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Mindalike · Pre-Seed
The Collaborative
Operating System
for AI-Native Teams

AI generates code. Humans create products.
Mindalike is the collaborative operating system for AI-native teams.

Zerobase S4 · Seoul AltaLab × Deel Top 97 AI Startups · F6S Pre-Seed · 2026
BACKED BY & SELECTED FOR
Google for Startups Zerobase Deel

Mohd Murtuza Ali CEO  ·  Mirza Anwaarullah Baig CTO

www.mind-alike.com
01 — The Shift
Context
AI made building
faster. It made
coordination impossible.

Millions of builders can now generate code with AI — but the workflow infrastructure for teams building together with AI simply does not exist yet. That is the gap we are filling.

46%
of developers don't trust AI-generated code — spending 6–10+ hours per week manually fixing hallucinations and architectural failures
∞
Prompt loops — builders generate, hit failures, lose context, and restart from scratch. Alone. Every time.
0
Platforms built specifically for multiplayer AI-native software creation. Until now.
02 — The Problem
Four Coordination Failures
The bottleneck is no longer
code generation. It's coordination.
01
The Infinite Prompt Loop

Builders generate code → hit hallucinations → lose architecture → restart from scratch. This cycle repeats because AI has no persistent memory and no ability to coordinate recovery. Hours are lost. Progress stalls.

02
Solo AI Workflows Break at Scale

Every major AI tool — Cursor, Lovable, Replit — is optimized for single-player use. Modern product creation is collaborative. The infrastructure for teams to build together with AI does not exist.

03
Nontechnical Founders Hit a Wall

Founders can generate prototypes quickly. But they cannot reliably judge architecture, handle deployment, debug production failures, or assess security. They need human judgment inside the workflow — not outside it.

04
Collaboration Tools Aren't AI-Native

GitHub, VS Code Live Share, Slack — none were designed around AI agents, shared prompting, or persistent AI memory. They are retrofit solutions for a fundamentally different era of building.

The missing layer is The Collaborative Operating System for AI-Native Teams — the platform that sits between people building with AI.

03 — The Insight
"
AI can generate code.
It cannot judge.
The future problem is not output speed — it is:
Coordination Trust Architecture Shared context Ownership Product judgment Alignment Memory

The missing layer in AI software creation is The Collaborative Operating System for AI-Native Teams — the platform that sits between people building with AI.

04 — How It Works
Product Flow
From isolated prompting to
collaborative product creation
1
Generate

Founder creates an AI-generated prototype inside Mindavibe. Every prompt and scaffold is visible to all collaborators in real time.

2
Collaborate

Team enters the shared AI-native workspace. Context is persistent. No one starts from scratch. Everyone builds on the same foundation.

3
Escalate

AI workflow fails — hallucinations, architecture blockers. A scoped expert joins the live session instantly, no full repo exposure needed.

4
Ship

Bottlenecks resolved. Context intact. Product launched faster than any single team member could have done alone.

Mindavibe IDE screenshot
Mindavibe IDE

Main multiplayer coding environment with shared context, active collaboration, and the build surface where the product actually happens.

Session invite screenshot
Session Invite
Watch Mindavibe Workflow Demo Watch Collaborative Coding Demo
05 — The Product
The Wedge
One canvas. Multiplayer from day one.
⚡
Mindavibe — The Collaborative Build Canvas

A multiplayer AI-native IDE where teams generate, iterate, and ship together in real time. Shared prompts, synchronized cursors, live video bubbles, persistent project memory — all in one canvas. No context switching. No prompt loops. Just building together.

North Star: Weekly Collaborative Sessions per Team
🧠
Persistent Shared Context

Project memory, prompt history, architectural decisions — retained across every session and collaborator. AI loses context. Mindalike does not.

🔒
Scoped, Secure Collaboration

Permission-controlled access — prompt-only, branch-specific, time-limited. Collaborators see only what they need. Full repo never exposed.

What the wedge earns us the right to build (Roadmap): Human Escalation Layer (scoped expert access inside live sessions) → AI-Native Team Formation (matching from live build context) → Escalation Economy (platform fee on in-workflow expert collaborations).

06 — Why Now
Market Timing
Three shifts are converging.
The infrastructure doesn't exist.
1
AI generates software at scale

Millions of builders can prototype products in hours. The generation barrier is gone. The coordination barrier remains — and is growing.

2
Creation is becoming team-based

Individual AI tools are commoditizing. Competitive advantage now lives in how well teams coordinate around AI-generated work — not how fast any one person can prompt.

3
Existing tools weren't built for this

GitHub, Slack, and VS Code were designed before AI agents entered the workflow. They are foundational tools. They are not AI-native collaboration infrastructure.

"Mindalike is building The Collaborative Operating System for AI-Native Teams. The window for this is open. It will not stay open."

07 — Who We Build For
Two users. One platform.
A compounding network.
Svatlana
Svatlana
Non-Technical Founder
Goal
Move from AI prototype to a shipped, production-ready product
Pain
Trapped in infinite prompt loops with no trusted technical judgment to escape. Can generate. Cannot judge architecture or deployment.
✓ Builds inside Mindavibe with live human judgment in the loop. Escalates blockers instantly without giving full access. (Matching → Phase 2)
Adnan
Adnan
Technical Builder
Goal
Find high-impact projects and aligned co-founders who share the same direction and build intent
Pain
Can't find collaborators matching build context, vision, or direction through cold profiles or job boards.
✓ Uses Mindavibe to build and ship. Matching from live build context → Phase 2.
Phase 2 — AI-Native Team Formation: Every collaborative session generates intent signal. When the canvas has density, we match Svatlanas to Adnans from live build context — not cold profiles. The network compounds from the wedge outward.
08 — Differentiation
Competitive Position
From single-player to multiplayer.
That is the entire shift.
Old World
Solo prompting in isolation
Fragmented, context lost between sessions
AI hallucination loops with no escape
Full repo sharing or no sharing at all
Async debugging across disconnected tools
Searching for collaborators on cold platforms
Mindalike
Multiplayer AI workflows
Persistent shared context across sessions
Human escalation system embedded in workflow
Scoped, permission-controlled collaboration
Real-time collaborative debugging
Intent-based matching from live build context
Why can't incumbents just add multiplayer?

Cursor and Replit are adding multiplayer features. But multiplayer without persistent shared context and embedded human escalation is just screen-sharing. Figma didn't win because Adobe couldn't add collaboration — Figma won because it was built collaboration-first with a shared document model. Mindalike is built context-first with an escalation layer. The shared context graph (every prompt, decision, architectural choice retained across sessions) + the ability to bring a scoped expert into a live failing workflow — that is the structural advantage. Not "multiplayer." The infrastructure underneath it.

"Mindalike builds context-first. Multiplayer is the result, not the feature."
09 — Go-To-Market
Distribution
Start deep. Then grow wide.
Phase 1 — Seed the Right Community
50 deeply engaged startup teams. Not 10,000 random users.

We optimize for depth of engagement, not breadth of signups. The right early users generate the data, the word-of-mouth, and the retention curves that matter to investors.

Zerobase S4 cohort — immediate launch community
AI-native startup teams in accelerator programs
Hackathon builders who already experience the coordination pain
Indie founders building with Cursor, Lovable, Replit who hit team-stage walls
Waitlisted teams, Reddit and X communities ready to use
Phase 2 — Wedge Expansion (Post-GA)
Collaboration invites
Every active project naturally invites collaborators. The product distributes itself through every session started.
Shipped project showcases
Completed products built on Mindalike become social proof. Every launch is a distribution event.
AI-Native Team Formation
Matching from live build context — Svatlanas find Adnans, Adnans find projects. Network compounds from the wedge outward.

Investor signal: organic growth · network effects · low CAC

10 — Traction
Day Zero — Honest
This is pre-launch. The numbers are small.
That's because we're building real infrastructure.

We are not a thin AI wrapper chasing user counts. We are building multiplayer infrastructure — real-time sync, persistent context, scoped permissions — and that takes time to build right. The early signals below reflect organic pull, not growth hacking.

—
Weekly Collaborative Sessions — North Star metric (wedge MVP built to produce this)
150+
Waitlist signups — zero paid acquisition, 100% organic
$8K
Cloud credits secured — Cloudflare + Google AI
4×
Accelerator validation — GFS + Zerobase + AltaLab + F6S

What the wedge MVP must produce: "N teams ran M collaborative sessions this week, X% returned next week." That single retention number beats all vanity metrics. The MVP is instrumented to capture it from day one.

What we've already built
Mindavibe IDE — multiplayer AI coding environment
Real-time collaborative sessions — working demo
GFS Immersion 2026 — Antler × Google for Startups
Zerobase S4 — Seoul · Launching in first week
AltaLab × Deel — Accelerator Program

North Star Metric

Weekly Collaborative Sessions — volume and week-over-week growth rate

Usage Growth — Demo Day Target
0 25 50 75 100 W1 W2 W3 W4 W5 W6 Demo Day target
11 — Business Model
Revenue Model
SaaS seats now.
Marketplace later.

Per-seat SaaS on the collaborative canvas (Team tier: $40/seat/mo). The escalation economy — platform fees on in-workflow expert collaborations — activates only when the canvas has network density. Pre-seed investors need one line, not four tiers. This is it.

12 — Defensibility
The Moat
Features become commodities.
Networks become platforms.
🌐
Shared Context Graph

Project memory, architectural decisions, and prompt history compound over time. The longer a team uses Mindalike, the harder it becomes to leave — their entire build history lives here. Switching costs grow with every session.

🔁
Collaboration Network Effects

More builders generate more collaboration data, which improves matching, which attracts more builders. The network compounds. No competitor can replicate this without first building the network.

🏗️
AI Workflow Infrastructure

Mindalike is embedded in the creation workflow itself — not alongside it. Teams don't use Mindalike as a tool. They build inside Mindalike. That is a fundamentally different switching cost.

📊
Collaboration Data Moat

Every session generates proprietary signals: who builds well together, what failure modes map to what expertise, what project types succeed. No competitor can buy or replicate this data — it requires the network to exist first.

"We are not building an AI coding tool. We are building The Collaborative Operating System for AI-Native Teams."
That distinction is worth billions in perception — and in long-term platform value.
13 — Roadmap
Execution Plan
Five phases to the default
operating system for AI-native teams
1
Now · Zerobase WEDGE
Collaborative Build Canvas (Mindavibe)

Multiplayer IDE. Shared prompts. Persistent context. Real-time co-building. Scoped permissions. Live user feedback from Zerobase S4. North Star metric instrumentation from day one.

2
During Zerobase WEDGE
Persistent AI Memory

Full context retention. Session replay. Cross-project memory. Collaboration history. Infrastructure runway secured.

3
Demo Day → GA PHASE 2
Human Escalation Layer

Scoped expert access inside live sessions. Escalation routing. Public GA launch. Viral invite loops activated.

4
Post-GA PHASE 2+
AI-Native Team Formation

Matching from live build context. Reputation scoring. Trust infrastructure. Builder marketplace of intent — not labor.

5
Scale PHASE 3
Collaborative Operating System

The default OS for AI-native teams. Escalation economy at scale. Every AI-native startup runs on Mindalike.

Product roadmap screenshot
Product Roadmap

Roadmap board showing phases and completion status for execution proof.

14 — The Team
Founder Credibility
We didn't observe this problem.
We were the users.
Mohd Murtuza Ali
Mohd Murtuza Ali
CEO · Co-Founder

Business strategy and product vision. Won national hackathons including BITS Pilani Hyderabad and DataNyx Datathon. Drives GTM, partnerships, and community growth. Experienced the coordination pain firsthand across 15+ hackathons — building alone when the problem was always finding the right collaborator.

BITS Pilani National Winner DataNyx Datathon Winner GTM & Partnerships Product Strategy
Mirza Anwaarullah Baig
Mirza Anwaarullah Baig
CTO · Co-Founder

Full-stack engineer and AI builder. Won ETHGlobal hackathons globally (Unite, Taipei, New Delhi), Aptos Hacker House, BOSCH×IIT Hyderabad, Hackatania Italy. Built the entire Mindavibe multiplayer IDE, real-time sync infra, and AI orchestration layer. Harvard CS50 and Google AI for Impact certified. Received Polygon Ecosystem Grant.

ETHGlobal Winner ×3 Polygon Grant Recipient Full-Stack & AI Infra Real-time Systems
15+
Hackathons Won Together
5+
Global Hackathon Circuits
4
Accelerators Selected
Why We're Building This

"I was the guy 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."

15 — Vision
✦ The Collaborative Operating System for AI-Native Teams
The future is not
AI replacing humans.
It's humans orchestrating
AI systems — together.

The companies that define this decade will be the ones that owned the workflow between people and AI systems — not just the AI systems themselves. Slack won team communication. Figma won team design. GitHub won team version control. Mindalike wins team AI creation.

16 — The Ask
Angel / Pre-Seed Round
12–18 months runway · SAFE · Standard terms
What This Round Buys (Product Milestones)
Wedge shipped: Mindavibe collaborative canvas live with Zerobase S4 teams
N teams running M collaborative sessions/week with X% week-over-week retention
Persistent context layer + scoped permissions in production
Seed round readiness: traction metrics that speak for themselves
Mohd Murtuza Ali — CEO · mdmurtuzaali777@gmail.com
Mirza Anwaarullah Baig — CTO · manwaarullahb@gmail.com
Team — team@mind-alike.com
www.mind-alike.com
Use of Funds
⚙️
Real-time collaborative infrastructure and low-latency sync systems
🧠
AI memory, context persistence, and session replay architecture
🚀
Beta launch, marketing, partnerships, and GTM targeting AI-native startup teams
📡
Compute and AI infrastructure — extending Cloudflare and Google AI credits
The window for collaborative AI infrastructure is open. The category does not yet exist. That is what we are building — and execution speed is everything.