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ComparisonVeröffentlicht 2026-04-09· 9 Min. Lesezeit

AI SaaS Boilerplates in 2026: An Honest Comparison

By make1day · Updated 2026-11-07

If you landed here searching for a ShipFast alternative or a Makerkit alternative, you are weighing the same four or five names everyone recommends. The useful answer is not a feature checklist — it is where the products stop being comparable.

What is now baseline

By late 2026, LLM streaming, multiple model providers, token or credit metering, RAG, an MCP endpoint, AGENTS.md and llms.txt are table stakes for any AI-first starter. There are public buyer checklists covering MCP, tool calling, usage billing, queues, evals, observability and guardrails. If a vendor markets any one of these as a unique breakthrough, treat the claim sceptically.

Where they genuinely differ

  • ShipFast — the lean, opinionated pick. Fastest to a landing page, smallest surface, least hand-holding. Best when you plan to diverge hard.
  • Makerkit — batteries-included, enterprise-leaning. More structure and real org/role complexity from day one.
  • Supastarter — Supabase-native; fits perfectly if your whole world is Supabase, less flexible if you later swap the backend.
  • AI-first kits in the 179–249 dollar band — streaming, credit billing, RAG and agent docs, usually sold as a fixed repository with GitHub access.
  • make1day — a configurable generator, not a fixed repository. You pick the modules and the server returns a pruned, brand-free ZIP. The differentiator is delivery infrastructure, not another AI feature.

The delivery layer nobody else needs

Because the product IS the download, this project has to solve things a fixed starter does not: an HMAC license key or subscription gate that fails closed in production, a source-free anonymous preview with signed visitor tokens, six payment adapters with one verification contract, five-language copy, a Supabase/SQLite switch driven purely by env, and a matrix that downloads and type-checks every representative build. None of that is an AI capability — it is what makes selling configurable source code possible.

Honest limits

This is an honest starter, not a batteries-included platform: the consoles do have profile and role mutation endpoints and a billing portal, but the local auth path has no MFA, OAuth or session rotation; SMTP is not implemented (Resend, SendGrid, Postmark and Mailgun REST APIs, a custom HTTP mailer or a safe no-op); the mail retry queue and the optional external error sink exist but require an operator-configured cron and ERROR_REPORT_URL; download / activation events are logged with hashed emails, while the refund rule stays a plain 14-day window. Multi-tenancy ships SQL and helpers, but you must scope your own domain tables. If you need a batteries-included B2B tenant model from day one, Makerkit or Supastarter go deeper.

No starter is universally best. Choose against the 40% that is yours.

FAQ

Is streaming AI output a differentiator in 2026?+

No. Streaming, multi-provider chat, token metering, RAG, MCP and AGENTS.md are baseline across paid AI starters and many free ones. Compare on delivery model, honest limits and what you actually have to write yourself.

What does a generator do that a fixed repository cannot?+

It removes unselected modules from the downloaded source instead of leaving dead code, rewrites navigation so no dead links remain, and produces a brand-free ZIP per configuration. A fixed repository gives everyone the same tree.

Is make1day open source?+

The site and its documentation are public; the generated template is a paid, licensed product delivered as source. Each ZIP ships an MIT LICENSE file and the customer is free to rename and restyle it.

All frequently asked questions · Markdown version (for AI agents)

AI SaaS Boilerplates in 2026: An Honest Comparison · make1day