AI Virtual Influencer That Posts for You (Fully Automated)

Hacker News

I’ve been building this over the last six months — it’s an AI virtual influencer that posts content as your digital self, fully automated. You choose or create a custom avatar (with your voice, if you want), pick topics that matter to you, and it starts creating short-form content — script, voice, visuals, and captions — then posts it across your connected social media channels — so you stay active online with zero effort. It’s free to try. You’ll need to sign up, though, since custom avatars are tied to your account for privacy (so no one else can use them). It works on mobile (Flutter-based app), but for now I recommend using the desktop version — mobile’s still a bit glitchy. Would love your feedback on two things: 1. Is the UI/UX intuitive? 2. Do you see real value in this product — something you’d use or recommend? Thanks! Here’s the link: https://evatar.ai Happy to answer any questions.

Visit product View on Hacker NewsApr 30, 2025

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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: visual, using · Missing: mac, agents, macos

73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

40%40% 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

37%37% 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: active · Missing: arr, mrr, revenue

22%22% 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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