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Deskmate Live – AI Desktop Pet Companions

Hacker News

Deskmate Live – AI Desktop Pet Companions

We launched last week on 4chan and have been building fast ever since, integrating new features and new avatars. Our idea is to make desktop pets not only cute, but useful. They can serve as a language partner, help with homework or quickly help with whatever's happening on your screen. Plus, of course, they can just chat with you when you're a bit lonely or want to bounce ideas around as well. You can check out the website at: deskmatelive.com Or at the MS store: https://apps.microsoft.com/detail/9nptrhhn696k?hl=neutral&gl... People forget desktop mascots never really died. Shimeji's still going, the Android versions still pull a surprising number of users. The recent wave of interest with Codex Pets shows that people want this, but nobody had built a good one with real AI in it yet. So we're taking this to the next level with realtime AI. We're looking for a cofounder from Asia to build this with the team, if you believe in this idea send us hello: contact@deskmate.online discord.me/joindeskmate

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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: apps, user, codex · Missing: mac, agents, macos
78%78% 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
75%75% predicted probability of success on Indie Hackers, 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
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.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus, users · Missing: platform, 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, users · Missing: mobile apps, ios, personal
44%44% 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
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
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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