Pineqone – A simple way to research and plan a trip

Hacker News

Hi HN, I've been working on this travel planning platform for quite some time now, and I finally launched it 2 months ago. The motivation for this is that I love travelling, but I always have to go through multiple websites to get all the information I need. I get fed up with all the useless information that is posted on blogs, etc. So I decided to create a website which has everything one needs to plan a trip. I also created a Planner tool which lets users organize every step of their trips as easy as possible. The goal of the project is to help people research and plan their trips as easily as possible. I know this isn't the typical B2B SaaS that's usually posted here, but would love to get your thoughts!

Visit product View on Hacker NewsMar 27, 2024

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · 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 · Strong signals: user · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: month, users, way · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews

47%47% predicted probability of success on AppSumo, 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

34%34% 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 · Strong signals: saas · 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

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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