Other tools search your files. Quello understands your work. One workspace for your tools, docs, and knowledge, with every answer backed by citations and a voice agent you can simply talk to. Built on MCP, it carries your full work context into Claude, ChatGPT, Gemini, Grok, and Perplexity. The context layer every AI has been missing.
Hey everyone, I’m Faiz, maker of Quello. 👋
I built Quello because my work was scattered across a dozen tools, and finding a single answer meant opening six tabs and hoping someone had documented it.
Quello pulls your tools, files, docs, and knowledge into one searchable workspace. You ask a question and get an answer backed by citations, so you can see exactly where it came from instead of taking it on trust. There’s also a voice agent, so you can just talk to your workspace.
You can also write your own docs right inside the workspace. A copilot sits alongside you with the context of your entire workspace, so it can help you document things accurately and carefully, drawing on what’s already there instead of starting from a blank page.
The part I’m most excited about is MCP support. Your work context isn’t locked inside Quello. You can connect it to Claude, ChatGPT, Gemini, Grok, and Perplexity, so whichever AI you use already knows how your work fits together.
I built this on my own, so your feedback genuinely shapes what comes next.
I’ll be here all day replying to every comment. Thanks for checking it out!
I really like the idea of connecting scattered work knowledge to different AI assistants. One challenge I;ve noticed with AI tools is that even when they have access to lots of information, they can still miss important context. How does Quello handle conflicting or outdated information across different sources to make sure the answers stay reliable?
Congrats on shipping this! When Claude or ChatGPT answers through your MCP server, do you still keep every answer cited and limited to the workspace, or do you let the assistant mix in what it already knows?
About Quello on Product Hunt
“One place to ask, across everything you already use.”
Quello launched on Product Hunt on October 19th, 2026 and earned 87 upvotes and 9 comments, placing #11 on the daily leaderboard. Other tools search your files. Quello understands your work. One workspace for your tools, docs, and knowledge, with every answer backed by citations and a voice agent you can simply talk to. Built on MCP, it carries your full work context into Claude, ChatGPT, Gemini, Grok, and Perplexity. The context layer every AI has been missing.
Quello was featured in Productivity (663.4k followers), SaaS (44.9k followers), Artificial Intelligence (481.5k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 391.5k products, making this a competitive space to launch in.
Who hunted Quello?
Quello was hunted by Faiz Jamadar. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Quello stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Faiz Jamadar