We Asked 5 AI Models to Rank TwinMind Against 14 Competitors

Here's What Happened

After almost two years of developing TwinMind, we've learned a lot. Users have been coming in with requests that range from ambitious ("Can we get a Chrome Extension? Web app? Mac app? Apple Watch? Android app?") to frustrated ("Why don't you respond on Discord?" "Please share your feature roadmap with us!") to the inevitable bugs that come with building something new ("The chats aren't syncing between devices." "Why can't I generate a summary?").

It's been overwhelming at times, honestly.

But then there are the messages that make it all worth it:

"I keep this app working in the background while I'm listening to lectures. So once I'm done with the live class, I can ask the AI to create me detailed notes. And I'm really amazed by the notes that it generates though - hats off to that."

"My sales manager has ADHD and suffers with boring tasks yet thrives on exciting face-to-face aspects of the job. He's always failed to give us a concise weekly sales report. TwinMind changed that."

Reading feedback like this gave us a boost. But it also made us curious: yes, our users love what we're building, but where do we actually stand in the broader market? How does TwinMind compare when evaluated objectively against the competition?

So we decided to run an experiment.

The Setup: Let AI Models Do the Research

Here's what we did. We created a single prompt describing what we believe a true "second brain" should do, listed TwinMind alongside 14 major competitors, and asked five different AI models to research and rank all of them.

No hints about which one we built. No coaching. Just pure research.

The five requirements we outlined:

1. Records audio throughout the day (meetings, conversations, daily life)

2. Automatically creates to-do lists from recordings

3. Sends daily reminders about tasks

4. Functions as a "second brain" that stores and organizes memories

5. Allows users to chat/query stored memories and recordings

The competitor list: Otter.ai, Fireflies.ai, Avoma, Notta, Supernormal, Granola, Voicenotes, Mem, HyNote AI, Obsidian, Evernote, Notion AI, OMI AI, and TwinMind.

We asked each AI to rank based on:

• How many of the 5 features each app actually has

• User reviews and ratings from across the web

• Real-world functionality and performance

Here's the exact prompt we used:

Search the web and identify which apps best match all of these requirements:

Must have:

• Records audio throughout the day (meetings, conversations, daily life)

• Automatically creates to-do lists from recordings

• Sends daily reminders about tasks

• Functions as a "second brain" that stores and organizes memories

• Allows me to chat/query my stored memories and recordings

Consider these competitors: Otter.ai, Fireflies.ai, Avoma, Notta, Supernormal, Granola, Voicenotes, Mem, HyNote AI, Obsidian, Evernote, Notion AI, TwinMind, OMI AI

Provide: A complete ranked list of ALL 14 apps from best to worst match. Rank based on three factors: 1) Feature match, 2) User reviews and ratings, 3) Actual functionality and performance.

The Results

Gemini 3.0 Pro: Ranked TwinMind #1 🥇
See full analysis

Perplexity Pro: Ranked TwinMind #2 🥈
See full analysis

Grok 4.1: Ranked TwinMind #2 🥈
See full analysis

Claude Opus 4.5: Ranked TwinMind #2 🥈
See full analysis

ChatGPT 5.2: Ranked TwinMind #2 🥈
See full analysis

One first place. Four second places.

We weren't expecting that level of consistency. These models didn't talk to each other. They pulled different sources, evaluated with different approaches, and came to remarkably similar conclusions.

What This Tells Us (And What It Doesn't)

Let's be honest about what this is and isn't.

This isn't a scientific study. We designed the prompt, we chose the criteria, and we obviously have bias here. But we tried to be fair. The requirements we listed are genuinely what we think a "second brain" should do, not features cherry-picked to make us look good.

What surprised us was reading through the detailed analyses each AI model provided. They pointed out things we hadn't even thought to highlight:

The all-day recording differentiator. Most tools are built for scheduled meetings. You open the app, hit record, close it when you're done. TwinMind captures everything throughout your day. Apparently very few competitors do this, and the AI models noticed.

The task extraction gap. Lots of apps transcribe audio. Some let you search transcripts. But automatically pulling out action items, creating to-dos, and sending you reminders? That combination is rarer than we realized.

The "second brain" vs "note-taking app" distinction. Tools like Notion and Obsidian are great for organizing what you already know. Tools like Otter are great for recording what you're currently hearing. But building a system that captures, organizes, and lets you query everything you've ever discussed? That's different. That's what the models kept highlighting.

Reading these analyses honestly felt validating. Not because they ranked us highly (though that helps), but because they articulated the problem we're solving better than we sometimes do ourselves.

Where We Actually Stand

Here's the reality: we've grown from 30,000 to 350,000 users in the last seven months. That's exciting. But we also have a Discord full of bug reports, a roadmap that keeps growing, and users waiting for features we promised months ago.

The rankings don't change that. They don't make our sync issues disappear or suddenly ship the Mac app people keep asking for.

What they do is confirm something we've felt but couldn't quite prove: we're building something different. Not better at everything, but different in ways that matter to a specific type of user.

We're here for everyone. Professionals juggling back-to-back meetings all day? We've got your back. Students drowning in lectures with no recordings or struggling to take notes without getting distracted? We've got your back. People dealing with ADHD, dementia, or amnesia who need reliable memory support? We've got your back too.

What's Next

We're not writing this to celebrate. Well, maybe a little. But mostly we're writing it because the experiment taught us something useful.

When AI models with access to thousands of user reviews, forum discussions, and product documentation consistently rank you in the top two, it means the market is seeing what you're building. It means the gap you identified is real. It means you're not just solving your own problem; you're solving a problem that exists at scale.

But it also means the expectations are higher now. We can't hide behind "we're just a small startup" anymore. We need to ship faster, fix bugs quicker, and actually deliver on the roadmap we keep promising.

So that's what we're doing.

If you want to see what the AI models saw, all five research reports are linked above. Read them. See if you agree. Try TwinMind yourself if you're curious.

And if you're one of the 350,000 people already using it, thank you. Thank you for sticking with us through the bugs, the missing features, the Discord messages that sometimes take too long to get answered, and for the feedback that genuinely keeps us going when things get tough.

You're the real validation. The AI rankings are just a nice bonus.