My city makes me smoke 40 cigarettes per day

Hacker News

My city is dying and no one cares. I live in Delhi and it recently hit AQI 1000 - equivalent to smoking 40+ cigarettes daily. Yet people around me still believe you can "build immunity" to air pollution. Frustrated by this dangerous misconception, I built an open-source tool that translates abstract AQI numbers into metrics people viscerally understand: cigarettes you're unknowingly "smoking" and hours of life lost each day. Features: - Real-time conversion of AQI to cigarette equivalents - Daily life expectancy impact calculation - Location-based tracking Live demo: https://air.nmn.gl/ GitHub: https://github.com/namanyayg/air/ Looking for feedback to make the health impact even more compelling & additional metrics that could drive awareness

Visit product View on Hacker NewsNov 28, 2024

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Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released

61%61% 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: open · Missing: mac, agents, macos

54%54% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

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

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

23%23% 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.

Correct prediction on native model

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