Pr

Probably the Most Flexible Flight Ticket Search Engine

Hacker News

Probably the Most Flexible Flight Ticket Search Engine

I built this app specifically for flexible and budget travelers. Also a practice project to pick up Nextjs 14 + shadcn for UI. - Natural Language Search: You can search with phrases like “New York to Europe for a week in Aug”. - Flexibilities: Allows for search with date ranges and regions (e.g., South America, US West Coast, etc.). It also supports multi-city searches. - Tech Stack: Built with Next.js, shadcn for UI, Cloudflare Workers, and GPT. It's been a fun learning journey. I’d love to hear your thoughts. Thanks!

Share card

Actual performance

3points
9comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
77%77% 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: new · Missing: mac, agents, macos
74%74% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
55%55% predicted probability of success on AppSumo, 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
39%39% 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
36%36% 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
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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Tr
TripStreak – Flight search engine to show FF miles for every flight62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TripStreak – Flight search engine to show FF miles for every flight

Hacker News3
Pa
PanFlights: Flight search when you're flexible52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PanFlights: Flight search when you're flexible

Hacker News1
PanFlights
PanFlights55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Fully flexible flight search engine with unique routes

Indie Hackers1$200/moadvertising
BC Flights
BC Flights60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Regional flight search engine for British Columbia

Indie Hackerscommitment-side-project
AI
AISLER – Search Engine for electronic circuits53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AISLER – Search Engine for electronic circuits

Hacker News9
A
A reactive search engine45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A reactive search engine

Hacker News10
Vi
Vineyard - A search engine for Vine60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vineyard - A search engine for Vine

Hacker News3
Se
Sentiment Search Engine65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sentiment Search Engine

Hacker News12
We
We made a search engine60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

We made a search engine

Hacker News3
He
Healthforum – Drug Side Effect Search Engine51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Healthforum – Drug Side Effect Search Engine

Hacker News2