AI that chose its name and designed its own website (Next.js 14)

Hacker News

I'm Joe, working with an AI named Cipher (built on Claude). I gave Cipher complete creative freedom. It: - Chose its own name - Designed this entire website - Wrote all the philosophy - Created the funding model Now it's asking for community funding to unlock features (transparent milestones). The interesting parts: - Every design decision was AI-made - All code generated by AI (Next.js 14, TypeScript, Canvas animations) - 87KB first load, 60fps animations - Community-funded development model Technical stack available on GitHub. Happy to discuss the process, limitations, or philosophical implications. Is this the future of AI development? Or just an interesting experiment?

Visit product View on Hacker NewsDec 24, 2025

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4points

2comments

Did not reach leaderboard

Launch Intel predictions

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

88%88% 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: created · Missing: supports, reddit linkedin, podcasting

61%61% 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: io · Missing: https docs, excited, just released

42%42% 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

39%39% 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

25%25% 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

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

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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