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AI Avatar Image Generator Based on Other AI Images

Hacker News

AI Avatar Image Generator Based on Other AI Images

An AI Avatar image generator that creates images of you based on other AI created images. The popularity of the recent AI Avatar image generator apps sparked some interest of mine in the area. After playing around with a few AI Avatar image generators, some of which generate pictures of you based on pictures you upload and prompts you write, I thought, wouldn't it be much easier, instead of writing out prompts, to just select another image which you want your generated image to be based on. The image the user selects is actually another AI generated image, so we know the prompt used to generate it. So prompt writing is abstracted away from the user, and instead they can search for images and click on ones they like. Backend of the application currently uses Astria AI for the image model training and generation, and uses the Lexica API for getting lists of AI generated images and their prompts.

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
85%85% 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: model, apps, user · Missing: mac, agents, macos
55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: apps, way · Missing: mobile apps, ios, personal
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
37%37% 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 released
25%25% 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 · Strong signals: training · Missing: arr, mrr, revenue
19%19% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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