Upstream - The inbox designed for humans and agents
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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.
Replies
Been using Upstream for a few months now and I can’t imagine going back to Gmail. The UX is so much better, and the inbox splits have made managing my emails so much easier
@delphy_rodriguez So glad you're enjoying Upstream 😄 we appreciate your support
@delphy_rodriguez so glad you’re enjoying it!
@delphy_rodriguez inbox splits are indeed a game changer for inbox productivity! i'm glad you're enjoying it :)
@delphy_rodriguez Love hearing this. The inbox splits are exactly meant to make email feel less like one giant pile. Thanks for using Upstream for so long.
Congrats to the entire team for the launch! It looks really cool. 👏
@manoufeb We really appreciate your support! 🙏
@manoufeb thanks Manou! We all appreciate it 😄
@manoufeb Thank you so much! I hope you'll like as much as we do 😇
@manoufeb thanks, appreciate it!
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?
@rahulbhavsar 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.
Haha an image is worth a thousand words I guess. @rahulbhavsar did you have specific use cases in mind in which it's super important for you that the agent explains why he did this or that action?
@jontiret Yes. Three use cases come to mind: customer follow-ups, sales/prospecting replies, and internal commitments pulled from meeting notes or email threads. In each case, I’d want to know what context the agent used, why it thinks the action matters now, and whether anything is customer-facing before sending.
@rahulbhavsar do you think our UI above would help answer those questions? Where it shows which sources the agent pulled from to draft the response? Would you add anything?
@thomaslecat Thanks so much Thomas! Super happy that you're saving so much time with Upstream
@thomaslecat thank you!
@thomaslecat Best signal we can get. Thanks!
@thomaslecat Sending drafts as is is the goal - thank you, Thomas! 🙏
@thomaslecat @webkonstantin fully agree! so happy we nailed it!
After a few weeks, it's obvious that Upstream is the SuperHuman of the AI era - congrats to the team!
@arthurcoudouy Thanks so much Arthur 💪
@arthurcoudouy 🙌🏾🙌🏾
@arthurcoudouy Thank you so much Arthur! It's heartwarming to be compared to Superhuman, a giant, which has been an inspiration for us.
@arthurcoudouy @skwph Huge compliment - thank you. That’s exactly the level we’re aiming for!
@arthurcoudouy That means a lot, Arthur - thank you! 🙏
Congrats on the launch guys!
@quentin_le_gall1 Thanks a lot!
Thanks so much Quentin! :)
@quentin_le_gall1 thanks 😄
@quentin_le_gall1 ❤️
@quentin_le_gall1 Thank you so much!
Can't wait to try it!!!
@damien_henry1 We can't wait either!
@damien_henry1 can't wait to get your feedback :)
@damien_henry1 let us know what you think!
@damien_henry1 please share your thoughts later :)
@damien_henry1 Thanks, Damien! Hope you love it 🙌
Best team, best product!
@pierre_eliott_llt Thanks a lot 🙌 🙌
@pierre_eliott_llt we appreciate your support!
@pierre_eliott_llt thanks man, really appreciate this!
@pierre_eliott_llt Thank you so much Pierre Eliott!
Wonderful product !
Once you try it, you keep it forever !
@roman_cz Thanks so much Romàn! That's the goal 😄
@roman_cz 💪🏾💪🏾
@roman_cz Thank you so much Roman! i'm so happy you liked it!
@roman_cz ❤️
Pretty awesome inbox management. So much saved time!
@sdelbecque Glad you're flying through your inbox 😎
@sdelbecque love that you’re getting more of your day back!
@sdelbecque so happy to hear this!
@sdelbecque Thanks, Stephane! So glad it's saving you time 🙏