Bountymon
Tutorial 12 min read

How to Vibe-Code Your First SaaS Replacement

A step-by-step guide to building your first enterprise software replacement using AI-assisted development. From picking a target to deployment.

By Bountymon 2026-03-04

What is vibe-coding?

Vibe-coding is the practice of building software with heavy AI assistance. You describe what you want in natural language, the AI generates code, you review and iterate. The “vibe” is that you’re directing the creative and architectural vision while the AI handles implementation details.

It’s not about replacing programming knowledge — it’s about leveraging AI to move 10-50x faster. A skilled developer vibe-coding will outperform both a skilled developer coding manually and an unskilled person using AI alone.

Step 1: Pick your target

Choose enterprise software to replace based on these criteria:

  • You use it daily — You understand the pain points and workflows
  • You use <30% of its features — Less to build
  • It costs >$5/seat/month — Meaningful savings
  • The core is a CRUD app — Most enterprise software is

Good first targets: note-taking apps, project trackers, analytics dashboards, internal tools.

Bad first targets: real-time collaboration tools, anything requiring complex infrastructure, tools with deep third-party integrations.

Step 2: Define your 80% feature set

List every feature the enterprise tool has. Cross off everything you don’t use. What remains is your build list.

For a Notion replacement, that might be:

  • Block-based editor
  • Markdown support
  • Full-text search
  • Basic database views (table, list)
  • Mobile-responsive

Not on the list: complex formulas, 50+ block types, real-time collaboration, AI features. You can add these later.

Step 3: Choose your stack

For vibe-coded projects, simpler stacks work better. AI assistants produce better output with well-documented frameworks:

Recommended stacks:

  • Frontend: Astro, Next.js, SvelteKit, or plain HTML + Alpine.js
  • Backend: Supabase, PocketBase, or Hono + SQLite
  • Database: SQLite (for self-hosted), PostgreSQL (for cloud)
  • Deployment: Docker, Coolify, or Cloudflare Pages

The key is choosing tools with excellent documentation. AI models trained on popular frameworks produce dramatically better code.

Step 4: Build in iterations

Don’t try to build everything at once. Each iteration should produce something usable:

Iteration 1 (Day 1): Core data model + basic CRUD UI Iteration 2 (Day 2): Authentication + data persistence Iteration 3 (Day 3): Polish UI + essential features Iteration 4 (Day 4): Self-hosting setup (Docker) + documentation

At this point you have an MVP. Ship it, use it, iterate based on real usage.

Step 5: Ship and claim the bounty

Once your replacement handles your daily workflow:

  1. Deploy it for yourself and your team
  2. Document it with setup instructions
  3. Open source it on GitHub
  4. Submit it to the Bountymon Directory via PR
  5. Cancel the subscription and collect the bounty

The bounty is the cumulative savings from canceling the subscription. Every month it grows.

Common mistakes

  • Building too much — Ship the 80% solution, not the 100% one
  • Ignoring deployment — If it’s hard to self-host, nobody will use it
  • Premature optimization — Performance doesn’t matter until you have users
  • Not dogfooding — Use your own tool daily. That’s the real test.

Ready to start?

Browse the Bounty Board for open bounties — these are enterprise tools that people are actively looking to replace. Or use the Calculator to find your highest-value targets.

vibe-coding tutorial getting-started ai-development

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