DD

DDNS-go – netlink/iphlp/asuswrt –> A/AAAA/HTTPS RRs

Hacker News

DDNS-go – netlink/iphlp/asuswrt –> A/AAAA/HTTPS RRs

Fed up with my previous crappy DDNS PowerShell script [0] that consumes over 200MB of RAM (and a lot of CPU time!), I decided it was time to take DDNS seriously. So I wrote ddns-go to be an efficient DDNS service. The latest release uses Netlink on Linux and the IP Helper API on Windows to monitor network interface addresses in the most efficient way possible. Instead of querying third-party IP address services (which it also supports), ddns-go can log in to your ASUS router and get the WAN IPv4 directly. Want browsers to connect to your basement website directly using HTTP/3? ddns-go has support for HTTPS records [1]. [0] https://github.com/database64128/ddns-cloudflare-powershell [1] https://www.rfc-editor.org/rfc/rfc9460

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
71%71% 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, 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.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface, efficient · Missing: plus, platform, intuitive
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: using · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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