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I built a selfhosted Wanderlog alternative with real-time collaboration

Hacker News

I built a selfhosted Wanderlog alternative with real-time collaboration

I built this because I never really liked the existing travel planners. Most of them are closed or just don’t work that well when you’re planning a trip together with other people. So I started building my own tool, mainly for myself at first. It’s a self-hosted travel planner where you can organize trips collaboratively in real time. You can drag and drop places into days, keep track of budgets, manage bookings, and create packing lists. The real-time collaboration part was probably the trickiest thing to get right. Keeping everything in sync without it becoming overly complicated took a few iterations. It’s still not perfect and there are definitely areas that need improvement, especially around search and some UX details. If you’re into travel planning or self-hosting tools, I’d be interested to hear what you think or what you’re missing in tools like this.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
86%86% 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
59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released
54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: real time · 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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