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Compare Your Bills With Neighbors

Hacker News

Compare Your Bills With Neighbors

When I was moving last year, I asked around to determine the best TV and internet provider and I discovered that some of my friends were paying insane prices for comparatively less service. Obviously the company wasn't going to help my friends save...so I decided to make a web app that allows neighbors to compare their bills. Knowledge is power, my friends. This is my first release (and first MVP) so I do plan on making continuous updates. Comments and suggestions are highly encouraged! Funny part: I discovered that I was paying about $0.13 per kWH on my electric bull and my friend (same zipcode) is only paying $0.06...I just switched electric suppliers the other day. It was definitely satisfying to find out that my app at least helped me out.

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Actual performance

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Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting
75%75% 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: ide, io · Missing: https docs, excited, just released
57%57% 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: para · Missing: mobile apps, ios, personal
48%48% 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
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
20%20% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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