Tekyous – Interactive tech stack builder
Visual stack builder with compatibility hints, but AI recommendations aren't shipped yet.

Budget-aware stack recommendations, but advice guides and ChatGPT already recommend stacks better.
Startup founders, solo developers deciding on tools; non-technical founders building SaaS
ChatGPT · Indie Hackers threads · Roadmap.sh
I kept seeing the same question asked over and over in startup communities: "What tech stack should I use for my SaaS?" The answers were always scattered, opinionated, and never accounted for budget or team size.
So I built appstackbuilder.com — you tell it your monthly budget, app type, team size, and skill level, and it recommends a full stack (auth, database, hosting, payments, analytics, etc.) with actual pricing for each tool.
A few things that make it different from generic advice:
- It accounts for team size when calculating costs (e.g. Clerk charges per user, Linear charges per seat — most stack guides ignore this) - You can toggle "no-code only" if you're a non-technical founder - It shows you 2–3 alternatives per category, not just one option - You can export the full stack as a PDF or share a link - It's completely free, no account required
Under the hood: Next.js, Supabase, and Gemini for the recommendations. The tool database has ~80+ tools across categories with real pricing data I manually verified.
What I'm still figuring out: - How to keep pricing data fresh as tools change plans frequently - Whether to add a "stack score" based on community usage data - If the no-code recommendations are actually good (I'm a developer, so I'd love feedback from non-technical founders specifically)
Would love brutal feedback, especially if the recommendations feel off for your use case.
Visual stack builder with compatibility hints, but AI recommendations aren't shipped yet.
Rip Scores + AI handoff turn SaaS replacements from nebulous into build playbooks.
Drop-in SaaS scaffolding with Stripe, JWT, Prisma, and Docker pre-wired for $19/project.
Landing page with buttons but no actual stack recommendation engine visible.
They promise something huge — natural language → revenue-ready SaaS in hours — and the landing page leans into that with a clear Studio product, pricing blurbs and a no‑card trial. What’s missing on the page: concrete guarantees about deployments, data ownership, auth, scaling, or how 'revenue-ready' is validated. Interesting if they actually wire infra, payments, and migrations into the flow, but right now it reads as an ambitious, crowded play in the no‑code/AI builder space.
Combines Wappalyzer fingerprints with DNS CNAME, TLS issuer checks and header matching to triangulate tech stacks — a practical, non-flashy way to catch what single-source scrapers miss. Batch analysis, compare endpoints, CPE IDs for NVD mapping and 24h smart caching make it genuinely useful for audits and competitor research; it's not reinventing the space, but it adds meaningful, usable layers that established tools often omit.