Wy

Wylo – Connect with people over topics you love, faster and easier-Beta

Hacker News

Wylo – Connect with people over topics you love, faster and easier-Beta

Hey Guys, Wylo is a platform I and my team have been working on for the past few months. We released the beta version of the app recently and are looking for beta users who would try the app and share their feedback. Website/Download link: https://www.wyloapp.com About the app: Wylo is a networking and content sharing platform where you can explore topics you are interested in. It helps you connect with people sharing similar interests, discuss ideas you love talking about, and share your knowledge. You also can learn from experts, get one-click access to best content across the internet and collaborate with others for bigger things. Article on why we started Wylo: https://medium.com/@christiekwork/overcome-the-barriers-of-learning-and-networking-on-the-internet-653c9e614064 Thanks

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
59%59% 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
43%43% predicted probability of success on AppSumo, 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
40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: month, users · Missing: mobile apps, ios, personal
32%32% 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 · Strong signals: collaborate · 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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