
Bidfolio · The jury is money.
A ranked list of portfolios, products and projects. Rank is the bid, nothing else. Resets every month.
@SeanTiffonnet · X
A ranked list for creative portfolios
完整作品展
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60 projects

A ranked list of portfolios, products and projects. Rank is the bid, nothing else. Resets every month.
@SeanTiffonnet · X
A ranked list for creative portfolios

对比语言模型在 Redactle 谜题上的表现排名。
pampas · HN
Redactle LLM Leaderboard

上传客户数据预测流失风险,获得留存策略。
u/ajaysurya_ · Reddit
Looking for feedback Built Bayeso after realizing most churn prediction tools ignore small businesses. Looking for feedback. hey everyone, i've been working on bayeso ( https://bayeso.tech ), an ai platform built for businesses that don't have massive datasets. while building it, i kept running into the same problem. almost every churn prediction solution is designed for companies with thousands or even millions of customer records. if you're a small business with a few hundred customer

使用开源浏览器工具分析象棋游戏,获得自然语言解释,无需登录。
u/ICARUS_2X · Reddit
Spent 7 months building a FOSS platform for natural-language chess analytics (No LLM) Hey guys, I've released CHONSE2, an open-source game review platform that offers unlimited analysis and move explanations without using hallucination-prone LLMs, running entirely in your browser. chonse2.com But Lichess is free, so why use this? Some have asked. It expands on Lichess's feature set a few different ways: Full analysis (accuracy/elo estimations/eval graphs, etc) requir

向AI法庭提交辩论双方,获得一份公正的裁决。
u/Gazzashere · Reddit
I built an AI court for settling pointless arguments — I’d love some brutally honest feedback I’ve spent the last few days building I’m Right — Britain’s Court of Pointless Arguments . The idea is deliberately simple: two people disagree about something stupid — who loads the dishwasher properly, whether pineapple belongs on pizza, who should have replaced the toilet roll, etc. You give both sides of the argument to The Tribunal , and it delivers a verdict. It has to pick a winner. No sit

跨14个维度分析Python代码,检测违规并提供详细报告。
@KSFirasa · X
Hello! I built a tool that profiles code (python only atm) across 14 dimensions detecting violations and capabilities outputting a full report. A bit more nuanced than "AI-powered insights". Free while in beta. Thank you!

Paste product reviews and get an instant AI analysis report — sentiment breakdown, top complaints, strengths, and actionable insights in seconds.
@YashPawar576844 · X
I used to pick products first and research customers later. That order cost me money. Now I start with what buyers actually say about the product. That shift eventually led me to build Pikwisely.

在浏览器中使用免费加权决策矩阵做出复杂决策。
@bjoern_live · X
Make complex decisions easy.

用AI根据具体性、证据质量和风险清晰度为创业想法评分。
@nellaiorgs · X
Building NELL Labs -- an AI-native startup validation platform. Instead of generic LLM answers, it scores your idea across specificity, evidence quality, risk clarity, and next-step usefulness, so you know if it's actually validated or just sounds good.
在统一仪表板上查看性能积分、预估评分和增长差距。
@DiyaVijay6 · X
Check out what I just built with Lovable!

LangevinAI 上传总账文件自动生成损益表和AI差异分析。
@VictorVDPN · X

Etch: 追踪、重放和验证AI代理的决策,提供签名审计线索。
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in