
Runtime Riot - Automated Runtime Security Scanning
Automatically scan your website for runtime security vulnerabilities.
@runtimeriot · X
Scan your site for security vulnerabilities.
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Automatically scan your website for runtime security vulnerabilities.
@runtimeriot · X
Scan your site for security vulnerabilities.

Create any contract in 60 seconds and get AI risk analysis before signing.
@Gaurav_dev01 · X

Analytics platform for tokenized real-world assets across blockchains.
@Yumiweb3_ · X
Solana,可能正在迎来下一轮活跃期。但这一次的变化,可能不只是靠 Meme 带热度。 最近 Solana 生态出现了几个比较明显的信号:RWA、代币化股票、Meme 市场同时回暖,再加上治理机制升级,整个生态正在重新恢复活力。 先看 RWA 根据 数据,截至7月3日,Solana 链上 RWA 持有钱包数量已经超过29.3万个,占全网约31%,排名第一。 同时,Solana 链上的 RWA 资产数量达到2119个,也是所有公链中最高。 不过,单看资产规模,Solana 还没有追上 Ethereum。目前 Solana 链上 RWA 总价值约35.5亿美元,和以太坊相比仍有差距。 但资金流向已经释放出信号。过去30天,Solana 链上 RWA 净流入超过10亿美元,明显领先多个主流公链。这说明市场资金正在关注 Solana 的资产上链机会。 其中,最明显的推动力来自代币化股票。以前大家提 RWA,更多想到的是债券、房地产等传统资产。但现在,一个新的方向正在出现:把美股股票搬到链上。 目前,代币化资产已经占 Solana 现货周交易量约10%,而年初这个比例只有1%。Solana 上代币化股票周交易量更是突破14亿美元,占整个代币化股票市场约96%。 背后的重要推动者,就是近期进入市场的代币化股票平台。例如 Backpack 推出的代币化股票产品,其中 SPCX、MU 等资产贡献了 Solana 链上大量交易量。 这意味着,Solana 正在从单纯的 Meme 交易链,逐渐变成一个承载更多金融资产的交易网络。当然,Solana 最熟悉的 Meme 市场,也正在恢复热度。 近期 ANSEM Meme 币的爆发,再次点燃了链上交易情绪。虽然 Meme 的周期性很强,但它带来的资金活跃度是非常直接的。 等平台的数据也显示,近期新币发行和交易量明显回升。Axiom、Phantom、GMGN 等 Solana 生态工具的收入,也出现今年以来的新高。 市场重新开始交易,开发者重新开始发币,用户重新开始参与。 除了市场层面,Solana 自身也在推进治理升级。 7月2日,Solana 基金会上线了新的链上治理机制 SGP。 过去 Solana 的协议升级,主要依赖开发者提交 SIMD

Scan crypto tokens for risk analysis using AI-powered detection from screenshots.
@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]

Create immutable, SHA-256 certified records of your documents.
@BogachyovvA · X
A web app for protecting your documents, files, etc. using hashing. I am also looking for CEOs of companies for cooperation.

@launch_llama Just working on myself :) text me: https://t.co/33nmIh4ZNU
@textluxhq · X
Just working on myself :) text me:


Autonomous AI agent trading cryptocurrency on-chain 24/7 on bot.fun.
@SyAzCrypto1 · X
Just launched my first autonomous agent on deployed my first autonomous trading agent today 🤖 not a shill, to find out if this stuff actually works or if it's just AI hype with a wallet attached it's on @botfunHQ running 24/7, making small conservative trades on its own while I just watch no manual input, no me pulling levers. real money, real market, real PnL the whole space is agents launching coins, trading bonding curves, even shilling each other on-chain. half experiment, half circus I want to see what it does when I'm not touching it, will it find edge or does it just slowly bleed out like most bots letting it run a few days and I'll post what actually happens. good or bad, building in public means showing the losses too

Analyze Hacker News profiles with your own LLM API key, fully client-side.
Topfi · HN
Like everyone on HN, I love nothing more than to (re)read my own comments. Getting my intuition that I am among the smartest, most humble, highest quality commenters on here confirmed by an LLM so capable that the US government had to temporarily export restrict it [0] seemed only natural. Having had my perfection confirmed, I decided to share this joy with you as I had a few percent usage left before a reset. I took a few prompts, then did a review of the output which resulted in Selbstbild, a BYOK (Anthropic / OpenRouter) web app that gives you a summary and assessment of your public comments by one of our machine Gods, including Fable 5 (provided your can afford that luxury at API pricing). In all seriousness, I have, for a long time, used my own comments on social media (including HN) as part of a personal needle-in-haystack test, simply because I do know my somewhat peculiar style and what I tend to write, but also because I can sometimes write in a slightly confusing manner, ma


Trade and manage digital assets across 30+ blockchain networks
@abhijeethganji1 · X

Compress LLM prompts and docs to reduce token usage and API costs.
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️