Pastport – Your iPhone Left an Airbnb

Hacker News

I got up and was switching between Airbnbs, already annoyed at the Airbnb app sending me back and forth to Safari and Google Maps. Safari even warned me: “You are leaving airbnb.com.” Later, I applied my agents to my Safari history. It showed how many times I edited a flight booking, when my iPhone left an Airbnb, and that I had requested wheelchair assistance. That last detail was easy to explain: I was recovering from a surfing injury. That became Pastport—not another chatbot for browser history, but a way to see the patterns Safari had quietly kept.

Visit product View on Hacker NewsJul 25, 2026

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3points

Did not reach leaderboard

Launch Intel predictions

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

82%82% 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 · Missing: supports, reddit linkedin, podcasting

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: google, way · Missing: mobile apps, ios, personal

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

48%48% 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

41%41% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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