Launch Intel
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I made LLM alerts for Upwork

Hacker News

I made LLM alerts for Upwork

I honestly hate freelancing because it often feels unclear and stressful when starting new jobs, especially when employers aren’t sure what they want. For the past few years, I’ve focused on specific projects like mobile chat apps using Flutter. With my existing codebase and experience, these jobs are easier and less stressful. I usually sell my codebase and move on. However, finding these types of jobs is challenging. I tried many Upwork alert apps, but they either don’t work well or have over 95% false positives. That’s why I created UpHunt. With UpHunt, you can create multiple profiles, and AI will match your profiles with Upwork jobs. You’ll receive instant notifications and can be the first to apply. It's still a completely free project. I just need to hear your thoughts and feedback!

Visit productView on Hacker NewsDec 16, 2024
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Actual performance

1points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: apps, new, using · Missing: mac, agents, macos
84%84% 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: created · Missing: supports, reddit linkedin, podcasting
63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released
60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal
58%58% 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
32%32% 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
21%21% 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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