开发者工具1 month ago
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LLM API支出分析仪表板，按模型和环境分类，含优化建议
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to
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LLM API支出分析仪表板，按模型和环境分类，含优化建议
ATsimbalistov · HN
Show HN: Tracking GenAI cost and endpoint fragility so app teams don't have to
无代码数据分析和文档提取平台。
@0xLingjieKong · X
Hey @Sarakhan49309, I'm currently building an agent specialized in data analysis that reduces hallucinations. would love to connect!
CoBro 用 AI 扫描竞争对手和市场数据，90 秒内判断初创企业创意是否值得构建。
@Ebrahim_Rio · X
Most founders skip validation and pray. I automated the "worth building?" check. AI scans competitors, Reddit, and market data → Cook or Kill in 90 seconds. Killed? It surfaces the pivot the data actually backs.
追踪访客转化为客户及其来源的分析平台
@omarwaleedzen · X
DataLook - analytics that counts customers, not clicks. Your dashboard shows 100 numbers. DataLook shows the one that matters: which visitors actually became customers, and where they came from.
按价格、功能、安全和合规性对比AI工具。
u/CyberMAL · Reddit
There are so many cool AI tools coming out that I couldn't keep up so, I built a site to compare them properly. I don't know about you, but I hit a point where there was a new AI tool every single week and I genuinely couldn't tell which ones were worth my time. I wanted to actually use this stuff, write, make images, build things, get organised, but figuring out the right tool for each job was a mess. So I'd do what everyone does. Search "best AI writing tool," "best AI voice generator,"
搜索和比较具有验证定价和详细评价的 B2B SaaS 工具。
@audyense · X
Launching a B2B SaaS? Don’t just optimize for SEO. Optimize for AI discovery. That’s why we built
用于查询结构化公开X数据的API，包括帖子、资料、趋势和粉丝。
u/CodeElectrical7071 · Reddit
X’s API is expensive, so I built a simpler API for public X data I’ve been building ThreadQuery, an API for getting structured public X data into apps and AI workflows. It supports search, post lookup, profiles, user posts, threads, trends, followers, and following. I’m starting with a free beta while I test reliability with real usage. The first 100 verified users get 1,000 free credits. No payment integration yet. I’d love feedback, especially on incorrect data or missing endpoints:
通过 AI 原生分析平台浏览 FC Zürich 比赛数据和球员信息。
@zerokn0wledge_ · X
hey @fc_zuerich I vibe-coded something for you at the beach today with my fren @claudeai Fable 5. let's talk. because I love you.
从Google Search Console中提取SEO优化机会和即用型建议。
@citewins · X
Just launched! 🚀 I've spent my weekends building CiteWins, and today it’s live. If you own a website, it helps you drive #SEO traffic from Google & boosts your visibility in AI search like ChatGPT & Gemini. 🤖📈 🔗 #BuildInPublic #AI #AEO #SEO #GEO
通过聚合12个公开数据源，追踪竞品的首次提及与增长驱动。
@JacobGorAI · X
花了大约 3 天，用 Claude 把 做完上线了。 这次的UI 完全放开让 Claude 自己决策，结果审美完全在线，说实话还是挺让我惊喜的。 产品 idea 来自我自己的痛点。我手上跑着几个 AI 产品，每次上新品前都要做同一件事：翻竞品的外链、Wayback 快照、Reddit老帖，拼凑出它们冷启动的路径。每次都要烧掉几个小时，而 SEO 工具从来不回答这个问题。 Tracetify 把这个过程自动化了：贴一个竞品 URL，聚合 12 个公开数据源，还原出带时间线的冷启动路径，每条结论都挂着带日期的原始出处。 竞品调研从几小时压到 2 分钟，省下的精力全部投回产品本身。
AutoDocParse extracts structured data from invoices, receipts, and business documents with AI confidence scoring, review queues, webhooks, and team workspaces.
@robingeekydev · X
I'm a solo dev and I just launched something I'm genuinely proud of 🧵 — AI document parsing with confidence scores Here's the problem it solves: Every day, finance & ops teams manually re-type data from invoices, receipts, and purchase orders. It's slow. It's error-prone. And it scales terribly. AutoDocParse lets you: → Upload any business document → Get structured data extracted by AI instantly → Review only the fields the AI isn't sure about → Push data anywhere via API or webhook Built this as a solo dev. Would mean the world if you tried it 🙏 👉 — 20 free parses/month
