金融商业3 weeks ago
ProductIdeaScout | Validate Product Ideas with Evidence
根据公众讨论验证产品创意，获得开发、调整或转向的决策。
@_sunbo · X
I built ProductIdeaScout to help founders validate product ideas before they start building:
完整作品展
技术栈
60 projects
根据公众讨论验证产品创意，获得开发、调整或转向的决策。
@_sunbo · X
I built ProductIdeaScout to help founders validate product ideas before they start building:
分析新闻文章，验证结论是否得到证据支持。
@BiaoBuilds · X
我做了一个帮助读者拆解新闻论证结构的工具：LedeLens。 它不做事实核查，也不判断政治倾向，只回答一个更小的问题：文章的结论，能否由它自己提供的证据支持？ 在线体验： 感兴趣可以看看~
VeroLente AI用AI技术即时验证新闻、视频、图像和声明，获取真实度分数。
@Banshee_1212 · X
building a deepfake detection platform,
查看 Kalshi 和 Polymarket 预测市场的 ML 模型预测和性能指标。
@precisionalgo · X
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.
用多个模型实时审计AI回应以判断其可靠性。
u/inc_23 · Reddit
Hey, I created a tool that catches when your LLM is confidently wrong, in production, in real time — looking for beta testers. Your bot sounds sure of itself even when it's wrong, and you usually only find out when a customer complains. Auscope audits every LLM response in the background: 3 models from 3 different providers independently check it, a 4th "chairman" model resolves disagreements, and you get one verdict — verified, uncertain, or unreliable. Runs async, doesn't slow your respon
Swetrix 是隐私优先的分析平台，提供实时追踪、性能监控和错误检测。
u/Sensiduct · Reddit
I've hit 100 clicks/day on Google Search - here's what helped me achieve that Many people are saying "I wish I started working on SEO yesterday" but no one is saying what exactly am I supposed to do to grow my startup. I've been experimenting a lot with different things lately, and here's what worked and what did not work for me. Just in case - my startup is B2B - web analytics SaaS - Swetrix . I'll also appreciate some comments on what else I could try to get more users fr
Deriv 波动率指数的实时数字预测和市场分析工具。
@CollohBrax · X
Check out what I just built with Lovable!
Echo – Fable-level results at 1/3 the cost using open-weight models
adam_rida · HN
Echo – Fable-level results at 1/3 the cost using open-weight models
监控AI应用中的模型调用、代理步骤和检索，追踪令牌、成本和延迟。
ephraimduncan · HN
Observability for Coding Agents and LLM Applications
英国工具：MOT检查、油价对比、UCAS分数计算和资格查询
@PapaRichens · X
Wow! Today I connected @cursor_ai to AffixIO’s server to make some tools that work on @AffixIOProof circuits. My goodness. What a fast way to blast and make custom api tools. Anyway here are all the tools we made today by “vibe coding”
使用Misata为Python生成精确声明的合成测试数据。
@RasinMuhammedX · X
Declarative Synthetic Data Generation.