AI Product Engineer · System Architect · AI & Web3 Strategist
I build products at the edge of thought — turning rough ideas, useful information, and overlooked problems into tools people can actually use.
I’ve spent 12+ years in Web2 marketing, 4+ years in Web3 strategy, and I’ve been teaching myself how to build since 2014. Today, I work across product strategy, system architecture, AI, SaaS, developer tools, and on-chain products.
I’m also the founder of BlindspotLab — an AI-native product studio for founders and teams who are nearly there, but need sharper thinking, stronger systems, and better execution.
I don’t just want to build more. I want to build things that make sense.
- Turn early ideas into clear, buildable products
- Design product systems before touching the code
- Build AI-native SaaS, developer tools, and Web3 products
- Audit positioning, product direction, UX, and architecture
- Use AI as leverage without giving up judgement
- Help useful ideas survive beyond a post, thread, or timeline
I think like a strategist before I build like an engineer.
A high-signal discovery platform for serious solo builders who ship.
An AI-native product studio for founders and teams who need strategy, design, systems, and execution.
The architectural brief before a code change.
An open-source, local-first CLI that helps developers and coding agents understand a repository before changing it.
- GitHub
- npm:
@blindspotlab/stackbrief
A website and product audit SaaS that gives builders direct, practical feedback on what is broken and what to improve.
A SaaS tool for freelancers, studios, agencies, and solo builders to research prospects, run SEO audits, create better cold outreach, and share branded preview websites.
A personal greetings product built to help people express care in a more thoughtful and less generic way.
A meal discovery product built around a large catalogue of meals and practical food exploration.
A Web3 builder identity product that turns GitHub activity and credentials into something visible, social, and on-chain.
An interactive guide to the UK Global Talent visa route for designers.
A small, focused product that turns time into something visual, shareable, and surprising.
I have built 40+ products, tools, experiments, and platforms across AI, developer tools, SaaS, and Web3.
Some are live. Some are paused. Some were hackathon builds. Some were experiments. All of them are part of how I think, learn, and improve.
- Product strategy
- Product positioning
- Opportunity discovery
- MVP scoping
- Feature prioritisation
- Monetisation thinking
- Product audits
- Rebuild vs focused-improvement decisions
- AI-native product development
- System architecture
- Full-stack SaaS development
- Developer tools
- RAG systems
- API integrations
- On-chain product development
- Repository analysis and codebase planning
- Product-led visual direction
- UX thinking
- Design systems
- Responsive product design
- Interface critique
- Design psychology
- Font pairing and visual language
- Web2 and Web3 growth strategy
- Product storytelling
- Builder positioning
- Distribution thinking
- Cold outreach strategy
- Hackathon strategy
- Turning useful content into lasting products
Next.js · TypeScript · React · Supabase · Firebase · Prisma · PostgreSQL · MySQL
OpenAI · Claude · Gemini · OpenRouter · RAG · Prompt Engineering
Solidity · Base · Wagmi · On-chain integrations
ChatGPT · Codex · Claude Code · GitHub · Vercel
I have also worked with MongoDB and continue to explore tools based on what each product actually needs.
I believe the input shapes the output.
Your input is the AI output.
AI can move fast, but speed without judgement creates noise. My role is to bring the thinking, context, structure, taste, and discipline that make the final product intentional.
I do not believe every product needs a rebuild.
Before rebuilding, I ask:
- What is the exact problem?
- What outcome do we need?
- What must remain untouched?
- Can a focused fix solve it?
- What new risks will a rebuild introduce?
I prefer the smallest strong move over unnecessary complexity.
I use DAETO to move from an unclear idea to a product that can be built, shipped, measured, and improved.
Understand the problem, user, context, market, constraints, and real opportunity.
Choose the right product direction, positioning, architecture, and execution path.
Build the smallest strong version with clear priorities and disciplined scope.
Measure what is working, what is failing, and what users are actually doing.
Improve the product based on evidence, not assumptions or random feature additions.
- Just write it down, build it, ship it.
- Think before prompting.
- Understand before changing.
- Improve before rebuilding.
- Use AI as leverage, not as a replacement for judgement.
- Do not let useful ideas vanish into the timeline.
- Build products that are clear, useful, and intentional.
I describe myself as a productivity-first developer because I care about making progress, but I also care about whether the progress is moving in the right direction.
I’m focused on becoming one of the most sought-after AI Product Engineers, AI Consultants, and System Architects in the years ahead.
Right now, I’m building, learning through real products, competing in hackathons, sharpening my systems thinking, and turning the work into stronger opportunities, useful connections, and revenue.
- Portfolio: mojeeb.xyz
- X: @MojeebMotion
- LinkedIn: @tmojeeb
- GitHub: @mojeebdev
- Devpost: @mojeebdev
- YouTube: @tmojeeb
I build at the edge of thought.