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Unblock.Domains – Never get stuck on a domain blacklist again

Hacker News

Unblock.Domains – Never get stuck on a domain blacklist again

Hey makers! I'm excited to introduce my new project, https://unblock.domains I actually built this to solve one of my own problems after one of my domains got blacklisted for unknown reasons, and I was never notified about it. I didn't have monitoring at the time and wondered why none of my emails were reaching my customers! To that end, Unblock.Domains is designed to keep your domains off blacklists effortlessly. It monitors major blacklists around the clock and automatically requests whitelisting if your domains get blacklisted. Key features include: Automatic Monitoring and whitelisting: we not only monitor your domains for blacklisting, but also keep them off blacklists by submitting whitelisting requests on your behalf whenever this happens (if you're on a paid plan) Quick Setup: Get started in under a minute without any coding. Affordable Plans: Monitor multiple domains for free, then after that there are plans starting at $9/month. Would love to hear your feedback! Thank you, Ben (Founder of Unblock.Domains)

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Actual performance

6points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
78%78% 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: new, email, coding · Missing: mac, agents, macos
69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited · Missing: https docs, just released, exist
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid, introduce · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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