Our weekend project, a month on

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Hi guys, A month ago we launched our site - http://getinspired365.com/ - to HN and got some great feedback. We've attempted to take this feedback and improve the site. It's taken us a month, and we'd love to hear your thoughts. Specifically we've addressed the following: A New Interface Tags - Every bit of inspiration now has multiple tags associated with it. That means, if you are inspired by a particular area, 'Perseverance' for example, you can flick through all the inspiration relating to that area. You can find the complete set of 'Tags' in the top right hand corner of the page. You can also view the tags relevant to that bit of inspiration at the bottom bar. Stumble - We appreciate someone may want to look through random bits of inspiration and not just be constrained to a daily view. Using the 'Stumble' feature allows you to look at different types of inspiration by just clicking the right arrow. Likes - Each daily dose now has a heart icon, if you like the inspiration then click the heart icon and it will save it as a page you have liked. Click 'likes' in the top right hand corner and you can cycle through all the inspiring things you have liked over time. Social - Located in the top bar, you are able to post your own inspiring items. Simply press social and submit a post. We'd love to hear your thoughts! Thanks Steve

Visit product View on Hacker NewsApr 4, 2013

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, using · Missing: mac, agents, macos

88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

70%70% predicted probability of success on Indie Hackers, 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

49%49% 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 · Strong signals: interface · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

14%14% 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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