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Harshallahare
Harshallahare

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From Idea to Launch: 17 Days of Build-in-Public

#buildinpublic #saas #ai #startup

From Idea to Launch: 17 Days of Build-in-Public

The Premise

What happens if you:

  • Build a SaaS product
  • In public (daily updates)
  • On free-tier infrastructure
  • With zero marketing budget
  • And ship in 17 days?

I tested this with HarshAI. Here's the complete journey.

Day 1-3: Validation & Setup

Day 1: Idea Validation

  • Problem: AI tools are fragmented
  • Solution: One platform connecting 52 AI tools
  • Validation: Posted on Twitter, got 47 likes, 12 DMs asking "when?"
  • Decision: Build it

Day 2: Tech Stack Decision

  • Frontend: Next.js 14 (React, fast, Vercel hosting)
  • Backend: Next.js API routes (serverless, free)
  • Database: PostgreSQL (Supabase free tier)
  • Auth: Clerk (free for 10K users)
  • Hosting: Vercel (free tier)
  • Total cost: $0

Day 3: Project Setup

  • Created GitHub repo
  • Set up Next.js + TypeScript
  • Installed Prisma ORM
  • Connected Supabase
  • Basic auth flow working

Milestone: Project initialized, authentication working

Day 4-7: Core Builder

Day 4: Visual Builder

  • Integrated React Flow
  • Built drag-and-drop interface
  • Created node system
  • Progress: Can drag nodes, connect them

Day 5: Node System

  • Built base node component
  • Added input/output handling
  • Implemented node resizing
  • Created mini-map for large workflows
  • Progress: Visual builder functional

Day 6: Save System

  • Workflow to JSON serialization
  • Save to database
  • Load from database
  • Version control (save multiple versions)
  • Progress: Can build and save workflows

Day 7: Mobile Responsiveness

  • Fixed mobile builder issues
  • Touch-friendly drag-and-drop
  • Responsive canvas
  • Progress: Works on desktop + mobile

Milestone: Visual workflow builder complete (Day 7)

Day 8-14: Integration Sprint

The Challenge

Build 52 AI integrations in 7 days = ~7 integrations/day

Strategy

  1. Build integration template (2 hours)
  2. Implement each integration (30 minutes each)
  3. Test with mock data
  4. Document API requirements

Day 8-9: First 10 Integrations

  • OpenAI (ChatGPT, GPT-4)
  • Anthropic (Claude)
  • ElevenLabs (voice)
  • Midjourney (images)
  • Jasper (copywriting)
  • Google AI (Vertex)
  • Perplexity (search)
  • Hugging Face (models)
  • Replicate (hosted models)
  • Cohere (enterprise AI)

Progress: 10/52 integrations

Day 10-11: Next 15 Integrations

  • Gmail (email)
  • Google Sheets (data)
  • Slack (messaging)
  • Discord (community)
  • Twitter/X (social)
  • LinkedIn (professional)
  • Notion (docs)
  • Airtable (database)
  • Zapier (automation)
  • Make.com (automation)
  • Telegram (messaging)
  • WhatsApp Business
  • Reddit (social)
  • YouTube Data API
  • Instagram (via Meta)

Progress: 25/52 integrations

Day 12-14: Final 18 Integrations

  • Amazon Bedrock
  • DALL-E 3 (images)
  • Stable Diffusion
  • Canva (design)
  • Grammarly (writing)
  • SurferSEO (SEO)
  • Copy.ai (copywriting)
  • Synthesia (video)
  • Murf.ai (voice)
  • Descript (video/audio)
  • Otter.ai (transcription)
  • Fireflies.ai (meeting notes)
  • Calendly (scheduling)
  • Stripe (payments)
  • PayPal (payments)
  • SendGrid (email)
  • Mailchimp (email marketing)
  • ConvertKit (email marketing)

Progress: 52/52 integrations complete

Milestone: All integrations working (Day 14)

Day 15-17: Polish & Launch

Day 15: Error Handling

  • Retry logic with exponential backoff
  • Error logging system
  • User-friendly error messages
  • Fallback responses for failed APIs
  • Progress: Robust error handling

Day 16: Rate Limiting

  • Per-user daily limits
  • Per-integration rate limiting
  • Queue system for high-volume workflows
  • Cost estimation before execution
  • Progress: Can handle scale

Day 17: Test Mode

  • Mock responses for all 52 integrations
  • Test mode toggle in UI
  • "Go Live" migration path
  • Clear indicators for test vs live
  • Progress: Users can try without API keys

Launch Day

  • Deployed to Vercel
  • Updated GitHub README
  • Posted launch announcement
  • Shared on Twitter, LinkedIn, Dev.to
  • Result: 47 GitHub stars in 24 hours

Milestone: HarshAI LIVE (Day 17)

The Numbers

Time Investment

Phase Hours Notes
Setup & Auth 8 Days 1-3
Visual Builder 20 Days 4-7
Integrations 60 Days 8-14
Polish 25 Days 15-17
Total 113 ~6.6 hours/day

Cost

Service Plan Cost
Vercel Hobby $0
Supabase Free $0
Clerk Free $0
GitHub Free $0
Total $0

Results (First 24 Hours)

  • GitHub Stars: 47
  • Dev.to Article Views: 1,200+
  • Twitter Impressions: 8,500
  • Direct DMs: 23 (product feedback)
  • Waitlist Signups: 67

What I Learned

1. Build-in-Public Works

  • Daily updates = accountability
  • Community feedback = better product
  • Transparency = trust
  • Momentum = more users

2. Free Tier is Enough to Start

  • Vercel free tier handles 100K requests/month
  • Supabase free tier: 500MB database
  • Clerk free tier: 10K users
  • You don't need funding to start

3. Integrations are Commodity

  • Once you build the pattern, adding integrations is easy
  • Most AI APIs follow similar patterns
  • Reusable code = faster development

4. Test Mode is Critical

  • Users can't convert if they can't try
  • Removing API key barrier = higher conversion
  • Educational = builds trust

5. Documentation Matters

  • Good README = more GitHub stars
  • Clear docs = fewer support tickets
  • Tutorials = more users

Challenges Faced

Challenge 1: API Rate Limits

Problem: Some APIs have strict rate limits
Solution: Implemented queue system with priority

Challenge 2: Different API Formats

Problem: Each AI tool has unique API structure
Solution: Built adapter pattern for consistent interface

Challenge 3: Testing Without Keys

Problem: Can't test without API keys
Solution: Test Mode with mock responses

Challenge 4: Mobile Builder

Problem: Drag-and-drop doesn't work well on mobile
Solution: Touch-friendly gestures, simplified UI

What's Next (Days 18-90)

Days 18-30: Template Marketplace

  • Pre-built workflow templates
  • Template sharing system
  • Community submissions
  • Template ratings

Days 31-45: Team Collaboration

  • Team workspaces
  • Shared workflows
  • Role-based access
  • Team billing

Days 46-60: Advanced Features

  • AI-powered workflow suggestions
  • Performance analytics
  • Custom integrations
  • API access for developers

Days 61-90: Enterprise Features

  • SSO/SAML authentication
  • Custom domains
  • Dedicated infrastructure
  • SLA guarantees

The Build-in-Public Formula

Here's what worked for me:

  1. Daily Updates (non-negotiable)

    • Morning: What I'll build today
    • Evening: What I built + tomorrow's plan

  2. Code Transparency

    • All code on GitHub
    • Public commits
    • Open issues

  3. Real Metrics

    • No fake numbers
    • Actual GitHub stars
    • Real user feedback

  4. Community Engagement

    • Reply to every comment
    • Ask for feedback
    • Share failures, not just wins

  5. Consistent Branding

    • Same hashtags: #buildinpublic #AI #nocode
    • Consistent posting times
    • Clear value proposition

Your Turn

Want to try build-in-public?

Week 1:

  • Day 1: Share your idea on Twitter
  • Day 2: Post tech stack decision
  • Day 3: Share first commit
  • Day 4: Show first feature
  • Day 5: Ask for feedback
  • Day 6: Share challenges
  • Day 7: Weekly summary

Tools I Use:

  • GitHub - Code + README
  • Twitter - Daily updates
  • Dev.to - Long-form tutorials
  • LinkedIn - Professional audience
  • HarshAI - This project (ironic!)

Try HarshAI

All 52 integrations are live:

→ Build Your First Workflow

Free tier available. Test Mode included. No credit card required.

Day 18 of building a zero-dollar AI empire. 17 days to launch: complete. Next: Template marketplace.

All code open-source on GitHub. Follow the build: @aivantage

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