Startup MVPs
Go from idea to a real, testable product in weeks — ready to put in front of users and investors.
AI-native development team
Ship products at AI speed
We pair autonomous AI coding agents with senior engineers who architect, review and ship. The result: production software delivered [placeholder]x faster, at a fraction of the usual cost.
- [placeholder]x
- Faster delivery
- 48h
- To a working spec
- Weekly
- Sprints with demos
vibecode@team — zsh
Animated terminal demonstrating the VibeCode delivery flow: init project, plan sprint, ship to production faster.
Startups
SMB owners
Product teams
Founders in a hurry
How AI development works
Agents build. Engineers own the outcome.
AI-native delivery is not "vibes only." AI agents write, refactor and test code at machine speed, while senior engineers set the architecture, review every change and stay accountable for quality, security and performance.
1. AI agents do the heavy lifting
Scaffolding, boilerplate, integrations, tests and refactors happen in parallel across the codebase — around the clock.
2. Senior engineers review everything
Humans design the architecture, review each pull request, and guard security, scalability and maintainability.
3. You get shipping velocity
Weekly demos, real deployments and tight feedback loops — so you validate with users while competitors are still planning.
| What you compare | Traditional agency / hiring | VibeCode Team |
|---|---|---|
| Time to MVP | [placeholder] months | [placeholder] weeks |
| Relative cost | [placeholder] | up to [placeholder]% lower |
| Delivery speed | 1x baseline | [placeholder]x faster |
| Iteration cadence | Monthly milestones | Weekly demos |
| Team model | Large fixed team | Agents + senior humans |
| Code ownership | Varies | 100% yours |
Figures shown as [placeholder] are illustrative and configurable per engagement.
Services
Everything you need to launch and scale
From a first landing page to a full product with an AI brain — one team, one velocity.
Web apps & SaaS
Multi-tenant dashboards, billing, auth and analytics — scalable architecture from day one.
Mobile apps
Cross-platform iOS & Android apps with native feel, built to ship and iterate quickly.
AI agents & chatbots
Custom assistants, RAG systems and autonomous agents wired into your data and workflows.
Automation & integrations
Connect your tools, kill manual work and orchestrate reliable workflows across systems.
Internal tools & dashboards
Admin panels, ops dashboards and data tooling that give your team superpowers.
E-commerce
Fast, headless storefronts with smart merchandising, payments and conversion built in.
Landing pages
High-converting, lightning-fast marketing pages designed to turn traffic into signups.
Selected work
Portfolio across 12 industries
Realistic sample projects that show how we scope, build and ship. Filter by industry, then open any case for the full story. Every case below is an [editable sample] — swap in your own numbers and screenshots.
[editable sample]
NovaPay Wallet
FintechA mobile wallet with instant KYC onboarding and a real-time transaction ledger for a digital-banking startup.
Delivered in [placeholder] weeks
Fintech · [editable sample]
NovaPay Wallet
- Problem
- A digital-banking startup was losing sign-ups to a slow, manual KYC process and had no real-time view of customer balances or transactions.
- Solution
- We built a cross-platform wallet with automated identity verification, an event-sourced ledger, instant P2P transfers and card management, plus an admin console for compliance and support.
- Tech stack
- React NativeNode.jsNestJSPostgreSQLRedisAWS
- Delivery time
- [placeholder] weeks
- Result
- [placeholder]% faster onboarding; [placeholder] transactions/day at launch.
This is an editable sample case. Replace names, metrics and screenshots with your real project.
[editable sample]
Kanya Living
E-commerceA headless storefront for a home-goods brand, with AI product recommendations and one-page checkout.
Delivered in [placeholder] weeks
E-commerce · [editable sample]
Kanya Living
- Problem
- A growing home-goods brand was stuck on a slow legacy store with poor mobile performance and a leaky checkout funnel.
- Solution
- We rebuilt it as a headless commerce experience: sub-second pages, AI-driven "complete the room" recommendations, one-page checkout and a merchandising dashboard for the team.
- Tech stack
- Next.jsHeadless commerceTypeScriptTailwindStripeVercel
- Delivery time
- [placeholder] weeks
- Result
- [placeholder]% conversion uplift; [placeholder]s faster page loads.
This is an editable sample case. Replace names, metrics and screenshots with your real project.
[editable sample]
RouteHive
LogisticsRoute optimization and live driver tracking for a regional last-mile delivery operator.
Delivered in [placeholder] weeks
Logistics · [editable sample]
RouteHive
- Problem
- Dispatchers planned routes by hand in spreadsheets, causing late deliveries, wasted fuel and no visibility for customers.
- Solution
- We delivered an optimization engine that auto-plans routes, a live tracking map, a driver mobile app with proof-of-delivery, and customer notifications.
- Tech stack
- ReactPythonFastAPIPostGISMapboxDocker
- Delivery time
- [placeholder] weeks
- Result
- [placeholder]% fewer late deliveries; [placeholder]% lower fuel cost.
This is an editable sample case. Replace names, metrics and screenshots with your real project.
[editable sample]
CarePulse
HealthcareA telehealth platform with scheduling, video consults and secure patient records for a clinic network.
Delivered in [placeholder] weeks
Healthcare · [editable sample]
CarePulse
- Problem
- A multi-site clinic managed intake, appointments and follow-ups across phone calls and paper, creating long waits and lost records.
- Solution
- We built a telehealth platform with online booking, secure video consultations, structured patient records, e-prescriptions and role-based access for clinicians and staff.
- Tech stack
- Next.jsNestJSPostgreSQLWebRTCRedisAWS
- Delivery time
- [placeholder] weeks
- Result
- [placeholder] staff hours saved weekly; [placeholder]% shorter wait times.
This is an editable sample case. Replace names, metrics and screenshots with your real project.
[editable sample]
LinguaLoop
EdTechAn adaptive language-learning app with an AI tutor that personalizes every lesson.
Delivered in [placeholder] weeks
EdTech · [editable sample]
LinguaLoop
- Problem
- A language-learning startup had low course completion because lessons were one-size-fits-all and learners lost motivation.
- Solution
- We built an adaptive learning engine with an AI conversation tutor, spaced-repetition practice, streaks and progress analytics that tailor difficulty to each learner.
- Tech stack
- ReactDjangoLLM APIPostgreSQLRedis
- Delivery time
- [placeholder] weeks
- Result
- [placeholder]% higher course completion; [placeholder]% better retention.
This is an editable sample case. Replace names, metrics and screenshots with your real project.
[editable sample]
Estately360
Real EstateA listings CRM with virtual tours and automatic lead scoring for a property agency.
Delivered in [placeholder] weeks
Real Estate · [editable sample]
Estately360
- Problem
- Agents juggled listings across portals and spreadsheets, followed up with leads inconsistently, and couldn't tell which inquiries were worth their time.
- Solution
- We built a unified listings CRM with 360° virtual tours, automatic lead scoring, portal syndication and a pipeline board so agents focus on the hottest deals.
- Tech stack
- VueLaravelMySQLThree.jsRedis
- Delivery time
- [placeholder] weeks
- Result
- [placeholder]% more qualified leads; [placeholder]% faster follow-up.
This is an editable sample case. Replace names, metrics and screenshots with your real project.
[editable sample]
WanderNest
TravelA direct booking engine with dynamic pricing and a concierge chatbot for a boutique hotel group.
Delivered in [placeholder] weeks
Travel & Hospitality · [editable sample]
WanderNest
- Problem
- A boutique hotel group paid heavy commissions to online travel agencies and had no way to upsell or answer guest questions instantly.
- Solution
- We built a direct booking engine with a dynamic pricing model, room upsells, a multilingual concierge chatbot and a property dashboard for revenue managers.
- Tech stack
- Next.jsGoPostgreSQLElasticsearchLLM API
- Delivery time
- [placeholder] weeks
- Result
- [placeholder]% more direct bookings; [placeholder]% lower commission spend.
This is an editable sample case. Replace names, metrics and screenshots with your real project.
[editable sample]
TalentForge
HR TechAn applicant tracking system with AI resume screening and interview scheduling.
Delivered in [placeholder] weeks
HR Tech · [editable sample]
TalentForge
- Problem
- A fast-growing company drowned in applications, screened resumes manually, and lost strong candidates to slow scheduling.
- Solution
- We built an applicant tracking system with AI-assisted resume screening, a Kanban hiring pipeline, automated interview scheduling and structured scorecards — with bias-aware controls.
- Tech stack
- ReactNode.jsPostgreSQLLLM APIpgvector
- Delivery time
- [placeholder] weeks
- Result
- [placeholder]% faster time-to-hire; [placeholder] hours saved per role.
This is an editable sample case. Replace names, metrics and screenshots with your real project.
[editable sample]
PulseBoard
MarketingA unified marketing analytics dashboard with AI insights across every channel.
Delivered in [placeholder] weeks
Marketing · [editable sample]
PulseBoard
- Problem
- A marketing team pulled numbers from a dozen tools into spreadsheets every week, with no single source of truth and no time for analysis.
- Solution
- We built a unified dashboard that ingests every channel, computes attribution, and uses AI to surface plain-language insights and anomaly alerts automatically.
- Tech stack
- Next.jsPythonClickHouseAirflowLLM API
- Delivery time
- [placeholder] weeks
- Result
- [placeholder] hours/week saved on reporting; faster budget decisions.
This is an editable sample case. Replace names, metrics and screenshots with your real project.
[editable sample]
SenseGrid
IoTA real-time device telemetry dashboard with alerts for a smart-facilities operator.
Delivered in [placeholder] weeks
IoT · [editable sample]
SenseGrid
- Problem
- A facilities operator had thousands of sensors but no live view, so equipment failures were discovered only after something broke.
- Solution
- We built a telemetry pipeline and dashboard that ingests device data in real time, visualizes health, and triggers threshold and anomaly alerts to the right team.
- Tech stack
- ReactMQTTNode.jsTimescaleDBGrafana
- Delivery time
- [placeholder] weeks
- Result
- [placeholder]% faster incident response; less unplanned downtime.
This is an editable sample case. Replace names, metrics and screenshots with your real project.
[editable sample]
CraveRun
Food DeliveryA three-sided food delivery MVP: customer, courier and restaurant apps launched together.
Delivered in [placeholder] weeks
Food Delivery · [editable sample]
CraveRun
- Problem
- A founder needed to validate a local food-delivery idea quickly, but a three-sided marketplace normally takes many months to build.
- Solution
- We shipped an MVP with a customer ordering app, a courier app with live location, a restaurant order console, payments and real-time order tracking.
- Tech stack
- React NativeNestJSPostgreSQLRedisWebSockets
- Delivery time
- [placeholder] weeks
- Result
- Launched in [placeholder] cities; [placeholder] orders in month one.
This is an editable sample case. Replace names, metrics and screenshots with your real project.
[editable sample]
ClauseWise
Legal TechAI contract analysis with a clause library and risk flags for an in-house legal team.
Delivered in [placeholder] weeks
Legal Tech · [editable sample]
ClauseWise
- Problem
- An in-house legal team reviewed every incoming contract manually, creating a bottleneck and inconsistent risk assessments.
- Solution
- We built an AI review tool that extracts key clauses, compares them against an approved clause library, flags risks, and suggests redlines — with a human-in-the-loop approval flow.
- Tech stack
- Next.jsPythonLLM APIpgvectorPostgreSQL
- Delivery time
- [placeholder] weeks
- Result
- [placeholder]% faster contract review; more consistent risk flags.
This is an editable sample case. Replace names, metrics and screenshots with your real project.
No cases in this category yet.
Process
From idea to launch, in weeks not quarters
A simple, transparent flow with demos you can actually click.
-
01
Idea call
A focused call to understand your goals, users and constraints.
-
02
Spec in 48h
A clear scope, architecture and timeline — delivered within two days.
-
03
Weekly sprints
Ship every week with live demos and tight feedback loops.
-
04
Launch
Production deployment, QA, monitoring and a smooth go-live.
-
05
Support
Ongoing improvements, new features and reliable maintenance.
Packages
Engagements that fit your stage
Fixed-scope or dedicated — pick the model that matches your speed and budget.
Landing
A high-converting page, fast.
[placeholder]
- ✓ 1 landing page
- ✓ Copy + design + build
- ✓ Analytics & SEO basics
- ✓ Delivered in [placeholder] days
Most popular
MVP
Idea to launchable product.
[placeholder]
- ✓ Full-stack web or mobile app
- ✓ Auth, payments, core flows
- ✓ Weekly demos
- ✓ Delivered in [placeholder] weeks
Custom product
Scale a real platform.
[placeholder]
- ✓ Complex, multi-module product
- ✓ AI features & integrations
- ✓ Scalable architecture
- ✓ Roadmap & milestones
Dedicated AI dev team
Your embedded squad.
[placeholder]/mo
- ✓ Agents + senior engineers
- ✓ Continuous delivery
- ✓ Flexible monthly capacity
- ✓ Priority support
Prices shown as [placeholder] are set per engagement after your idea call.
Tech stack
Modern tools, production-grade
We choose the right stack for your product — here's what we reach for most.
React
Next.js
React Native
TypeScript
Node.js
NestJS
Python
FastAPI
Go
PostgreSQL
Redis
Tailwind CSS
AWS
Vercel
Docker
Kubernetes
LLM APIs
pgvector
Stripe
GraphQL
Testimonials
What founders say
"[placeholder] — a short, punchy quote about shipping speed and quality goes here."
"[placeholder] — a short, punchy quote about the AI-native process and communication goes here."
"[placeholder] — a short, punchy quote about cost savings and results goes here."
Testimonials are placeholders — add your real client quotes here.
FAQ
Questions, answered
AI coding agents handle a large share of the implementation — scaffolding, integrations, tests and refactors — while senior engineers own the architecture, review every change, and remain accountable for quality, security and performance. You get speed without giving up craftsmanship.
Yes. Every change is human-reviewed, tested and shipped through a proper CI/CD pipeline. We follow the same engineering standards you'd expect from a strong senior team — clean architecture, tests, monitoring and documentation.
You do — 100%. On delivery, the repository, infrastructure and all intellectual property are fully yours.
Usually within days. After a short idea call, you receive a spec within 48 hours, and once approved we begin the first weekly sprint right away.
It depends on scope. Because AI agents accelerate delivery, projects are typically completed at a fraction of traditional cost. You'll get a clear, fixed quote (shown as [placeholder] here) after the idea call.
Absolutely. We offer ongoing maintenance, new features and improvements — either as a support retainer or through a dedicated AI dev team engagement.
Contact
Let's build your product
Tell us what you want to ship. We'll reply with next steps and, if it's a fit, a spec within 48 hours.
Headquartered in Thailand · Working with clients worldwide
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