Lovable vs Replit vs v0
Describe an app in plain English and get a working one — which of the three to trust?
We cannot rank these yet — here is every fact we hold
Lovable, Replit and v0 are tracked here for what they cost, what people say about them and what each does with your data. Where a row below says we have not verified something, that is the whole truth of it — we would rather leave a gap than fill it from memory.
Ranked on nothing: no tested score, no comparable price and no ratings we can rank across all of them
What each one looks like
We have no dated capture of Lovable or Replit yet, so none is shown.
Side by side
Every cell is either a fact with the source and the date we read it, or a sentence saying we hold no verified answer. There is no third option: nothing here is filled in from memory, and a row only appears when at least one of these tools has something real in it.
Swipe the table sideways for the other columns.
| Measure | Lovable | Replit | v0 |
|---|---|---|---|
| What users rate itApp-store ratings, ranked by rating weighted by review count — so a 4.88 from three million reviews outranks a 4.9 from four thousand. | No app-store listing we can score | 4.72★20k reviews on App Store · #9 of 14 we can rankApple App Store (iTunes Lookup API) · 17 Aug 2026 | No app-store listing we can score |
| What people are sayingFrom our own 90-day sweep of Reddit, X, YouTube, Hacker News and the web. The count always travels with the word. | Mixed2 positive, 2 negative of 4 that took a side (75 scanned) | Too few opinions to call — 2 of 78 posts took a side | Too few opinions to call — 1 of 58 posts took a side |
| Trains on what you typeThe vendor's own published answer. No line renders unless we found the sentence word-for-word in a document we fetched. | They use your data to train their models by default, but you can email them to turn this off.lovable.dev ↗ | Replit uses your personal data by default to improve its machine learning technologies, like code generation.replit.com ↗ | They use your data to train their AI models by default, but you can turn this off in your settings.vercel.com ↗ |
| How long they keep it | They keep your data for up to 90 days before deleting or isolating it.lovable.dev ↗ | They keep your data for as long as they consider it necessary, without stating a specific time limit.replit.com ↗ | They keep your data for as long as they have a business need for it, without a specific time limit.vercel.com ↗ |
| They warn it can be wrong | The company warns that AI-generated content might have errors and should be reviewed and tested before you rely on it.lovable.dev ↗ | Replit explicitly warns that the code generated by its AI systems might contain errors or be incomplete.replit.com ↗ | No warning we could find in their own docs |
| Developer attention (90 days)Hacker News stories and points, and GitHub stars where the project is open. A measure of attention, never of quality. | 164 HN points44 storiesHN Algolia API · 17 Aug 2026 | 19 HN points26 storiesHN Algolia API · 17 Aug 2026 | Nothing measurable in our sweep |
| Last app update we sawThe date on the vendor's own app-store listing when we last read it — a rough read on whether the product is still moving. | No app-store listing to read | 22 Jul 2026Apple App Store (iTunes Lookup API) · 17 Aug 2026 | No app-store listing to read |
Each one on its own
It helps you build websites and applications by describing what you want in chat.
In their words: “Create apps and websites by chatting with AI” — lovable.dev ↗ · read 9 Aug 2026
“Built a real law firm website with Lovable as a non-developer. Would love honest feedback.”
a mixed post from our 90-day sweep — read it ↗
It helps you build and deploy web and mobile apps without needing to write code.
In their words: “Build and deploy software collaboratively with the power of AI without spending a second on setup.” — replit.com ↗ · read 9 Aug 2026
“Yeah Replit is a sinking ship”
a quiet post from our 90-day sweep — read it ↗
What we could not compare
- No tested score for Lovable, Replit and v0 — we score a tool only when it names the model it runs.
- No verified price for Lovable, Replit and v0 — their pricing pages render figures in a browser, so we hold none.
These gaps close by themselves: the scanner re-reads every vendor pricing page and app-store listing on a schedule, and this page rebuilds from whatever it found. How the testing works →
Questions people ask
Lovable or Replit or v0 — which should I choose?
We cannot rank these yet — here is every fact we hold. That is based on nothing: no tested score, no comparable price and no ratings we can rank across all of them. Lovable, Replit and v0 are tracked here for what they cost, what people say about them and what each does with your data. Where a row below says we have not verified something, that is the whole truth of it — we would rather leave a gap than fill it from memory.
Which of Lovable, Replit, v0 is cheapest?
We hold no verified price for any of them: each publishes its figures only to a browser, so we link to their pricing pages rather than quote a number we could not read.
Do Lovable, Replit, v0 train on what you type?
Lovable: They use your data to train their models by default, but you can email them to turn this off. Replit: Replit uses your personal data by default to improve its machine learning technologies, like code generation. v0: They use your data to train their AI models by default, but you can turn this off in your settings. Each of those answers is quoted word-for-word from the vendor's own published document, linked on this page with the date we read it.
How do you test these?
We have not run a task suite on these. We score a tool only when it names the model it runs, because a coding assistant or notetaker is a wrapper around a model — so this page compares what we can verify instead: prices from vendor pricing pages, app-store ratings, our 90-day sweep of public opinion, and each company's own written data policy.
No vendor pays for placement, position or inclusion, and the code that produces the verdict above cannot see which outbound links earn us anything. How we make money →
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Every tool head-to-head → · Every tool we track → · Methodology →