AI App Cost Savings Video Series
Practical patterns for reducing LLM costs in production apps
AI App Cost Savings Video Series launched on April 30, 2026 with 2 votes, #4,561 of 21,248 launches that month.
What it does
Watch a practical developer-focused video series on reducing LLM costs in production AI apps without making products slower or weaker. The first batch covers six cost leaks: wrong model choice, duplicate calls, oversized context, broken prompt caching, unnecessary reasoning, and real-time calls that could be batched. Treat AI cost control as engineering, not a billing surprise.
Watch a practical developer-focused video series on reducing LLM costs in production AI applications without making products slower or weaker.
Practical engineering patterns for reducing LLM costs in production apps. AI features are getting easier to build, but harder to operate profitably. Once you move beyond a prototype, every model choice, repeated request, oversized context window, retry, tool definition, test run, reasoning setting, and real-time call can quietly turn into margin leakage. Most AI cost problems are not just model pricing problems. They come from engineering choices that compound as usage grows. Watch the first batch of videos and start applying practical cost controls to prompts, model routing, duplicate request handling, context management, caching strategy, reasoning settings, and batch workflows. Every…from usagetap.com
Does a similar job
all alternatives →

Argmin AIJul 2026 · argminai.com · ▲32Hey, HN community! We've built Argmin AI after shipping LLM features where the demo worked, then the bill and latency got unpredictable in production. Prompts expanded, context grew, retrieval got noisy, retries appeared, and agent workflows added loops. Argmin AI optimizes LLM-related expenses as a system: 1. prompt and context efficiency 2. model selection and routing 3. RAG inefficiencies and caching opportunities 4. agent workflows (tool calls, retries, loop control) Changes are validated with evals and guardrails (tests, gates, judges), tailored to your quality definition and goals.…
TrueLLM Cost SimulatorJun 2026 · model-comp-rosy.vercel.app · ▲5Simulate LLM costs for cascades, caching, & agent loops


More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 22d ago · stillwet.art

FastRouter.ai▲364Route requests to the right LLM for cost, latency & quality
AI · 23d ago · fastrouter.ai
Source: Product Hunt launch ↗
Launched alongside, April 2026
the whole month →
- AG
Thought the resources for GPU arch were lacking, so here we are
Life & fun · Apr 2026 · jaso1024.com

Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
AI · Apr 2026 · github.com


I made a laptop stand out of solid concrete, in the style of brutalist architecture, with themes of urbex and urban decay
Life & fun · Apr 2026 · sam-burns.com

With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
AI · Apr 2026 · text.blogosphere.app