Hi

Hire.Bid: Improved Version

Hacker News

Hire.Bid: Improved Version

We got blasted last week on here for our Show HN. In response, we've made some improvements. (The feedback, while brutally honest, was helpful). Let us know what you think. There is still work to be done, but hopefully it is slightly better. https://hire.bid (and, for some reason, our post last week got flagged, which was kinda crappy, but oh well, the benefit of the post far outweighed the bad).

Visit product View on Hacker NewsAug 5, 2017

Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

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

44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

39%39% 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

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

27%27% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

17%17% 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.

Correct prediction on native model

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