Enerscore – Find the energy costs of any home before you buy or rent it

Hacker News

http://www.enerscore.com/ Hi HN. Been a lurker for about a year now. After many fits and starts, I've finally launched an MVP of Enerscore. I made this tool because I couldn't find any information about home energy costs on Zillow, Redfin, etc, and it screwed me over when I moved into my new apartment and found out I had a $370/mo oil bill after I signed the lease. My story is just as simple. I'm a high school junior, and this time last year, I had the idea for Enerscore but I couldn't code. So I took it upon myself to learn what I could and get as much help as possible. Now I have some interest from a couple large real estate websites. If anyone is interested in working on this together, feel free to ask me any questions or shoot me an email: kenn@enerscore.com

Visit product View on Hacker NewsApr 12, 2015

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4points

7comments

Did not reach leaderboard

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

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% 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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, email, code · Missing: mac, agents, macos

27%27% 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

16%16% 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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