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Web-Based trending tool for manufacturing facilities

Hacker News

Web-Based trending tool for manufacturing facilities

http://www.preciseintegration.com/trend I have built things similar to this for a couple of clients in the past and had interest from a thrown-together demo on our site. I took some time and built it into an MVP and am looking for people in the manufacturing world to beta test so I can prioritize what needs to be added to make it useful and find any bugs. Any thoughts on the landing page or how best to get this information out to the people who could be customers would be greatly appreciated.

Visit product View on Hacker NewsAug 14, 2013

Actual performance

1points

1comments

Did not reach leaderboard

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AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

70%70% predicted probability of success on AppSumo, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

48%48% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

46%46% 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

39%39% 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

34%34% 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

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

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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