Shadow V2: The AI interface that sees, hears, and runs your prompts.

https://reddit.com/link/1tgo6kg/video/pormsjhhpu1h1/player

Hey r/MacApps!
I'm Jay, founder of Shadow.

Been posting Shadow updates here since 2024. You guys have made Shadow what it is today. Every bug report, every feature suggestion, every nudge to do better. Couldn't have done it without you!

For the past year, Shadow has been the AI meeting assistant that captures every word and slide without a bot in your call. That was always step one for us, not the destination.

Today is different. This isn't a feature update. Shadow just entered a completely new chapter.

# Problem & Solution

Execution isn't our job anymore. AI writes, codes, replies, decides. But we're still copying, pasting, and prompting to connect our world to AI. We've become the bridge. That feels backwards.

Shadow is what we built to fix that. It's an AI interface that lives on your Mac. Shadow sees what's on your screen, hears what you say, and runs the prompts you've built. Trigger a Skill on any screen with a keyboard shortcut. Reply to an email by speaking. Turn a rambling thought into clean writing in any text field.

Meetings got significantly better too: rebuilt transcription engine, improved speaker labeling, still no bot in your call, audio stays on your Mac.

# Comparison

vs. Granola: Granola has been the closest comparison to Shadow V1 since they also do bot-free transcription, and they're a great app. The difference is focus. Granola is a notepad. Shadow is built around running Skills, where meeting notes are just one of many. Shadow also identifies speakers and uses smart screenshots to capture what's on your screen. Granola does neither.

vs. Raycast: Raycast is a shortcut for repetitive tasks. You're at the center of execution, doing the work yourself. Shadow is a shortcut for AI actions. You're at the center of thinking, and Shadow connects your screen and voice to AI for you. Same hotkey paradigm, different center of gravity.

vs. Wispr Flow: Wispr is great at one thing: dictation. Shadow is flexible. You can build voice and screen Skills for almost anything you do on your Mac. Think of Shadow as Notion and Wispr as Linear. Wispr does one job exactly right. Shadow lets you build whatever you need.

# Pricing

\- Free forever: core features including transcription and smart screenshots

\- 2-week free trial of Pro

\- Pro: $12/month, or $8/month billed annually

Download: https://shadow.do

About us

I'm Jay (Founder & CEO).

Shadow is built by Taper Labs, Inc. (Delaware C-Corp).

LinkedIn: https://www.linkedin.com/company/shadowai/

Privacy Policy: https://shadow.do/legal/privacy-policy

Terms of Service: https://shadow.do/legal/terms-of-service

Happy to answer anything in the comments.

Curious what kinds of Skills people here would build first.

Jay

https://redd.it/1tgo6kg
@macappsbackup

What made me actually pay for an AI orchestration tool: Nyx’s free-form canvas
https://getnyx.dev

https://redd.it/1tgquay
@macappsbackup

After implementing feedback from r/macapps, I benchmarked MediaOrganizer Studio on a 25-year archive with 363k files. Here’s what happened.

[Problem\]

Managing large photo archives across multiple Macs, external drives, Photos libraries, exports, and backup folders often leads to structural fragmentation over time.

In the previous r/macapps discussion, heavy users pointed out operational issues involving deep folder structures, recursive scans and visibility during sustained execution sessions.

After implementing these changes, two additional operational problems became visible:

1.    The deep search was taking a long time to complete.

2.    Something was degrading long-running execution performance.

Those discussions ended up significantly reshaping the workflow behind MediaOrganizer Studio.

[Compare\]

• Unlike Apple Photos or Lightroom libraries, MediaOrganizer reorganizes files directly in folders before importing them.

• Unlike duplicate-cleanup apps, it also groups media by date, location and metadata consistency.

• Unlike simple file movers, it was tested on a fragmented 25-year archive with 363k files across multiple drives and Photos libraries.

[Pricing\]

$25 one-time purchase
App Store:
https://apps.apple.com/ch/app/mediaorganizer-studio/id6755330599

[Changelog\]

v1.1.0

Added optional Deep Search mode for recursive archive traversal
Improved handling of nested backup structures and large folder trees

v1.1.1

Reworked loading pipeline using incremental pagination for large folders
Improved long-running batch stability during sustained normalization sessions
Reduced throughput degradation during idle/screensaver transitions
Added structured execution audit logging for archive validation and troubleshooting

[AI Disclaimer\]

Text reviewed with AI assistance.
The app itself uses deterministic local processing and does not use AI/ML features.

A few months ago I shared MediaOrganizer Studio here and received very useful feedback from people managing large photo archives across Macs, Photos libraries, backup folders, Lightroom workflows, and external drives.

After implementing those suggestions, I ran a structured benchmark on my own 25-year media archive.

The benchmark processed 363,575 files, about 2 TB of mixed media, 10 Apple Photos libraries, and recursive folder structures with 8k+ folders. The pipeline ran for more than 392 hours during the benchmark period, averaging roughly 12 hours per day.

The most important changes that came out of this were incremental paginated loading, improved Deep Search handling, better long-running stability, and structured execution audit logs.

I also documented the benchmark observations, workload behavior, and operational results in much more detail during the execution process.

If anyone is interested, I can share the PDFs and benchmark files in the comments.

https://redd.it/1tgku4x
@macappsbackup

AutoShelf Lifetime – Watch your folders and auto-organize files with simple rules, templates, and multi-condition matching

https://redd.it/1tgo2sq
@macappsbackup

Shadow V2: The AI interface that sees, hears, and runs your prompts.

https://redd.it/1th591a
@macappsbackup

What’s still worth building in the clipboard manager space

Every two weeks, I see someone announcing a new clipboard manager. Honestly, it’s become a running joke at this point.

We already have some genuinely beloved apps in this category. Maccy is the minimalist leader relied upon by many. Pastebot remains the go-to for power users, thanks to its filters and one-time purchase. Raycast and Alfred have excellent built-in history features. These tools already address everyday needs very well.

In my view, after Apple introduced native clipboard history in Tahoe, the bar was raised significantly. I feel most new apps seem to solve problems that are already well addressed. If I were advising a fellow developer considering this category today, I’d recommend focusing on three areas:

1. AI-native semantic search that runs locally
2. Proper end-to-end encrypted sync across devices
3. Advanced developer workflows with structured transforms and secret handling.

PS: Just sharing my observations after spending time examining the market. I’m not here to mock or criticise anyone building in this space. I genuinely want to see the category improve and believe these areas hold the most potential.

https://redd.it/1th9pzs
@macappsbackup

I set out to build a "batch resize" tool. 10 months later I accidentally built a Lightroom competitor.

https://redd.it/1thdwkw
@macappsbackup