生产力1 month ago
Dshelf: A calm reader for your PDFs
用Dshelf将PDF转化为宁静的阅读体验，配有精美图书馆和AI页面指导。
@dshelf_app · X
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16 projects
用Dshelf将PDF转化为宁静的阅读体验，配有精美图书馆和AI页面指导。
@dshelf_app · X
BuildUForward - 超越DSA的面试准备平台，提供系统设计和公司特定指导。
@nomadicinfra · X
通过DSA模式练习和ChatGPT指导追踪校招准备进度。
@8876sahil · X
If you tired of random DSA videos and unstructured placement prep. You can try trackMe a free placement tracker. Practice DSA pattern-wise, prepare topic-wise, and learn with ChatGPT. Feedback welcome. Share if useful
用 markdown 笔记组织想法，支持进度追踪，并将其可视化为交互式思维导图
@vasanthadabala · X
Not really a startup. It's just something I built for myself a simple note taking app with a planner, progress tracker, and mind map I'm going to share it publicly @NodesMap check it
使用 SpecIQ 自动生成符合标准的产品规格表和技术文档。
@speciq_app · X
is a documentation engine that transforms unstructured product details into professional, compliant technical documents. Unlike generic AI chat tools, SpecIQ provides structured templates and branded outputs tailored for real business use.
Build AI-powered workflows from your notes to automate GTM and sales processes.
@jingconan · X
Hi! Let's Connect! I am building which helps founders to turn ideas to reusable workflows
对功能建议投票并查看产品路线图。
u/kaneki0dd · Reddit
Built SignalBoard a $15/mo Canny alternative for feature voting & roadmaps Been building this because Canny charges $79/mo for something that should be simple: let users vote on features, show a public roadmap, ship a changelog. https://preview.redd.it/h2x588h0n8dh1.png?width=1200&format=png&auto=webp&s=c5a4e15c59008ee67b495b7c35e1350d314e257b What it does: Feature voting — verify once, vote with one click after that AI duplicate detection — catches near-identical
AI平台分析非洲植物适宜性和生态风险，支持现场决策。
@apicorafrica · X
Yes please, Apicora helps people understand plant suitability, ecological risk, and site-level decisions using structured African plant intelligence.
使用AI技术生成复杂的Excel公式。
Formulas AI — 帮助用户生成 Excel 公式，基于 DeepSeek-V3 的 AI 工具产品（需要用户自己填入key）
机构级金融数据API，专为AI和开发者优化。
u/wisesheets · Reddit
Most stock APIs are very expensive, have tons of data mistakes, and are not built for AI. Most stock APIs are expensive, have data mistakes, and are not designed for AI, so we built one. We recently launched the Wisesheets API and MCP server after repeatedly running into the same problems with financial data providers. Some APIs cost hundreds or thousands of dollars per month. Others have strict request limits and make it difficult to pull bulk data for screening or broader market analy
