IntelliCallAI

TrustMRR

IntelliCallAI is a AI voice calling SaaS, multi-tenant architecture, and 4 payment gateways built in. Outbound campaigns, inbound handling, lead qualification, appointment booking, call recordings, transcripts, multilingual agents, Knowledge base, webhooks, and admin-controlled subscription plans. Stack: Next.js, Node, MongoDB, Twilio + SIP, ElevenLabs, Deepgram, OpenRouter. 50+ CodeCanyon & Wixzel Store sales (~$2,500), zero marketing spend.

Visit product View on TrustMRRJan 23, 2026Artificial Intelligence Other B2B

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating4

MRR growth 30d-31.0%

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, recordings · Missing: mac, macos, cursor

77%77% 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 · Missing: supports, reddit linkedin, podcasting

75%75% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas, subscription · Missing: arr, mrr, revenue

35%35% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

22%22% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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