Low-Cost 4K AI Avatar Generator

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A little project I've been working on a project for the past month that offers low-cost AI avatar generation. And what distinguishes it from other AI avatar generators is, you can create as many AI avatars as you want, after training it once. Price for just generation is $0.01 per image(4k upscaled as well). Instead of using costly third-party APIs for training, inference, and upscaling, I'm using Runpod, which offers the lowest costs possible. The only way to get lower costs is getting so much volume that I can afford multiple GPU servers full time. I somehow missed the boom in AI avatar generators over the last two months, and in this fast-moving field, it feels like you can become obsolete if someone else gets there even a week before you. I want to give credit to https://github.com/shinework/photoshot for the foundation and frontend styling. The MVP I had early this month had a working backend but frontend styling is just not something I'm good at

Visit product View on Hacker NewsJan 22, 2023

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

76%76% 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, using, apis · Missing: mac, agents, macos

64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

58%58% 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 · Strong signals: month, way · Missing: mobile apps, ios, personal

50%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, intuitive

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

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

25%25% 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.

Incorrect prediction on native model

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