Si

Simulacra and Simulation” Photography Project

Hacker News

Simulacra and Simulation” Photography Project

Simulacra and Simulation is a conceptual photography project that is meant to explore what constitutes reality in an image. First, I ask ChatGPT to create a detailed description of a famous photograph. Second, I provide that description to Midjourney, which creates a flawed, but usually recognizable interpretation of the original photograph. Third, I capture my computer screen, where the Midjourney image is visible, with a medium format film camera. Fourth, I hand develop and print the resulting image, which is now very much a real photograph of a facsimile of a real photograph.

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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
74%74% 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: computer, chatgpt · Missing: mac, agents, macos
61%61% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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