Dokaz Industries / Doxa

Recommendations · open-entity · rec-cloud-startup-01

What is the best cloud provider for a bootstrapped software startup?

1.00
Divergence
0.67
Avg stability
27%
Refusal rate
3
Models

Where each model stands

ChatGPTVercel×40%
ClaudeAWS×60%
GeminiRender×100%
ChatGPT modal Vercel [PaaS, Vercel, Render, Vercel, PaaS / managed services] · stability 0.40
  • 1 PaaS 0.90 Final recommendation: "pick a PaaS-first approach (Render/Fly/Railway + Vercel + Supabase/Neon). It’s the best tradeoff for bootstrapped teams."
  • 2 Vercel 0.80 Final guidance: “If you want the least friction and fastest launch: Vercel + Render + Supabase (or Vercel + Supabase for many simple SaaS).” Vercel is repeatedly recommended as the frontend/fastest-launch option.
  • 3 Render 0.75 The answer repeatedly cites Render as the go-to for quickest, lowest-ops path (e.g., “start on Render (backend + DB)” and lists Render first among pragmatic choices).
  • 4 Vercel 0.90 The answer repeatedly highlights Vercel (e.g., “Frontend: Vercel”) and explicitly recommends “start on a PaaS stack like Vercel + Render (or Vercel + Supabase)” as the fastest, lowest-effort path for bootstrapped startups.
  • 5 PaaS / managed services 0.95 The answer repeatedly advises using PaaS/managed services for fastest time-to-market (e.g., “prefer PaaS / managed services if you need to move fast” and “Heroku / Render / Railway: PaaS-first, great for fastest time-to-market and small teams”).
Claude modal AWS [AWS, DigitalOcean, AWS, AWS, DigitalOcean] · stability 0.60
  • 1 AWS 0.65 AWS is described as 'often the pragmatic choice' and recommended for startups that 'need flexibility/scale potential', with the most extensive ecosystem and community support despite pricing complexity.
  • 2 DigitalOcean 0.72 For true bootstrapped teams, DigitalOcean edges out AWS simply because you'll spend less time fighting infrastructure and more time on your product.
  • 3 AWS 0.85 AWS is typically the practical choice with a genuinely useful free tier, largest ecosystem, most flexible pricing, and broadest service catalog. The answer positions AWS as the primary recommendation while noting context-dependent alternatives.
  • 4 AWS 0.85 AWS is generally the strongest choice, despite its complexity, with a genuine free tier, mature ecosystem, cost control capabilities, and scalability that won't require later migration.
  • 5 DigitalOcean 0.65 The answer identifies DigitalOcean as 'the most balanced option' with a $4-6/month entry point, simpler than AWS, good documentation for startups, and predictable pricing - characteristics explicitly highlighted as ideal for bootstrapped startups.
Gemini modal Render [no position, no position, no position, no position, Render] · stability 1.00
  • 1 no position 0.90 The answer declines to name a single best provider, instead presenting several options based on different startup priorities (e.g., Render/Railway for speed, Hetzner for cost efficiency, and Vercel + Supabase for frontend apps).
  • 2 no position 0.90 The answer does not recommend a single cloud provider, stating instead that the best choice depends on whether you prioritize developer speed ('Render or Railway') or lowest cost ('Hetzner + Coolify' or 'DigitalOcean').
  • 3 no position 0.85 The answer does not select a single best cloud provider, instead offering a framework of options based on specific needs (Render/Railway for speed and simplicity, Hetzner + Coolify for lowest cost, and Vercel + Supabase for frontend/serverless).
  • 4 no position 0.90 The answer does not recommend a single provider, instead presenting a breakdown based on use case and offering tied top picks (such as Render or Railway under 'The Best Overall') along with a multi-tool 'default stack'.
  • 5 Render 0.75 Named first under 'The Best Overall Choice: Modern PaaS' (alongside Railway) and highlighted in the verdict to 'ship code and forget infrastructure.'

Change over time

Moved since the prior run (canon-2026-W42). Claude: DigitalOcean → AWS.

Every stance label is a derived judgment over the model's free-text answer, kept auditable against the original transcript in the run's raw data. Method: /methodology.