Most AI tools need five prompts to get it right. Rowboat needs one. It builds a living knowledge graph from your meetings, emails, and notes, so it already knows your work and how you work. Take meeting notes, prep for your day, draft emails, build dashboards, automate browser tasks, and manage projects with context you don’t have to re-explain.
We built Rowboat because we kept running into a frustrating pattern with AI tools: they don't actually know your work. You have to keep catching them up on your people, your projects, the decisions you've already made. Every conversation starts from zero.
Rowboat is an AI work app that builds a living knowledge base from your meetings, emails, and notes, then uses that context to actually help you get work done.
A few things that make Rowboat different:
Living knowledge base: Rowboat learns about you, the people you interact with, projects, and workflows from the work you’re already doing. No manual tagging or setup.
Meeting notes that compound: it records meetings, extracts action items and decisions, and feeds that context back into your knowledge graph.
Daily prep that knows your world: get a brief that already understands your calendar, inbox, and what matters this week. Auto-drafts emails, creates presentations, or handles anything you'd normally do.
Batteries included: Rowboat can look up or do things on your computer, use a built in browser, do granular web searches and use the library of external product integrations to get work done.
Local-first and open source: Rowboat runs as a desktop app on macOS, Windows, and Linux. Your data is stored on your own machine.
A core belief behind Rowboat: the real measure of an AI product isn’t how clever the model is. It’s how little effort you have to spend before it gets something meaningfully right.
Context shouldn’t be something you type. It should be something your AI already knows.
We'd love to hear your feedback! Two things we’re especially curious about: (1) What’s the last work thing you had to explain to an AI tool? (2) What would you want it to remember without being told?
This is really interesting - I'd also be curious to know whether you've looked at applying this to physical work settings like laboratories? Experimental workflow/planning, analysis etc.? Good luck with the launch!
Congrats on the launch, Arjun.
"Every conversation starts from zero" is the right diagnosis.
The knowledge graph approach makes sense in theory, but the hard part is whether it stays coherent over time or becomes a cluttered mess of stale context that starts causing wrong assumptions instead of right ones. Local-first and open source is a meaningful trust signal for something ingesting your meetings and emails.
To answer your questions: the last thing I had to re-explain was the status of an ongoing project: who's involved, what was decided, and what's still open. What I'd want remembered without being told is relationship context: not just who someone is, but the history of how we've worked together and what's already been agreed.
What's the graceful degradation story when the knowledge graph gets something wrong and confidently acts on it?
About Rowboat on Product Hunt
“The AI work app that understands how you work”
Rowboat launched on Product Hunt on April 21st, 2026 and earned 86 upvotes and 7 comments, placing #26 on the daily leaderboard. Most AI tools need five prompts to get it right. Rowboat needs one. It builds a living knowledge graph from your meetings, emails, and notes, so it already knows your work and how you work. Take meeting notes, prep for your day, draft emails, build dashboards, automate browser tasks, and manage projects with context you don’t have to re-explain.
Rowboat was featured in Email (36.7k followers), Meetings (6.4k followers), Artificial Intelligence (467.1k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 118.7k products, making this a competitive space to launch in.
Who hunted Rowboat?
Rowboat was hunted by Garry Tan. 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 Rowboat stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Garry Tan
👋 Hey Product Hunt,
I’m Arjun, co-founder of Rowboat.
We built Rowboat because we kept running into a frustrating pattern with AI tools: they don't actually know your work. You have to keep catching them up on your people, your projects, the decisions you've already made. Every conversation starts from zero.
Rowboat is an AI work app that builds a living knowledge base from your meetings, emails, and notes, then uses that context to actually help you get work done.
A few things that make Rowboat different:
Living knowledge base: Rowboat learns about you, the people you interact with, projects, and workflows from the work you’re already doing. No manual tagging or setup.
Meeting notes that compound: it records meetings, extracts action items and decisions, and feeds that context back into your knowledge graph.
Daily prep that knows your world: get a brief that already understands your calendar, inbox, and what matters this week. Auto-drafts emails, creates presentations, or handles anything you'd normally do.
Batteries included: Rowboat can look up or do things on your computer, use a built in browser, do granular web searches and use the library of external product integrations to get work done.
Local-first and open source: Rowboat runs as a desktop app on macOS, Windows, and Linux. Your data is stored on your own machine.
A core belief behind Rowboat: the real measure of an AI product isn’t how clever the model is. It’s how little effort you have to spend before it gets something meaningfully right.
Context shouldn’t be something you type. It should be something your AI already knows.
We'd love to hear your feedback! Two things we’re especially curious about: (1) What’s the last work thing you had to explain to an AI tool? (2) What would you want it to remember without being told?