I Made a Website That Turns Sketches into Thumbnails

Hacker News

Hi friends, I made Scrive, a website where you can draw your thumbnail idea on a whiteboard and have AI turn it into a polished thumbnail. I got this idea when ChatGPT-4o's image generation came out. People were sketching thumbnails on paper and feeding them into ChatGPT to create visuals. I thought, "Why not make this process easier?" So, I built Scrive. Just sketch your idea on the website's whiteboard, and the AI will handle the rest. It's still early, and I'd love to hear your thoughts. Any feedback or suggestions are welcome! Thanks for checking it out!

Visit product View on Hacker NewsApr 27, 2025

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Actual performance

3points

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Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: visual, chatgpt · Missing: mac, agents, macos

80%80% 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

70%70% predicted probability of success on Indie Hackers, 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

46%46% 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

40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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