Actual performance
465upvotes
55comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agent · Missing: mac, agents, macos85%85% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto70%70% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive27%27% 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, podcasting24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released21%21% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Octopods51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Omnichannel customer support
Indie Hackerscommitment-full-timeRivane70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI-powered customer support for businesses. AI NATIVE ERP.
Indie Hackers1aiFeedBok30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Customer support and feedback without repetitive tickets
Indie Hackerscommitment-full-timeUseResponse63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Customer Support and Feedback Community Software
Indie Hackerscommitment-full-timeIn
Inboto – AI agent for email customer support26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Inboto – AI agent for email customer support
Hacker News2
Zupport AI46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pioneering SaaS Customer Support
Product Hunt+207Customer SuccessDreamdesk42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Slack-native customer support for startups
Indie Hackerscommitment-side-projectAI
AI Agents for Customer Support28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Agents for Customer Support
Hacker News1Forefront Support75%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Elastic customer support as a service
Indie Hackers2$150/moaiFa
FaangSupport – Easing Access to FAANG Customer Support52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FaangSupport – Easing Access to FAANG Customer Support
Hacker News8