Domsy.io your design and prototyping copilot – free preview

Hacker News

Hey everyone. I am excited to share with yall something that I have been working on. As an engineer I have always struggled with creating beautiful UI's. I thought I could use LLM's to help me with this. The results in my testing are very promising. So I share with you https://domsy.io This is a very early preview. It is currently completely free to try. The latency can be pretty high right now, you're forewarned. Everything you see on domsy.io was bootstrapped and created using the domsy.io tool. Feel free to click "share" and post links to your experiments here!

Visit product View on Hacker NewsDec 20, 2023

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2points

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

72%72% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

69%69% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

13%13% 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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