Stamp: A New AI Tool Trying to Take Over Your Inbox
Email still eats a huge chunk of most people's workday. We unpack Stamp, the YC Winter 2025 team's bet on a fully AI-native email client that drafts, labels, schedules, and remembers context—plus pricing and a grounded reality check.
By Kanban AI Team ·
Email still eats a huge chunk of most people's workday.
Stamp wants to change that.
Launched by a small Y Combinator Winter 2025 team, Stamp calls itself the first true AI-native email client. It acts like an AI secretary that handles your inbox and calendar. It connects to your existing email account. Then it runs in the background.
It learns how you write. It remembers context about your contacts. It drafts responses that sound like you. It prioritizes messages. It extracts action items. It schedules meetings. You return later and mostly approve or tweak what it did.
How It Actually Works
One standout mode is Stamp Mode. The AI scans your inbox. It drafts replies. It applies labels. It builds summaries and to-dos. You blast through batches by hitting enter on its suggestions. No endless scrolling.
It builds longer-term memory too. After interactions it stores details about you and the people you email. That context shapes future drafts so they avoid feeling generic.
You can also give plain English instructions. Things like "bulk draft follow-ups for last week's proposals" or "research this topic and set up a call." The agent side can pull web info if needed. It then acts directly in your inbox.
Calendar integration sits inside it. It proposes times based on availability. It sends invites. It checks conflicts. All without constant micromanaging.
A mobile app exists for iOS and Android. You review drafts or delegate tasks while moving.
Early chatter on Product Hunt and LinkedIn calls it something closer to "Cursor for email" than a simple Gmail add-on.
Stamp's Key Features at a Glance
Feature — What It Does — Why It Matters
Stamp Mode — Auto-drafts replies, prioritizes, labels, and summarizes — Lets you clear inbox in batches fast
Long-Term Memory — Stores context from every interaction and past emails — Replies feel personal, not robotic
Agentic Instructions — Handles plain-English commands including web research and inbox actions — Turns vague requests into done tasks
Calendar Integration — Proposes times, checks availability, sends invites — Reduces back-and-forth scheduling
Mobile Apps — Full review and delegation on iOS and Android — Works when you are away from desktop
AI Labels & Context — Custom rules in plain English for automatic organization — Surfaces what actually needs attention
The Founders and Backstory
Archit Mehta serves as CEO. He previously worked as a software engineer at Stripe. He also built products that reached over 50,000 users earlier in his career. Vin Bui is the co-founder. The pair met at Cornell. There they led a student engineering team of 50 people that built mobile apps used by over 10,000 daily users on campus.
They created Stamp from their own frustration. Managing huge team inboxes while running those projects became overwhelming. They joined YC Winter 2025 and launched publicly in 2025.
It is not the first AI email helper. The bet here is on building fully AI-native from the start. Less bolt-on features. More replacement for current email habits.
Pricing (Current as of 2026)
Here is the straightforward breakdown:
- Hobby: Free. Good for testing basics.
- Personal: $20 per month. Recommended for individuals and small teams.
- Business: Higher tier for teams. Includes shared inboxes and admin tools.
New users receive a 30-day free trial. Pricing sits lower than hiring even part-time help.
The Reality Check
Many tools have promised to fix email. Most became fancy auto-replies or summarizers that still need babysitting.
Stamp pushes further. It lets the AI act. Draft. Label. Schedule. You keep final say. Early feedback from busy users is mostly positive. Some report real cuts in inbox time. Others stay cautious. They want to watch how reliable the agent actions remain over months of use.
It is still early days. Desktop led at launch. Mobile arrived later. Not every edge-case workflow works perfectly yet.
If your days vanish into email threads and meeting coordination, Stamp represents one of the more ambitious recent tries at offloading the grunt work. Whether it becomes a daily driver depends on how well the memory and voice matching perform in messy real-world conditions.
You can check it out yourself at stampmail.ai and run the free trial if curious.
No magic fix for communication overload exists right now. Tools like Stamp simply test how far AI agents can go without constant supervision.
What does your inbox situation look like these days? Still fully manual, or have you layered on any AI helpers already?