyscale is the standard. Training and serving at any scale.”

Observability framework for cloud-native software

“The standard for observability instrumentation. Auto-instrument once, send to any backend — Datadog, Grafana, Honeycomb.”

Cloud hosting for developers

“Solid Heroku alternative with better pricing. Auto-deploy from Git, managed Postgres, and Redis without the complexity.”

Microsoft's AI services platform

“Azure OpenAI Service gives you GPT-4 with enterprise SLAs, content filtering, and VNet integration. Production-ready.”

Infrastructure as code in any programming language

“Write IaC in TypeScript with full IDE support, loops, conditionals, and testing. No DSL to learn.”

GPU-optimized AI software catalog

“GPU-optimized containers for every AI framework. TensorRT for inference optimization is essential for production.”

Deploy app servers close to your users

“Run any Docker container globally with `fly launch`. The Machines API for programmatic VM creation is uniquely powerful.”

Observability for distributed systems

“BubbleUp for finding anomalies in high-cardinality data is genuinely innovative. Best for debugging distributed systems.”

Cloud-native reverse proxy and load balancer

“Auto-discovers services from Docker labels or K8s ingress. Dynamic configuration without reloads is the killer feature.”

The ultimate server with automatic HTTPS

“Automatic HTTPS and the Caddyfile syntax make web server config trivial. Reverse proxy setup is one line.”

Serverless compute on AWS

“The serverless standard. Event sources, layers, and container image support cover every use case.”

Web development platform for the modern web

“Git-based deploys, serverless functions, and the Edge network are solid. Great for static and JAMstack sites.”

Infrastructure as code for any cloud

“The lingua franca of infrastructure as code. Provider ecosystem covers every cloud service imaginable.”

Container orchestration at scale

“The standard for production container orchestration. Managed K8s (EKS, GKE, AKS) removes most operational burden.”

Open-source observability and dashboarding

“The dashboard ecosystem is unmatched. Prometheus + Grafana is the standard stack for infrastructure monitoring.”

Google's app development platform

“Authentication, Firestore, and Cloud Functions get you from zero to production fast. The free tier is generous.”

Open-source monitoring and alerting

“The standard for metrics. PromQL is powerful, the ecosystem is massive, and it pairs perfectly with Grafana.”

Application monitoring and error tracking

“Essential for any production app. Source maps, breadcrumbs, and release tracking make debugging 10x faster.”

Cloud infrastructure for developers

“Best documentation in cloud computing. Tutorials alone make it worth recommending. Simple, predictable pricing.”

Cloud monitoring and security platform

“Best-in-class observability. APM, logs, and metrics in one place with excellent correlation. Worth every penny for production systems.”

Affordable European cloud hosting

“4x the compute per dollar compared to AWS. European data centers for GDPR compliance. The best value in cloud computing.”