Pinggy – What are you doing?

Hacker News

When we released Pinggy a month ago, we just launched with a bare minimum to convey our product idea. Now, we are adding more features, with the highly requested features that meet our product vision. Comments: Today we are happy to introduce the comment feature, now you can comment on other users' statuses. All comments stay as long as the status lives. In other words, whenever a user updates his status, the comments made on the previous status get deleted. Avatars: Now you can attach your avatar (or display picture) to your profile. Dark mode: Are you a dark mode fan? Now Pinggy will be in dark mode if you have chosen dark mode for your mobile/computer. New home page: Not a feature. But we are happy and proud to update our home page to a modern design. https://ping.gy

Visit product View on Hacker NewsDec 12, 2022

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Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

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

76%76% 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, computer, new · Missing: mac, agents, macos

71%71% 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, 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.

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

34%34% 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

28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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