Stage 1
$0–$100 MRR
Early monetisation signals
- ImageRouter$63
- Foxreach$52
- Think again$45
- NotchLive$40
- Vidko$39
Benchmark · AI
AI Product Revenue across 112 tools with non-zero MRR (as of 2026-10-30): median $208, top decile from $10,376 — below the library median $396. "AI wrapper" is one theme inside this AI set (also vertical tools, model resellers, agent products), not a claim that every row is a wrapper.
AI products
205
of 851 in the library
Publishing MRR
112
54.6% of AI products
Median MRR
$208
library median $396
AI products report MRR less often than the rest of the library: 112 of 205, against 435 of 851 overall.
The median is $208, below the library-wide $396. A crowded category pulls the middle down, not up.
The ceiling is real: 13 AI products clear $10k, and the top decile starts at $10,376. So both stories are true — there is money, and most products do not find it.
A product whose core value is a workflow wrapped around one or more model APIs: your prompt, interface, billing and integrations in front of someone else’s model. We do not treat that as a lesser business — distribution is the hard part, and a wrapper that finds a buyer is doing the hard part.
| Type | Where the value sits | What decides revenue |
|---|---|---|
| Workflow wrapper | The steps and defaults around the model | Niche fit and switching cost |
| Vertical tool | A job in one industry | Buyer budget in that industry |
| Model reseller | Cheaper or unified access | Margin and rate limits |
| Agent product | Autonomy over steps | Trust and output reliability |
All four are filed under one category in our data, so this table is a reading aid, not a measurement.
| Segment | Products | Publish MRR | Median | Top 10% | ≥ $1k | ≥ $10k |
|---|---|---|---|---|---|---|
| AI | 205 | 112 | $208 | $10,376 | 32 | 13 |
| Whole library | 851 | 435 | $396 | $28,326 | 179 | 93 |
| One-person products | 76 | 37 | $64 | $1,242 | 4 | 1 |
Different denominators: each row uses its own segment. Never compare median across rows without checking the "publish MRR" column.
The distribution answers "how much". The mechanics answer "how": a small monthly price multiplied by the handful of users a new tool gets, in front of a model bill that scales with usage while the price does not.
93 of 205 AI products report no MRR at all — zero or missing. That is a different failure from "too little": those products never reached a recurring billing event worth publishing.
At $208 MRR a heavy-usage tool can lose money on its busiest users. We do not carry model costs, so we will not put a number on it — but "cheap subscription, unlimited usage" is a plan to subsidise them.
The usual answer to "how to use AI to make money" starts with "build a wrapper". Building is the slowest route to a first dollar, and most AI products in this sample never report one. Ordered by how fast money actually arrives:
Sell the outcome to a business that already has a budget — an automation job, a cleanup, a workflow that saves hours. First payment in weeks, and the buyer never has to understand your model choice.
Use the same tools to deliver a service you already sell. The skill is the product; the model is only the speed.
Only then build the tool. It has the highest ceiling here and the lowest hit rate: 28.6% of reporting AI products clear $1k, against 41.1% across the library.
We have no revenue sample for the first two paths, which is why this is an order of payment and not a ranking of returns. The third path is the one this page measures.
Research buckets
These stages are research filters for studying products — not a universal success ladder. Snapshot authority (as of 2026-10-30): library 851 / non-zero MRR 435 / median $396; AI segment 205 products / 112 with MRR. Live stage counts below use LISTABLE cards with primary_market=AI and published MRR > 0 (n=169 of 184 AI listable) and may differ from the snapshot.
Stage 1
Early monetisation signals
Stage 2
First paid-demand check
Stage 3
Business model taking shape
Stage 4
Looking for scalable products
Stage 5
Mature revenue cases to study
12 AI products from the same sample. They are not recommendations; they are the population we can measure, and each row links to its own report.
Uncategorised
$864,000
30d $645,833
AI
$241,149
30d $210,691
$187,116
30d $196,665
Uncategorised
$128,000
30d —
Uncategorised
$78,800
30d $83,250
$66,796
30d $94,882
AI
$51,278
30d $55,238
AI
$51,101
30d $54,369
AI
$50,442
30d $38,656
Uncategorised
$48,500
30d $70,167
$44,848
30d $55,084
AI
$40,177
30d $95,664
Margin. Revenue is in our fields; model cost, hosting and support are not. A $20k MRR wrapper can be less profitable than a $2k one.
Retention. We do not collect churn or cohort data, so "does it last" is not answerable here.
Whether the label applies. Plenty of products use a model and are not wrappers; the category is assigned by the product, not by us.
The useful question
Not "do wrappers make money" — 13 of them do. The useful question is which of the four shapes above your product is, because each has a different ceiling and a different reason to churn.
Next
Browse the revenue library, or see what a single report covers.
Method
851 products in our library that publish revenue through a payment provider, crawled 2026-10-30. 435 of them report a non-zero MRR; medians and percentiles are computed on that subset only. Missing values are never treated as zero. This is the population that chooses to publish revenue — not the whole market.
Full method and limits