Forge your own lane
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Your idea.
Our engine.
Ship it.

Send an email with your app idea. LaneForge sets up the repo, environment, domain, and writes the code. You get a digest by email and approve plans with a single word. Your startup grows while you focus on everything else.

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Send an email.
We handle the rest.

You send an email. LaneForge analyzes, plans, codes, tests, and deploys. The full delivery cycle, without your hands on the keyboard.

🧠

AI classifies the intent

Claude analyzes your email and automatically recognizes whether it is a new feature, a bug, a status question, or a new project.

📋

An implementation plan is created

The system generates a detailed plan with use cases, test scenarios, and estimated scope. We send it by email for approval.

You approve it with one word

Reply "ok" to the email or click in the panel. The plan moves into autonomous execution.

🚀

Autonomous execution

Implementation, code review, tests, deployment, everything happens automatically. You get a daily digest of progress.

01

Email

You describe what you need in natural language.

🧠
02

AI analysis

Intent classification and a plan with use cases.

👍
03

Approval

You reply "ok" or request changes by email.

04

Execution

Code, review, tests, deploy, autonomously.

📊
05

Digest

Daily progress summaries by email.

Email
Your only interface
24/7
Autonomous work
1 min
From email to ticket
100%
Control over the process

From zero to production
in 3 minutes

Repo, CI/CD, domain, SSL, deploy, automatically. Zero setup to get started, full depth when you need it.

3 min

From email to a working stack

Email with the idea
T+0s
📁
Repo + Next.js 15 + PostgreSQL
T+15s
⚙️
Environment + CI/CD + Docker
T+45s
🌐
Domain + SSL + deploy
T+2min
🚀
Ready for development
T+3min — production-ready stack

5 minutes to start

Account → email with the idea → LaneForge gets to work. Zero setup. The default pipeline and stack work immediately.

🔧

Infinite depth

Custom pipeline blocks, your own agent personas, integrations, analytics, environments. As much depth as you need, and not an ounce more on day one.

A professional stack like the best startups use: tests, CI/CD, monitoring, backup. The kind of setup you would normally pay a DevOps engineer a week to build.

Your machine. Your team.
Your applications.

A workspace is your dedicated environment — a private VM, an AI token budget, and unlimited team members. Add applications, build context, and scale only when you need to.

🖥️

Dedicated machine

Every workspace runs on its own VM. Full isolation, predictable performance, no noisy neighbors from other companies.

🧠

AI token budget included

Every plan comes with a token budget for AI workflows. Need more? Top up instantly or enable auto-refill — no surprises.

👥

Unlimited team members

Invite your entire team — no per-seat fees. Everyone shares context, history, and AI capabilities inside one workspace.

Choose your workspace

Starter
$49/mo
includes $15 AI tokens
2 vCPU / 4 GB RAM
Up to 2 applications
Unlimited team members
Email + panel interface
Perfect for MVPs and side projects.
Popular
Growth
$99/mo
includes $35 AI tokens
4 vCPU / 8 GB RAM
Up to 5 applications
Unlimited team members
Priority pipeline queue
Custom domain per app
For teams shipping real products.
Scale
$249/mo
includes $80 AI tokens
8 vCPU / 16 GB RAM
Unlimited applications
Unlimited team members
Parallel pipelines
Advanced monitoring
Multiple products, bigger team.
Enterprise
Custom
custom AI budget
Multi-node cluster
Unlimited everything
Dedicated support
SLA guarantee
Mad Mountain as your dev team
White-glove service, full SLA.
📱

Applications panel

Add a new application — we spin up Docker, deploy our Next.js template, and you start building. Plans can live at the workspace level or inside each app.

🟢
my-saas-app
Next.js 15 · app.mojstartup.pl · Running
LIVE
🔵
landing-page
Next.js 15 · landing.mojstartup.pl · Deploying
DEPLOY
+
Add new application…
🧠

Shared AI context

All apps, documents, conversations, and decisions live in one workspace. The AI sees the full picture — across repos, across team members, across projects.

Token economy

Every plan includes a token budget. When it runs out:

Buy a one-time top-up
Enable auto-refill so work never stops
Upgrade plan for a larger monthly budget
📈
Need more power? The panel shows resource usage and recommends an upgrade when your workspace is under pressure. One click — bigger VM, more tokens, same workflow.
💡
One workspace, many apps. Think of it as your private cloud office — the AI knows your entire business context, your team shares one conversation history, and every new application is just a container away.

Give your AI a personality.
Make every message feel human.

Configure how your workspace expert communicates — from tone and autonomy level to name and opinions. Every notification, every status update, every email carries your expert's voice.

🎭

Expert persona

per workspace
Expert name
Atlas ✏️
Playful Professional
Ask before acting Fully autonomous
Passive executor Opinionated advisor
By the book Creative & bold
Before — generic
🤖 System notification
Plan LF-2137 accepted for execution
Your plan has been moved to the execution queue. Estimated completion time: 12 minutes. You will be notified when the implementation is ready for review.
After — with Atlas
🧠 Atlas · your workspace expert
Let's ship LF-2137 🚀
Got your green light on the push notification system — I'm on it. Quick heads-up: I noticed your header layout uses flexbox with a fixed gap, so I'll position the bell icon with margin-inline-start: auto instead of absolute positioning. Cleaner and works with your existing responsive breakpoints.
✓ Plan accepted ~12 min Balanced pipeline
Same transactional data — ticket ID, status, ETA, pipeline mode — but wrapped in context-aware commentary from your expert.
💡
Not just notifications — conversations. Every status email, deployment alert, and review request becomes a message from someone who knows your codebase, your preferences, and your team's context.

The expert's voice is everywhere

✉️
Email
Plan updates, deploy confirmations, code review results — all in the expert's voice.
💬
Slack / Discord
Real-time messages in your team's channels — status, questions, suggestions.
📋
Panel
In-app comments, plan annotations, and code review notes carry the persona.
📊
Daily digest
End-of-day summaries written by the expert — with opinions and recommendations.
🎭
Transactional + personal. Every message keeps the critical data — ticket ID, status, ETA, links — but wraps it in context, opinions, and personality. It's not a chatbot pretending to be human. It's a team member who happens to be AI.

Six products.
One command center.

LaneForge is not one tool. It is a full delivery system. Core ships software, Blocks extends the pipeline, Experts brings in specialists, Docs maintains knowledge, Marketing closes the go-to-market loop, Teams scales collaboration, and Mission Control ties everything together in one interface.

The foundation
Core

An email-to-production pipeline for founders who want to ship without becoming the CTO.

LaneForge Core takes a brief from email or the panel, turns it into a plan, launches the execution pipeline, and delivers a working version of the product. It is the engine the whole ecosystem runs on, from the first ticket to a production deployment.

Email ingress Hybrid acceptance Project bootstrap Configurable pipeline Production deploy
Foundation
The core product is live from day one. Every other LaneForge module builds on top of it.
5–18 min
Speed, Balanced, and Full QA let you match delivery depth to the type of change.
What Core delivers
From brief to plan
AI classifies intent, proposes scope, use cases, and test scenarios.
From plan to execution
After approval, the full pipeline starts: implementation, review, tests, security, and deploy.
From zero to environment
Bootstrap of the repo, domain, CI/CD, and environments works automatically, with no manual orchestration.
Step 1

Email, ticket & intent analysis

You write in natural language. LaneForge understands whether it is a new project, feature, bug, status request, or analysis, and automatically builds a ticket with context.

Email Panel Intent routing
Step 2

Plan + hybrid approval

The partner receives the plan by email and in the panel. They can approve it with one word, request a correction, or go deeper into review without switching tools.

Reply "ok" Panel click Iterations
Step 3

Bootstrap, execution, deploy

Core can create the repository, inject secrets, run the pipeline, and deliver a new version on the partner domain without manual infrastructure rewiring.

Repo bootstrap Secrets Deploy
Preset

Speed Mode

For fast prototypes, landing pages, and MVP iterations. Minimal blocks, maximum speed, without overloading the process.

5 blocks ~4 min Demo-ready
Default preset

Balanced

The default balance between speed and quality. Review, tests, and lint stay in the loop, while the pipeline remains lightweight and fast.

7 blocks ~10 min Default
Production preset

Full QA

The full execution track for high-risk changes: tests, security, E2E, review, and deploy to quality-controlled environments.

9 blocks ~18 min Production-ready
Core
LaneForge Core remains the execution engine. Blocks adds custom steps to the pipeline, Mission Control provides the control layer, and Docs records evidence of execution and product knowledge.

From idea to production.
Iteration after iteration.

One email. One click. The next version of your product is live. That is what working with LaneForge looks like: a loop that never stops.

Iteration 1
💡
Idea
"I want an invoicing app"
✉️
Share the vision
Email or chat
🔍
AI analyzes
Market, stack, competitors
📋
Plan + estimate
Tasks, steps, timeline
👤
Plan review
You decide what happens next
Agent codes
Code + architecture
🧪
Tests
Unit, integration, E2E
🔎
Code review
An AI reviewer checks quality
👤
Approval
You approve the deploy
🚀
MVP LIVE
~15 min to production
Iteration 2
👀
You test
You check production
💬
Feedback
"Change the registration flow"
📊
Impact analysis
AI examines dependencies and risk
📝
Change plan
Proposal + estimate
👤
You approve
You pick scope and priority
Implementation
Agent codes the changes
🧪
Tests + QA
Regression, new scenarios
🛡️
Security audit
OWASP, auth, injection scan
👤
Review & deploy
You review and approve
🚀
v1.1 LIVE
New version in production
Iteration 3
📊
Production data
Metrics, user feedback
🧠
AI report
Recommendations + bottlenecks
👤
Prioritization
Together you decide what's next
📐
Architecture plan
Estimate, risks, dependencies
👤
Plan approval
You approve the direction
🎛️
Full pipeline
Code + CI/CD
🧪
E2E + review
Tests, review, pentest
👤
Final approval
QA check + your approval
🚀
v2.0 LIVE
Payments, accounts, emails
Iteration ∞
♾️
Continuous growth
The product lives and grows
📊
AI monitors
Performance, SEO, security
👤
You decide
What's next? Email or click
🔄
The cycle repeats...
Automatically, without end
Iteration 1
💡
Idea
"I want an invoicing app"
✉️
Share the vision
Email or chat
🔍
AI analyzes
Market, stack, competitors
📋
Plan + estimate
Tasks, steps, timeline
Iteration 1
💡
Idea
"I want an invoicing app"
✉️
Email
You describe what you want
📋
AI generates plan
Tasks, steps, estimate

← hover or drag to browse · auto scroll →

The prototype is the easy part.
The rest kills projects.

AI generates UI in seconds. But a product is not UI. It is tests, infrastructure, CI/CD, security, monitoring, and deployment. That is where 96% of projects die.

100% Idea Everyone starts with enthusiasm
32% Prototypeee The code works locally
8% MVP Someone actually uses it
~4% Production A stable, scalable product
Why projects die
85%

of product work is invisible

AI generators give you a polished frontend in a minute. But that is only the tip of the iceberg. The rest, tests, security, infrastructure, CI/CD, monitoring, code review, deployment, still lands on you.

  • CI/CD pipeline and automation
  • Unit, integration, and E2E tests
  • Security audit and scanning
  • Infrastructure and environments
  • Code review and quality control
  • Monitoring, alerts, and logs
  • Production deployment
The scale of the problem
1 vs 8

You are a founder, not a team

You need an architect, frontend and backend developers, DevOps, QA, a PM, a designer, and a security owner. Instead, you have yourself.

The cost of delay
6–18 months

That is how long an MVP takes the traditional way

Every week of delay is an opening for the competition. And you lose time on Docker and GitHub Actions instead of talking to customers.

Want to move faster?
Mad Mountain steps in.

LaneForge can handle it alone, from MVP to production. But when your project grows faster than the plan and you need a delivery speed boost, Mad Mountain stands behind the platform, ready to step in at any time.

Phase 1

LaneForge delivers on its own

AI executes plans, iterates on feedback, and deploys. Daily digests keep you in the loop. The full cycle, from email to go-live.

🌱
🌿
Phase 2

You want to accelerate delivery

Many features at once? External integrations? A custom pipeline? Mad Mountain steps in as a boost with advisory, development, design, and infrastructure.

Phase 3

Full speed

AI plus a dedicated Mad Mountain team. Custom flow, multi-repo, your own infrastructure. Maximum delivery throughput.

🌳

Development, design, infrastructure, project management, marketing, strategic advisory — the full range of software house services. Senior-level engineers, pixel-perfect design, DevOps, CI/CD, scaling. One request, and the whole team joins the game.

The AI developer tools market in 2026.
Where is the gap?

The AI code generation market is worth $22.1B in 2025 according to Gartner, with projected CAGR of about 24% through 2030. Dozens of tools fight for developer attention, but almost none solve the problem of non-technical founders who need a full delivery cycle, not another code editor.

Market segments

⌨️

Code assistants

Autocompletion, inline edit, and chat inside the IDE. They require programming skill, they support the developer, not replace them.

GitHub Copilot Cursor Windsurf Tabnine

Gap: They require an IDE, dev skills, and manual CI/CD. Zero delivery automation.

🎨

App generators

Prompt-to-app. They create prototypes quickly, but without tests, CI/CD, or iteration. A one-off output, not continuous delivery.

Bolt.new Lovable v0.dev Replit

Gap: No memory, no continuity, no tests. They stop at the prototype.

🤖

Autonomous agents

AI software engineers. They plan, code, and test, but they are focused on large teams and enterprise. They do not build products from zero.

Devin (Cognition) Copilot Agents OpenAI Codex Cursor Cloud

Gap: They require a dev manager. No email interface, no non-technical UX, no marketing or ops layer.

How does LaneForge compare?

Capability Bolt / Lovable Cursor / Copilot Devin Replit LaneForge
Non-technical interface ✅ Chat ❌ IDE ⚠️ Chat ✅ Chat ✅ Email + Panel
+ Slack, WhatsApp planned
Full CI/CD pipeline ⚠️ Limited ⚠️ Built-in ✅ Full
Automated tests ⚠️ On demand ✅ In pipeline
Memory and learning ⚠️ Codebase ✅ Learns ✅ Profile + history
Configurable pipeline ✅ Workflow Builder
Block marketplace ⚠️ Extensions ⚠️ Templates ✅ Blocks + Personas
Autonomous audits ✅ Recurring
Marketing automation ✅ Full loop
Multi-platform ⚠️ Web only ✅ Any ✅ Any ⚠️ Web + Mobile ✅ Web → Mobile → IoT
Software house backup ✅ Mad Mountain
🎯
Summary
LaneForge is the only platform that combines all five structural advantages in one product: a full pipeline, not a prototype, AI software house backup, marketing automation, multi-platform support, and proactive maintenance. No competitor covers the full spectrum.

What makes up the costs.
Where the revenue comes from.

A transparent cost breakdown, revenue sources, and monetization strategy for every product in the LaneForge ecosystem.

Cost structure

🖥️

Infrastructure

Fixed, predictable hosting costs — grow slowly and linearly with the number of projects.
Compute (Hetzner VPS, Next.js, Laravel)
Databases (PostgreSQL, Redis)
Object storage + off-site backup
CDN, SSL, DNS (Cloudflare — free)
Monitoring & alerting
Email (ingress + outbound)
Low & predictable — Hetzner infrastructure is several times cheaper than cloud hyperscalers.
🧠

AI tokens — main cost driver

Variable cost depending on user workflow — the more complex the pipeline, the more tokens consumed.
Choice of LLM model & provider
Context size (prompt + history + artifacts)
Number of pipeline blocks (review, tests, security)
Iteration depth & retries
Output volume (code, docs, reports)
Variable but transparent — users pay for actual token usage, not artificial credits.
⚙️

Operations

Platform maintenance and development costs — grow slower than revenue thanks to automation.
Platform development & maintenance
Technical support
Orchestration & DevOps
Security, compliance, audits
Marketing & acquisition
Semi-fixed — grows in steps with development phases, not linearly with users.

Revenue sources

💎

Platform fee (base)

Fixed per-account subscription for platform access, hosting, panel, orchestration, and full infrastructure. Predictable, recurring SaaS revenue.
Recurring revenue — predictable cash flow
High margin — infrastructure is cheap
Tiered pricing — higher plans, better SLA
Unlimited projects — zero creation friction

AI token margin (usage)

A markup on actual AI token consumption instead of an artificial credit system. Cost grows with actual workflow complexity, revenue grows proportionally.
Usage-based revenue — grows with activity
Transparent — user sees real usage
No internal currency — zero credits
Higher plans = lower token markup
💡
Dual revenue engine
The platform base provides predictable, recurring cash flow. Token margin adds usage-based upside that grows automatically with user activity — without additional acquisition cost.

Per-product monetization

Almost every element of the LaneForge ecosystem has its own monetization model — independent or complementary to the platform base.

Core Platform
Subscription + token usage
SaaS subscription for access to pipeline builder, hosting, orchestration, and panel. Token usage billed transparently with LaneForge margin.
LF Blocks
Marketplace + commission
Users and partners create blocks, personas, and pipeline configs — LaneForge takes a commission on every marketplace sale.
LF Marketing
Add-on module
A separate paid module for marketing automation — campaign generation, content, analytics. An additional fee on top of the base plan.
LF Teams
Higher plan tier
Multi-user collaboration, role-based access, shared workspaces, and approval flows. Available on higher plans with a larger platform base fee.
LF Docs
Premium analytics + cost tracking
Auto-generated technical documentation with cost analytics, timelines, and change logs. Premium tier with expanded reporting.
LF Experts
Extended automation
Autonomous experts for continuous development, monitoring, security audits, and maintenance. Billed per-automation with token margin.

Why revenue scales faster than costs

🖥️ Infrastructure is cheap
Hetzner instead of hyperscalers. An additional project means marginal compute and storage cost. Infra scales sub-linearly.
🧠 AI grows with activity
Token costs grow, but token margin grows proportionally. Every active workflow generates revenue automatically.
💎 Multiple streams from one base
A single user can generate revenue from subscription, token usage, marketplace, and add-ons simultaneously — without additional acquisition cost.
Additional streams beyond SaaS
Marketplace — commission on block, persona, and pipeline config sales on LaneForge Blocks
Consulting — Mad Mountain as the dev team for Enterprise clients
White-label — agencies and software houses build under their own brand on LaneForge infra
AdTech / Performance — performance marketing partnerships in the LF Marketing module

From idea
to go-to-market

Between your daily responsibilities and a working product, there is only one email.

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