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We Ship Your MVP in 7 Days. Fixed Price. Production-Ready.
PostgreSQL isn't just a relational database — it's a data platform powerful enough to anchor a pipeline processing millions of records daily. This guide walks you through the complete stack: schema design, orchestration, concurrency, monitoring, and production best practices.
While OpenAI pours billions into scaling laws, a small group of scientists is building AGI on a completely different architecture — combining symbolic logic, probabilistic networks, and evolutionary algorithms. This is the most honest technical analysis of OpenCog Hyperon, the ASI Alliance drama, and who is really closer to AGI.
MVP cost isn't a single number — it's four completely independent cost groups. This breakdown covers every dollar: from $8.50/month AWS EC2 to $2.49/hour A100 GPU, from $0.0006/session GPT-4o mini to cutting AI API costs by 90% with open source models and smart routing.
Most startups don't die from bad ideas — they die from building the right thing wrong: too much, too soon. This deep-dive reveals every death mechanism behind the "full product" trap and why the builder mindset always ships first and perfects later.
Most startups over-engineer their data stack and waste $2,000–$5,000/month before they need it. A hands-on guide to building a production data pipeline with n8n + Postgres + AI — with correct schema design, idempotent workflows, and automatic AI analysis for $0/month.
Clawdbot is smart because it reads your full workspace on every API call — but that same mechanism, combined with 30-minute heartbeats and a growing workspace, silently inflates your bill. Here's how to monitor and control it with a self-built /billing dashboard in under 5 minutes.
Build a fully automated AI Video Factory with RTX 3090/4090, ComfyUI, Ollama, and n8n — apply TeaCache for 2-3x faster renders and Hybrid Rendering to produce 20+ high-quality videos per day.
Learn why Qwen2.5-Coder-32B surpasses GPT-4o on HumanEval with 92.7%, how its 151K token vocabulary handles Vietnamese better than any other open-source model, and how to build complete AI Agent workflows with tool calling and structured output.
Discover why Llama 3.3 70B beats Llama 3.1 405B on MATH and IFEval benchmarks, how to deploy with vLLM speculative decoding for 2.5× speedup, and fine-tune LoRA for your domain with just one A100 80GB.
DeepSeek isn't just 18× cheaper than GPT-4o — it's built on fundamentally different architecture. Learn how MLA eliminates the KV cache bottleneck, how DeepSeekMoE achieves 685B quality at 37B inference cost, and why R1 is the first open-source reasoning model to genuinely match OpenAI's o1.
Want to run AI locally without depending on OpenAI? DeepSeek V3, Meta Llama 3.3, and Alibaba Qwen 2.5 are leading the self-hosted LLM race. Here's the complete landscape to help you pick the right model — from hardware requirements to real-world use cases.
Want to let someone SSH into your machine for remote support without exposing port 22 to the internet? This guide gets Tailscale running on Ubuntu in 5 minutes — no networking knowledge required.
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