@JackiePeters · X

@contrastlyapp · X

Just launched Contrastly 👁️ See your design through everyone's eyes — instantly simulate color blindness & low vision, check WCAG contrast, get smart palette fixes. Free, no signup needed. 🔗 #accessibility #a11y #buildinpublic #indiehackers

u/Thecuriousbloke · Reddit

I built an AI tool that automatically generates audio descriptions for videos. I'd love some honest feedback I've spent the last few months building an AI tool that automatically generates audio descriptions for videos to make them accessible for visually impaired users. I'd love feedback on whether the descriptions are actually useful or if there are obvious issues. Looking for honest feedback. Check it out here - https://accessly.studio submitted by /u/Thecuriousbloke t

@katyorby · X

i built — a local receipt for claude code runs. your check says whether the workspace passes now; the transcript supplies the activity counts. no transcript upload and no magical autonomy score.

@fgiuliani87 · X

What if every blind or visually impaired child could create—and touch—their own story? ✨ Type an idea. We turn it into real Braille and raised illustrations, ready to 3D-print at home. Built with @lovable to make imagination accessible to everyone. 💜

MRNiu · V2EX

做了一个免费的声音表达分析工具，录 5–15 秒就能看到反馈 最近做了一个小工具：Voice Impression Checker 。 它想解决的问题很简单：我们经常知道自己“说了什么”，却不太清楚这段话听起来是什么感觉。 打开网站后，只需要录制 5–15 秒自然说话的声音，工具会从这一次录音中分析： - 清晰度、语速、稳定性、能量和声音变化 - 听感上的温暖、自信、亲和力和参与感 - 这次表达做得比较好的地方 - 下一次录音可以尝试改进的一件事 网站还提供了 Rate My Voice 模式，可以针对面试回答、演讲开场、自我介绍和日常交流等场景进行练习。 需要特别说明的是，它不是声音好坏评判，也不会通过声音判断性格或身份。所有结果只描述当前这一次录音的表达效果，更适合用来反复练习和比较不同说法。 目前网站免费使用，不需要注册账号，录音仅用于生成当前报告，不会保存。 网站地址： https://voiceimpressionchecker.com/ 这是一个刚完成的早期版本。如果你愿意体验，欢迎告诉我结果是否容易理解，以及你最希望

@saketposwal · X

@ANOVIA_Apex · X

Your gut has an opinion. Your spreadsheet has a forecast. MARK C has 10,000 futures and the exact question that matters: what breaks your decision? Stop guessing. C MARK it.” ⚡

u/12qwww · Reddit

I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •

@pgrant67 · X

Uber gave 5,000 engineers Claude Code. 4 months later, their entire 2026 AI budget was gone. This is what happens when adoption outruns proof. We built the free AI ROI Index to show where your AI spend is actually driving value: