AI VisionBoard – create a personalized vision of your future in seconds

Hacker News

Hey HN! After spending 4 cozy years at Google, it was time to venture out and create a genAI product of my own :) Introducing AI VisionBoard: a mobile+web app that allows you to see your dreams come to life instantly ! Launching today on ProductHunt! How it works: 1. Upload your picture and optionally add a short description. 2. Type your dream - can be anything (e.g. dream job, vacation destination...) 3. See a bright, realistic image of you living your dream in just 3 seconds! Under the Hood: This magic is made possible by [TurboEnigma]( https://replicate.com/shefa/turbo-enigma ), our text-to-image AI model that outperforms current open-source models in both speed and image quality. Since its, TurboEnigma has already generated over 2 million images and has been adopted by a few startups. --- Ready to create your future vision? Try it out and let us know what you think! If you like AI VisionBoard, please consider upvoting our ProductHunt launch and sharing with your friends :) Your feedback and support mean a lot, Thank you!

Visit product View on Hacker NewsJun 30, 2024

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, google, models · Missing: mac, agents, macos

87%87% 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 · Missing: supports, reddit linkedin, podcasting

87%87% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, google · Missing: mobile apps, ios, entrepreneurs

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

32%32% 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

20%20% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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