Mimicpc.com – "Canva" for AI Apps

Hacker News

HI HN Everyone knows about Canva, the massive template, open-and-use online design tool.What is Canva for AI Apps. We just built MimicPC( https://www.mimicpc.com/?co-from=HN ), a tool that runs in the cloud, where everyone can focus on AI creation without deployment, and easily use all the pre-installed AI apps and plugins in your browser for productivity and fun. If it's just high-performance, low-cost GPUs and rich apps, you can probably find alternatives too.Is that all there is?That's not true. We're going to be the "Canva of AI Apps", where you can share your configured AI apps, plugins, and parameters directly with anyone, and they can apply them directly to their work, so that more and more people will be influenced by you to use AI apps directly without difficulty.I'll be bringing this capability this month, what do you guys think? Now I'd like to start a campaign where I'll add N new apps every week, suggest the ones you want, give me the address of the app, and I'll let you see and use them quickly.

Visit product View on Hacker NewsMay 15, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, new, open · Missing: mac, agents, macos

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRFits verified-revenue profile · Strong signals: apps, month, para · Missing: mobile apps, ios, personal

53%53% 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

39%39% 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

18%18% 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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