Casedaisy

TrustMRR

Casedaisy is a scheduling platform for mobile professionals — therapists, social workers, real estate agents, and vets who drive to clients. It optimizes routes, writes visit notes from bullet points in 10 seconds, and delivers a morning briefing predicting cancellations. Six verticals, each with purpose-built tools no competitor has. 36+ customizable features. 32 landing pages across 4 countries. Profitable from subscriber one at 87% margins. Free access keys available to interested parties.

Visit product View on TrustMRRMar 10, 2026SaaS Software stripe

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating11

Launch Intel predictions

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

58%58% 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 · Missing: plus, intuitive, reviews

56%56% 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

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: agents, agent, notes · Missing: mac, macos, cursor

42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: profit, profitable, margin · Missing: arr, mrr, revenue

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

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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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