Town is the unusually helpful AI assistant. It learns how you work, not the other way around: your voice, your people, your patterns. It works where you do, across email, calendar, docs, and messages. It drafts your replies, handles your scheduling, and builds routines for the work you repeat. The more it learns, the more it does on its own, so your time goes to the work only you can do.o big ideas.
I'm Tony, co-founder and CPO of Town. This is the third(!) time I've taken a run at the same idea: an AI that works alongside you. The first was Navigator, which we launched here on Product Hunt back in 2019. The second was at Google, where my team built an AI teammate we demoed on stage at I/O '23. Each time we got closer, but the tech or the timing wasn't there. It is now!
For years the AI race has been about who's most powerful. But for most people AI is still a privilege: it rewards the ones willing to learn prompting, workflows, connectors, MCPs, API keys. Everyone else gets a chat box and a "good luck." We built Town to go the other way around: it learns from the work you've already done and starts doing the work the way you would.
A few things people have actually done with their Townie:
- A CFO drafted 120 individualized investor emails in an afternoon. - A CPA and working mom cut her busy-season hours from 80 to 60 — Town handled client research and emails, and her kids' school calendars. - A nonprofit director processes grant requests that arrive as handwritten notes in foreign languages, photographed on a phone. Town translates, transcribes, summarizes, and files them before his first coffee. "It's like having another employee and a half." - A founder who observes Shabbat mentioned his Friday offline pattern once, in passing. Town built him a Saturday-night briefing without being asked.
No two Townies are alike, because no two people are. It works for you, just you — private, with approval-required defaults, per-action controls, and a full audit log of everything it does on your behalf.
Jean-Denis Greze (my co-founder) and I will both be in the comments all day. Bring your hard questions and your wishlist!
I am an early Town customer and I've NEVER been so vigorously a fan of a tool. It contains all my docs, ten years worth of emails and texts, plus all my current info. It PROACTIVELY suggests needs. The team is crazy-responsive.
This is my one app to rule them all. Fight me.
Inbox triage based on sender context makes perfect sense. But generating 120 personalized investor emails feels like a much harder problem. What's the source of truth there - past conversations, CRM data, notes the user provides, or something else?
In my experience, the biggest challenge isn't getting AI to draft an email. It's getting it to draft something that actually sounds right, feels personal, and is ready to send without heavy editing. That's where a lot of tools still struggle.
Congrats on the launch!
A lot of assistants can help during a conversation, but much fewer seem useful weeks later when priorities have changed.
How much of Town's value ends up coming from understanding long-term context and habits versus helping with day-to-day scheduling and tasks?
I love my Townie! Dale saves me so much time, it’s hard to imagine going without him now.
Just found out about this from NYC Tech week during Cristina Ciaravalli's Masterclass on GTM. I signed up yesterday and have been extremely blown away by Town. I'm not technical (no-coding experience, but heavy experience with no-code AI), and I have been AI Assistant-maxxing for the last few years with ChatGPT, Claude, Grok, Openclaw, & one of my personal favorite is Poke by Interaction. I always thought that Poke nailed the proactive part of what I wanted out of an AI assistant, such as speaking to me more like a friend and less like a chatbot, while at the same time writing email drafts in my voice with my context across different apps/integrations. Although I enjoy being able to iMessage an AI assistant like Poke, once you start having ongoing threads and scheduled actions, a single iMessage thread can get incredibly overwhelming to keep track of. From what I've seen so far, I think that Town absolutely nailed the surfaces that need to be seen, like Powers, Library, People, Tasks & Threads. I'm very new to trying it out, but it already feels a lot easier to maintain active threads and ongoing tasks/actions in parallel and I'm excited to continue to work with it. Having the ability to use town through web, iOS, or Mac app was also a MASSIVE plus (although the Mac app was kinda buggy for document editing).
Two questions:
1. Separate Town accounts for work vs. personal, or one with both connected? I signed up with both emails and got the 90-day trial. I'll mostly use Town for work, but if I invest in personalizing my townie, I'd want that relationship to carry forward beyond any single employer. Curious whether you'd recommend a personal account with work connections and work email as secondary added, or keeping them distinct so work context doesn't get crossed with personal.
2. Any plans for Sales/Marketing/BD roles? I saw the open Ops and Engineering roles in SF, plus the note inviting people to reach out if they think they can make Town better. I want to put my hand up for that. Within 24 hours of signing up I'd already organically converted 8 friends to sign up and give it a shot, and I've already received feedback from 2 of them this morning (see screenshots below). Even though I've had Town for less than 24 hours I think I have a general idea of the value-add here and can see this being a game-changer. I'd love to learn more about how you're thinking about go-to-market and the business model, and where someone like me, (not traditionally technical, but skilled using AI and natural language) could plug in.
Sounds very cool. I'd be super-interested to trial this and see how it fits in with my life - is there free or freemium version to get a feel for if this is a good fit before getting too invested?
Superhuman already handles basic inbox triage for me, so Auto-inbox is the part I’d compare first. Can Town map to my existing Gmail labels, or does it start with its own default set?
The Shabbat story is a perfect illustration of the core design challenge here - picking up on something the user mentioned once, without being asked, and acting at the right moment. That kind of implicit preference learning is genuinely hard to build without it feeling creepy or presumptuous.
I've been thinking about this pattern in meal planning too - I built DishRoll (dishroll.netlify.app) as an AI-powered weekly meal planner that learns dietary preferences and routines over time. The tension is the same: generic suggestions are useless, but the learning phase requires enough signal to be useful. How long does it typically take for Town to move from "helpful assistant" to "actually anticipates what I need"?
About Town on Product Hunt
“The assistant that learns how you work, then gets to work. ”
Town launched on Product Hunt on June 3rd, 2026 and earned 107 upvotes and 23 comments, placing #10 on the daily leaderboard. Town is the unusually helpful AI assistant. It learns how you work, not the other way around: your voice, your people, your patterns. It works where you do, across email, calendar, docs, and messages. It drafts your replies, handles your scheduling, and builds routines for the work you repeat. The more it learns, the more it does on its own, so your time goes to the work only you can do.o big ideas.
Town was featured in Email (36.7k followers), Calendar (32k followers) and Virtual Assistants (16.1k followers) on Product Hunt. Together, these topics include over 12.7k products, making this a competitive space to launch in.
Who hunted Town?
Town was hunted by Tony Vincent. 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 Town stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Tony Vincent
I'm Tony, co-founder and CPO of Town. This is the third(!) time I've taken a run at the same idea: an AI that works alongside you. The first was Navigator, which we launched here on Product Hunt back in 2019. The second was at Google, where my team built an AI teammate we demoed on stage at I/O '23. Each time we got closer, but the tech or the timing wasn't there. It is now!
For years the AI race has been about who's most powerful. But for most people AI is still a privilege: it rewards the ones willing to learn prompting, workflows, connectors, MCPs, API keys. Everyone else gets a chat box and a "good luck." We built Town to go the other way around: it learns from the work you've already done and starts doing the work the way you would.
A few things people have actually done with their Townie:
- A CFO drafted 120 individualized investor emails in an afternoon.
- A CPA and working mom cut her busy-season hours from 80 to 60 — Town handled client research and emails, and her kids' school calendars.
- A nonprofit director processes grant requests that arrive as handwritten notes in foreign languages, photographed on a phone. Town translates, transcribes, summarizes, and files them before his first coffee. "It's like having another employee and a half."
- A founder who observes Shabbat mentioned his Friday offline pattern once, in passing. Town built him a Saturday-night briefing without being asked.
No two Townies are alike, because no two people are. It works for you, just you — private, with approval-required defaults, per-action controls, and a full audit log of everything it does on your behalf.
Jean-Denis Greze (my co-founder) and I will both be in the comments all day. Bring your hard questions and your wishlist!