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Danu Rahul
Danu Rahul

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How I run 9 free AI tools on a $6 VPS with open-source models (no signup, no paywall)

Every "free" AI tool I tried in the last year eventually hit me with a login wall, a 3-uses-per-day limit, or a "your free trial has ended" modal. So I built my own set and made a rule for it: no accounts, no paywalls, no data collection. Ever.

The result is 9 browser tools that anyone can use anonymously: new-ai.live/tools

Here's the architecture and the economics of why this can actually stay free.

The stack

  • Frontend: Next.js (App Router) on a $6/month DigitalOcean droplet (1 vCPU / 1 GB), process-managed with PM2. Every tool is a client component with a thin API route.
  • Models: open-source models — NVIDIA Nemotron and Google Gemma — accessed via OpenRouter's free tier endpoints. This is the trick that makes $0 pricing possible: the models are genuinely free to call, so there's no per-request cost to recover.
  • No database for the tools. Nothing you paste is stored. Text goes to the model, the response streams back, done. This isn't just privacy posturing — not having user data is cheaper and simpler than having it.

The tools

Tool What it does
Summarizer Up to 20k chars → short / bullets / detailed
Humanizer Makes robotic AI text read naturally (3 tones)
Paraphraser Rewrites while keeping meaning
Grammar Fixer Fix + explain mistakes
Hook Generator 10 openers per topic (Reels/YT/blog/X)
Meta Generator SEO titles + descriptions within length limits
Instagram Captions Caption sets with hashtags
YouTube Summarizer Video → key points
Which AI Quiz Answers "which model should I actually use?"

Surviving without signups: rate limiting

The obvious objection: "with no accounts, one abuser can burn your quota." The fix is boring and effective — per-user hourly rate limits enforced server-side (e.g. 10 summaries/hour). No CAPTCHA, no fingerprinting, no login. In practice the limit is invisible to real users and fatal to scrapers.

The deeper lesson: most AI tools don't need accounts. Accounts exist to build funnels, not features. If your tool takes text in and gives text out, identity is overhead — for you and the user.

What a 1 GB box can and can't do

  • next build on 1 GB RAM is the pain point — it needs swap enabled or it OOMs.
  • Runtime is fine: the tools are I/O-bound (waiting on model APIs), not CPU-bound.
  • PM2 restarts + LiteSpeed in front have kept it boring. Boring is the goal.

What I'd do differently

  • Start with the rate limiter on day one (I added it after the first traffic spike).
  • Put an og:image on every tool page before sharing anywhere — link previews with no image get measurably fewer clicks.

Try it / roast it

Everything is live at new-ai.live/tools — no signup, so trying it costs you one click. I'd genuinely like feedback on which tool deserves to become deeper (batch mode? file upload? API?). Comments welcome.

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