@kylekane · X

u/ahmedk2002 · Reddit

I built a real-time LLM API pricing comparator — because I was tired of not knowing the actual cost difference between models I use LLMs daily at work and kept running into the same frustration: provider pricing pages give you raw numbers per million tokens, but no way to understand what that actually means for your specific use case. Is GPT-4o really that much more expensive than Claude Sonnet for 10k requests per day? What about DeepSeek vs Gemini Flash for high-volume summarization? I

@Mileson07 · X

今天Codex、Claude Code 重置了吗？ 我做了一个追踪的网站，每小时追踪 Tibo、Boris Cherny 两位主理人，以及对应的官方推特账号， 快速了解到，有没有可能重置，最近是不是已经重置了 而且还能详细看到历史的重置情况，分析未来的重置可能性，过去两周真是疯狂的重置～

u/Limp-Upstairs6798 · Reddit

People don't want another productivity app I've been building an AI personal assistant that lives entirely inside WhatsApp. Instead of asking people to download yet another productivity app, create an account and learn a new interface, they can simply send a message like they normally would. For example: - "Remind me to pay rent next Friday." - "I spent $28 on groceries." - "Remember my passport is in the top drawer." - "Add milk and eggs to my shopping list." - "Share this shop

ds246 · HN

Spendict – a performance marketer's verdict for AI agents, over MCP

@SigVestAI · X

u/Ejboustany · Reddit

Knowing your build cost from a tokens formula The bigger the feature you are building, the more tokens you spend and how you can calculate the total cost of your build. You will also spend even more tokens making that feature proper and production ready. Say you want users to sign up, log in, verify their email and reset a forgotten password. Built properly it runs around 400,000 tokens. The formula I thought of is: tokens x $1,500 / 1,000,000 = price So those 400,000 tokens come ou

@tauro2585 · X

All your finances in a single clear platform.