My
MySellerBot – A contact form that tries answering questions on its own
Hacker NewsMySellerBot – A contact form that tries answering questions on its own
Contact forms are slow for the customer and burdensome for support teams. MySellerBot is a smart contact form that uses AI to suggest answers. Solved queries get no tickets made/emails forwarded for them! Try our demo: https://mysellerbot.com/demopage?acc=VhTObzUMAYfCzqimWBlKZgMdUDrnIFnKolFeIQEL&intent=CkTJnsDuNV&img=https://static.toiimg.com/photo/64428999/Vivo-NEX.jpg
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: answers · Missing: mobile apps, ios, personal54%54% predicted probability of success on TrustMRR, 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, intuitive42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: email · Missing: mac, agents, macos28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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