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Wanderlog Chrome extension – see Southwest fares on Google Flights

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Wanderlog Chrome extension – see Southwest fares on Google Flights

I often fly out of Oakland, a big Southwest hub, and normally look for my flights on Google Flights. I got annoyed at the having to search Southwest separately from Google Flights, so built a Chrome extension to show the search results without having to open another tab. It works without any server-side scraping using background tabs and hidden iframes, so nothing about your search hits any servers other than Southwest’s. Can you help try it out and let me know if you run into any issues? It had a bunch when we launched it earlier this week, so if you run into any, please email me at extension-support@wanderlog.com!

Visit productView on Hacker NewsNov 11, 2022
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: google, email, using · Missing: mac, agents, macos
88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, para · Missing: mobile apps, ios, personal
47%47% predicted probability of success on TrustMRR, 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
43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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