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Pingfuse.com I made tool help you on Upwork carrer

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Pingfuse.com I made tool help you on Upwork carrer

Hey guys, After 3 months of development as side work, I'm excited to launch PingFuse - a tool that helps freelancers get instant notifications for perfect-match Upwork jobs. As a freelancer, I was tired of constantly refreshing job feeds and still missing out on great opportunities. The first few applicants often have a significant advantage, so I built PingFuse to solve this problem. The tool uses AI to match jobs to your skills and can send instant notifications via Telegram or Browser notifications. It also includes an AI proposal generator to help you respond quickly with tailored applications. I've made the core features available for free, with a Premium tier for those who need unlimited AI proposal generation. I'd love to get your feedback and hear your thoughts. If you're a freelancer or know someone who is, I'd appreciate you checking it out! [Website: https://pingfuse.com ]

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
82%82% 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.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, ide, io · Missing: https docs, just released, exist
38%38% 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 · Missing: mobile apps, ios, personal
31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
19%19% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit
11%11% 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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