On October 3, 2026, a developer posted to r/SaaS that he had built open-source, clean-room replacements for 7 of Adobe's apps, including Photoshop, Illustrator and Premiere. By October 14, 2026, the post had 4,083 upvotes (r/SaaS, October 3, 2026). Eleven days later, the same community was asking the question underneath it: if anyone can build software with AI, who are we building products for? That thread drew 209 upvotes and 169 comments on the day it went up (r/SaaS, October 14, 2026).
This is the AI clone wave, and for a technology company it changes what protects a business. When the feature set can be copied, the durable value moves to the parts a copy cannot reach. The one most companies can start building this quarter is distribution.
This post is written by the team building distribution. We are early, so nothing below is a client result. It is how we read the clone wave, and the public research behind that view.
What is the AI clone wave?
The AI clone wave is the run of public rebuilds in which an agent, steered by one developer, reproduces a known product's features from the outside and releases them free. The clearest case so far is ArtCraft, a set of open-source rebuilds of Adobe's creative apps that went from a GitHub repository to mainstream coverage in about a week.
The record is public. The PhotoCraft repository, the image editor in the set, was created on GitHub on September 30, 2026 and passed 61,000 stars by October 14, 2026 (GitHub, read October 14, 2026). PetaPixel reported on October 7, 2026 that the suite covers versions of 7 Adobe apps, Photoshop, Illustrator, Premiere, Lightroom, Acrobat, After Effects and InDesign, built as a "clean-room reimplementation" and still in alpha. By October 14, 2026, the ArtCraft apps page listed 13 apps, all open source, after the team announced rebuilds of word processing, spreadsheet and slide apps as well (X, October 11, 2026):
The developers watching it took the point fast. A Fireship video on the clones, published October 12, 2026, had 3,167,479 views two days later (YouTube, October 12, 2026):
The coverage is careful about the limits. PetaPixel's own report (October 7, 2026) notes that an app is more than its codebase: it is also stability, performance and the edge cases that decide professional use. Feature parity is not the same as a product people trust with their work. That gap matters, and it is the first hint of where the durable value moved.
Why does the feature set stop protecting a product?
Because the cost of reproducing it collapsed. A feature set used to be protected by the months a competitor needed to rebuild it. When an agent can reproduce those features in a weekend, the protection is gone, even if the original is still better at everything a demo does not show.
One founder put it plainly in r/SaaS on October 9, 2026: "If a weekend and a few bucks of compute can reproduce what my team spent the better part of a year building," then the feature set was never what protected the business. The post had 303 upvotes and 238 comments by October 14, 2026 (r/SaaS, October 9, 2026).
The same founder reached for music as the comparison: when file sharing arrived, the file stopped being the product and the money moved somewhere else.
A day earlier, another thread asked what the point of building SaaS is anymore and listed the candidates outright: the data, distribution, integrations and trust. It collected 411 comments by October 14, 2026 (r/SaaS, October 8, 2026).
The tooling behind this is already normal. In the Stack Overflow 2025 Developer Survey, 84% of respondents were using or planning to use AI tools in development, up from 76% the year before, and 51% of professional developers used them every day (Stack Overflow, 2025). Building keeps getting cheaper for everyone, including the team that wants your customers.
What can an agent not clone?
Anything that lives outside the codebase. An agent can study a product from the outside and rebuild what it sees. It cannot rebuild the data you have collected, the trust buyers attach to your name, the place where their work already happens, or the channels that already put you in front of them.
The October 9 thread drew the same line (r/SaaS, October 9, 2026): the features, screens and logic on one side, and on the other "the model you build on, the data you own, the distribution you already paid for, the trust and identity people attach to you, and the rails."
Most of the right-hand column takes years. Data accumulates with usage. Trust accumulates with time and reliability. Rails depend on getting embedded in a workflow.
Distribution is different: it is the one item a company can start building on purpose this quarter, and the one that most directly decides whether a buyer ever hears your name before a clone's.
Why does distribution decide who wins the deal?
Because most B2B deals are settled before a buyer talks to anyone. If the buying decision forms during the buyer's own research, the company that was already present in that research has the advantage, whatever a cheaper copy can do on a feature list.
The data on this is consistent. The 6sense 2025 B2B Buyer Experience Report, a study of nearly 4,000 B2B buyers, found that the winning vendor was already on the Day One shortlist 95% of the time, and that four out of five deals went to the pre-contact favorite (6sense, 2025). Buyers first contacted a seller at 61% of the journey, down from 69% the year before, so most of the work is still done before the first call.
Buyers also prefer to do that research alone. In a Gartner survey of 632 B2B buyers published June 25, 2025, 61% said they prefer a rep-free buying experience, and 73% said they actively avoid suppliers who send irrelevant outreach (Gartner, June 25, 2025). Cold reach is screened out. Reach that arrives through people the buyer already listens to is not.
Put the two together and the clone wave looks different. A copy can match your features on launch day. It cannot match the months you spent being the name a buyer heard from the creator, the newsletter or the podcast they already trust.
What does distribution mean for a technology company?
It means the channels that already reach your buyer, run as a working system: creators, podcasts, newsletters, communities, events and media. Distribution is not an audience you own outright. It is a set of relationships, a story those channels can carry, and a record of which placements actually reached the people who buy.
The phrase itself has become common enough to be a joke. On October 12, 2026, one founder summed up his whole feed in two slogans, that software is dead and that distribution is now the thing that protects you, and the post passed 3,000 likes (X, October 12, 2026).
He has a point about the slogan. The words cost nothing to copy, so they protect nobody. What protects a company is the operating work behind them, and that work is unglamorous: choosing the few channels your buyer actually uses, briefing them with one clear story, and running the placements more than once so a buyer meets you in several places they trust.
How do you build distribution a clone cannot copy?
You build it the way you would build any asset that compounds: deliberately, repeatedly and with records. The goal is not one spike of attention on launch day. It is a set of channels that already know your product, already reach your buyer, and can be called again with a known result.
- Start from the buyer, not the channel. Name who signs the deal and who influences it, then find where those people already read, watch and listen. A creator with the right engineers beats a larger one with the wrong audience.
- Brief one story. Every channel should carry the same core message in its own format. Several versions of the story describe several products, and a buyer cannot tell which is yours.
- Repeat with the channels that worked. Distribution compounds through repetition. The second placement with a channel that reached your buyer is usually worth more than a first placement with a stranger.
- Agree the proof before you book. Decide what each placement must return before any money moves, so the record is clean and comparable across channels.
- Keep the relationships. A clone can copy a launch announcement. It cannot copy a creator who already understands your product and has told their audience about it before.
If you are planning a launch now, the launch brief a creator campaign needs covers the brief in detail, and how SaaS teams buy influencer marketing compares the ways to run it.
How do you measure distribution without overclaiming?
Measure delivery exactly and influence directionally. Delivery is a fact you can record for every placement: what was agreed, what went live, when, where, what it cost and whether it delivered. Influence is softer, so ask buyers where they first heard of you instead of claiming a precise revenue line from a single post.
This is where most distribution efforts fall apart. Without a consistent record, a team cannot tell which channels moved buyers, so it cannot repeat what worked, and the reach never compounds into an advantage. With a record, every placement makes the next plan better. That is the part of distribution a competitor cannot shortcut, even with an agent that copies everything else overnight.
Be wary of any route that promises exact attribution from a creator post. An honest read pairs the evidence from each placement with what buyers say on the demo form and the first call.
Where distribution fits
We are building distribution for technology companies: one brief and one budget in, a plan of placements across the creators who reach your buyer out, with approval before anything is booked and evidence for every placement. Plans run on X creators today, per the distribution network, and how a campaign runs lists the evidence each placement collects: commitment, asset, timestamp, live URL or attendance signal, spend and delivery state. Teams that want to call it from their own tools can read about distribution as a callable capability.
If the clone wave has you asking what still protects your company, the answer above does not depend on us. Start with the channels your buyer already trusts, and keep the proof.
FAQ
Can AI really clone a software product?
It can clone the visible product: the features, screens and behaviour. In October 2026 a developer posted clean-room rebuilds of Adobe's main creative apps to r/SaaS. What a clone does not get is the stability, support, data, trust and buyer relationships the original built over years.
What protects a software company now?
The parts a competitor cannot rebuild from the outside: data you own, trust and identity, the place where users do their work, and distribution, meaning the channels that already reach your buyer. Features still matter, but they no longer protect you on their own.
What does distribution mean for a B2B tech company?
The people and places your buyer already listens to: creators, podcasts, newsletters, communities, events and media. Owning distribution means having a working relationship with those channels, a story they can carry, and a record of which placements actually reached buyers.
How do you measure distribution without overclaiming?
Measure delivery exactly: the commitment, the published asset, the timestamp, the live URL, the spend and whether it delivered. Measure influence by asking buyers where they first heard of you. Treat any promise of exact revenue attribution from a single post with suspicion.
Is distribution what lasts, or just a slogan?
It is a slogan when it stays a phrase. It becomes durable when it is run: chosen channels, one brief, repeated placements and proof for each one. The slogan costs nothing to copy. A year of earned reach with the right audience does not.