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Minimundo Travel - Pinterest & Hipmunk-inspired travel planning

Hacker News

Minimundo Travel - Pinterest & Hipmunk-inspired travel planning

Minimundo Travel was born out of my own personal frustration with planning big trips. I always have a hard time keeping track of what things I want to do on a trip, as well as when/where I already have things scheduled during the trip. To scratch that itch, I built a tool to (1) collect things from around the internet that I might want to do on the trip and (2) help organize them in a visual way. Minimundo is the result. I'd love any feedback people have, especially anything regarding what does/doesn't make sense. I'd also love any suggestions for promoting the site. Thanks!

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Actual performance

6points
2comments
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: visual · Missing: mac, agents, macos
66%66% 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
61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
44%44% 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
43%43% predicted probability of success on AppSumo, 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
28%28% 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
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.

Correct prediction on native model

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