金融商业1 month ago
AlphaMetric
用AI驱动的投资工具分析股票,包括DCF模型和选股器。
@StephanInvests · X
Building a financial saas at the lowest price for people to put more towards their financial goals
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用AI驱动的投资工具分析股票,包括DCF模型和选股器。
@StephanInvests · X
Building a financial saas at the lowest price for people to put more towards their financial goals
通过数据源变换和建模创建数据仪表板和分析产品。
u/Lopsided_Working2023 · Reddit
I built a product that's like Lovable, but for data apps Hi all, I started a personal project just out of curiosity. The goal was to build an app that: Ingests from datasources to our platform Transforms Models Creates dashboards or other data products Refreshes the whole thing on picked schedule From a single, or a few, user prompts. The idea arose because I've noticed that agents are making LEAPS of progress at data engineering and analytics in a short time
使用开源浏览器工具分析象棋游戏，获得自然语言解释，无需登录。
u/ICARUS_2X · Reddit
Spent 7 months building a FOSS platform for natural-language chess analytics (No LLM) Hey guys, I've released CHONSE2, an open-source game review platform that offers unlimited analysis and move explanations without using hallucination-prone LLMs, running entirely in your browser. chonse2.com But Lichess is free, so why use this? Some have asked. It expands on Lichess's feature set a few different ways: Full analysis (accuracy/elo estimations/eval graphs, etc) requir
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
在OpenVibeEval中对比不同AI模型生成前端代码和可访问性评分。
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •
Semfora: 分析代码库结构找出代码变更的风险
u/jeremyStover · Reddit
My second paying customer bought a full year subscription. I have mentioned https://semfora.ai before, here and there on Reddit. I haven't talked much about what it really provides. I was hoping to drive up some organic traffic, from people that had the motivation to dig past the beta. Stupid idea, but now that we have passed pen tests and hit the minimum requirements check list for security audits, (see other threads about that) we opened up the beta to everyone. Two days after that(
搜索、筛选和管理项目，查看内置分析。
@Aaronm5vpi · X
Check out what I just built with Lovable!
用AI分析简历、筛选候选人、识别技能差距并生成面试问题的工具。
@HireXhub · X
上传论文和科研项目，识别方法论漏洞、论证薄弱和引文缺陷。
@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：
在统一仪表板上查看性能积分、预估评分和增长差距。
@DiyaVijay6 · X
Check out what I just built with Lovable!
用CompetitorSearch描述竞争对手，获得实时网络搜索的并排分析和档案。
@Wagner__kent · X
Good day Gainframe, built CompetitorSearch — describe your competitors, get a live web-searched side-by-side breakdown + full dossier on each. Selling it outright (Mistral+Tavily+Vercel, 156 visits/19 searches/10 users). Happy to walk you through it.
分析睡眠习惯和时间问题，获得改善睡眠的个性化建议。
@moretoblix · X
If you have sleep problems this might help 100% behavior based solution