Databuddy Analytics, Inc.

TrustMRR

Databuddy is a privacy-first analytics platform with a focus on user experience, with it's foundation built on privacy, it ensures complete compliance with most major data privacy laws out of the box

Databuddy is a privacy-first analytics platform with a focus on user experience, with it's foundation built on privacy, it ensures complete compliance with most major data privacy laws out of the box without any additional tweaks, with no user identification methods onboard, it removes the burden of handling data deletion requests & the right to be forgotten from your end for the analytics side, cutting down on operational costs, time and effort No cookies, no fingerprinting, no cross-site track

Visit product View on TrustMRRJun 6, 2025Analytics Software B2B

Actual performance

32customers

$688MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating62

MRR growth 30d+2.1%

Launch Intel predictions

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

69%69% 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: user · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

53%53% 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

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.

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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

13%13% 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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