Fulltrip - kickstarter for trips with friends

Hacker News

Hey folks! I love to travel, especially with friends but I've always hated how much effort it took to get them to commit at times. As I've gotten older I've realized this problem has gotten worse as people have jobs + busy lives. Thats why I built Fulltrip, a tool that simplifies, and speeds up the process of getting commitment for trips with friends. The fore features of Fulltrip are 1) A trip page that inspires FOMO Our trip page sells the trip by showing your friends all the beautiful + amazing things to do and see at your destination. It lets them invision themselves on the trip and gets them excited early. I'm planning on going deeper into this so happy to get ideas here :) 2) Easily collect deposits Nothing says commitment more than sending cold hard cash. Collect deposits from any payment type and we even support BNPL products like Klarna + Afterpay 3) Reduce cancellations In my experience one of the main reasons people cancel on a trip is that they wait too long to book flights and by the time they do it's insanely expensive. So Fulltrip comes with text reminders and alerts to notify friends about accommodations and flights from their location! Would love to hear what you all think and if you've already solved this problem, how you're doing it!

Visit product View on Hacker NewsMay 31, 2023

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Launch Intel predictions

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

85%85% 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

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: excited, ide, io · Missing: https docs, just released, exist

52%52% 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 · Strong signals: way · Missing: mobile apps, ios, personal

34%34% 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.

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

15%15% 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.

Incorrect prediction on native model

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