Bo

Boeing Flight Detector

Hacker News

Boeing Flight Detector

Boeing's been making headlines for all the wrong reasons lately. Door plugs flying off mid-flight, crashes, investigations, whistleblowers... the list goes on. Yet when you're booking flights, airlines conveniently hide what aircraft you're actually flying on. So, I built a browser extension that spots Boeing aircraft on flight booking sites and slaps a big red warning on them. Now you'll see a bright red " BOEING DETECTED" label on every Boeing flight. Book it or skip it - your call. At least you'll know what you're getting into. extension link - https://chromewebstore.google.com/detail/boeing-flight-detec...

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Actual performance

4points
Did not reach leaderboard

Launch Intel predictions

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TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
46%46% predicted probability of success on Indie Hackers, 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
35%35% 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: google · Missing: mac, agents, macos
30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
21%21% 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

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