Mongolia-based builder team
20+selected builds across AI, web, security, data, and tools
3focused members with clear technical roles
1team standard: useful projects, clean execution
Build useful systems. Secure the details. Ship the proof.
NOtFound_404 is a small engineering team focused on practical AI systems, full-stack product development, defensive cybersecurity, CTF depth, and polished user experiences. The team values working demos, clear technical thinking, and projects that can be opened, tested, and trusted.
Team identity
A sharper brand for a serious builder team.
The team is positioned around three principles: build real products, practice security responsibly, and present technical work with clarity.
Build · Secure · Ship
This line captures the team’s operating style. Build means turning ideas into working systems. Secure means thinking carefully about risk, validation, and defensive practice. Ship means making projects understandable, usable, and ready to show.
AI-first products
Full-stack execution
Defensive security
Clean public proof
Useful over decorativeEvery project needs a real workflow, a clear user, or a practical learning outcome.
Security without hypeCTF and security work stay ethical, defensive, and skill-focused.
Proof over claimsRepos, demos, reports, interfaces, and project stories make the team credible.
Polish as a standardThe team cares about spacing, hierarchy, copy, responsiveness, and how the work feels.
What we do
Focused work across product, AI, and security.
The team combines engineering execution with security awareness and product presentation. That mix makes small projects feel complete and credible.
Small team. Wide stack. Clear output.
The team works best when a project needs both execution and taste: an interface that feels good, a system that works, a security mindset that avoids careless decisions, and documentation that makes the result easy to judge.
- AI systems for tutoring, analysis, recommendations, proof, and workflow support.
- Full-stack builds using JavaScript, React, TypeScript, Python, FastAPI, Flask, SQLite, and APIs.
- Defensive security projects with risk scoring, safe recommendations, and report-style outputs.
- CTF learning across web, crypto, forensics, reverse basics, Linux workflow, and writeups.
AI workflows
Assistants, tutors, scoring logic, structured reports, and practical automation.
Full-stack apps
Responsive interfaces, backend APIs, database flows, and deployable prototypes.
Security tools
Code review concepts, URL analysis, CTF helpers, risk explanations, and safe testing.
Frontend craft
Motion, visual hierarchy, dashboards, canvas experiments, and product-grade layouts.
Skill system
Professional capability matrix.
The team’s skill profile is framed like an engineering capability board: each area shows foundation, applied output, and project proof.
AI engineer. Full-stack developer. Security-aware builder.
NOtFound_404 is strongest when skills overlap. AI becomes more useful when it has a real UI, backend logic, data flow, and a clear user problem. Security becomes more valuable when it improves the quality of the system instead of existing as a separate label.
Capability
Foundation
Applied output
Proof direction
Core
AI engineering
LLM-assisted workflows, structured outputs, validation, recommendation logic, and user-focused automation.
Python + product logic
FastAPI, Flask, Pydantic-style structure, API design, SQLite, and practical backend patterns.
Useful AI systems
Tutors, proof engines, assistants, dashboards, reports, and analysis flows with clear user value.
BreachPilot / TUTall / SkillProof AI
AI projects that connect workflow, interface, output quality, and presentation.
Core
Full-stack development
Frontend, backend, APIs, persistence, deployment flow, responsive design, and maintainable project structure.
Web + APIs
HTML, CSS, JavaScript, React, TypeScript, Python services, REST patterns, and data handling.
Complete prototypes
Working demos with UI, logic, state, data, documentation, and a clean public path.
TaliinAtlas / Store AI / MoodMeal
Full-stack product directions with real user flows and understandable outputs.
Core
Defensive cybersecurity
Secure coding awareness, risk scoring, suspicious link analysis, static review ideas, and safe recommendations.
Security fundamentals
Linux, networking basics, web security concepts, reporting, careful testing, and ethical practice.
Risk-aware tools
Security reviews, URL checks, report generation, analyst-style summaries, and safer decision support.
DevGuard AI / AegisLink
Defensive tooling direction connected to clear findings, explanations, and report outputs.
Applied
Product UI / UX
Visual hierarchy, responsive layouts, motion, hover states, dashboards, product pages, and interaction clarity.
Frontend craft
Clean CSS, component thinking, layout systems, canvas interaction, and polished presentation.
Memorable interfaces
Interfaces that help projects feel trustworthy, usable, and easier to evaluate.
HuruInk / HelioGuard / portfolio work
Gesture UI, dashboards, and public pages that show visual taste and interaction thinking.
Applied
CTF capability
Legal challenge practice across web, crypto, forensics, reverse basics, Linux workflow, and writeup discipline.
Problem-solving discipline
Debugging, enumeration, repeatable notes, scripts, challenge analysis, and careful validation.
Security learning pipeline
CTF practice becomes stronger engineering judgment and better defensive instincts.
Crypto Tool / my_ctf_tools
Helper scripts and workflows that support consistent challenge solving.
Projects
Selected builds from the team ecosystem.
A curated set of AI tools, full-stack prototypes, security utilities, frontend experiments, data projects, and team-oriented concepts.
Team
The people behind the builds.
A compact team profile focused on role clarity, technical direction, and the kind of work each member contributes.
BE
Bayarbayasgalan leads the team with a product-first engineering style. His work connects practical AI systems, defensive security workflows, frontend polish, and project presentation into complete demos.
AI ProductsFrontendFastAPICybersecurity
- Strongest direction: AI learning systems, incident workflows, proof engines, dashboards, and gesture UI.
- Build style: polished interfaces, clear user flows, practical tools, and strong public project stories.
- Team role: direction, presentation quality, frontend craft, and AI/security product strategy.
KH
Khuslen brings a practical engineering profile built around Python, C++, backend APIs, security learning, fast prototyping, and clear technical explanation.
PythonC++APIsCTF
TM
Tsogterdene supports the team’s security direction through practical cybersecurity learning, CTF discipline, Linux workflow, safe testing habits, and team-focused technical review.
CybersecurityCTFLinuxAnalysis
Process
How the team ships.
The working loop is simple: define the use case, build the core flow, test the weak parts, polish the interface, document the result, and present it clearly.
Frame the problem
Start with a user, workflow, challenge, or learning goal that gives the build a reason to exist.
Build the core loop
Create the smallest version that proves the idea with real interaction, logic, and output.
Strengthen the system
Debug edge cases, improve security assumptions, clean the data flow, and reduce confusion.
Present the proof
Refine the UI, write the explanation, expose the links, and make the project easy to evaluate.
Contact
Open to projects, demos, and collaboration.
For hackathons, collaboration, security-focused builds, AI product ideas, or project discussion, contact the team through the links below.
Team contact
Use this address for project discussions, collaboration, and team opportunities.
Public proof
Explore the team repository and member portfolios.