What Are You Working On?

Hacker News

Hey HN, I'm sure you've seen the monthly "Ask HN: What Are You Working On?" headlines on [Hacker News]( https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que... ). Honestly, it's my favorite topic because it's packed with insights about what other hackers are up to. I wondered what it would be like if instead of just a headline, there was a whole website where hackers could post daily updates, and where we could follow the hackers we're interested in for their latest updates. And so, this web site was born. I hope it gets used frequently so we can all benefit from it together. I look forward to hearing your thoughts. Let me know what you think!

Visit product View on Hacker NewsApr 21, 2024

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Actual performance

54points

31comments

Made the leaderboard

Launch Intel predictions

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

75%75% 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

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

54%54% 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, monthly · Missing: mobile apps, ios, personal

40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

38%38% 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

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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