
SimplestAPI: Make your Lovable app actually save data
SimplestAPI:为 AI 应用添加数据存储和登录,无需数据库设置。
@MuratOnX · X
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SimplestAPI:为 AI 应用添加数据存储和登录,无需数据库设置。
@MuratOnX · X

计算应用栈何时超出AI、托管、数据库等免费层。
@K_dev001 · X
Vibe coding makes launching an app almost free. Running it is another story. I built to calculate your full AI + app stack costs and show which free tier breaks first. Sourced pricing. No signup. No guessing. ->

对比700+ Azure虚拟机在各地区的实时定价。
@honitec · X
做了一个每天自动刷新的模型定价 API 替代 LiteLLM,每天拉最新的推理定价 为什么需要「每天」? 因为 AI 模型价格一周一变 3月 $8/M → 6 月 $3/M,半年跌了一半多 半年前到处喊 GPU 短缺 现在全员降价抢客户 估值故事讲的是稀缺 现实是价格比成本跌得快 这中间的落差,就是泡沫

WinkScope用AI在数分钟内为承包商编写估算、标价材料和生成投标。
@WinkScope · X
Spending hours in writing estimates and then juggling between multiple apps to see the complete picture? We are here for you ;)

对比不同Agent Harness策略的成本,基于缓存和上下文计费。
taosx · HN
I created a simulation for coding harnesses based on my own pi sessions. When taking into account all factors, DS-v4-Pro is cheaper than gpt-5.6-luna due to caching. Look at the bill segments difference for cache read cost and uncached cost between deepseek and the other models. At this point is cheaper to use ds-v4-pro than the luna models from openai. ignore the numbers except the classic and keep in mind that classic is based on pi with the only change limiting tool output to 10kb https://har

压缩提示词并检测重复工具调用,降低LLM代币成本
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache

查找与您硬件兼容的AI模型并查看性能和价格估计。
cdnsteve · HN
Tokenstead, find AI models for your hardware

Hire a fully managed AI worker that is provisioned instantly. OpenClaw, its LLM subscription, email, phone number, website, domain, and hosting are included. No setup fee. Calgary.
@theHumanFlag · X

在不同AI模型之间路由API调用,优化成本和可靠性。
@RunPei83973 · X
Claude Code users: Did you know API routing can significantly reduce AI costs? We built VIAPI to test different AI routes: Budget → lower cost Stable → production Pro → high availability

The unified interface for every AI model. Starts from Rp 10.000 ($0.60 USDT) with non-expiring balance. Pay only for what you actually use.
@gutsai_id · X
Built GutsAI: a unified AI API for developers with 30+ models (GPT, Claude, Kimi, GLM, and more), OpenAI & Anthropic compatibility, non-expiring PAYG starting at $0.60. Give it a try:

Access the best AI models for AI chat, video, image, and music in one API. Get a free API key, stable performance, and pricing lower than Replicate.
@bonduelleioat · X
YOU CAN STOP PAYING $30–100+ EVERY MONTH FOR AI VIDEO GENERATION. Expensive subscriptions like Higgsfield can be replaced with a local agent built on Claude Code + the generation aggregator, allowing you to create viral faceless vertical videos for around $0.75 per video - with no monthly subscription and no credits that expire. The system follows a simple principle: you only pay for the result. A specialized /generate skill automatically selects the cheapest model for generating the base asset, tracks spending through an internal ledger, checks aspect ratios before animation, and sends the finished content to Blotato via MCP for multi-platform distribution. Instead of paying for an expensive AI subscription, you essentially get your own mini content factory that creates videos whenever you need them. And the most interesting part: $0 subscription. ~$0.75 per finished video. Zero wasted credits. This is how AI is moving from “pay for access” to “pay only for the

通过透明代理监控 Anthropic 和 OpenAI API 的每次请求 token 用量、成本和会话树。
u/Prestige_pvp · Reddit
Simple AI Token Profiler / Debugger We made a simple profiler to help optimize AI token spend. Generally speaking anytime you want to optimize your app, whether it's for memory or otherwise you typically start with a profiler. There are a ton of MiTM Gateways but there aren't many true profilers, so I thought I'd make one. https://profiler.getrekon.com/ Let me know what you think :) submitted by /u/Prestige_pvp to r/SideProject [link] [comments]