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Mindalike · Pre-Seed
The collaborative
AI coding platform

Build software together while AI writes the code.

Zerobase S4 · Seoul Top 97 AI Startups · F6S Pre-Seed · 2026
BACKED BY & SELECTED FOR
Google for Startupsx
Immersion
ZerobaseS4 · Seoul

Mohd Murtuza Ali CEO  ·  Mirza Anwaarullah Baig CTO

www.mind-alike.com
01 · The Problem
Coordination Gap
AI made coding faster.
It didn't make building together easier.
Context gets lost

Two people start building. One explains the architecture on a call. The other builds in their own editor. By tomorrow, the contexts have diverged. Nobody remembers what was decided.

Prompts aren't shared

Every builder develops their own prompting style. When they work together, the AI sees fragmented input. The output reflects it.

Decisions disappear

Architecture choices, trade-offs, product decisions. They happen in conversation, not in the tool. Next session, they're gone.

Building moves to Discord

The actual coordination happens in chat apps, voice calls, screen shares. The building tool is just where the code lives. The real work is scattered.

The bottleneck is shifting from code generation to coordination.

02 · Why Now
Three Shifts
Three shifts are converging.
The infrastructure doesn't exist yet.
1
AI made software creation cheap

One person can now build what previously required a team. The generation barrier is gone. The coordination barrier is just getting started.

2
Building is becoming multiplayer

People increasingly build through AI, communities, agents, and distributed expertise. The unit of creation is shifting from the individual to the group.

3
The coordination layer hasn't caught up

Today's tools still assume a single builder. Cursor, Lovable, Replit. All single-player. The infrastructure for teams building with AI does not exist.

"AI changed the cost of creation. Mindalike changes the way creation happens."

03 · The Product
Mindavibe
Build together, not alone.
A
Builder A
Ideas, prompts, judgment
Mindavibe Session
Shared context · Shared prompts · Real-time
B
Builder B
Skills, code, expertise
Working product, built together
Shared context

Project memory, prompts, and decisions persist across sessions and collaborators.

Shared prompts

One AI, one conversation. Both builders contribute to the same prompting thread.

Real-time collaboration

See each other's cursors, edits, and AI output as it happens.

From prompting an AI alone to building with people.
04 · How It Works
Workflow
Idea to product, together.
1
Start

Bring an idea or join someone else's. Every prompt and decision is visible to all collaborators from the start.

2
Find

Invite a collaborator or get matched. Enter a shared session where the AI context is already built up.

3
Build

Prompt together. Edit together. The AI handles the code. You handle the judgment, taste, and direction.

4
Ship

Context intact. No one started from scratch. Product launched faster than either builder could have done alone.

Mindavibe IDE
Mindavibe IDE

Multiplayer coding environment with shared context and real-time collaboration.

Session invite
Session Invite
Watch Workflow Demo Watch Collaborative Coding Demo
05 · Why It's Different
Positioning
Others add collaboration to AI coding.
We're building AI coding around collaboration.
AI Coding Multiplayer Persistent shared context
Cursorlimited
Lovablelimited
Replitpartial
Mindalikebuilt around it
"Mindalike builds context-first. Multiplayer is the result, not the feature."
06 · Initial Users
Target
Builders who already feel
the coordination pain.
AI-native builders

People already using Cursor, Lovable, Replit, or Claude to build products. They've felt the wall where solo prompting stops working and coordination begins.

Indie hackers

Solo builders who want to ship faster with a collaborator but don't have a co-founder or team. They need a way to find the right person and build together immediately.

Small startup teams

2-5 person teams building with AI. They need shared context, shared prompting, and a way to bring in expertise without giving full repo access.

🌍
Hackathon builders

Teams that form fast, build fast, and need to coordinate under pressure. The exact environment where Mindalike's value is obvious within minutes.

Why they come: building with another person is better than building alone. The session creates relationships. Relationships become projects. Projects attract more builders.

07 · Early Signal
Day Zero
Pre-launch. Early signal.
Real infrastructure.
200+
People on the Mindalike waitlist. Zero paid acquisition. All organic.
$0
Revenue. Pre-revenue by design. Building infrastructure, not chasing user counts.
What we've earned so far
Mindavibe IDE built
Real-time collaborative sessions working
GFS Immersion 2026
Zerobase S4 · Seoul

What we're proving next: "N teams ran M collaborative sessions this week. X% came back next week." That single retention number beats all vanity metrics.

08 · Why Mindalike Wins
Founder Insight
We didn't observe this problem.
We were the users.

I spent the last several years building in high-intensity environments where small teams had to turn ideas into working products quickly. Hackathons. AI projects. Web3 builds. Multiple teams, multiple collaborators, multiple tools. The tools got dramatically better. The collaboration layer didn't. Every time, the same gap: building is easy; coordinating builders is not. Mindalike came from experiencing that gap repeatedly.

Mohd Murtuza Ali
Mohd Murtuza Ali
CEO
BITS Pilani WinnerDataNyx WinnerGTM & Partnerships
Mirza Anwaarullah Baig
Mirza Anwaarullah Baig
CTO
ETHGlobal ×3Polygon GrantFull-Stack & AI
Why we're building this

"I was the person at ETHGlobal who stopped finding collaborators and built alone. Every hackathon, same story: great builders, no way to find each other mid-build. We needed Mindalike. It didn't exist. So we're building it."

09 · Market & Expansion
The Path
The product gets stronger
as more builders join.
Now
Wedge
Collaborative AI coding

Two builders. One session. Shared context. The wedge proves that people prefer building together.

Next
Expansion
Persistent collaboration

Sessions become projects. Projects become relationships. Context compounds. Switching costs grow.

Then
Scale
AI-native teams

Find collaborators. Match with experts. Build with AI agents. The coordination layer becomes the operating system.

"Two users create a session. A session creates a relationship. A relationship becomes a project. More projects attract more builders. The network compounds from the wedge outward."

10 · Business Model + Roadmap
Revenue + Plan
Simple model. Clear next steps.
Free

Build and collaborate. Full access to the core Mindavibe experience.

Pro

More AI usage, advanced collaboration features, and project capabilities.

Teams

Shared workspaces, collaboration infrastructure, and higher limits.

Now
Collaborative AI coding

Prove that builders prefer building with others. Instrument retention from day one.

Next
Persistent collaboration

Sessions, context, projects, relationships. Build the switching cost layer.

Then
AI-native teams

Experts, collaborators, and AI agents working inside the same workflow.

Long-term: Mindalike becomes the infrastructure for AI-native teams. SaaS seats now. Platform fees on expert collaborations later.

11 · Vision & Close
The future is not
AI replacing humans.
It's humans orchestrating
AI systems, together.

The companies that define this decade will own the workflow between people and AI systems. Slack won team communication. Figma won team design. GitHub won team version control. Mindalike wins team AI creation.

Angel / Pre-Seed Round
SAFE · 12-18 months runway · Standard terms
What this round buys
Mindavibe collaborative canvas live with Zerobase S4 teams
N teams running collaborative sessions with week-over-week retention
Persistent context layer and scoped permissions in production
Seed round readiness with traction metrics that speak for themselves
Mohd Murtuza Ali
Mohd Murtuza Ali
CEO
Mirza Anwaarullah Baig
Mirza Anwaarullah Baig
CTO
Mohd Murtuza Ali · mdmurtuzaali777@gmail.com
Mirza Anwaarullah Baig · manwaarullahb@gmail.com

The window for collaborative AI infrastructure is open. The category does not yet exist. That is what we are building.