PanFlights: Flight search when you're flexible

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Are you planning to travel, but yet not fully committed on which date to depart, or even where to fly to? Or from? Do you fancy features such as price calendars handling regional searches, explore maps with traffic light-colored markers and instantly updating sliding filters? It may then be helpful to access a flexible flight search platform. Now at your fingertips. Coming from an assembly-coding teenage pioneer in the art of lossless data compression back in '87, and later on as a search engine architect. I've now dived into traveltech entrepreneurship. Hoping this will help you in your travels in life, one way or the other. Maybe you welcome the idea of stopping over somewhere on the way to your destination, if that makes your flight cheaper. If you're setting off on a tour via several states or cities your travel dates and city-order may not matter the slightest bit. Meaning, if for instance you're going from New York to California, with several weeks to spend, venturing here and there, perhaps experiment with this route optimizer: https://panflights.com/en/tour/?v2=2005_20230928_20231028_t:... If you're flexible and looking for a roundtrip ticket, you may benefit price-wise and experience-wise by returning from a different city than the one you'll arrive in. Or maybe you're planning a real life meetup with people living in different cities, wondering when and where a nicely reachable place can be found for the five of you, flights-wise. You may feel it's time to reduce your traveling climate footprint, looking for more efficient routing options involving flights with shorter airtime, fewer takeoffs and mixed with overland transport.

Visit product View on Hacker NewsSep 22, 2023

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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.

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

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, coding · Missing: mac, agents, macos

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: entrepreneurs, way · Missing: mobile apps, ios, personal

30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

11%11% 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 life · 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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