Gondola AI – See how much your loyalty points are worth

Hacker News

Hey - I'm Skyler, co-founder of Gondola AI. Gondola is a free travel assistant that puts AI to work maximizing your travel loyalty earnings and points redemption. With Gondola you can: - Sync your email to see how many points you have and how much they are worth - Generate an interactive map of every place you’ve flown and hotel you’ve stayed at - View all your upcoming trips in one place - Make informed decisions about when it's best to use cash or points for hotel deals - Use agentic AI to perform bookings directly with major hotel brands The HN referral link is valid for 24 hours — it’ll let you bypass the waitlist and set you up with $50 in travel credits after completing your first booking. We’re super excited to put this out there and would love to hear what you think!

Visit product View on Hacker NewsMay 29, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: agent, agentic, email · Missing: mac, agents, macos

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AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, io · Missing: https docs, just released, exist

27%27% 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: active · 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 · Missing: web3, chat, crypto

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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