NETTIFY

TrustMRR

NETTIFY is a full-stack website builder that lets small businesses launch complete, professional sites in minutes - no coding needed. Choose AI editor or edit manually, start from ready-made templates, and connect a custom domain seamlessly. Every site includes built-in analytics, plus integrated lead capture and booking from the first generation. Modern, well-documented codebase that's easy to take over and scale, with low running costs and minimal maintenance required.

Visit product View on TrustMRRJan 1, 2026No-Code Software stripe

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Actual performance

43customers

$1,829MRR/mo

Made the leaderboard

Traction signals

Domain Rating33

MRR growth 30d+64.6%

Launch Intel predictions

Analyze your own launch →

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

83%83% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: coding, code · Missing: mac, agents, macos

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

58%58% 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

30%30% 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

25%25% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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