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Each one answers a question people are already searching for, and pays for itself. No funding, no paid marketing.
A search hit that became a B2B API, a photo tool that hands people on to a real DNA test, one product shipping on the web and in both app stores, and a tool suite that never uploads a file.
Upload one photo and the AI names your face shape, then what actually suits it: hairstyles, glasses, makeup. It is the one that grew first and grew biggest, and its advertising funds everything else here. The same model ships as a paid developer API that eyewear shops and salon booking tools call to recommend what fits each customer.
Upload a photo and the AI weighs your dog against 120 breeds, mixes included. A photo can only take a guess so far, so owners who want certainty are sent on to EasyDNA for a real test, localized to their country. That referral is the third way any of this earns, next to advertising and the API.
Reaction and memory games benchmarked by age, gender and gamer level, so every result comes with bragging rights. It started on the web and now also ships as Reflex, a native app on both the App Store and Google Play. One product, three platforms, the same tests everywhere.
Compress a folder of photos, convert a format, pull the text out of a screenshot, make a passport photo, restore an old picture. Every tool runs on the visitor's own device, so nothing is ever uploaded. That makes it genuinely private, and it means the cost of running it barely moves no matter how many people show up.
Face shape detection with styling advice
Age estimate from a selfie
Facial symmetry score from one photo
Facial proportions scored against the golden ratio
Eye shape detection with styling tips
Dog breed identification from a photo
Nose shape identification
Lip shape analysis with technique advice
The face shape analyzer, rebuilt for the German market
Foundation shade matching from a selfie
Your 12 season colour palette, from a selfie
Reflex and memory games with benchmarks
Real-time UV index and sun-safety forecasts
Color blindness screening test
Body type analysis from a full-body photo
See who wins a fantasy football trade
Measure your real mouse DPI in the browser
Check your mic level and hear your voice back
Find your aesthetic in 12 picture questions
Find your Venus sign from your birth date
Find your love language in 30 quick questions
25 reasoning puzzles and your IQ estimate, free
Your hair type, 1A to 4C, from one close-up photo
Which of 31 cat breeds your cat looks like, from one photo
Reads every symbol on a care tag from one photo
Makeup, skincare and style advice from a selfie
A full styling report built from your photos
20 private image tools, nothing gets uploaded
A product nobody can use is worth exactly zero. Better to launch something small and learn from real traffic than to polish in private. New products go from idea to live in hours, and improvements ship the same day.
Great products with no audience go nowhere. Each one is aimed at a search that already has demand, so it can be found from day one and compounds from there on its own. Nothing here has ever bought a click.
No product depends on a single income stream. Advertising carries the high-traffic tools, the API sells to ecommerce businesses, the apps open up the stores, and a referral deal covers what a photo alone cannot answer.
Every site is measured every week, and the numbers decide what gets worked on next. Changes that lift rankings stay, changes that don't are reverted, and sites that stall are retired. Nothing gets attention because I happen to like it.
Most AI work starts with a capability and goes hunting for a use. I go the other way: start where the demand already is, and build the shortest honest answer to it.
1000 Ventures is where I own the whole thing, from the model to the pricing. Design, engineering, growth and the business model stop being separate departments when there is only one person.
The two feed each other. The day job keeps me close to what production AI costs to run; the studio keeps me close to what people will actually use.
Michael Machatschek
AI Engineer
