ChatDash, LLC

TrustMRR

ChatDash is a white-labeled AI assistant dashboard solution tailor-made for agencies, enabling them to provide clients with a customizable, brandable interface for managing their own Knowledge Bases.

ChatDash is a white-labeled AI assistant dashboard solution tailor-made for agencies, enabling them to provide clients with a customizable, brandable interface for managing their own Knowledge Bases. This platform enhances the value agencies offer by saving them time on Knowledge Base maintenance and allowing for higher ticket pricing for their AI chatbot services. With plans catering to various agency sizes, from small startups to established firms, ChatDash combines full Voiceflow and OpenAI A

Visit product View on TrustMRRApr 1, 2024Artificial Intelligence Software B2B

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Actual performance

185customers

$33,722MRR/mo

Made the leaderboard

Traction signals

Domain Rating35

MRR growth 30d-12.1%

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

73%73% 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.

AppSumoStrong fit for a featured deal · Strong signals: platform, interface · Missing: plus, intuitive, reviews

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, 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: openai, open · Missing: mac, agents, macos

45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

19%19% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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