GigVorx
Client intake & invoicing for freelancers
I built GigVorx because many freelancers and small agencies manage client requirements through WhatsApp chats, calls, voice notes, and scattered docs. This often causes missed details, messy onboarding, and manual invoic
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Launch Intel predictions
Analyze your own launch →54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
37%37% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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