Are indie hackers really going extinct?

Why does it feel like indie hackers are disappearing?

Indie hackers feel rarer today because the old edge of being able to build software cheaply has collapsed, while getting attention and customers has become tougher.

The change on the building side is huge. Lovable says people have created more than 50 million projects on its platform since late 2024. Those projects include internal tools and experiments, so we cannot count them as 50 million startups. But the number still shows how radically software creation has opened up. Add Cursor, Claude Code, Replit, Bolt and similar tools, and a decent web product that once required a technical founder can now be assembled by a much larger group of people.

The strange part is that easier building has not produced better startup odds across the board. ChartMogul studied more than 6,000 software companies and found that newer cohorts have generally been worse at breaking through than companies that started monetizing before the software boom peaked.

Distribution has also become less generous. In its latest large study of 300,000 informational keywords, Ahrefs found that a Google AI Overview was associated with 58% fewer clicks to the number-one organic result than we would otherwise expect.

A founder can now ship something credible over a weekend and then spend months trying to make people care. That reversal explains a lot of the pessimism around indie hacking right now.

Are fewer people actually becoming indie hackers?

No. The clearest founder-formation data we have shows a sharp rise in people starting companies alone.

Carta's latest Founder Ownership research found that solo founders represented about 36% of startups founded on its platform in 2025, up from 31% one year earlier and 18% in 2016. In other words, the solo-founder share doubled in less than a decade.

Stripe Atlas shows another part of the same shift. Among companies incorporated through Atlas, 20% now get their first paying customer within 30 days. That figure was only 8% in 2020. The median revenue generated during a startup's first six months also increased 39% year over year in the latest Atlas cohort.

Carta and Stripe Atlas cover startups more broadly, so we would not label every company in those datasets an indie business. Still, the direction is hard to dismiss. Starting alone is becoming more common, and getting from incorporation to a first customer is happening much faster.

Measure	Earlier level	Latest level
Carta startups with a solo founder	18% in 2016	~36% in 2025
Carta solo-founder share one year earlier	31%	~36%
Stripe Atlas startups paid within 30 days	8% in 2020	20%
First six months of Atlas revenue	Baseline	+39% year over year

Is AI creating more indie hackers than it kills?

Yes, at least at the starting line. AI is making it dramatically easier for one person to turn an idea into a working product and charge for it.

Lovable's 50 million-plus projects give us the clearest sense of scale, but the revenue data is more interesting. When ChartMogul classified more than 6,000 software companies by product type, AI-native startups were three times as likely as the broader population to reach $1 million ARR within six months. They were eight times as likely to reach $10 million ARR within a year.

Those spectacular outcomes remain rare. Fewer than 1% of the AI-native companies in ChartMogul's dataset reached $10 million ARR within 12 months. AI has created some extremely fast winners without making startup success normal.

The bigger effect is on who can try. A founder can now use AI for coding, design, copy, analysis, support and operations before hiring anyone. The downside comes from every competitor having access to roughly the same leverage.

AI is expanding the founder pool while raising the bar. Being able to build has become far less special than knowing what to build, reaching the right customers and giving them a reason to stay.

Is it harder for a new SaaS to reach $1 million ARR today?

Yes. A typical new SaaS has slightly worse odds of reaching $1 million ARR today than the cohorts that launched before the software boom peaked.

ChartMogul grouped software companies by the year they first started monetizing. Among the 2016 to 2019 cohorts, roughly 15% reached $1 million ARR within three years. More recent cohorts were closer to 12%, while the 2021 cohort fell to 10.1%.

That decline is especially interesting because almost everything involved in starting a SaaS became cheaper during the same period. Cloud infrastructure improved, payments became easier, open-source software expanded and AI dramatically reduced the amount of coding required. Yet the probability of building a $1 million business did not improve with the tooling.

There are new outliers. The 2023 cohort was 50% more likely than the broader sample to reach $1 million ARR within six months, helped by an unusually strong group of early AI companies. That surge has not changed the broader distribution yet.

Looking across ChartMogul's full historical dataset, only 3.3% of software companies reach $1 million ARR within one year. The figure rises to 13.4% within three years and 25.1% within five. Shipping is fast now. Building a substantial recurring-revenue business still takes years for most founders who ever get there.

Time after first monetization	Share reaching $1M ARR
Within 1 year	3.3%
Within 3 years	13.4%
Within 5 years	25.1%
2016-2019 cohorts within 3 years	~15%
2021 cohort within 3 years	10.1%

Are most indie products still making almost nothing?

Yes. The current verified-revenue data is brutally top-heavy: most listed indie products have barely generated any revenue.

TrustMRR's live statistics now aggregate more than $1.5 billion of verified revenue across roughly 54 million payment transactions. Within that dataset, 67.8% of businesses have generated less than $1,000 in total revenue. Another 17% sit between $1,000 and $10,000.

Only 10.2% have crossed $10,000 without reaching $100,000. Another 4.1% sit between $100,000 and $1 million, while just 0.9% have generated more than $1 million.

We should not pretend TrustMRR is a census of indie hacking. Founders decide whether to connect their businesses, young projects are heavily represented and the dataset naturally reflects the community around the platform. Even with those limitations, the distribution is a useful reality check against founder feeds dominated by revenue milestones.

The middle exists, but it is narrow. For every visible $20,000-a-month SaaS, there is a much larger pile of products that launched successfully from a technical perspective and never became meaningful businesses.

Verified lifetime revenue	Share of TrustMRR businesses
$0-$1K	67.8%
$1K-$10K	17.0%
$10K-$100K	10.2%
$100K-$1M	4.1%
$1M+	0.9%

Is it now easier to build an indie SaaS than to get customers?

Yes. For indie hackers these days, shipping the product has become much easier than building reliable distribution around it.

Two datasets make the change unusually clear when we put them side by side. Stripe Atlas says the share of new companies reaching a paying customer within 30 days has jumped from 8% to 20% since 2020. Founders are getting something into the market and charging for it much faster.

Yet ChartMogul finds that newer SaaS cohorts have fallen from roughly a 15% chance of reaching $1 million ARR within three years to about 12%. The top of the funnel has opened enormously without producing a similar improvement further down.

Put those two numbers together and the picture gets clearer. The first sale is easier to manufacture. Repeated acquisition, retention and enough differentiation to compound toward real scale are still difficult.

Customer acquisition data from ChartMogul points in the same direction. In its analysis of more than 2,500 bootstrapped and VC-backed SaaS companies, new-business growth weakened sharply after the software boom, while retention for smaller companies looked surprisingly similar across funding models. Customers were not universally fleeing bootstrapped software. The harder problem was continually finding enough new ones.

An indie founder who can code fast has plenty of company now. Someone with direct access to a niche, proprietary data, strong word of mouth, an unusual workflow or a distribution channel competitors cannot copy is much harder to replace.

Is Google SEO still a reliable growth engine for indie hackers?

Google SEO still works for indie hackers, but informational SEO is clearly less reliable now than it was before AI Overviews.

Pew Research Center followed nearly 69,000 real Google searches and found a large difference in user behavior. When an AI summary appeared, people clicked a traditional search result on only 8% of visits. Without the AI summary, the click rate was 15%. Links inside the AI summary itself received clicks on just 1% of visits.

AI answers are also becoming normal behavior rather than a niche feature. In Pew's more recent survey, 60% of US adults said they read AI summaries at the top of search results.

Ahrefs then reran its 300,000-keyword study using newer search data. Its estimate of the damage to the number-one result increased from 34.5% in the original study to roughly 58%.

That does not make every SEO strategy bad. Someone searching "best invoicing software for electricians" can behave very differently from someone asking Google an informational question that the AI Overview can answer in four sentences. Commercial pages, calculators, tools, templates, comparison searches and narrow high-intent keywords can still be excellent sources of customers.

The risk has changed. An indie hacker can spend months earning a number-one ranking and still have Google absorb a growing share of the value created by that ranking. Building an entire business around informational SEO looks much less comfortable now.

Do indie hackers still need a big audience to make money?

No. A big founder audience helps, but current TrustMRR data says it explains surprisingly little of the revenue gap between indie businesses.

TrustMRR currently has enough linked founder accounts to compare revenue with X audiences across 4,663 businesses. The correlation is only 0.28. Bigger audiences tend to accompany more revenue, but the relationship is weak enough that follower count explains little on its own.

The follow-up data is even more revealing. Among 236 companies where TrustMRR could compare changes over time, revenue grew faster than follower count in 81% of cases. The correlation between follower growth and revenue growth was only 0.12.

An audience can still be extremely valuable. Marc Lou, Pieter Levels and other highly visible founders have repeatedly turned distribution into sales. We simply should not confuse visibility with revenue.

A founder selling a boring $300-a-month workflow tool to a specific professional niche may need a few hundred good prospects rather than 100,000 followers. Search, direct sales, integrations, communities, affiliates and word of mouth can all produce businesses that barely register on founder Twitter.

Building in public remains one route. It has never been the whole map.

Is the classic indie-hacker micro-SaaS playbook breaking?

Yes. The classic indie-hacker micro-SaaS playbook is breaking fastest where AI can easily copy the product's main advantage: boilerplates, thin software layers and generic horizontal tools.

Marc Lou's portfolio gives us a rare before-and-after comparison because the products share the same founder, audience and broader distribution machine.

In November 2025, Lou reported $21,100 of monthly revenue from ShipFast, his Next.js SaaS boilerplate. TrustMRR generated $17,500 that month, while DataFast generated $16,700.

The latest Stripe-verified figures on TrustMRR show a completely different mix. ShipFast generated roughly $2,300 over the latest 30 days, down about 89% from that November level. TrustMRR generated about $39,000, roughly 123% higher, while DataFast reached around $27,000, up about 62%.

Lou's business did not collapse with ShipFast. His current portfolio still shows roughly $49,500 of recurring MRR and almost $3 million in verified lifetime revenue. The money moved toward products centered on revenue data, analytics and marketplace information while the boilerplate lost much of its previous monthly volume.

One founder cannot prove what is happening to every micro-SaaS. Still, this is a remarkably clean example of the broader pressure we see elsewhere: tools that mainly save coding time face a much tougher value proposition once AI makes coding dramatically faster.

Product	Nov. 2025 revenue	Latest 30-day revenue	Approx. change
ShipFast	$21.1K	$2.3K	-89%
TrustMRR	$17.5K	$39K	+123%
DataFast	$16.7K	$27K	+62%

Are bootstrapped SaaS companies still growing today?

Yes, but slower. Bootstrapped SaaS companies are still growing today, with the latest SaaS Capital survey putting median growth at 20%.

That figure was 23% in the previous survey. Across all private B2B SaaS companies in the latest sample, median growth was 22%, down from 25%. So the slowdown reaches well beyond indie businesses.

The cooling becomes even clearer among larger bootstrapped companies. SaaS Capital's current benchmark for companies between $3 million and $20 million ARR puts median annual growth at 15%, down from 20% one year earlier. The 90th percentile still grew 42.3%, although that also fell from 51%.

This looks like a slower SaaS market, not a shrinking one. Only 7.3% of all businesses in SaaS Capital's latest sample reported flat or negative growth. Double-digit growth remains completely normal among established bootstrapped software companies.

That is a tougher environment than a few years ago, especially for founders who built their expectations during the software boom. It is still a very workable environment for a small owner-operated company that does not need venture-style growth.

Are bootstrapped SaaS companies still profitable today?

Yes. Bootstrapped SaaS is still financially healthy, with most companies in the latest benchmark operating around breakeven or making money.

SaaS Capital's latest spending survey covered more than 1,000 private B2B SaaS companies. It found that 83% of bootstrapped businesses were profitable, at breakeven or within two percentage points of breakeven. Among equity-backed companies, the equivalent figure was 52%.

Spending tells the same story from another angle. The median bootstrapped company spent 96% of ARR across its departments. Equity-backed companies spent 101%.

We should be careful with those figures because spending as a percentage of ARR is a benchmark rather than a conventional audited profit margin. The gap is hard to miss. Bootstrapped SaaS companies currently run much closer to self-sufficiency than funded peers.

A business model where most established companies can finance themselves from customer revenue is in no obvious danger of disappearing. Growth has become harder; the underlying economics remain attractive.

Can indie hackers still build and sell multi-million-dollar businesses without VC?

Yes. Indie hackers can still build multi-million-dollar software companies without VC, and buyers still pay serious money for the profitable ones.

Tally is one of the best current examples because its growth is documented year by year. The bootstrapped form builder launched in 2020, reached roughly $1,000 MRR in 2021, $10,000 MRR in early 2022, $100,000 MRR in early 2024 and $2 million ARR in early 2025. It has now crossed $5 million ARR.

Tally reached that level with 11 people and no venture funding. That team size is useful context for the whole solo-founder debate. Successful indie companies do not have to remain one-person operations forever. An 11-person company producing more than $5 million of recurring revenue is still extraordinarily lean.

The exit market remains real too. Acquire.com's latest acquisition report analyzed more than 136 deals with disclosed pricing information. SaaS businesses sold at a median 3.9 times annual profit in both 2024 and 2025. Businesses making less than $100,000 of annual net income averaged about 3.7 times profit, while those between $100,000 and $1 million averaged roughly 3.9 times.

Buyers have become picky. Acquire says most deals now cluster around three to five times net income, and nearly all transactions closing through its marketplace involve profitable businesses. Typical time on market is around 80 to 90 days, while clean and sensibly priced companies can close considerably faster.

For a founder producing $300,000 of annual profit, a low-seven-figure exit is therefore completely plausible at the multiples buyers are currently paying. No billion-dollar valuation, VC round or 200-person company is required.

The indie model can still produce serious wealth. The route now looks more like years of compounding revenue, a tiny team and disciplined economics than a viral launch followed by an enormous funding round.

So, are indie hackers really going extinct?

No. Indie hackers are still multiplying, but the easy version of indie hacking is fading fast.

Across founder formation, verified revenue, SaaS growth, search behavior and small-company acquisitions, the picture is pretty consistent.

More people are starting alone. Carta's solo-founder share has doubled in less than a decade, and Stripe Atlas companies are reaching paying customers much faster than they used to. AI is pushing the cost and difficulty of getting a first product into the market even lower.

At the same time, breaking through has become harder. Newer SaaS cohorts have weaker odds of reaching meaningful scale than several earlier cohorts. Most projects in current verified-revenue datasets make almost nothing. Informational SEO sends fewer clicks when AI answers appear, while generic products face more competitors that can be built extremely quickly.

The businesses that make it through that filter still look excellent. As seen above, the latest SaaS Capital data shows that the large majority of bootstrapped SaaS companies operate around breakeven or better. Tally has reached several million dollars of recurring revenue without outside funding. Acquire's recent transactions show buyers continuing to pay roughly four times annual profit for good small SaaS businesses.

The old indie-hacker archetype is where the pressure is concentrated. Being a capable coder, shipping a horizontal micro-SaaS, posting it on Product Hunt, writing SEO articles and building in public used to combine several scarce advantages. Most of those advantages are widely available now.

The founders doing well these days tend to bring something harder to reproduce: direct access to customers, strong niche knowledge, useful proprietary data, a product buried deep inside a workflow, an audience people genuinely trust or a distribution channel that does not disappear when an algorithm changes.

Calling this extinction gets the direction wrong. There are more indie founders, more tools and more ways to launch than before. The easy wins are disappearing much faster than the indie hackers.