Thank you for #2 Product of the Day! What's the one thing you'd want automated after a call?
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We launched Shadow lat week and the response blew us away. Thank you to everyone who upvoted, commented, and shared. #2 Product of the Day means a lot to a small team building in public.
For those just discovering us: Shadow sits on your calls and gets the post-call work done while you're still talking. No extra time, no context switching, you hang up and the work is already in progress.
We're curious, what's the one thing on your post-call to-do list you'd want Shadow to handle first?
Drop it below. Every answer shapes what we build next.
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Congrats on the launch momentum... Do you noticed whether users value "speed after the call "more , or the reduction in mental load from not having to remember every follow up themselves ?
@joseph_walker2 Honestly , just having follow up notes and action items ready right after the call would already save a lot of mental energy.
@joseph_walker2 @charlotte_harris2 Follow up emails would be huge. Most calls end with action items, but me forgetting to send proper follow ups quickly creates delays.
@joseph_walker2 @charlotte_harris2 @deangelo_hinkle I would want automatic task creation connected to my project management tools. Turning conversations into assigned tasks instantly would save a lot of mental switching
@deangelo_hinkle Priority ranking of action items would probably help me most. After long calls everything feels urgent, so me getting a clear breakdown of what matters first would be valuable.
Shadow
@charlotte_harris2
This is one of the main reasons we built Shadow. AI Meeting assistants today are just well branded notepads. We found that most people want great notes yes, however, after talking to more and more people we realized that this case was far more valuable. Follow-up notes and actions items are all ready for you to insert into whatever workflow you want. Gmail, Slack, Notion, Jira and/or CRM.
Shadow
@joseph_walker2 Hey Joseph! Thanks for the question. Honestly, both, depending on who's using it.
Sales folks lean toward speed after the call. A prompt, well-structured follow-up keeps deals warm.
Solo operators, freelancers, and SMB founders care more about the mental load. They're stacking back-to-back calls and dread the to-do list that piles up after. Shadow takes that off their plate.
How are you handling cases where the AI misunderstands ownership of a task during the call?
Shadow
@graham_lewis Excellent question Graham!
Right now there's a human-in-the-loop checkpoint before anything fires.
Shadow surfaces what it heard, who it thinks owns each task, and lets you confirm or reassign before execution.
It catches the easy cases on its own (clear single-owner asks, explicit "I'll handle X" statements), but ambiguous ones get flagged for review. We'd rather miss an auto-fire than send the wrong follow-up to the wrong person.
Do users review the generated output often, or are some teams already trusting it fully without edits?
Shadow
@bradley_simon Great question. Right now there is a human-in-the-loop checkpoint before anything gets sent out/scheduled to anyone. We let you confirm or reassign items before you execute them. Eventually though as Shadow spends more time in your workflows, it should get more familiar with how your team operates in meetings. Becoming smarter over time and a crucial tool in your day to day workflow.
Interesting space, but accuracy matters way more than speed for something tied to client communication.
Shadow
@ashton_blake We value accuracy greatly. Today, you must close the loop on a conversation for said action to be triggered. Then once an action is triggered, you still have to confirm it on your end as the user before anything gets fired. For example:
Hersh: 'Ashton email me your updated proposal based off the meeting we just had with the client'
Ashton: 'Sure Hersh, no problem. I will get that new proposal drafted to your email ASAP.'
Shadow fires an action now that the conversation loop has been closed
Ashton (or the user in this case) has to confirm that the proposal is drafted correctly, maybe make some minor edits and then confirm to send it over to Hersh.
I hope this example made sense!
The real value might be reducing context switching more than saving actual time.
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@aurora_parker This is really interesting. Could you elaborate on this? Also have you had a chance to try Shadow in a meeting? :D
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@lakshminath_dondeti Pretty much exactly what we are shipping right now!
Mailwarm
For me, a clean follow-up email draft with the right tone, clear action items, and owners. Not fully sent automatically, but ready to review. That’s where I would trust AI the most today.
Shadow
@thamibenjelloun That is exactly where our team has put our energy towards. We have talked to so many different people who are in back 2 back meetings and they all complain about this one element on meeting to-do's. We still really value that human in the middle having the final say.