ThisTouristDoesNotExist (virtual tourists at real landmarks)

Hacker News

Inspired by thispersondoesnotexist.com, I built thistouristdoesnotexist.com, a lightweight weekend project that generates a new “synthetic tourist at a real landmark” on each refresh while keeping identity cues consistent across scenes, driven here by Gemini 2.5 Flash Image (aka Nano Banana). It runs on a tiny DigitalOcean droplet with a simple pipeline that pairs batches of synthetic faces with a curated landmark list and tries to avoid reusing the same face–place combo. I would love feedback on failure cases, hope you like it!

Visit product View on Hacker NewsAug 31, 2025

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Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: gemini · Missing: supports, reddit linkedin, podcasting

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: new, tiny, gemini · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, ide, pipe · Missing: https docs, excited, just released

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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