Et
Etch – Stable Diffusion Client for iOS
Hacker NewsEtch – Stable Diffusion Client for iOS
TestFlight download: https://testflight.apple.com/join/cnYqvCxF Requires a free DreamStudio API key from https://beta.dreamstudio.ai/ Supports txt2img, img2img, & inpainting (not affiliated with Stability AI)
Share cardActual performance
3points
1comments
Did not reach leaderboard
Launch Intel predictions
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Indie HackersIH features products with proven revenue · Strong signals: supports, ios · Missing: reddit linkedin, podcasting, created50%50% 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.
TrustMRRLess likely to generate early MRR · Strong signals: ios · Missing: mobile apps, personal, entrepreneurs50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: apple · Missing: mac, agents, macos19%19% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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