No code landing page I made for my startup idea with yep.so

Hacker News

I wanted to share a project I've been working on : Styrate, a social rating and review platform for products. I built a landing page for it using a no-code platform, which allowed me to create a professional and functional website without writing any code. As someone who is not very tech-savvy, I was able to easily build a landing page that looks and functions like it was built by a professional. This really showcases the power of no-code platforms, as they allow people with limited technical knowledge(me) to create websites, apps, and other digital products without having to learn how to code. If you guys know any other no-code websites or resources, feel free to chime in.

Visit product View on Hacker NewsFeb 5, 2023

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, using, 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.

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

63%63% 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: ide, 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.

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

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

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

26%26% 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

12%12% 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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