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Omnvert Network Toolkits Ping/MTR,DNS,Headers,TLS,RDAP,PCAFlowsP→JSON
Hacker NewsOmnvert Network Toolkits Ping/MTR,DNS,Headers,TLS,RDAP,PCAFlowsP→JSON
I built Omnvert as a fast, privacy-first toolbox for the checks I repeat during incidents and deployments: ping/MTR, DNS propagation (recursive vs authoritative), redirect chains + headers, TLS handshake details, RDAP/WHOIS, ASN/prefix, subnet math — plus a small PCAP toolkit to turn captures into scriptable output (JSON/NDJSON), top conversations, and flow exports.
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2points
Did not reach leaderboard
Launch Intel predictions
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AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue25%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, crypto23%23% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos21%21% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Correct prediction on native model
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