Some stats, how are we doing?

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We launched our site - GetInspired365.com exactly 10 weeks ago. In that time we've had 36,000 users, of which 30,000 have been unique. We've also just broken 100,000 page views and the average duration on the site is just shy of 2 minutes. We started very slowly and in our first 6 weeks only had 130 users registered (email addresses given to us to receive daily doses of inspiration) and averaged around ~ 100 users a day coming to the site. But now, we are averaging around ~ 1000 users a day coming to the site and have just broken the 500 mark for number of users registered on to our system. We've made no money thus far (we plan on exploring ways of making money once we have an active user base) and have spent $100 on advertising. We wondered how these stats compare to other sites who are in their early stage. If interested we can put a blog post together to explain exactly where our traffic comes from and how we've grown the site thus far - as we've learnt an awful lot in our 10 weeks thus far. Finally, if you have any ideas on how we can improve the site further then we'd welcome suggestions. Thanks!

Visit product View on Hacker NewsApr 24, 2013

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Actual performance

6points

3comments

Did not reach leaderboard

Launch Intel predictions

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

87%87% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: user, email, plain · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

61%61% 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: users, way · Missing: mobile apps, ios, personal

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

22%22% 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.

Incorrect prediction on native model

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