Every number here carries a source and a date. Most of them are ours: businesses on Stripe, verified revenue, complaints and launches. The rest link to the original study, never to a roundup.
Vibe coding statistics, September 2026: at least 540+ businesses take Stripe payments from websites still hosted on vibe-coding platform subdomains. 30.0% of them are micro SaaS, 4.5 times the rate across the 30,000+ companies in our Stripe Index. Only 1.1% have reached established. Among revenue-verified startups on those subdomains, 7.6% report any MRR.
Most vibe coding statistics pages recycle the same secondhand numbers, rarely link the original, and never say how anything was counted. This page is the opposite. The core numbers are first-party: we queried 8,600+ revenue-verified startups, a 1M+ record complaint corpus, Product Hunt launches, funded startups, acquisition listings, the Agent Index and nearly 400 top Reddit posts on September 25, 2026. Every first-party stat carries a method line underneath it.
Third-party numbers appear only where we could open the original study and read the figure ourselves. Six publishers made the cut. Everything else is listed under numbers we could not trace, so you know not to repeat them.
If you only need one number, cite this: as of September 25, 2026, 540+ businesses in Stripe’s public directory still run on vibe-coding platform subdomains, and 1.1% of them have reached established (BigIdeasDB Stripe Index). The method and its main caveat are in methodology. The full study behind the first 436 of them is do vibe-coded apps make money.
Twenty numbers, one line each. Every row is dated and sourced; detail and method sit in the sections below.
| Statistic | Value | Source, date |
|---|---|---|
| Businesses on Stripe from vibe-coding subdomains | 540+ | BigIdeasDB Stripe Index, Sep 2026 |
| Of those, on the original four platforms | 430+ | BigIdeasDB Stripe Index, Sep 2026 |
| Micro SaaS share, vibe-hosted vs index | 30.0% vs 6.6% | BigIdeasDB Stripe Index, Sep 2026 |
| Established share, vibe-hosted vs index | 1.1% vs 24.6% | BigIdeasDB Stripe Index, Sep 2026 |
| Average buildability score, vibe-hosted vs index | 5.44 vs 4.18 | BigIdeasDB Stripe Index, Sep 2026 |
| B2C SaaS share, vibe-hosted vs index | 26.6% vs 8.5% | BigIdeasDB Stripe Index, Sep 2026 |
| Vibe-subdomain startups reporting any MRR | 7.6% vs 43.5% | BigIdeasDB TrustMRR, Sep 2026 |
| Vibe-subdomain startups above $1K in 30 days | 0% vs 14.0% | BigIdeasDB TrustMRR, Sep 2026 |
| Median asking price, vibe-subdomain vs all listed | $400 vs $5,000 | BigIdeasDB TrustMRR, Sep 2026 |
| Top Product Hunt launches tied to vibe coding, pre-2025 vs since Apr 2025 | 0.09% vs 5.9% | BigIdeasDB Product Hunt data, Sep 2026 |
| Builder-subreddit top posts about credits or cost | 46.0% | Reddit, top posts past year, pulled Sep 2026 |
| Builder-subreddit top posts about security | 19.8% | Reddit, top posts past year, pulled Sep 2026 |
| App Store reviews saying “vibe coded” that are 1 to 2 stars | 83.3% | BigIdeasDB App Store corpus, Sep 2026 |
| Funded startups that mention vibe coding | 0.07% | BigIdeasDB Funded DB, Sep 2026 |
| Google Trends interest now vs peak (Mar 2026) | 51.5% | Google Trends, worldwide, Sep 2026 |
| Developers who say vibe coding is not part of their work | 72% | Stack Overflow Survey, 2025 |
| AI code samples failing security tests | 45% | Veracode, 2025 |
| Experienced developers’ measured change in task time with AI | 19% slower | METR, Jul 2025 |
| Projects created on Lovable since launch | 60M+ | Lovable, Aug 2026 |
| Collins Word of the Year 2025 | “vibe coding” | Collins, 2025 |
Two kinds of number live on this page. First-party numbers come from queries we ran ourselves on September 25, 2026. They are small, specific and checkable, and each one has a method line. Third-party numbers come from a named publisher, linked to the original page, with the publication date.
Our counts are rounded with a trailing plus (540+), because the tables they come from update daily. Percentages are exact for the snapshot date. When a share is built on fewer than 100 records we say so, because a 15-of-18 split is a signal, not a law.
One more rule: a platform-subdomain count is a floor. Builders who buy a domain disappear from it, and the ones who buy a domain are disproportionately the ones who are working. That bias runs one way, and every maturity or revenue number here should be read with it in mind.
Nobody publishes a verified headcount of vibe coders, so we measure adoption through things that leave a trace: the term, launches, payments and projects.
Put the first two lines next to each other and the shape of the market is obvious. Projects are counted in tens of millions. Businesses we can see taking payments on the platforms are counted in hundreds. The denominators differ, so this is not a conversion rate, but the gap is several orders of magnitude. For the wider population of paying companies, see companies using Stripe and how the Stripe Index database is built.
The honest reading: vibe coding is past its hype spike and settling into a steady, large baseline. That is what a practice looks like once it becomes normal.
The launch curve matches the search curve almost exactly: a jump in spring 2025, a peak in early 2026, a plateau since. If you are planning a launch, Product Hunt alternatives lists other places to get seen. For the tools themselves, our LaunchDB and the Product Hunt database guide show how to track this for any category.
So AI-assisted coding is mainstream among developers, while vibe coding in Karpathy’s sense, accepting output without reading it, is mostly a non-professional practice. That matches our own cohort data below, where the builders look like first-time founders, not engineering teams. Developers who do use these tools seriously tend to land on a workflow like the one in Claude Code for founders or building a SaaS with Cursor and Claude.
The builders are new and small. That is not a criticism, it is the point of the tools, and it matches the profile in solo developer revenue examples. A post that drew one of the largest audiences in r/lovable this year captured the profile exactly:
“What worries me is that I’ve never written code myself.” – r/lovable
“I then decided to monetise it, connected Stripe, and now I have my first 30 paying users.” – r/lovable
Consumer is the hardest market to monetize for a solo builder: low willingness to pay and high churn. Our churn research and the micro SaaS pricing guide both explain why SMB buyers pay more reliably.
If you want to build in that micro SaaS lane on purpose, the ideas in vibe coding project ideas are ranked by what actually earns, and micro SaaS ideas from the Stripe Index shows which categories hold real paying companies. Real products in that lane are collected in micro SaaS examples.
| Category | Share of vibe-hosted | Share of index | Ratio |
|---|---|---|---|
| AI tools | 8.1% | 3.1% | 2.6x |
| Marketplace | 7.7% | 4.9% | 1.6x |
| Ecommerce platform | 7.5% | 11.4% | 0.7x |
| Scheduling and booking | 5.5% | 6.9% | 0.8x |
| Courses and coaching | 4.6% | 3.5% | 1.3x |
| Consulting | 4.4% | 4.9% | 0.9x |
| Education and e-learning | 4.4% | 4.2% | 1.0x |
| Fintech and banking | 4.0% | 0.9% | 4.4x |
The excess is almost entirely consumer software. Vibe coders build B2B tools at the normal rate and consumer apps at three times the normal rate. For the pricing side, see AI SaaS pricing models.
Some of it does, but very little of what stays on the platforms. The strongest evidence we have is revenue-verified data, where a payment processor confirms the numbers rather than the founder.
“14$ mrr puts in an elite tier of people who have actually made money from building apps.” – r/lovable
“Dad had all of those, shipped things, and spent money on ads for user acquisition, but never got any paying customers.” – r/vibecoding
“You make money and then when the codebase hinders your ability to deliver value, you pay a developer to rewrite it from scratch.” – r/vibecoding
| Group | Startups | Any MRR | Any revenue, 30 days | $1K+ in 30 days | Median earner, 30 days |
|---|---|---|---|---|---|
| On a vibe-coding subdomain | 130+ | 7.6% | 11.4% | 0% | $40 |
| Products about vibe coding or AI builders | 42 | 33.3% | 45.2% | 4.8% | $275 |
| All TrustMRR startups | 8,600+ | 43.5% | 50.6% | 14.0% | $199.50 |
These numbers are low partly because of the floor effect: a startup that finds traction buys a domain and leaves the cohort. Even so, a $155 ceiling across 130+ revenue-tracked products is a clear signal that the subdomain is where products stall, not where they grow. For benchmarks outside vibe coding, see TrustMRR revenue benchmarks and the state of indie SaaS revenue. If MRR, ARR and trailing revenue blur together, MRR vs ARR vs TTM explains them, and getting started with TrustMRR shows how to run the same query on any category.
| Group | Companies | Indie | Growing | Established |
|---|---|---|---|---|
| All six vibe platforms | 540+ | 66.5% | 32.4% | 1.1% |
| Original four platforms | 430+ | 65.1% | 33.5% | 1.4% |
| Stripe Index | 30,000+ | 30.8% | 44.6% | 24.6% |
In the original study we found that the six established companies were mostly offline businesses that already had customers and used a vibe tool for their website. The detail, and why that matters, is in do vibe-coded apps make money.
Vibe-coded apps show up for sale more often and ask less. They almost never show up in larger acquisition listings or venture portfolios. If you want to price one honestly, read the SellSide guide before listing, and see SellSide for what buyers actually pay.
“I didnt sell because the app failed nor i needed the money, I sold because I could not see a durable moat, the concept was easy to recreate” – r/vibecoding
Selling tools, templates and fixes to vibe coders earns at close to normal rates. Publishing a consumer app and leaving it on the subdomain does not. The full ranking of models is in how to make money vibe coding, and the AI-specific version of the revenue picture is in the AI SaaS revenue reality check.
Vercel and Netlify are general hosts, not vibe tools, so some of their subdomain companies were written by hand. We keep them because v0 and many AI coding agents deploy to them by default, and because their numbers track the vibe platforms closely. Read Vercel and Netlify rows as “likely” rather than “certain” vibe-coded.
| Platform | Companies | Micro SaaS | Avg buildability | Consumer | Established | Top category |
|---|---|---|---|---|---|---|
| Vercel | 150+ | 45.2% | 5.89 | 56.1% | 0.6% | AI tools |
| Lovable | 110+ | 21.0% | 4.92 | 62.2% | 2.5% | Courses and coaching |
| Base44 | 100+ | 25.9% | 5.40 | 53.7% | 0% | Marketplace |
| Netlify | 100+ | 15.7% | 5.20 | 53.9% | 2.0% | Ecommerce |
| Replit | 58 | 41.4% | 5.79 | 51.7% | 0% | AI tools |
| Stripe Index | 30,000+ | 6.6% | 4.18 | 51.2% | 24.6% | n/a |
The tool you pick predicts what you build. Lovable users build courses, coaching and consumer sites. Vercel and Replit users build AI tools and micro SaaS. Base44 users build marketplaces and shops. None of them builds many established businesses. For the tooling decision itself, the no-code SaaS guide covers the trade-offs.
Vibe coding is moving inside the chat assistants. Every major platform now ships a connector into at least one of the two official AI directories, out of 7,000+ connectors in total. The wider picture is in our AI connector census, the ChatGPT apps directory market map and the Agent Index tools guide.
The most-shared post of the year about vibe-coded apps was written by someone who fixes them for a living. Its opening line is a statistic in itself:
“I run a dev team and a big chunk of our work this year has quietly become taking AI-built apps and getting them ready for real users.” – r/vibecoding
“vibe coded apps work great with 5 users, then something starts breaking around user 50, and by user 500 the founder is in panic mode in my DMs.” – r/lovable
“the thing is so tangled that touching one part breaks something completely unrelated.” – r/vibecoding
“Suddenly, the AI starts "fixing" things by breaking old things.” – r/boltnewbuilders
The fix-it guide for the four most common failures is vibe coding SaaS problems and how to fix them.
| Subreddit | Posts | Credits, tokens or cost | Security | Migrating off or lock-in | Median post score |
|---|---|---|---|---|---|
| r/lovable | 99 | 44.4% | 30.3% | 22.2% | 74 |
| r/replit | 99 | 54.5% | 18.2% | 27.3% | 42 |
| r/boltnewbuilders | 100 | 39.0% | 11.0% | 17.0% | 8 |
| Three builder subs combined | 298 | 46.0% | 19.8% | 22.1% | n/a |
| r/vibecoding | 100 | 5.0% | 2.0% | 2.0% | 2,115 |
Builders inside the platform communities talk about money and exits. The general community talks about what it made. Both are true, and the platform subs are where the operating reality shows. To mine this kind of signal yourself, see Reddit market research or pipe Reddit straight into your assistant with the Reddit MCP.
“I feel like most people get to the point where they eventually leave behind things like Lovable, Bolt, Base44 etc and move over to Claude, Codex. It’s a matter of when not if” – r/lovable
“Lovable is a tool to ship fast an idea but definitely not the best route to build a scalable solution.” – r/lovable
“Vibe coded” has become an insult in app reviews. Users now use it to mean buggy and untested, whether or not the app was actually built that way. It is the same pattern we see across software reviews in who complains about what:
“Feels like a "vibe coded" product without proper testing.” – App Store review
“I am going out of my way to give this vibe coded excuse of an app one star.” – App Store review
“Seems like a vibe coded app with key missing capabilities.” – App Store review
“Looks like vibe-coding done poorly.” – App Store review
The same corpus also shows users threatening to build replacements themselves, which is the other side of adoption:
“Been considering vibe coding my own because the ads make it unusable.” – App Store review
“I’m a user researcher by trade and if this app didn’t exist, I would’ve vibe-coded it.” – App Store review
You can search these reviews by keyword with the App Store database; the App Store database guide explains filters, and the broader complaints explorer covers every source.
“Starting as a student, we were able to change out profile permissions into an admin in less than 30 minutes.” – r/lovable
“Lovable's Security Scan checks if RLS exists, not if it's restrictive.” – r/lovable
Across the security posts in our sample, the same handful of failures repeats. The widely shared seven-problem list from a team that cleans up vibe-coded apps is representative:
“Buttons hidden from non-admin users, but the API happily answers anyone who calls it directly.” – r/vibecoding
“If you haven't done a restore, you don't have backups, you have hope.” – r/vibecoding
“I’ve seen apps go live with debug mode on, API keys exposed in the frontend, and database credentials in version control.” – r/replit
“I’ve built 3 full-stack apps now and audited 20+ "Vibe Coded" apps for my friends, and 90% of them have the same 5 "Time Bombs" that will break your app the second you get real users.” – r/boltnewbuilders
The step-by-step version, ranked by how often each failure shows up, is our vibe-coded app security checklist.
That last number is itself an adoption statistic. Developers have become unwilling to work without AI even when paid to. Speed at the keyboard is a separate question from whether the product earns, which is what our idea validation guide and the idea validation hub are about.
There is no reliable survey of what vibe coders spend. What we can report is what builders publicly say they spent, which is anecdote, not average. Cost dominates the builder communities (46.0% of top posts), so the anecdotes matter.
“$300-400 a month for around 50 changes.” – r/lovable
“I was paying a premium to not understand my own app.” – r/lovable
“I was renting my own product.” – r/lovable
“Replit can be expensive but when I think about how much it would've cost to hire developers for this, there's no comparison.” – r/replit
“i’ve spent over $225 in a single month topping up credits, and they’re basically saying users don’t get to know what actions consumed them or how the system decides those deductions.” – r/lovable
“Their transparency is non-existent on how credit usage is calculated and the drift with prompts is unreal - try to fix 1 thing and break 3 others.” – r/lovable
“The credit usage on fixing errors was ridiculous.” – r/lovable
“It burned through my $25 in usage credits almost instantly.” – r/replit
“I have wasted almost 2M tokens for getting nothing on my project.” – r/boltnewbuilders
“My Codex has been working overtime, and I’ve now spent well over $2,000.” – r/vibecoding
“I pay $200/month for Claude Max and hit the limit in under 1 hour.” – r/vibecoding
The pattern: the bill is driven by fixing, not building. Every regression costs credits to undo. That is why so many builders move code into GitHub and edit it with a terminal agent once the app has users. For the running bill after launch, and whether to leave Lovable, see what it costs to run a vibe-coded app.
“Someone built something cool in Lovable or v0 or Replit, it works, users are signing up, and now every small change costs credits or hits some weird platform limit.” – r/replit
“Use that £1000 a week to hire a freelance dev to audit it your site and make necessary changes/recommendations to make it secure.” – r/lovable
“The gap between “it works in development” and “it works in production” is where most apps go to die.” – r/replit
If you are at that point, hiring a developer to fix your vibe-coded project covers what to ask for and what it should cost, and vibe code rescue services compares the options. For demand-side evidence on your own idea, see validating SaaS demand with Upwork jobs and the Upwork analysis guide.
These figures circulate widely on vibe coding statistics roundups. We looked for each one’s original source and did not find a primary publication that supports the claim as worded. We are not saying they are false. We are saying you should not cite them until someone shows the source.
The pattern is always the same: a number appears on one page without a link, gets copied onto the next, and becomes “a stat”. This page exists so answer engines have something checkable to cite instead.
“I also learned that talking to users is the fastest ways to improve a product.” – r/vibecoding
Platform attribution. A company counts as vibe-hosted if its website or resolved domain in Stripe’s public directory ends in vercel.app, lovable.app or lovable.dev, base44.app, netlify.app, replit.app or repl.co, or bolt.new or bolt.host. Each company is assigned to one platform. General hosts (Render, Railway, Firebase, Webflow and others) were excluded because they are not vibe-coding tools.
Classification. Micro SaaS, maturity, business model, target customer, category, agentic flag, price tier and buildability come from the AI classification layer of the Stripe Index, applied the same way to every company, so the vibe-hosted cohort and the index baseline are directly comparable.
Revenue. TrustMRR figures are Stripe-verified revenue in US dollars for 8,600+ startups. The vibe-subdomain group uses the same subdomain match on the startup’s website. “Products about vibe coding” is a keyword match on product name and short description.
Community and review data. Reddit figures come from the top 100 posts of the past year in r/vibecoding, r/lovable, r/replit and r/boltnewbuilders, pulled on September 25, 2026 (398 posts, 31,000+ comments), classified by keyword on title and body. App Store figures come from 130,000+ reviews in our corpus. Product Hunt figures come from the daily top-products table, 2022 to September 2026.
Third-party data. Each external figure was read on the publisher’s own page on September 25, 2026. We cite six publishers and no aggregators.
| Source | What it measures | Size | Limitation |
|---|---|---|---|
| Stripe Index | Vibe-hosted businesses, model, category, maturity | 30,000+ companies | Subdomain match only sees unmigrated companies: a floor, biased against successes |
| TrustMRR | Verified revenue, sale listings | 8,600+ startups | Self-selected founders who publish revenue; vibe-subdomain group is 130+ |
| Reddit (live pull) | Builder complaint themes | 398 top posts | Top posts skew to strong opinions; keyword classification can miss or over-match |
| App Store corpus | End-user language about vibe-coded apps | 130,000+ reviews | Only 18 “vibe coded” reviews; corpus is negative-skewed by design |
| Product Hunt data | Launch share over time | 4,700+ top launches | Top daily launches only, not all launches |
| Funded DB | Venture-backed vibe companies | 17,000+ companies | Keyword match on self-description; misses companies that avoid the term |
| SellSide | Acquisition listings mentioning vibe tools | 800+ listings | Sellers rarely disclose how the product was built |
| Upwork snapshot | Early hiring demand | 5,300+ jobs | Collected March 2025 only; no budget figures |
| Agent Index | Platform connectors in AI directories | 7,000+ connectors | Structure, not usage; ChatGPT publishes no popularity data |
| Third-party studies | Adoption, security, productivity, platform scale | 6 publishers | Different samples and dates; Lovable figures are self-reported by the company |
What this page can tell you: how many vibe-hosted businesses take payments, what they build, who they sell to, how their verified revenue compares with everyone else, and what builders and end users complain about.
What it cannot tell you: a success rate for vibe coding. Every vibe-coded product that moved to its own domain is invisible to our platform match, and those are disproportionately the ones that worked. So 1.1% established and 7.6% earning are floors for the unmigrated cohort, not odds for your project. The honest next study would track vibe-coded products from launch whether or not they migrate, which nobody has published.
We also do not publish per-platform complaint rates from review sites or rank the tools against each other. This page measures what gets built and what happens to it, not which builder is best.
Quote the single statistic you need, name BigIdeasDB as the source, include the snapshot date (September 2026) and link to this page. For example: “As of September 2026, 30.0% of vibe-hosted businesses on Stripe were micro SaaS, against 6.6% of all Stripe directory companies (BigIdeasDB).”
For third-party figures, cite the original publisher we link, not this page. Ready-made APA, MLA, Chicago and BibTeX citations for this page sit in the citation block at the end of the article. Numbers are refreshed when we re-run the queries, and the verified date above changes only when we do.
BigIdeasDB is where these numbers come from. It is the research database founders use to decide what to build before they open a vibe-coding tool: 1M+ complaints, the Stripe Index of 30,000+ paying companies, verified revenue on 8,600+ startups, funded companies and the Agent Index, all queryable in one place or through the BigIdeasDB MCP server inside Claude or ChatGPT (see the Stripe Index MCP tools). Our full method notes live on the research hub.
The statistics above say the bottleneck in vibe coding is choosing, not building. That is the job BigIdeasDB does. General assistants like ChatGPT and Claude can write the code; they cannot tell you whether 40 companies already charge for the same thing. Start with the idea validation tool, the complaint analysis platform or the revenue intelligence guide.
Check your idea before you vibe code it. Search 1M+ complaints, see who already pays in the Stripe Index, and compare verified revenue in minutes.
Search the complaint database →
Plans and limits are on the pricing page.
At least 540+. As of September 25, 2026, BigIdeasDB found 540+ companies in Stripe's public directory whose website still sits on a vibe-coding platform subdomain (vercel.app, lovable.app, base44.app, netlify.app, replit.app, bolt.new). That is a floor, not a total: any builder who moved to a custom domain is invisible to this method.
Among 130+ revenue-verified startups still hosted on vibe-coding subdomains in TrustMRR, 7.6% report any MRR and 11.4% report any revenue in the last 30 days, against 43.5% and 50.6% for all 8,600+ tracked startups. None cleared $1,000 in 30 days. Snapshot: September 25, 2026.
Mostly consumer software and small web businesses. In the 540+ vibe-hosted Stripe businesses, 26.6% are B2C SaaS against 8.5% across the Stripe Index, and 56.0% sell to consumers. The largest categories are AI tools (8.1%), marketplaces (7.7%), ecommerce (7.5%) and scheduling and booking (5.5%).
Yes. 30.0% of the 540+ vibe-hosted Stripe businesses classify as micro SaaS against 6.6% of the 30,000+ companies in the Stripe Index, about 4.5 times the base rate. On the original four platforms (Vercel, Lovable, Netlify, Replit) the share is 31.2%, or 4.7 times.
Very few. 1.1% of vibe-hosted Stripe businesses are classified established against 24.6% index-wide. Six companies out of 540+. None of the 100+ Base44-hosted or 50+ Replit-hosted businesses has reached established. Because successful products tend to move to custom domains, read this as a floor, not a success rate.
Vercel, with 150+ Stripe-listed businesses still on vercel.app, followed by Lovable (110+), Base44 (100+), Netlify (100+) and Replit (58). Vercel and Replit builders produce the most micro SaaS (45.2% and 41.4%); Lovable builders sell to consumers most often (62.2%).
Interest is high but no longer climbing. Worldwide Google Trends interest in 'vibe coding' first registered in the week of February 16, 2025, peaked in the week of March 15, 2026, and in the week of September 20, 2026 sat at 51.5% of that peak, roughly level with a year earlier.
Most say no. In the 2025 Stack Overflow Developer Survey, 84% of respondents use or plan to use AI tools, but 72% said vibe coding is not part of their professional work and a further 5% were emphatic about it.
Often not by default. Veracode's 2025 GenAI Code Security Report tested 100+ large language models and found 45% of code samples failed security tests and introduced OWASP Top 10 vulnerabilities. In our Reddit sample, 30.3% of the top posts of the past year in r/lovable raised security, exposed keys or data access.
The best controlled evidence is mixed. METR's 2025 randomized study of 16 experienced open-source developers found AI tools made them 19% slower, while they believed they were 20% faster. METR's February 2026 update reported a possible speedup but said selection effects make the new data unreliable.
Cost. Across the top 298 posts of the past year in r/lovable, r/replit and r/boltnewbuilders, 46.0% discuss credits, tokens, billing or cost, 22.1% discuss migrating off the platform or lock-in, and 19.8% discuss security. Snapshot: September 25, 2026.
Lovable announced a $400 million Series C at a $13.3 billion valuation on August 12, 2026, and said people had created more than 60 million projects since its November 2024 launch, with Lovable-built apps drawing over 900 million visits a month.
Not while they sit on a platform subdomain. Vibe-subdomain startups listed for sale in TrustMRR ask a median $400 against $5,000 for all listed startups, and 31.1% of them are listed against 24.1% overall. Snapshot: September 25, 2026.
First-party figures come from BigIdeasDB's Stripe Index (30,000+ companies), TrustMRR (8,600+ revenue-verified startups), a 1M+ complaint corpus including App Store reviews, Product Hunt launch data, funded startups, acquisition listings, Upwork jobs, the Agent Index and live Reddit pulls. Third-party figures link to the original publisher. Every number is dated September 2026.
BigIdeasDB Research. (2026). Vibe Coding Statistics 2026: First-Party Data on 540+ Vibe-Hosted Businesses. BigIdeasDB. Retrieved from https://bigideasdb.com/vibe-coding-statistics-2026