Finally, an inbox you'll look forward to. Agents sort your messages, draft your replies, and clear the grunt work behind the scenes, all in a client so well-crafted that email feels light, fast, fun.
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This looks great, but I'm just concerned about privacy... especially when dealing with internal emails containing confidential information. I have safeguards matching the sensitivity of the information, but having an AI agent reading and classifying my emails may be a risk factor. Anything you can suggest here?
Been using Upstream for a few months now and I canβt imagine going back to Gmail. The UX is so much better, and the inbox splits have made managing my emails so much easier
@manoufebΒ We really appreciate your support! π
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The right test for this category is not whether the draft sounds polished; it's whether the system makes handoff and review legible. For a small shop, knowing what the agent touched and what still needs a human is the difference between leverage and another inbox to supervise.
@krekeltronicsΒ The agents work for you and nothing gets sent without your approval. Every conversation with an AI drafted reply is clearly marked.
What are the biggest challenges that you are facing with message handoff/review?
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The human-agent inbox idea is interesting because email is full of half-finished work, not just messages. The key question for me is trust: when Upstream drafts replies or tracks open loops, does it explain why something matters and what context it used from connected tools before a human acts?
@rahulbhavsarΒ great question. Every time Upstream creates a reply or follow up you are able to see why it did so and the context it used from various tools.
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Congrats on the launch Upstream team! Itβs the only product where I find myself hitting « sendΒ Β» most of the time without changing anything in the AIβs draft. Itβs so much faster than having to prompt Claude Code or Codex, wait for it to find the thread, analyze, draft and answer, then re-write half of it manually
The open-loops part is the bit that stands out to me. Drafting replies is useful, but remembering what needs a follow-up is where email quietly taxes people every day. Curious whether those reminders are purely email-thread based or can pull from Calendar/Granola context too.
@vidur_sainiΒ We create follow ups on email threads. We also create follow up emails after each Granola meeting, with a summary, action items and recipients added.
What other types of follow ups do you have in mind?
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This looks great, but I'm just concerned about privacy... especially when dealing with internal emails containing confidential information. I have safeguards matching the sensitivity of the information, but having an AI agent reading and classifying my emails may be a risk factor. Anything you can suggest here?
Overall, great product nonetheless!
Product Pages
Total game changer. Congrats team for the launch!
Upstream
@adrienmΒ Thanks Adrien!
Been using Upstream for a few months now and I canβt imagine going back to Gmail. The UX is so much better, and the inbox splits have made managing my emails so much easier
Upstream
@delphy_rodriguezΒ So glad you're enjoying Upstream π we appreciate your support
Congrats to the entire team for the launch! It looks really cool. π
Upstream
@manoufebΒ We really appreciate your support! π
The right test for this category is not whether the draft sounds polished; it's whether the system makes handoff and review legible. For a small shop, knowing what the agent touched and what still needs a human is the difference between leverage and another inbox to supervise.
Upstream
@krekeltronicsΒ The agents work for you and nothing gets sent without your approval. Every conversation with an AI drafted reply is clearly marked.
What are the biggest challenges that you are facing with message handoff/review?
The human-agent inbox idea is interesting because email is full of half-finished work, not just messages. The key question for me is trust: when Upstream drafts replies or tracks open loops, does it explain why something matters and what context it used from connected tools before a human acts?
Upstream
@rahulbhavsarΒ great question. Every time Upstream creates a reply or follow up you are able to see why it did so and the context it used from various tools.
Upstream
@thomaslecatΒ Thanks so much Thomas! Super happy that you're saving so much time with Upstream
Upstream
@thomas_perez13Β the more we can make email more joyful and less anxiety-inducing, the better π
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The open-loops part is the bit that stands out to me. Drafting replies is useful, but remembering what needs a follow-up is where email quietly taxes people every day. Curious whether those reminders are purely email-thread based or can pull from Calendar/Granola context too.
Upstream
@vidur_sainiΒ We create follow ups on email threads. We also create follow up emails after each Granola meeting, with a summary, action items and recipients added.
What other types of follow ups do you have in mind?
Axolo
After a few weeks, it's obvious that Upstream is the SuperHuman of the AI era - congrats to the team!
Upstream
@arthurcoudouyΒ Thanks so much Arthur πͺ