Enfold

TrustMRR

Enfold is a calm, free baby care app built by a developer and a neonatologist, both parents. Log feeds, sleep and diapers in two taps at 3am, see how long baby has been awake, share care with a partner, and read short "is this normal?" cards with sources on every card. No ads, no trackers, no subscriptions, offline first. The whole thing is open source under AGPL-3.0. Money here is optional tips on enfold.baby/support that unlock nothing in the app.

Visit product View on TrustMRRSep 8, 2026Health & Fitness Software stripe

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating8

Launch Intel predictions

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

59%59% 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.

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

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

36%36% 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: open · Missing: mac, agents, macos

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

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

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

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

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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