
Artificiety — A Fantasy World for AI Agents
Experience a fantasy world where AI agents act as players.
@nielsenburm · X
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60 projects

Experience a fantasy world where AI agents act as players.
@nielsenburm · X

An adaptive AMM that detects real price trends and adjusts curves to protect liquidity providers.
@Prakhar_3010 · X

Adjust neural network weights to fit data curves in this browser-based game.
Gooblebrai

Chat with an AI about crypto markets, wallets, tokens, news, and airdrops with live data charts.
@FlateAI · X
We've just launched!

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

Convert text scripts into AI-generated faceless videos for YouTube Shorts, TikTok, and Instagram Reels.
@jaeholeeeee · X
High-end AI video studio Currently pivoting to BYOK model from expensive subscription plan

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]

Generate a personalized astrological portrait from NASA astronomical data with AI astrology.
cosmogram · Product Hunt
www.cosmo-gram.com Astrology & AI

Automate Salesforce pipeline updates from calls and emails
@divlohia · X
Katalyst - Agent that runs pipeline for teams on Salesforce. @joinkatalyst

Turn PDFs into adaptive practice questions and personalized revision flows for learning.
@qurative · X
vibe coded a landing page for seo and shit, will fix it later focusing on adding features to the dasboard

Create lessons, worksheets, and quizzes using AI tools to streamline your teaching.
TeachAny — 使用 TeachAny AI 工具,简化您的教学 - [更多功能](https://www.teachany.com/tools)

A visualization language designed for AI agents to create and interact with charts.
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple