Developer Tools4 weeks ago
Axon — the quality & FinOps layer for your AI agents
Grades AI agents' real conversations with an LLM judge, providing A–F scorecards and FinOps analysis.
@tech_maju · X
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Grades AI agents' real conversations with an LLM judge, providing A–F scorecards and FinOps analysis.
@tech_maju · X
Compare LLM API pricing across 450+ routes and calculate real monthly costs with caching and batch pricing factors.
u/Greywolff06 · Reddit
I built LLMPrice — a free calculator for comparing LLM API costs across 450+ pricing routes I kept running into the same problem when comparing LLM APIs: the headline token price doesn't always tell you what your actual workload will cost. Caching, batch pricing, reasoning tokens, retries, different endpoints, and OpenRouter routes can change the result quite a bit. So I built LLMPrice.com. You enter your workload once — requests, input/output tokens, caching, retries, etc. — and it com
Route LLM calls to cost-effective models without sacrificing quality.
george_avila · Product Hunt
IQ Routing Trajectory-aware LLM routing that cuts agent cost
Route your LLM API requests across multiple providers to cut costs and meet latency targets.
Aperswal · HN
Made a Free LLM Router
AI-powered generator that transforms photos and creates videos, music, and 3D content with various effects.
AI Filter — 用 AI 滤镜将你的照片变换为动漫、粘土、3D、像素、表情符号、视频游戏、贴纸等多种滤镜风格
Scale AI search visibility across client portfolios and internal teams with automated content generation, Brand DNA indexing, and LLM tracking across ChatGPT, Perplexity & Gemini.
u/Physical_Champion234 · Reddit
Built an AEO SaaS, would love brutally honest feedback please Hey everyone, I’ve been building Cyted , a SaaS that helps businesses track how often their brand appears in answers from AI tools like ChatGPT, Perplexity, Gemini, Google AI Overviews, Copilot. It’s more than just tracking mentions. Cyted can scan a company’s entire website, identify SEO and AI visibility issues, explain what may be wrong, and suggest ways to fix them. It also helps create blog posts based on those recommenda
Generate AI videos, images, music, and 3D using 100+ top models in one platform.
KKV AI — KKV 是一站式 AI 创作平台，提供视频生成、图像创作、照片编辑、趣味滤镜、AI 聊天助手等功能，无障碍访问 Veo 3、Flux、Claude Opus 4 等 100+ 顶级模型
Compare latency and throughput performance across LLM API providers.
@QAInsights · X
Use one API to access and switch between LLM providers while optimizing inference costs.
justin2025 · Product Hunt
Auriko Trading desk for LLM calls
Test small language models (8M-13M parameters) in your browser that work offline.
u/Live_Confusion_3003 · Reddit
I trained an LLM that runs on an ESP32 and directly in the browser Link to try it out yourself is: topk.sh The models download their weights directly in the browser so it works offline. Keep in mind they are very small and inaccurate. (8M and 13M parameters) However, I am building 500M and 1B+ parameter local models for agent based coding and other purposes. I will be shipping hardware designed for these tasks which connect directly to you computer or other device.
Calculate GPU VRAM requirements for LLM fine-tuning and inference.
@FaiqAdzlan · X
Built a GPU VRAM calculator to try out Claude Code (#cursorfanboy). I wanted it as granular as possible so I based it off of LLMem) which really just covers fine-tuning tbh. Please tear it to shreds: GitHub:
Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]