Organize Carpools with Co-Workers

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Here's something I've been working on to help employees find carpooling options with co-workers. With inflation & gas prices going up this seems like a really good thing to have going forward. Happy to have any feedback and I'll roll it back into the site. Thank you! https://workcarpools.com/ This is a repost after 10 weeks of working on the feedback from HN with code updates and a website redesign [1]. I submitted this before and there was very good feedback about target audience, need to show benefits, etc. Basically, I had a website that looked like it was designed by a programmer. I'd spent 95% of the work on the backend systems and 5% on the website. I've tried to majorly improve the website with screenshots and demos now. [1] https://news.ycombinator.com/item?id=32681635

Visit product View on Hacker NewsNov 21, 2022

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

89%89% 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.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

66%66% 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 HuntOn track for Day 1 leaderboard · Strong signals: new, code · Missing: mac, agents, macos

63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

51%51% 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

35%35% 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

11%11% 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

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

Incorrect prediction on native model

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