Nocodable Components

TrustMRR

Nocodable Components is a profitable, bootstrapped micro-SaaS that provides 450+ fully responsive, ready-to-use UI components for Bubble.io developers. Delivered via a Chrome extension, users simply browse, copy, and paste components directly into their Bubble apps. The product also lets users save and organize their own components into a personal library. Key metrics MRR: €1,900 (stable) 2026 YTD revenue: €7,520 (as of March) Active subscribers: 112 Total users: 5,000+ Bubble developers

Visit product View on TrustMRROct 5, 2023No-Code Apps B2B

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Actual performance

48customers

$914MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating39

MRR growth 30d-37.7%

Launch Intel predictions

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

78%78% 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

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, apps, users · Missing: mobile apps, ios, entrepreneurs

66%66% 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: mrr, revenue, profit · Missing: arr, margin, ttm

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

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

39%39% 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

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

Incorrect prediction on native model

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