TripGeeks – a website to find, create, and share travel itineraries

Hacker News

Hello, I made this app to simplify traveling. I envisioned a platform where you can just pick a trip and go just like you might pick a Netflix movie and watch. As someone who’d love to travel more at some point, I thought it’d be great to have a place where I can access all the information I’d need to just take a trip. It’s a community based platform so trips would be created, shared, and rated by the community. Would love to hear your feedback and suggestions. Thank you.

Visit product View on Hacker NewsDec 22, 2023

Share card

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

75%75% 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.

AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews

58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

56%56% 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: 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.

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

21%21% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

10%10% 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

Similar products

About2cruise35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cruise Travel Website

Indie Hackers

Journeyfoxx – a Q&A website to share travel experiences50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Journeyfoxx – a Q&A website to share travel experiences

Hacker News1

Share Cursors on Your Website53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Share Cursors on Your Website

Hacker News4

Share this Website53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Share this Website

Hacker News3

Find everything you need when you travel on one website – SnapAbroad43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find everything you need when you travel on one website – SnapAbroad

Hacker News1

Travelogue56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Create your travel diary and share it with your friends!

Indie Hackers2outdoors

TrAvy – for Travel Itineraries46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TrAvy – for Travel Itineraries

Hacker News1

Takeabed – The Uber of Travel63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Takeabed – The Uber of Travel

Hacker News2

Humbo – The IMDB of Travel46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Humbo – The IMDB of Travel

Hacker News21

GlobeDrop – Travel Meaningfully46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GlobeDrop – Travel Meaningfully

Hacker News3

Browse all products Analyze your launch