Offsetmyride.io – Carbon offsets made dead simple

Hacker News

Link: https://offsetmyride.io We're trying to make it dead simple to offset your carbon footprint, starting with your rideshares and eventually expanding into other integrations (airlines, electric grid, etc.). It's currently a soft launch, very much alpha at the moment. Everything is functional, but our onboarding could be better. Right now our only integration is with Uber/Lyft. We'd love to get feedback on a couple things! * What we're trying to figure out: Would a set-it-and-forget-it style service work for carbon offsets? * Do you find the information in the offset review page useful? * If you didn't know about offsets before, do you feel more informed? * Does a $5/month price point seem reasonable for handling offsets + calculations + a nice report sent to you?

Visit product View on Hacker NewsJan 20, 2017

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

63%63% 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.

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

55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

46%46% 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.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

40%40% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

19%19% 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.

Incorrect prediction on native model

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