Userdesk sold after $1.1K MRR, solo founder (reported)

01

How much did Userdesk make, and what was it sold for?

Each row shows the evidence grade and the source numbers from the list at the end of this page. The grades are explained in How Aiolum verifies.

A one-person AI support chatbot that the founder said reached about US$1,100 a month in recurring revenue, sold nine months after launch at a price nobody disclosed
Fact	Value	Grade	How we know	Sources
Monthly recurring revenue before the sale	about US$1,100	D	Founder's post of 4 April 2024: "$1.1k MRR it's difficult to achieve in less than 12 months." No Code Exits repeated it on 31 July 2026: "grew to about $1,100 MRR". One founder statement; no payment processor or buyer confirmed it.	[1, 2]
Run rate from that figure	about US$13,200 a year	calc	Calculated: US$1,100 times 12.	[1]
Sale	March 2024, through Acquire.com, buyer and price not disclosed	C	The founder announced the sale in April 2024 and wrote that he listed it on "the platform Acquired", got about 20 interested people and a couple of offers. No Code Exits and Starter Story give March 2024; No Code Exits names Acquire.com. Starter Story: "the buyer and sale price, were not disclosed."	[1, 2, 3]
Largest customer	an enterprise customer at US$500 a month	D	Founder: "it's an enterprise customer ($500/month) who subscribed", the spike in his September chart.	[1, 2]
Share of MRR from the enterprise customer	about 45.5%	calc	Calculated: US$500 / US$1,100.	[1]
Pre-sale before launch	20 lifetime licenses at US$69 in 24 hours	C	Founder's post. Starter Story writes about 30 licenses; the founder's own number is used here. The founder says few of these buyers used the product.	[1, 3]
Revenue from the pre-sale	about US$1,380	calc	Calculated: 20 licenses times US$69.	[1]
Launch	June 2023	C	Founder: "I launched in June 2023 with a pre-launch and a subscription-based model a few weeks later."	[1, 2]
Main customer source	AI directories	C	Founder: "I found my customers mainly from AI directories." He adds that they also helped the domain's search ranking.	[1]
Founder's audience on X	about 20,000 followers, mostly developers	C	Founder's post and No Code Exits. Starter Story gives about 13,000 at the time of the pre-sale.	[1, 2, 3]
Time from launch to the sale	9 months	calc	Calculated: June 2023 to March 2024.	[1, 2]
Founder's earlier exits	Iterspace (2021), Hivoe and Inboxs (2023)	C	Founder's post. Hivoe and Inboxs were sold to Hypefury after X raised its API prices.	[1]

How to read this table: a grade D value rests on one statement, here the founder's own post, repeated by a newsletter. A grade C value is a statement by the founder or the company's own pages. A "calc" value was computed on this page from the rows above it. No value is grade A or B.

Userdesk prices in December 2023, before the sale, from an Internet Archive copy of its pricing page (grade C)
Plan	Per month, billed yearly (US$)	Per month, billed monthly (US$)	Limit
Free	0	0	1 chatbot, 30 AI messages a month, 50,000 training words
Hobby	16 (190 a year)	19	1 chatbot, 2,000 AI messages a month; monthly price from the founder's post
Growth	41 (490 a year)		2 chatbots, 4,000 AI messages a month, GPT-4, daily sync
Pro	83 (990 a year)		5 chatbots, 15,000 AI messages a month
Enterprise	416 (4,990 a year)		50 chatbots, 100,000 AI messages a month, no branding
Remove branding add-on		39	removes "Powered by Userdesk"

The archived page showed each plan's price per month on the annual plan and the yearly total, with two months free on annual billing. The founder wrote that subscription plans started at US$19 a month; the other monthly prices were not shown in the archived copy. The model was GPT-3.5 by default, with GPT-4 on Growth and higher. A US$39 a month add-on removed the "Powered by Userdesk" mark. The current site belongs to a later owner and may have other prices.

02

When did Userdesk launch, and how did it grow?

From the chatbot wave of early 2023 to a sale through a marketplace, in nine months. Each entry carries its grade.

2021CRestagno sells Iterspace, a product built with a former colleague, before it has revenue. [1]
2023CHe sells Hivoe and Inboxs, two tools for X users, after X's new API prices make them hard to run. [1]
February to March 2023CHe starts Userdesk after the wave of interest in AI chatbots. [1]
Before launchCA pre-sale of a US$69 lifetime deal sells 20 licenses in 24 hours, from posts to his X followers. [1]
June 2023CLaunch, with subscriptions a few weeks later. Built in about three months with React and Next.js on Vercel and AWS. [1, 3]
September 2023DAn enterprise customer subscribes at US$500 a month, the founder wrote. [1]
December 2023CThe pricing page shows a free plan and four paid plans, GPT-3.5 by default and GPT-4 on higher plans. The founder launches Shipped.club, a Next.js boilerplate for developers. [4, 1]
March 2024DSold through Acquire.com after a letter of intent, due diligence and an asset purchase agreement, with MRR at about US$1,100 by the founder's account. Price not disclosed. [1, 2, 3]
4 April 2024CThe founder publishes the story of the sale. [1]
31 July 2026CNo Code Exits retells the sale as a lesson in founder-product fit. [2]

03

Why did Userdesk work?

Four causes, in the order they mattered. Each one is a reusable lesson.

01

Speed

The founder reused the stack of his earlier products (React, Next.js, Vercel, AWS) and shipped in about three months, while interest in website chatbots was at its peak in 2023.

02

AI directories

He said most customers came from AI directories, the lists of new AI tools that many people browsed in 2023. The listings also brought links that helped the site rank in search with few blog posts.

03

A wide price ladder

The archived pricing page listed plans from a free tier to an Enterprise plan of US$4,990 a year. The founder explained that one enterprise customer at US$500 a month moved the total quickly, because the entry plans were small.

04

Selling instead of switching audiences

The founder's distribution was his audience of developers on X, and they were not the buyers of support chatbots. He said founder-product fit mattered more than he expected, sold the product through a marketplace, and moved to a product for developers.

How it was built

These details come from the founder's post, the archived pricing page and Starter Story's summary. They are grade C. [1, 3, 4]

React and Next.js, hosted on Vercel, with Chakra UI components and AWS for background jobs, the same stack as his earlier products.
OpenAI models: GPT-3.5 (the ChatGPT API) by default, GPT-4 on the Growth plan and higher.
Training sources: websites, sitemaps, Zendesk help centers, GitBook, Notion, Google Drive and PDF files, with a daily automatic resync on Growth and higher.
Delivery: an embeddable chat widget, a direct link and a Slack app.
A Discord community for users, used for feedback and announcements.
Separate accounts with a dedicated email for every service, a lesson from his first sale, so that the hand-off to the buyer was quick.

Tools named in the sources

Each one opens its page in the Tools tab, with every story that uses it.

OpenAI APIC Next.jsC Chakra UIC VercelC Amazon Web Services (AWS)C XC LinkedIn AdsC DiscordC Acquire.comC

04

Who tried this before Userdesk, and why did they fail?

Four companies in our database of failed startups sold chat windows or answer bots for support before large language models made them cheap to build. The values below are from that database and are not independently verified.

Died 2013 to 2016Burned US$550K

Answerly

The promise

FAQ chatbots that would deflect customer support tickets so humans only handled the complex cases.

Why it died

Language understanding was too weak at the time, and Zendesk and Intercom were already in place.

Product/Tech Failure

Died 2017 to 2020Burned US$2.8M

Niles

The promise

A Slack bot that answered staff questions from the company's own knowledge.

Why it died

Slack's own features and many cheaper competitors left it no room.

Competition

Died 2012 to 2015Burned US$120K

Hipmob

The promise

Customer chat built into mobile apps and websites.

Why it died

Intercom and Zendesk added the same features faster, and Hipmob had almost no funding.

Competition

Died 2014 to 2022Burned US$600K

RightHello

The promise

Live chat for online shops that turns visitors into buyers with well-timed conversations.

Why it died

Intercom raised far more money and won the chat tool market; RightHello could not afford to compete.

Ran Out of Cash

The failed startups come from our database of 1,749 dead startups, retold here in our own words. Its entries are AI-assisted summaries of public sources, so these cards carry no evidence grade.

What changed

Answerly and Niles tried to answer questions from a company's own knowledge when software could not read free text well, so building the bot was expensive and the answers were poor. In 2023 the OpenAI API made good answers cheap, and one engineer could build the whole product in three months without funding.

The same change let hundreds of competitors build the same product, which is the risk that ended Hipmob and RightHello. The founder named the crowded market and his unclear target customer as his main problems. He did not try to outlast the competition; he sold the product while it was still growing.

05

Can one person copy Userdesk now?

Yes, as a small product to build and sell, not as a large business.

A website chatbot is now a common product with many competitors, but the method is easy to repeat: reuse a stack you know, ship in weeks, list the product where AI buyers look, and sell it through a marketplace when you are not the right owner.

Where it is still open: Answer bots for one niche with its own content sources, for example a bot trained on a software product's documentation or a shop's product catalog, sold to an audience the founder already has.

1Reuse a stack you already know so that the first version ships in weeks.
2List the product in AI directories, where buyers of new AI tools search.
3Keep each service on a dedicated account so that a future sale is a quick hand-off.
4If your audience does not match the product's buyers, sell it through a marketplace while it is growing.

What could go wrong for Userdesk?

The risks are the mirror image of the causes above.

What is not verified

The figure of about US$1,100 in monthly recurring revenue rests on one statement by the founder, Luca Restagno, in his post of 4 April 2024; No Code Exits repeated it in July 2026 without new evidence. No payment processor, marketplace listing or buyer has confirmed it, and the sale price was not disclosed. A reader could look for the Acquire.com listing or a statement by the buyer.

One customer was almost half of the revenue

By the founder's account, one enterprise customer paid US$500 a month, about 45.5% of the US$1,100. Losing that one contract would have cut recurring revenue almost in half.

Sources disagree on small details

Starter Story's summary says about 30 pre-sale licenses and 13,000 followers; the founder's own post says 20 licenses and 20,000 followers. The founder says he used "the platform Acquired"; No Code Exits names Acquire.com.

Founder's marketing tactics

Starter Story writes that the founder explored LinkedIn Ads and cold outreach for leads. The founder's own post names only his X audience and AI directories.

Dependence on one model provider

The archived pricing page said the chatbots used OpenAI models. The founder had already sold two products because X raised its API prices, and he wrote that platform risk is real.

The current site belongs to the buyer

userdesk.io is still online in October 2026 under the later owner. Its pages and prices are not used for the facts on this page, except to show that the product still exists.

More in Customer support agents

Other businesses in the same group, best evidence first. All 15 stories in the group, 4 with grade-A revenue.

AI customer-support agents · Canada, now USA

Chatbase

Evidence A

$10M ARR

Solo founder · 37 months after launch, revenue growing

It launched the obvious application of a new model within weeks, with a pricing page on the first day. The founder built the parts around the model instead of a model, so every model upgrade improved the product for free. Then it moved from a consumer toy to business customers who stay.

2 grade-A facts · 5 that failed before it

White-label client portal, workflow builder and usage billing for agencies that resell AI voice and chat agents · United States

ChatDash

Evidence A

$19.9K MRR from 113 agencies

Team of 2 to 10 · 30 months after launch, revenue falling

Agencies that resell AI voice agents have the AI already; what they lack is a way to look like a company to thirty clients: a branded portal, usage billing and automations. ChatDash sells that layer and prices it per client slot, so it grows with the agency's client list. TrustMRR, reading the company's Stripe account, shows US$602,728 of revenue in total and US$19,893 of monthly recurring revenue from 113 subscriptions on 27 October 2026, about US$176 a subscription, after a fall of 60% from the best month in the table, November 2025.

4 grade-A facts · 5 that failed before it

AI appointment setter on WhatsApp and website chat · Germany, US company

Setter AI

Evidence A

$104K in 12 months

Team of 2 to 10 · 32 months after launch, revenue falling

It sold one promise that a customer can measure: a first reply to every new lead within 10 seconds, to businesses that already pay for many leads through Meta ads. A demo on the website brought sales calls through organic search before the product was built. Revenue then fell from US$9,000 to US$12,000 a month in late 2025 to under US$2,000 in September 2026, in the same months in which the founder launched other products.

7 grade-A facts · 5 that failed before it

Built with the same tools

Businesses whose sources name tools that Userdesk also uses: OpenAI API, Vercel, Amazon Web Services (AWS), Discord. Every tool has its own page in Tools.

Branching AI chat on a desktop canvas · USA

Slashspace

Evidence A

$131K total revenue

Solo founder · 25 months after launch, revenue falling

A normal chat window is one long thread, and a side question either breaks that thread or is never asked. The founder sold a fix for that one problem to heavy AI users. The subscription version earned little; the one-time licence that followed sold to many buyers, and Stripe data on TrustMRR shows US$131,070 in total. Sales then fell, because each one-time buyer pays only once.

7 grade-A facts · 4 that failed before it

AI-assisted writing and scheduling tool for X (Twitter) · France

Tweet Hunter

Evidence C

Sold for $2M plus earn-out

Team of 2 to 10 · sold 15 months after launch

Two founders shipped eleven products in about four months and kept the one that made money. They sold it on the platform it served, gave an audience owner a share of profits instead of a sponsorship fee, and used a language model to make writing faster, not to replace it. Fifteen months after launch, with about US$1 million a year in revenue, they sold to a larger French software company run by a former schoolmate.

Every number graded · 5 that failed before it

AI agents inside Slack and Microsoft Teams · USA · Funded

Runbear

Reported, not verified

$400K ARR reported

Team of 2 to 10 · 23 months after launch, revenue growing

The first version was an AI copilot for DevOps engineers, who could build their own agents. The founders moved the product to non-technical teams that answer the same questions all day, started every customer with one small use (repeated questions in Slack), and added a higher-priced plan when power users asked for more agents. The founder said in an interview of 17 October 2025, as quoted by SoFarBot, that this took the company from US$100,000 to US$400,000 in annual recurring revenue.

Every number graded · 4 that failed before it

Same pattern: Sold

Businesses that were sold. Each story gives the buyer and the price when the sources name them. All 36 stories with this pattern, 6 with grade-A revenue.

AI app builder · Israel

Base44

Evidence A

$80M exit

Solo founder · sold 5 months after launch

It launched in the month that AI models became good enough to write a whole app. It sold to people who cannot program, it charged from day one, and it was sold to a company that already had millions of customers.

7 grade-A facts · 5 that failed before it

AI makeup try-on app · Canada

GlowUp

Evidence A

Sold after $1.2M ARR

Solo founder · sold 5 months after launch

Its result is a before-and-after picture of the user's own face, which a short video shows in seconds. The founder chose TikTok as the channel before he built the app, then tripled revenue from almost the same installs by moving and testing the paywall with Adapty.

4 grade-A facts · 4 that failed before it

AI virtual staging of listing photos · USA, team mostly in Germany

Virtual Staging AI (VSAI)

Evidence A

$1M ARR, sold to Zillow

Team of 2 to 10 · sold 20 months after launch

In 2023, general image generators that were asked to furnish a room also changed the room: the founder said DALL-E might turn a window into a wall painting or add a door, which misrepresents a property. VSAI's own model finds the floor, the ceiling, the mirrors and the doors first and only then adds furniture. It cost US$12 to US$69 a month in early 2024, while VSAI's comparison page lists other staging services at US$16 to US$29 per photo with 12 to 48 hours of waiting. Zillow, the listing portal where such photos end up, bought it.

2 grade-A facts · 4 that failed before it

Sources

The grade next to each source is the best grade that the source can support. "Read in full" means that the text of the page was downloaded and the numbers were checked in it.

D Luca Restagno, DEV Community, 4 April 2024: I've sold my 4th SaaS as a solopreneur. The backstory
Read in full. The founder's own account, first published on his newsletter. Source for the MRR, the enterprise customer, the pre-sale, the channel and the sale process.
D No Code Exits, 31 July 2026: His SaaS Was Growing. He Sold It Anyway, Because He Was the Wrong Founder for It
Read in full. A newsletter retelling of the founder's account. Source for the March 2024 date and the name Acquire.com.
C Starter Story: How Luca Restagno Grew Userdesk SaaS to $1K MRR in 12 Months
Read the public part. A summary of the founder's statements. Source for the stack, the Discord community, the marketing channels and the undisclosed buyer and price.
C Userdesk pricing page, Internet Archive copy of 10 December 2023
Read in full. Source for the plans, limits, models and training sources before the sale.
C Userdesk home page, Internet Archive copy of 30 January 2024
Read in full. Source for what the product did before the sale.
C Userdesk home page, read 31 October 2026
Read in full. The site under the later owner; used only to show that the product is still online.
C Database of failed startups, local export
Local export. AI-written summaries, not independently verified. Source for the failed predecessors.