
AskLedger — Cut your AI spend, and prove the savings are real
扫描AI账单找出浪费支出,用防篡改证据证明节省成本。
@askrashidkhan · X
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扫描AI账单找出浪费支出,用防篡改证据证明节省成本。
@askrashidkhan · X

上传凭证验证,由Hedera区块链保护,按次付费。
@iizhem · X
👏 Shipping before vacation is elite. Good luck with your entry! Claude makes vibe coding way too fun. I joined the same bounty too and turned a simple credential checking idea into a full pay-per-use flow

用对抗测试检查LLM端点安全,获取OWASP审计报告。
@aryaan_sheth · X
- LLM security for small teams

为团队和应用安全管理密钥与环境变量。
@radimhfer · X
i'm founder of Stashbase, designed to help builders

用 Etch 追踪、回放和验证 AI 代理的决策。
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in

扫描GitHub代码库查找安全漏洞,AI提供修复建议。
u/uwais_ish · Reddit
Three weeks to build an AI security scanner. The scanner was the easy part. Shipped RedFlag this month. Breakdown of where the time actually went, because it was nothing like I estimated. Stack: Next.js 16, Auth.js v5, MongoDB, Stripe, OpenAI. Deployed on Vercel. What I thought would be hard: getting an LLM to find real vulnerabilities. What was actually hard: getting it to stop finding fake ones. First working version flagged 200+ issues on a clean repo. Every one plausible, most of th

Mitsumono用AI扫描网站漏洞并快速生成修复建议。
@wraithnet0x · X
Hey developers! I just launched my agentic security scanner. This is not your basic code review that could be replaced by claude code or anything like that. It tests the live application and hand you the fix so you can secure it in time. Website: Demo⬇️

免费的网站安全扫描器,检查 SSL、headers 和合规性,提供即时的信任分数和 AI 指导的修复。
@MrPenetratorTP · X
MrPenetrator helps businesses monitor their website’s trust, security and performance before problems affect their visitors.

在代码合并时强制执行策略并审计AI辅助的更改。
@Scyloq · X
Currently building SentrAI. The merge-time control plane for AI-assisted software development. Enforce policy, audit every AI-generated change. Just finished an interactive demo and would love your honest feedback. Built with @Lovable

通过 crypto token 截图使用 AI-powered 检测进行风险分析
@aidyor33641 · X
is crypto platform. All in one place: *multichain token scanner *OCR-screenshoot to scan *crypto related news feeds *smart contract bug scanner-for devs to clean airdrops of their respective tokens before Cex/Dex contact info: [email protected]

将公司的通话、文档、工单和CRM数据统一为可搜索且验证的记录。
@chaibytesai · X

使用硬件认证和OTP保护GitHub拉取请求。
jallmann · HN
> want without a PR process that requires hardware authentication or proof of presence Just curious, what do you use for this? I built OTP Guard [1] a few years ago for exactly this problem, although I haven't seen any alternatives in the space. Does GitHub have something built-in now? The original framing was more "local malware compromising your GitHub account" ... it never occurred to me that the malware could be a LLM. I really should update the page. [1] https://otpguard.com