Build logs, engineering postmortems, and SaaS data from the products we ship and the clients we serve.
Build in public
How we built and shipped feedalyze.net — an AI-powered churn detection platform analyzing feedback channels to score customer risk solo.
Read article →How we built briefstock.ai — generating real-time stock research reports for 4,500+ US stocks in under 60 seconds with Next.js, Python, and AI.
Read article →The architecture behind saasdb.app — how we went from idea to tracking 172+ public SaaS metrics using Next.js, Supabase, and Recharts, and what this means for your MVP.
Read article →feedalyze.net scores customer accounts 0–100 for churn risk using email, survey, and support ticket analysis. Here's what the build taught me about AI product design, and why I'm rethinking the scoring model.
Read article →The architecture behind briefstock.ai — how real P/E, DCF, and FCF calculations run in Python, how AI narration is prompted to sound like an analyst rather than a chatbot, and what breaks under load.
Read article →AI writes code fast. It also makes specific, repeatable mistakes. After building four live SaaS products with AI assistance, here's my actual review checklist.
Read article →A day-by-day build log of how saasdb.app — a public database tracking NRR, Rule of 40, and gross margins for 172+ SaaS companies — went from idea to live product in under two weeks.
Read article →SaaS benchmarks & data
Should you give up 50% of your company to find a technical co-founder, or spend cash to hire an agency? An honest look at the economics of paying developers for your MVP.
Read article →Stop writing 80-page requirement specs that developers ignore. Here is a lean, 1-page PRD template designed to scope, build, and ship your MVP in 2 weeks.
Read article →Want to launch an AI-powered product? Here is a practical, developer-friendly blueprint for building an AI SaaS MVP that is secure, fast, and cost-effective.
Read article →Confused by databases, APIs, serverless functions, and cron jobs? Here is a simple, visual guide to how a modern SaaS MVP is structured using Next.js and Supabase.
Read article →Before you sign that $40,000 developer contract, look out for these warning signs. Here are the red flags that show an agency is bloating your project budget.
Read article →A practical launch checklist for startup founders to determine if their MVP is ready for public release, or if they are over-building.
Read article →How to identify and avoid the three most common scope creep traps that delay MVP launches and drain startup budgets.
Read article →How to effectively prompt and guide AI coding agents like Claude Code or Cursor to generate production-ready code while avoiding common pitfalls.
Read article →A practical framework for pre-revenue founders to structure their pricing plans, select charging models, and test customer willingness to pay.
Read article →A guide for non-technical founders on how to choose a reliable, scalable, and cost-effective tech stack for their MVP.
Read article →A practical validation blueprint to test demand, capture customer leads, and confirm willingness to pay before writing any code.
Read article →A clear guide on how non-technical founders can write a detailed technical brief to align developers and prevent misunderstanding.
Read article →A step-by-step framework to define, document, and scope your SaaS Minimum Viable Product (MVP) in exactly 24 hours.
Read article →Most startups fail to ship their MVP not because of poor coding, but because of scope creep. Here is the framework we use to ruthlessly scope and build client MVPs in under 14 days.
Read article →Why traditional software agencies take 3 months to build an MVP while an AI-accelerated studio can deliver it in 2 weeks.
Read article →Why AI-generated frontends from v0, Bolt, or Lovable aren't production-ready SaaS apps, and when you need real software engineering.
Read article →Compare the real costs of hiring an in-house developer vs outsourcing your MVP. Discover why hiring too early kills startup runway.
Read article →Compare Bubble/Webflow with custom code (Next.js/Supabase) for MVPs. Learn when no-code scaling breaks and when you must choose custom development.
Read article →Why hourly development contracts lead to scope creep and budget blowouts for startups, and why fixed-price scoped builds are superior.
Read article →How do you choose between hiring a traditional agency, managing freelancers, or hiring Araho Digital to build your MVP? A direct cost and performance comparison.
Read article →Building AI features without auditing your data profiles, latency tolerances, and system architectures is a recipe for failure. Here is a guide to auditing AI readiness for B2B SaaS.
Read article →No-code platforms like Bubble and FlutterFlow are great for simple CRUD databases. But for AI-native SaaS, they hit hard limits. Here's a technical breakdown of why and when you must write custom code.
Read article →How to choose a tech stack that lets you ship a production-grade B2B SaaS MVP in under 14 days without accumulating crippling technical debt. The exact tools we use for our clients.
Read article →Gross margin benchmarks for public SaaS companies by sector. What's good? What's not? And why gross margin is the foundation of everything else in SaaS.
Read article →Rule of 40 benchmarks across public SaaS companies. What the formula means, which sectors lead, and why growth-stage companies should ignore it (until they shouldn't).
Read article →Traditional agencies charge $40K+ for an MVP and take 3 months. Here's the actual cost breakdown of building a production SaaS product in 2 weeks — and why most of that $40K is process, not product.
Read article →Net Revenue Retention benchmarks across 172+ public SaaS companies. What's good NRR? What separates top quartile from median? Data from saasdb.app.
Read article →Public database of 172+ SaaS company metrics. NRR, Rule of 40, gross margin, and EV/Revenue — all free.
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