Gonatego – a vibe-coded charity site for my son

Hacker News

What this is A small site + shop for a pediatric brain-tumor fundraiser, built via "vibe coding": describing the feel and constraints in natural language and letting AI generate/reshape code, styles, copy, and assets until it matched the intent. Live and usable; no account required to browse or check out. Backstory In June 2025, our 8-week-old son was diagnosed with a rare brain tumor. We built a working site to coordinate a run/walk team and sell a few items to raise funds. Try it You can read the story, browse merch, and step through checkout without signups. If you want to test the full path, standard card checkout works.

Visit product View on Hacker NewsAug 21, 2025

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

86%86% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

33%33% 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

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

29%29% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

19%19% 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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