
Science-Backed Beauty & Wellness Tools Hub | Hyaluflow
用于分析皮肤类型、水分含量、成分和头发孔隙度的工具。
@Hyaluflow · X
We’re building HyaluFlow 🚀 Free tools like a Skin Type Analyzer, Ingredient Checker & Hydration Calculator. Which tool would you actually use?
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用于分析皮肤类型、水分含量、成分和头发孔隙度的工具。
@Hyaluflow · X
We’re building HyaluFlow 🚀 Free tools like a Skin Type Analyzer, Ingredient Checker & Hydration Calculator. Which tool would you actually use?

在 GitHub 上发现趋势 AI/ML 仓库,包含实时警报和提交热力图。
@g_saikumar_ · X
Real-time GitHub intelligence for developers, founders, and open-source enthusiasts.

Esheria 为非洲市场提供引文支持的法律研究和监管 API。
@nyamabites · X

Devthropology – Better Insights for GitHub Repos
dpc94 · HN
Devthropology – Better Insights for GitHub Repos

为开源项目生成的AI文档wiki,每句话都由代码行引用验证。
u/Comprehensive-Bad-43 · Reddit
I got tired of documentation that lies, so I made docs that have to prove every sentence Founder here! Every codebase I have ever joined had the same problem: the docs describe the code as it was six months ago. Nobody updates them, because updating docs is the least rewarding job in software. So I built RepoFold . You connect a GitHub repo and it generates a full wiki, but with one hard rule: every technical claim has to cite the exact file and line numbers it came from. If the AI can'

为AI应用提供MCP服务器、REST API和行级安全的后端服务平台。
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

将 Gmail、日历、GitHub 和 Figma 整合成一份每日智能摘要。
@CodewithDivine · X
check this out

创建模拟投资组合,进行策略回测和AI市场分析。
策引 — 全球市场技术分析工具,可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能,可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。

Presence Revival: AI伴侣帮你重获存在感,减少数字干扰。
@jasonclarkagain · X
Check out what I just built with Lovable!

使用Python或可视化块构建交易机器人,在真实数据上回测,并在排行榜上竞争。
@CodeBullapp · X
Building CodeBull. A platform where you build trading bots with Python or visual blocks, backtest them on real-world market data, and compete against other users’ strategies. Zero risk. Just learn trading by building.

AI平台分析非洲植物适宜性和生态风险,支持现场决策。
@apicorafrica · X
Yes please, Apicora helps people understand plant suitability, ecological risk, and site-level decisions using structured African plant intelligence.

AI驱动的交易策略研究、回测和自动化平台,无需编码。
u/person-person12 · Reddit
The honest reality: Building more SaaS features can do more harm than good Nine months ago, my SaaS was called WealthLearn . At the time we had built Market Research, Backtesting, AI Tools, TradingView Indicators, Portfolio Analysis, Broker Connections, Automation, Education, and even a separate Futures Application for MacOS/Windows. The problem was that every time I explained the company, I had to list all of those things. Our team understood how everything connected b