开发者工具1 month ago
Certus · Safety docs for physical systems
为物理系统生成安全文档和定制化危险分析。
@mokka_abhi · X
Building the safety evidence layer for physical AI so robots, cars, and drones can actually ship.
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60 projects
为物理系统生成安全文档和定制化危险分析。
@mokka_abhi · X
Building the safety evidence layer for physical AI so robots, cars, and drones can actually ship.
Obsessed Trace 游戏数据计算和管理工具
Obsessed Trace Calculator — Stream 游戏 Obsessed Trace 工具网站
用免费计算器和付费方案规划股权、税务及净资产增长。
charleswcho · HN
Continuum – Financial simulations for DIY multimillionaires
为工程AI智能体提供物理模拟和材料基础设施。
white_tiger · HN
Physicsbase.ai Validated Physics for AI
使用 AI 修复受损照片并为黑白图像着色。
PhotoRestore.ai — AI 照片修复工具，支持老照片修复、划痕去除、黑白照片上色与图像增强，上传即可自动修复，无需注册
Grow a Garden Calculator：计算 Roblox 作物价值，应用突变最大化收益。
种植花园计算器 — 使用“种植花园价值计算器”来规划您的 Roblox 作物，应用金色和彩虹等突变，并在每次收获时增加您的 Sheckles。
Use fast calculators and browser-local utilities for AI costs, local hardware, automation, website planning, and everyday decisions.
@Erko95261453 · X
Slay the Spire 2战斗策略优化计算器
Slay the Spire Calculator — Stream 游戏 Slay the Spire 2 工具网站
对比450+个LLM API定价方案，计算实际月度成本，支持缓存和批处理定价。
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
每日推理益智游戏，在8次尝试内推断代码。
Dinjure · HN
Dinjure – Bulls and Cows in one HTML file, with a fallible AI
计算230多个AI API模型的成本并模拟预算影响
ahmed_hassan7 · HN
CostPerPrompt – Live AI API pricing and real-workload cost calculators
分析汽修报价，找到公平价格范围并发现潜在风险。
@Himansh42661941 · X
I built QuoteShield — an early MVP for people who don’t know if their mechanic quote is fair. It gives: ✅ estimated fair price range ✅ red flags ✅ missing details ✅ questions to ask before paying Still testing the idea. Try it here: