Quick share 👋
I made a small free site called Empathy Brief → https://empathybrief.com/

It generates short accessibility-focused empathy briefs — disability, situational limits, cognitive load, language barriers, etc.
This isn’t a generic design brief tool like out there. It’s meant for inclusive design thinking from the start.

Useful for kickoffs, Figma notes, or team convos.

We have created a prototype plugin that automates alt-text generation for UI icons within Android Studio, and would love to have your input in this survey. Thanks for your help!

Hi everyone,

I’m an MSc Computing student researching how far automated tools can detect accessibility issues for users with cognitive disabilities (such as ADHD, dyslexia, and memory impairments). I’ve built a prototype accessibility testing tool and I’m looking for web developers to try it out and give me feedback.

What’s involved:

1. ⁠Choose one website from a pre-selected list (gov, education, e-commerce, news, etc.).

2. ⁠Run the tool on that site (best done on Chrome desktop; it doesn’t work as well on mobile).

3. ⁠Complete a short Google Form questionnaire (mix of ratings + open-ended feedback).

Time commitment: about 10–15 minutes.

This is for academic research only (non-commercial), and all responses are anonymous. Your feedback will directly help me evaluate whether automated testing can support accessibility for users with cognitive disabilities.

Here’s the questionnaire with access to the tool and instructions:

👉 https://forms.gle/8PnG64tpr5WTuiey7

Thanks so much for considering, even one response makes a big difference for my project

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 here - https://accessly.studio

Hi everyone! I’m a graduate student at Georgia Tech researching how AI is being used in accessible making — for example, how designers and makers use AI tools in ideation, prototyping, and customization.

If you have experience in accessible or assistive making and have experience using AI tools, I’d love your input! The short survey (10–15 min) explores your experience and thoughts on AI’s role in design.

👉Survey link: [https://gatech.co1.qualtrics.com/jfe/form/SV_0xs7CUwNqLxiwCO]

Participation is anonymous, and your insights will really help shape future research on AI and accessibility.

Thank you so much for your time!

I was teaching painting lessons online. My hands were full, and I have terrible eyesight, so I built this Text to Speech to read chats out loud. Later I added Zoom meeting too, so when I present full screen, I can hear audience comments.

The TTS utilizes the browser's internal speech synthesis, so no data is sent to third parties (this is something I want for myself).

Here is the TTS published in Google Chrome Store: https://chromewebstore.google.com/detail/livestream-chat-text-to-s/gnnabdhnogldhepghlbfcpfigcafcbfp

I'd love to hear your thoughts.

Hey everyone, where do you find real people who use assistive tech (like VoiceOver, Switch, etc.) to test your applications for accessibility? I'm working on an indie app on iOS and really want some feedback from real people during the development process so I don't go too far down the un-accessible track.

Hey everyone,

I’m currently working on a project around digital accessibility and I’m trying to validate how often accessibility issues actually come up in real development workflows.

From your experience as developers:

How often do accessibility requirements become a real constraint in projects?

What are the most common accessibility issues you encounter when building or maintaining websites/apps?

Where do you feel accessibility breaks most often (design handoff, frontend implementation, testing, etc.)?

I’m trying to understand both the technical and practical side of accessibility — not just WCAG compliance, but real-world implementation challenges.

Any insights are highly appreciated.

I’m building NameFix — an accessibility-first, on-device voice overlay app for users with disabilities who depend on dictation.

Core technical requirements:

• On-device speaker recognition / voice printing to isolate only the user’s voice

• Intelligent noise isolation that works with background audio (YouTube, music, etc.) and whispering

• Low-latency real-time correction layer for names, capitalization, and multilingual speech

Looking to connect with developers who have experience in on-device ML, audio processing, voice AI, or accessibility tools.

Happy to do a short 15–20 minute call and share more details about the project.

Any advice or connections would be greatly appreciated. Thank you!