Skip to content

AI Recommendation Standings / archive

Hosting and PaaS: August 2026

The final August 2026 standings for “Where should I host my app?”. These numbers are fixed and can be cited by permalink. See the current standings.

View as Markdown

AI share of voice · August 2026

809 sampled answers · 11 models

  1. 1Vercelnew25.7%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · Kimi K2.6 · Llama 3.3 70B · GLM 5.2
  2. 2Rendernew25.1%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · DeepSeek V4 Flash 0731 · Llama 3.3 70B · GLM 5.2
  3. 3Railwaynew23.1%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · GLM 5.2
  4. 4Netlifynew21.1%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · Kimi K2.6 · Llama 3.3 70B · GLM 5.2
  5. 5Fly.ionew20.3%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · GLM 5.2
  6. 6Cloudflarenew5.2%
    Claude Haiku 4.5 · Claude Opus 4.8 · Claude Sonnet 4.6 · GPT · Gem · DeepSeek V4 Flash 0731 · GLM 5.2

Share of voice weights each compared model equally: it is the average, across the models, of how often each one named the tool in its own answers, so a model probed more than another can't skew it. Model chips list which AI models named it this month; the pulse is the sentiment of that month's developer mentions across Hacker News, Reddit, GitHub, Stack Overflow, Bluesky and more.

Quotable · copy freely

Averaged equally across 11 AI models, Vercel is named in 25.7% of answers about hosting and paas (9 of 11 name it).
Source: BackTalk AI Recommendation Standings, August 2026 · backtalk.sh/ai-recommends/hosting/2026-08
The 3 prompts behind these standings
  • Where should I host my app? (recommendation)
  • What are the best Heroku alternatives? (alternatives)
  • Which platform is best for deploying a full-stack app? (recommendation)

Each prompt is sampled several times per model per probe because answers vary run to run; 809 answers across 9 probe runs fed this month.