I replaced 47 GCs, 12 spreadsheets, and 5 apps with 1 tool

Hacker News

Hey HN This app will finally get your trips out of the group chat. I built PlanAway because planning group trips with friends always turned into: 200 unread messages arguing about dates A spreadsheet nobody updates Ten different apps for flights, stays, and activities PlanAway puts everything in one place: - Create a trip with friends - Add reservations, expenses, and itineraries - Collaborate in real time (no more lost notes) - Get AI suggestions for activities and food It’s live now as a web app. You can mess around with it WITHOUT creating an account! Still early, but usable — and I’d love any and all feedback. I’d love your feedback on: - The #1 group-trip pain point you’d want this to fix - What would make you actually switch from chats/spreadsheets - Any “killer feature” you think is missing Anything feel clunky or confusing? Note: Mobile has some UI issues which are being addressed. Data pipelines for flights/lodging is in works to fix the manual part atm Thanks for checking it out

Visit product View on Hacker NewsSep 19, 2025

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, using, notes · Missing: mac, agents, macos

89%89% 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

61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

18%18% 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, real time, collaborate · Missing: web3, crypto, cryptocurrency

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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