
Repodar — Real-time GitHub AI Ecosystem Radar
Track trending AI/ML repositories on GitHub with real-time alerts and commit analytics.
@g_saikumar_ · X
Real-time GitHub intelligence for developers, founders, and open-source enthusiasts.
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60 projects

Track trending AI/ML repositories on GitHub with real-time alerts and commit analytics.
@g_saikumar_ · X
Real-time GitHub intelligence for developers, founders, and open-source enthusiasts.

Ask questions to get visual answers as tables, charts, and flows instead of text.
@butmatthew17 · X
just check it out completely for free

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

Track your investment portfolio across equities, REITs, ETFs and crypto, with dividend forecasts and rebalancing suggestions.
@silverw_dot_ing · X

Generate relational synthetic test data with exact outcomes.
@RasinMuhammedX · X
Declarative Synthetic Data Generation.

Stock analysis and portfolio tracking tool built with AI.
@jrmandell · X
Completely agree - I vibe coded my own: Check it out - would love user feedback!

@joovier_ https://t.co/keG2Rl4hD4 data analysis app. Check out
@MourynCher16712 · X
data analysis app. Check out

Live chat widget with AI replies and visitor analytics for SaaS support.
u/visionsrb · Reddit
I left my job to build my SaaS, but now I’m the one who needs support Two months ago, I left my job to work full-time on tkit.ai , a customer support widget with live chat. I was excited and motivated when I started, but lately I’ve been feeling stuck, overwhelmed, and honestly a little depressed. It’s ironic that I’m building a tool to help businesses support their customers, while right now I feel like I’m the one who needs support. I’m struggling to know what to focus on next, whether

Ingest, explore, and analyze datasets with autonomous data processing in an interactive workspace.
@kashyap_ai · X

Share PDFs and documents as secure links while tracking who viewed each page.
@adhikari_premi · X

Sports betting analytics with +EV fair-value checks, projections, and bet tracking.
u/sweetnessssss · Reddit
Nine months ago I quit my data science job to build an app. The app is still hungry. Nine months ago I left a comfortable data science job at a travel company to build a sports betting app. Comfortable is and odd word for a job - it means the money arrives on schedule and nobody in your family asks if you're okay. The app is called THE LINEUP ( https://thelineup.pro/ ) -- it does the unromantic parts of betting: comparing prices, working with projections and tracking what happened afterwar

Create presentation slides from plain text and broadcast live to phones in the room in 30 seconds.
@danielberigoi · X
Type plain text, get a clean deck in 30 seconds, broadcast it live to every phone in the room