其他6 days ago
ResearchHub AI
Generate AI-powered research topics, objectives, abstracts, methodologies and project materials.
@UdungeriPhymba1 · X
完整作品展
技术栈
60 projects
Generate AI-powered research topics, objectives, abstracts, methodologies and project materials.
@UdungeriPhymba1 · X
AI实验室交互式地图，按估值、地域和研究方向可视化展示。
polyphilz · HN
Neolabs.fyi – 100 new AI labs by research area, valuation, and more
LLM API支出分析仪表板，按模型和环境分类，含优化建议
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to
查看 AI 生成内容的能源、碳排放和用水影响估算。
daniloedu · HN
Energy, carbon and water estimates for AI content, shown as ranges
@jacobAlswin Point and figure chart US stock https://t.co/LiS8OfbhKj
@neha041187 · X
Point and figure chart US stock
Independent model readings, explicit disagreement, human decision gates, and verifiable research receipts.
@chatmouthai · X
Knotulus：根据创始人行为分析与投资者进行智能匹配
@enoch_fyw · X
MBTI for founders, connect with Investors the fun way!
记录交易、追踪权益曲线和性能的交易日志应用。
@NimraWeb3 · X
So I vibe coded my own with Lovable TradeBook. Log trades w/ session, killzone, model, grade, R:R + screenshots, track multiple accounts, get a real dashboard (equity curve, win streaks, pair/session breakdowns). Demo: GitHub:
查看 Kalshi 和 Polymarket 预测市场的 ML 模型预测和性能指标。
@precisionalgo · X
上传论文或项目材料，通过AI分析发现方法重合、薄弱论证和引用缺陷。
@Havey1001 · X
公共数据被研究得多，并不等于没有创新。更关键的是问题设定、识别策略、机制解释，以及同类结论和引用证据链是否已被覆盖。投稿前先系统比对公开论文、专利和既有技术路线，能少走不少弯路。我们做了一个投稿前风险预审工具，专门把这些重合与薄弱点提前摊开：
从想法、CSV或Excel数据生成LinkedIn信息图和图表。
@manthornelabs · X
We make LinkedIn graphics for B2B founders
探索AI协作开发的数学框架，进行高级微积分计算与验证。
@ErnestPresident · X
I know how to code Sun Yi so I vibe coded a multi layers math pipeline + multi layer verifier pipeline that do advanced calculus, I must do something wrong then.