Other1 week ago
devthropology
Devthropology – Better Insights for GitHub Repos
dpc94 · HN
Devthropology – Better Insights for GitHub Repos
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Devthropology – Better Insights for GitHub Repos
dpc94 · HN
Devthropology – Better Insights for GitHub Repos
Analyze GitHub pull requests with AI to get a merge confidence score.
@aryawarti_aky · X
Hey Daniel ! I Built PRisk — an AI-powered pull request risk intelligence platform for GitHub & Gitea. Paste a PR URL and get an evidence-backed Merge Confidence Score before you merge. 🔗 I'd love to hear your feedback!
Save bookmarks, videos, and notes in an AI knowledge base that summarizes and connects ideas.
@vhm205 · X
Too many news articles, too many bookmarks, too many notes, but I never open them again because I don't know where to find them
AI-powered retrospectives for IT teams that connect to your tools and identify improvement patterns.
@akadhanu · X
an ai sprint retrospectives for it teams (
Scan receipts to automatically track warranties, file claims, and monitor coverage.
@Keevora_ · X
Likewise. Hi, just shipped this week. Finally reached the stage where Keevora works end-to-end. ✅Scan receipt 📷 Store warranty 📷 Track brand replies & auto revert Live:
AI agent browser extension that performs tasks, researches with citations, and remembers information while you work.
@kurvantHQ · X
Package, share, and compose AI intelligence modules in an open registry.
@ChakreshBuilds · X
Share PDFs and documents as secure links while tracking who viewed each page.
@adhikari_premi · X
Query spreadsheets and datasets with plain-English questions to generate instant answers and reports.
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav
Upload a CAS PDF to get AI portfolio analysis with benchmark comparisons and allocation insights.
@iASHeeesh · X
Embeddable AI chat widget that answers customer support questions using your documentation with cited sources.
@dhruvkumar1805 · X
API to extract tables and structured data from documents for AI agents.
g418572664 · V2EX
做了一个文档解析与记忆工具，专门辅助给传统行业做 AI 落地的老哥 现在 AI+的工作还挺常见的，就像大佬们说的，“所有行业的产品可能都会用 AI 重新做一遍”。最常见的就是各种 agent ，说要用 AI 赋能传统行业啥的，代替人类专家去处理海量的复杂资料、进行深度分析并做出决策。 举个例子，金融行业的“智能审计与尽调 Agent”。 过去，银行或投资机构想要给一家企业贷款或投资，需要人类审计师去读几十份、每份几百页的招股书和财务报表。现在虽然有了 AI ，但把文件一股脑全丢给它是不现实的，且不说烧 token 的问题，这些文档里有无数的跨行、跨列单元格表格，普通工具一拉，表格数据全串行了。如果 AI 把“第一季度利润”和“第二季度支出”的信息碎在一块，那得出的财务分析就完蛋了。 所以，现在要真想开发出一个能干活，还确保正确率的 agent ，就需要一个专业的、AI-native 的解析工具，把复杂的表结构和章节层级完整还原出来。我做的工具 Knowhere 就是干这个的： https://knowhereto.ai/?utm_source=v2ex 它能把复