DomainBFF

DomainBFF

TrustMRR

Domain Name Research Tools and Education for domain name investors and enthusiasts of any level. Search TLD counts of 350M+ domains, monitor trends, domain sales history, generate domains using AI wit

Domain Name Research Tools and Education for domain name investors and enthusiasts of any level. Search TLD counts of 350M+ domains, monitor trends, domain sales history, generate domains using AI with instant availability checks, use the leads tool to verify demand of domain names or sell your domain names. Use Domain University to learn basics to advanced domain name strategies.

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Actual performance

18customers
$972MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating3
MRR growth 30d-83.1%

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
81%81% 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.
TrustMRRFits verified-revenue profile · Strong signals: education · Missing: mobile apps, ios, personal
58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% 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
33%33% 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
11%11% 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
10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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