Merrygram – Create funny, romantic or heartfelt sites for loved ones

Hacker News

As someone who used to live far from family and friends, I used to send a lot of e-cards for birthdays, mother's day, father's day and other special occasions. However, these can start to feel a bit impersonal and low-effort after several years. So I thought it'd be fun to craft funny little interactive sites for loved ones on special occasions. Initially, it was just a side project to get my hands dirty with React. However, it eventually grew into something more and is now a little novelty site builder to bring laughs or tears on special occasions! Would love to get some feedback on what you guys think! Especially for the homepage and pricing.

Visit product View on Hacker NewsJan 11, 2024

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

84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

77%77% predicted probability of success on Product Hunt, 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

48%48% 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 · Strong signals: builder · Missing: plus, platform, intuitive

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

18%18% 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.

Correct prediction on native model

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