AnyImageDetector
Check whether an image is likely AI-generated in seconds.
What is AnyImageDetector?
AnyImageDetector is a browser-based AI image detector for people and teams that need a quick, explainable estimate of whether an image is likely AI-generated. Upload an image file or paste a public image URL and the tool returns an AI-likelihood score, a plain-language verdict, confidence information, and supporting signals in seconds.
It is useful for journalists doing an initial verification pass, marketplace teams reviewing suspicious listings, moderators triaging visual content, educators discussing synthetic media, and developers building image-review workflows. A documented API is available for programmatic checks and can be tested through public API marketplaces.
The product is transparent about uncertainty. Results are probabilistic and should not be treated as proof or used alone for legal, employment, academic-integrity, or other high-stakes decisions. The site includes methodology, accuracy limitations, documentation, and practical guides so users can interpret the result responsibly.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
Reddit has pretty much kickstarted their ad network this year so they spent a lot more time on it particularly app install campaigns so they've grown quite a bit they became srn in terms of doing attribution. They have a large user base so it's definitely one of those networks that are up and coming and something that should be considered for subscription apps.
Reddit Is the Emerging Arbitrage Channel for Subscription App UA in 2025
Reddit became a proper self-reporting network for app installs in 2024-2025 and is actively building out its ad measurement capabilities. Because most subscription app UA budgets aren't there yet, the CPIs are attractively low relative to the intent level of users searching relevant subreddits. Shane flags it as the clearest under-exploited opportunity for apps willing to test beyond the Meta/Google/TikTok trifecta.
I repeat myself all the time and then if I repeat myself 10 times like you know don't repeat yourself as the Mantra then I write a function but I don't people like people try immediately write a function for something you repeat twice it's like man just tweet repeat it TW you know like this kind of stuff
Don't extract functions on the second repeat — let it repeat 10 times first
Standard DRY advice tells you to extract a function the second time you repeat code. For a solo indie hacker pre-PMF, that's premature optimization. Pieter's rule: let it repeat 10 times before you build the abstraction. By repetition 10, you know what the shape of the abstraction actually needs to be. Earlier than that, your function design will be wrong and you'll refactor it twice anyway. Validate the pattern first, abstract once.
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