
AI Data Analysis Tool | Energent.ai
No-code platform for data analysis and document extraction.
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!
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No-code platform for data analysis and document extraction.
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!

API to extract data from 44 social media platforms through a unified interface.
u/dooddyman · Reddit
I launched 2 SaaS. First failed brutally. Second hit $5k MRR in 3 months. What worked and didn't. tldr: My first AI SaaS failed because I built blindly, outsourced marketing, and had no clear ICP. My second product hit $5k/mo in 3 months because I built an audience first, obsessed over SEO and distribution, and targeted a specific niche. I launched my first AI SaaS last year, kept it alive for about a year now. It's making less than $50 mrr and i'm thinking of closing it. Here's what went

Autonomous AI research engine that generates full academic papers with real citations from a prompt.
@fedeponte1 · X
my first saas. i think i built something people actually want and completely failed at the business side. would genuinely love help. openpaper ( writes full, cited research papers from a prompt. research, outline, writing, real citations, export. the honest numbers: - ~2,300 signups - ~1,500 generated a full paper. people actually use it. - ~5 have ever paid. ~$45/mo. activation is great, revenue is basically zero. i've been staring at this for weeks. the paywall is on export (pay ~$12 to download the pdf). but the full cited paper is right there on screen, free, you can read it and copy-paste it. so i'm charging for the gift wrap after handing over the gift. almost nobody even reaches checkout. 76% generate exactly one paper and leave. one-and-done, so subscriptions make no sense. the audience is mostly students and researchers on personal gmail, all over the world, almost none on university or company emails. traffic is x and github. so i genuinely can't tell

Analyzes agency meeting transcripts to detect scope creep risks and generate alerts.
@theshaunak_twit · X
ScopeShield ( A platform designed to kill scope creep for agencies and teams before it eats their margins. Built so you don’t forget scopes and stop doing unbilled work.

Automate scheduled tasks for social media monitoring, content generation, and data analysis with AI.
GrokTask — 基于 Grok AI 的智能任务自动化平台,支持定时任务、AI 自动执行、信息收集与分析

Privacy-first analytics platform with AI copilot for SEO content research and publishing.
@VertCodeEU · X

Analytics dashboard for LLM API spending by model and environment with optimization suggestions.
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to

Generate academic research papers and verify claims with AI-powered verification engines.
u/korro_ai · Reddit
I built Korroresearch: an AI that writes academic papers, then checks every single claim against 8 verification engines Most AI writing tools just generate text and call it done. Korroresearch does the opposite. Generation is step one. Verification is the real product. How it works: Describe your idea. It writes the full academic paper : research paper, grant proposal, white paper, pitch deck, conference talk, magazine article. English or French. Then the real part starts. 8 engine

AI tool that analyzes meeting transcripts to detect scope creep and flag risks for agencies and freelancers.
@theshaunak_twit · 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

AI-powered platform for career development, CV building, interview prep, and job matching.
@DionJerry · X
Promoting We already have over 800 Signups!

Upload research papers or projects to identify methodological overlaps, weak arguments, and citation gaps using AI.
@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: