AI that reads your page, sees it, and gives context answers.
Ask Bar is an AI assistant that reads your page, understands visuals, and delivers instant, context-aware answers. It works on articles, code, PDFs, product pages, and more. Get live web research without switching tabs, unlock insights from screenshots, and keep your workflow moving anywhere you browse.
Hey Product Hunt! 👋 I’m William, and on behalf of The Ask Bar Team, we’re incredibly excited to launch Ask Bar today! Like many of you, our team was constantly frustrated by the "tab-switching dance." We realized that constantly copying content, pasting it into a separate AI tab, and instantly losing context was a huge drain on productivity. So, we decided to build an AI super-assistant that lives right on the page with you, truly understands the content, and gives you the freedom to choose your
Congrats on the launch! I have a question around this how safe is this? If it "reads the page" then how sure are we that it won't read financial information and maybe expose it as vulnerability?
That zero copy-paste workflow sounds amazing. Best wishes to the team
I’m curious — when someone lands on a new software website for the first time, what’s the most effective way to help them quickly understand: what the product actually does who it’s built for and why they should care Do you think: written copy is enough? short demo clips work better? or a simple animated explainer makes things clearer? For founders building new SaaS tools, clarity seems to be a big challenge — especially when the product is complex. What’s worked best in your experience?
Local-only is the only way I'd trust a browser agent these days. Smart move on the BYOK architecture.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.