Shadow 2.0 - The work your meetings create, done before they end

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Every online call creates a to-do list. Shadow clears it live. It understands your conversation, tracks what needs to happen, and executes tasks in real time. PDF creation, slide generation, CRM updates, follow-ups, and scheduling before the call ends. Our goal is to have no post-call work. Just stay focused while Shadow handles everything in the background. Starting with core workflows and expanding to everything your calls create.

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Hi Product Hunt 👋

Shadow is a real-time AI on the call that completes your post-call to-dos while you're still on the call

The problem: A user told us something we couldn't ignore:

"I go into back-to-back calls. I miss my meals. Someone wants a proposal, someone wants metrics, someone wants a follow-up. I hang up, and there's a new to-do list every single time. I feel like a robot just running endlessly."

We did the maths. 5 calls a day. 20 minutes of post-call admin. 5 days a week. That's 8+ hours — one full working day — lost to busywork, every week.

The solution: Shadow was already on the call. It already had the context. So we asked: what if it just handled the to-dos before you hung up?

While you're still talking, Shadow detects action items in real time and executes them. Today, that means:

  • 📝 Notion doc creation: notes and summaries written as you speak

  • 📅 Follow-up meeting scheduling: booked before you hang up

  • 📧 Draft email: written automatically based on what was discussed

Coming soon: Slack, Salesforce, Jira, Google Sheets, PostHog, GitHub, LinkedIn, Twitter and more. This is just the start.

What's new in Shadow 2.0: We've moved from a browser app to a native desktop app.

Shadow now:-

  • Auto-detects your meetings the moment they start, no manual setup

  • No bot joins your call, invisible to everyone else. It just works.

Who is it for? If you live on calls, sales, consulting, recruiting, ops, Shadow was built for you. Anyone who goes over back to back calls.

One question, If you could automate one thing that happens after every call, what would it be?

Drop it below, it might be the next thing Shadow handles.

Shubham

Co-Founder, Shadow

shadowlabs.ai

 Shubham said it perfectly.

We’re building Shadow because post-call work shouldn’t wait until after the call - the context is already there while the conversation is happening.


Today it handles emails, Notion docs, and scheduling in real time. The bigger vision is to let people leave calls with the actual work already done.

 One of the problems every industry, every professional role relates to.
As a dev, I hate updating tickets, creating tickets, Productivity tracking platforms had become counter-productive for me.

 Many congrats Shubham, Hersh and team! :)

How I met the makers?

I first came across Shadow through the team and the moment they walked me through what they’re building, my first thought was: “Wait… was this made for me?”

What is Shadow?

Shadow is a real-time AI agent that sits on your calls and turns conversations directly into done tasks (notes, follow-ups, docs, and next steps) before the meeting even ends.

As someone running a high-demand consulting business, I spend ~7 hours a day on calls and spoke with 1,300+ founders last year. After every call, I usually spend another 15–30 minutes processing notes, sending follow-up emails, and organizing next steps.

Why I endorse it?

A tool like Shadow doesn’t just sound useful, it feels like getting a full working day back every week.

I’ve also had the chance to work closely with the team on feedback ahead of launch, and they’ve been incredibly fast, agile and obsessed with getting better.

That combination of a sharp product and a hungry, execution-focused team is exactly why I’m excited to endorse both Shadow and the ambitious makers building it! :)

 This genuinely means a lot, Rohan. Thank you.

The "was this made for me?" moment is exactly what we've been building towards. We started Shadow because a user told us she felt like a robot running endlessly between calls. That stayed with us.

7 hours a day on calls, you feel this more than most. The fact that it resonates with someone who's lived this problem at that scale means we're on the right track.

Really grateful for your trust, your feedback, and for being part of this journey. This is just the beginning.

   this means a lot - especially coming from someone who lives on calls and has felt the follow-up pain firsthand.

Your feedback before launch genuinely helped us sharpen what Shadow should do: not just record or summarize meetings, but actually turn the conversation into completed work before the call ends.

Curious - from all your calls with founders, what’s the one post-call task you think wastes the most time: follow-up emails, notes, scheduling, or sharing docs?

   
Thanks a ton Rohan!
That moment you mentioned that our product was made for someone like you truly put a smile on our faces.
It validated that this is a problem that needs solving.
We appreciate your feedback and thanks for joining us on this ride. We're just getting started!

 There are a lot of tools that do this currently, Krisp, Granola, etc...you get the idea.

But I love the immediate integrations that Shadow offers, nobody lives inside of just 1 tool, so this is very helpful! Good luck!

 Totally agree - there are already a lot of tools in this space.

The part we’re trying to push harder on is not just capturing what happened, but helping get the actual work done across the tools people already use. Because yeah, nobody lives in just one app.

Appreciate you checking it out - curious, which integrations would make this most useful for your workflow?

   I like the way you phrased this a lot. You aren't building a tool that everyone needs to adjust their workflow around but instead trying to accommodate and integrate with the tools people already have. Your already on the meeting might as well have a tool that can do a lot of the follow up work automatically instead of just being a note taker. Also "Shadow" is a great name by the way.

   Thanks. Super helpful, what you just mentioned.

 The way I see it, those tools solve better note-taking. We solve on-call actions. Two very different problems, UX, architecture, and roadmap. Looks similar on paper, excruciatingly different in execution. They provide ears, we provide brains and limbs to take action live.

 Gabe! Thank you for supporting our launch.
Our whole team thanks you!

 Moving to a native desktop app was definitely the right move for stability. Does the real-time execution handle interruptions well? For example, if we pivot a meeting halfway through, does the draft email update itself or do we get multiple versions

How is this different than the other AI meeting assistants? whats the differentiator? The innovation? The novelty? :D How does it stand out from the 1000s of live meeting HUD AI systems for meetings? Sorry for the roasty question. but you asked for it so here it is 😸

 Sharing an analogy, one of our users gave,
"I have been paying salary to AI assistants that only had ears, finally something that comes with hands and legs... getting work done is what was needed, not dumping notes"

 Okay i'll bite. What type of work can it complete?

 fair question - and probably the right roast 😄

The way we think about it: most AI meeting assistants are built around capture - record the call, summarize it, extract action items, and give you something to process after.

Shadow is built around execution during the call.

So instead of ending with “here are your action items,” Shadow helps complete them while the context is still live - draft the follow-up email, create the doc, schedule the next meeting, prepare the next-step task - with the user reviewing/approving before anything goes out.

The novelty isn’t “AI understands meetings.” The bet is: meetings should end with the work already done, not with another to-do list.

Curious - what would make this feel truly different for you: acting during the call, approval before execution, deeper tool integrations, or better context from past meetings?

 Okay so the promise land is doing work before the meeting is over. so not actual work more like meeting assistant chors. like 1 creating summary,2. sending followup meeting emails, 3 prep todo lists of meeting context but lots of meeting AIs handle all that already. Otter, Fireflies, Avoma, even zoom does this now ref this breakdown: . What makes shadow different? Im asking because this is crucial to get right. Users only convert to new users if they can clearly understandhow your product makes their life better. If they cant clearly understand that, no conversion happens. Right now your not making your differentiator clear for that to happen. You know what I mean? only trying to help here. product communication is tricky!

 you’re right - and I think our earlier explanation made Shadow sound too close to the existing “summaries + action items + follow-up drafts” category.

The difference we’re aiming for is more specific:

Most meeting assistants work like this:

meeting → transcript/summary → action items → user does the work later

Shadow is built to work like this:
meeting → detects the action live → prepares the actual output → user approves → work is done before the call ends

For example:

  • “Can we track this bug?” → Shadow creates a Jira ticket with title, description, priority, owner, and acceptance criteria

  • “Let’s send them an NDA” → Shadow drafts the NDA from the right company template, fills in the customer details, and prepares it for approval

  • “We need a contract for this scope” → Shadow creates a first draft from the approved template with scope, pricing, timeline, and terms discussed on the call

  • “Let’s meet next week” → Shadow creates the calendar invite before the call ends

  • “Send me the proposal” → Shadow drafts the email and attaches/shares the right doc

The important part: Shadow doesn’t silently act on its own. The user reviews and approves before anything is sent, created, or scheduled.

So the differentiator is not transcription, summaries, or action-item detection. Those are table stakes now.

The differentiator is: turning live meeting intent into approved execution inside your tools before the meeting ends.

 Gotcha. so its the "one-click approval before hangup" thats the real differentiator. why didnt you just say that to begin with? That really neat! I could find only one true competitor: full breakdown analysis:

 fair roast!

Most tools are just Voldemort's diary: Self-writing, forever. We're building a chief of staff.

They're stuck at note-taking. We're solving getting work done. 😄

This is almost like a agent that listens to call and does things or am I missing something?

 Absolutely! It is hooked to any work that comes your way and lives to get it off your plate. More than agent, we aim to make a personal ai for you. One with personality and one who knows you! Would de

 Yes! Shadow listens during the call, understands action items, and can complete things like emails, Notion docs, follow-ups, or calendar scheduling in real time.


The key difference is that it doesn’t just “auto-do everything” silently — the user stays in control and acknowledges actions before Shadow completes them.


Curious, what would be the first thing you’d want an agent to handle for you during a call?

 Imagine a product that offers you time.
And I'm sure you can't put a price on that. ... :P

This one feels personal. I have struggled with the pile of follow-ups after almost every call, and it’s honestly the most draining part of meetings for me. Love how clearly you have defined the problem and the direction to solve it. Really excited to see how this evolves.

 this means a lot - that pile of follow-ups after every call is exactly the pain we kept hearing again and again.

We’re trying to make the call itself the place where the work gets completed, not just captured for later.

Curious - what’s usually the most draining follow-up for you: writing emails, creating docs, updating tasks, or scheduling next steps?

 For me it’s honestly the context switching more than anything else. Writing follow-up emails, updating tasks take time, but the real drain is jumping between tools and trying to piece together what was discussed. If that part gets smoother, everything else feels much easier.

 worry no more, Shadow is here !
Start planning for what you'll do with the immense free time coming your way.

 Glad to hear! We want the world to know the meaning of productivity category!

Hey Product Hunt 👋


We’re excited to launch Shadow today.


We started building Shadow because we kept seeing the same problem again and again: meetings don’t really end when the call ends.


You finish the conversation, but the actual work is still waiting for you:

  • writing follow-ups,

  • updating tools,

  • creating notes,

  • sharing docs,

  • assigning next steps, and

  • trying to remember everything that was promised.

Most AI meeting tools help capture what happened. That’s useful, but we felt the bigger opportunity was not just capturing action items, but helping complete them while the conversation is still happening.


That’s what Shadow is built for.


Shadow listens during the call, understands the context, and helps complete meeting actions in real time - so by the time the call ends, the follow-ups, updates, and next steps are already moving.


We’re still early, but we strongly believe meetings should lead to finished work, not more work after the meeting.


Would love to hear your thoughts, feedback, and questions.

 Mayank is the AI (Anant Intelligence) behind our AI orchestration

This is actually super relatable 😅 every call quietly turns into a mini to-do list.
Love the idea of handling things during the call instead of after. Curious how well it picks up on action items in meetings with larger groups (>10 people)

 Hey Ajay, really glad it resonates!

Great question, larger group calls are something we're actively working towards. Right now Shadow works best in smaller focused calls, but scaling it up is on the roadmap. Would love to keep you in the loop as we get there!

exactly — that “mini to-do list after every call” pain is what pushed us to build this.


For larger groups, we’re focusing on picking up clear ownership, decisions, and next steps without turning every discussion point into noise.


Curious - in your experience, do action items get missed more in large internal meetings or customer calls with multiple stakeholders?

 Hi Ajay, glad to hear you resonate

This sounds incredibly exciting, a strong, well-thought-out solution to a genuinely frustrating problem. It’s amazing to think how seamlessly tasks could get done in no time, without needing constant hands-on effort.

 Our team shares the excitement of the possibilities this product opens up! Feel free to share any particular use case you have in mind.

 AI taking over our jobs... jobs we didnt care about anyway :P

 Exactly - the goal is to reduce the constant hands-on effort after every call without taking control away from the user.

Shadow should quietly prepare the work in real time, and you just review/approve what needs to happen.


Curious - which task do you think people would want automated first: follow-up emails, docs, scheduling, or task creation?

I'm the dev, AMA

 Is there a page I can read about what tasks it can actually automate after calls?

   Yes, we’re putting together a clearer page for this.

Right now, the tasks Shadow can help with are mainly around Gmail, Calendar, and Notion.

So things like:

  • drafting follow-up emails

  • scheduling meetings

  • creating/updating notes or docs in Notion

  • capturing next steps from the call

  • turning discussed action items into something you can review and approve

We’re starting with these because they’re some of the most common tasks that come out of meetings. More integrations and task types are coming next.

Hi Product Hunt,

Built Shadow because the real cost of a meeting isn't the meeting, it's the hour of follow-ups afterward. Shadow sits in your calls and handles the action items for you: emails sent, docs updated, tasks created. You just review and approve. Excited to share it with PH!

 Priyansh has been deep in building the actual “review and approve” layer - because the goal was never to let AI blindly do things on your behalf.

Shadow should handle the busywork, but you stay in control before anything gets sent, created, or scheduled.

Can it also handle figma updates on the fly? That would be crazy as hell

 not yet, but it’s coming soon.


We’re starting with the most common meeting actions first — emails, docs, follow-ups, and calendar scheduling - but Figma updates on the fly is exactly the kind of workflow we want Shadow to handle next.


Curious, what Figma action would you want it to do during a call - update copy, create a quick wireframe, or make design tweaks?

 Give ideas on your own risk... They may get implemented and launched

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