
Gohvio, Clean CRM Data for RevOps & Finance Ops
One place to upload, clean, validate, and trust your CRM data. Read-only HubSpot integration. Free trial, no credit card.
@EmilyinBos · X
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One place to upload, clean, validate, and trust your CRM data. Read-only HubSpot integration. Free trial, no credit card.
@EmilyinBos · X

桌面优先的开源生产力系统,具有 Pomodoro 追踪、习惯养成和 AI 反思功能。
@Shourya60756648 · X
Let's connect, checkout

将SQL架构可视化为ER图,审查AI建议的修复后再应用。
@erd_factory · X
Paste your CREATE TABLE statements. Get an instant ER map, flagged issues, and AI-proposed fixes — reviewed as a diff before anything touches your schema.

AgList是一个用来查找和比较农业生物制品的独立平台。
@timnuss · X
Trust layer for agriculture

自主AI研究引擎,根据提示词生成带真实引用的完整学术论文。
@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

LaunchPack is an independent research project and maintained database that helps startup founders compare directories using current metrics, historical data and editorial analysis.
@mp3zbz · X
- most curated list of saas directories with traffic and seo metrics to choose the right ones

与团队通过实时链接共享和更新数据。
u/Melodic-Living4805 · Reddit
Roast my Agentic Platform Been building this platform on the side for about a year would love to hear if the messaging is clear and what your first impressions are. Are you curious ? confused . impressed etc ? https://pindown.ai/ submitted by /u/Melodic-Living4805 to r/microsaas [link] [comments]

Open Commonplace - Defy AI. Preserve human creativity and ingenuity. Start with a book you've read.
@opencommonplace · X
Preserving human knowledge and wisdom from books at

文档解析 API,准确提取表格、公式和结构化数据给 AI 代理。
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

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. •

托管Umami Analytics服务,自动更新备份,零运维成本,月$5起。
@engMostafaMatar · X
Working on the SEO for 🤞 It's really hard with new domains though 😅

SecureDocs Cloud — 安全云存储,支持家庭成员共享重要文件。
@DwivediNitil · X
Go physical to digital