Education1 month ago
ColabWize – Academic Integrity & Collaboration Platform
Audit citations and verify authorship to prove the authenticity of your academic work.
@clawncore · X
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11 projects
Audit citations and verify authorship to prove the authenticity of your academic work.
@clawncore · X
VITALOOP helps you make sense of symptoms, lab results, biomarker patterns, safety context, retests, and progress over time with AI.
@AlekseyBombela · X
Collect user feedback, prioritize features with AI, and ship changelogs your customers love.
@heyayankai · X
💬 Building FeatureSay. A simple platform to collect user feedback, prioritize feature requests, and build what customers actually need.
Generate relational synthetic test data with exact outcomes.
@RasinMuhammedX · X
Declarative Synthetic Data Generation.
AI tool that discovers hidden bugs in your application using verification analysis.
@uriel_bitton · X
As you add more features to your vibe coded app, you increase the chances for bad behaviour. The worst part is you dont know they exist Every beta user i've had try out the app told me they found a few issues they had no idea existed Find yours using
Test and monitor APIs with real-time insights and load testing capabilities.
@SajidAbuba74138 · X
A tool for developers
AI-powered test that rates your attractiveness and provides personalized beauty insights.
Free AI Beauty Test — AI 颜值测试，提供给你个性化的建议
Upload datasets to automatically find statistically significant correlations and causal relationships.
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.
Detect AI-generated content in text and documents with per-sentence analysis and exportable reports.
Detector de IA — 西班牙语优先的 AI 文本复核网站，可检查粘贴文本和文档，查看概率信号、句子高亮和可导出报告
Scores AI-generated ad creative and returns verdicts (run/fix/kill) via MCP and REST API.
ds246 · HN
Spendict – a performance marketer's verdict for AI agents, over MCP
Benchmark AI models by having them animate a 3D banana plant's full lifecycle.
fran-mora · HN
I gave 5 AI coding agents one prompt: grow a banana plant through its whole life in three.js: sprout, leaves, flower, fruit, rot, then pups that restart the loop. It's deceptively simple and yet very hard to get right from procedural code: you have to write working three.js and understand how the plant is actually built; how it hangs, ages and decays. Get the biology wrong and the code renders something weird. These are agents, not bare models (Claude Code and Codex for now). They can use tools, including playwright to check their work and improve it.