InspectProHQ: Product, team and how it was built

Team of 2 to 10 · 8 months after launch, revenue growing

It serves one profession with one narrow need: a client-ready picture of a design that is already modeled, without a GPU workstation or a rendering agency. Its payment processor says that the conversion rate doubled when the company changed to a checkout that worked for buyers outside India, and that paying customers came from more than 150 countries. Prices were cut from US$49 for 100 renders in August 2025 to US$9 to US$19 for a starter pack.

Solo founder · 37 months after launch, revenue flat

For two years it was a powerful node editor that architects did not want, and it made about US$150 a month. The founder replaced it with a chat box where you say what you want, and changed one-time payments to subscriptions. Stripe revenue then grew 5.3 times from November 2025 to March 2026. His salary paid for the slow years.

Solo founder · 11 months after launch, revenue falling

The founder runs an architectural visualization studio, so he built modules for the jobs that studio clients pay for, not one general image generator. Each module keeps the geometry of the building and chooses a model for its task, and plugins bring the tool inside the design software that architects already use.

Team of 2 to 10 · 13 months after launch, revenue falling

A redesign picture of one's own room used to need an interior designer or hours of 3D software. Image-editing models offered as hosted services now make one in seconds, so a single developer could wrap such a model in a simple app and sell it as a subscription. The RevenueCat account that TrustMRR reads shows US$63,524 in the twelve months to 25 October 2026, with a best month in April 2026 and a steady fall since.

Team of 2 to 10 · 42 months after launch, revenue falling

The founders already had a paying mood board tool for interior design when image models became usable in 2023. They added AI mood board generation in April 2023 and AI room redesign later, and by May 2024 they ran it on an exact-match domain, myroomdesigner.ai. Revenue read from Stripe was US$39,262 in the last 12 months to 25 October 2026, but it is falling: September 2026 was 67% below November 2025.

Team of 2 to 10 · 14 months after launch, revenue falling

It picked one narrow market, Florida brokerages and condominium associations, where the work is reading long documents and keeping dates, and built the forms and deadlines of that market into the product. The money comes from very few customers: TrustMRR shows one active subscription at US$895 a month, plus four larger payments from January to April 2026 that make up almost half of all revenue.

Solo founder · 16 months after launch, revenue flat

It reached the App Store early, in July 2023, with the simplest form of the idea: press one button, get a transcript and a summary. The founder paid for Meta ads while they still worked for a new kind of app, tested paywalls constantly and moved buyers to annual plans. He works alone with AI coding tools, so in his own 2026 account about US$3 million of about US$7 million a year stays as profit.

Team of 2 to 10 · 29 months after launch, revenue flat

The first apps that combined OpenAI's Whisper and ChatGPT for voice notes appeared in 2023, and the founder found them "not implemented well enough". His team built a simpler one, collected early users and feature requests through lifetime deals on AppSumo in 2024, and in 2025 grew with advertising and paywall tests measured in Adapty's subscription data.

Team of 2 to 10 · 8 months after launch, revenue growing

It entered a crowded category in March 2025 with paid advertising instead of a personal audience, and it treated the economics of each ad channel as the product to optimize. Cheaper attribution let it test low-cost traffic, and weekly advances on App Store payouts let it put each week's earnings back into ads within days instead of 45. Adapty, the company whose software runs the app's subscriptions, published the figures under its own name.

Team of 2 to 10 · 45 months after launch, revenue falling

Said US$19K a monthRecords US$9.6K in JulyDid not hold

It appeared in January 2023 inside Google Slides, a program where people already work, when writing slides from one sentence was new, and users showed it to each other without paid advertising. A blog about presentation topics then brought about 80% of new users from Google search, by the founder's account. Both channels weakened: search traffic fell, and Google added the same function to Slides. The verified total is real, and so is the fall: monthly revenue fell by half between February and July 2026.

Team of 2 to 10 · 21 months after launch

One founder had worked as a corporate lawyer and the team sold directly to law firms and banks that it already knew. The product was built on Indian court material, which global tools cover less well. Customers made it part of daily work: when the platform went down for maintenance, users called and messaged the team to ask when it would return.

Solo founder · 7 months after launch

Bookkeepers still receive many bank statements as PDF files and type the transactions into accounting software by hand. The founder is a QuickBooks consultant who had this problem himself. The product does one specific job, metered by the page, and has a separate plan for bookkeeping firms that is counted by client.

Started small, grew without outside funding · 29 months after launch, revenue growing

The founders came from digital marketing agencies, and their first customers were people from the CEO's former agency team, who now work in the marketing departments of large Turkish companies. In 2026 the company rebuilt its dashboard product around the Model Context Protocol, so that general AI assistants can work on live ad data, and opened it to everyone with a free plan.

Team of 2 to 10 · 6 months after launch

The founders worked as dispatchers at home-service companies before they built it, and they say dispatch decides how much a shop earns but runs on gut feeling. The software assigns jobs by skill, location, availability and close rate instead of by who is free.