New and Cleaner Tailwind Components on Wickedblocks ( is free , 100% )

Hacker News

Finally, I have been taking care of all the issues I had on http://wickedblocks.dev and we have new and nicer components. This has been updated: - Pricing - Forms - Navigation - Footers Now, all you copy is the right code. Then the Gallery and the grids are gone for good, it redundant to have it when is all around. I had in mind to make the navbars with Alpine.js but not everyone uses it ( yet ) so its going to be like this. The new components are from a paid collection that I was building.... But because I have not worked on it for long, so now I put them up, instead to simply have them there doing nothing. Have a great day

Visit product View on Hacker NewsMay 18, 2021

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

67%67% 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.

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

60%60% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% 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

37%37% 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

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · 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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