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Crowd-sourced sustainability search for cafes, rests., & refilleries

Hacker News

Crowd-sourced sustainability search for cafes, rests., & refilleries

EcoRate is a sustainability search app that helps you find and evaluate cafes, restaurants, and refill stores based on how eco-friendly they are. What is "eco-friendly"? EcoRate focuses primarily on how much single-use waste is produced on-site in the way normal orders are fulfilled. For example, cafes that serve dine-in orders in reusable cups are rated higher than those that use single-use items. Their higher ratings also make them appear more prominently on the map. EcoRate also has filters you can apply to show which cafes use mugs, let you bring a thermos, etc. For zero waste stores you can even do an inventory search to more easily find the item you're looking for without all the superfluous packaging, though that's still in development. I recently added over 500 restaurants from the Surfrider Foundation's "Ocean Friendly Restaurants" program whose members participate in several rigorous sustainability initiatives. Earlier this month I also added the "Good To Go Cups" cupshare network to the map. The app is crowd-sourced, so you can help others find great low-waste venues by reviewing them yourself. The EcoRate website and mobile apps are free and ad free, so if sustainability matter to you, I hope you find it useful. The sustainability-ratings app space has had many entrants, and little to no successes, so feedback is immensely appreciated!

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, single · Missing: mac, agents, macos
74%74% 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
70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: lua, 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.
TrustMRRFits verified-revenue profile · Strong signals: mobile apps, apps, month · Missing: ios, personal, entrepreneurs
52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: friendly · Missing: plus, platform, intuitive
44%44% 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
15%15% 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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