
Preflight - Launch security checks for AI-built SaaS apps
为GitHub仓库运行安全审计,检测密钥泄露、认证问题和部署漏洞。
@emanueldev4 · X
Building Preflight a simple way to catch issues before your website goes live.
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为GitHub仓库运行安全审计,检测密钥泄露、认证问题和部署漏洞。
@emanueldev4 · X
Building Preflight a simple way to catch issues before your website goes live.

@launch_llama An movie platform https://t.co/WnbiDZbHH8 https://t.co/LWyGNRUUFD
@Kelvinwz5lma · X
An movie platform

显示您在Claude Code、Codex、Cursor等编码工具中的AI令牌使用情况的排行榜。
SYeomans · HN
TokenMaxxer – track every AI token you spend across your coding tools

为LLM输出提供token级引文API,通过注意力分析验证。
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention

与他人协作构建和启动应用的平台。
@andre_shifu · X
Start creating your app with

自动填充Product Hunt、Peerlist等平台的产品发布提交表单的Chrome扩展。
@benvspak · X

Solana猫咪主题加密应用
@adriannb666 · X
我是真的很喜欢这只小猫 奈何不会做宣传 自己花了2个SOL买 然后又被一堆要做宣传的人骗了0.8个SOL… 我甚至做了一个网站呢! 大家如果能支持一下就好了~ HNS9Z6bqqdZzyv2iwFDzTXRmTvhVMV3KVh8t8tFfpump


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

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]

在Solana上买卖基于地理位置的NFT收藏品。
@MyGeoTokens · X
- location based collectibles

根据AI代币获取应用开发成本估计和可视化构建计划。
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