Seamless remote networking for developers

Hacker News

Hello HN, I see lots of developers spending time away from coding because they have to deal with complex VPN deployments to securely access their servers, or to connect two or more of their locations. I thought it would be great if someone could take that burden away from you, so you don't have to think about VPNs, firewalls, opening ports or risking having a wide-open server. It would actually be really great if you just had to spend less than 10 minutes to have a bunch of remotely located VMs sharing a local network, especially if the traffic between them was encrypted. This could potentially unlock new architectures where you could have the frontend, backend and DB servers located in different hosting providers - in a transparent way for your application. The main caveat is added latency, as this solution requires one extra hop; but by carefully placing my servers close to the users' resources this can be severely mitigated. I'm on my first iteration of the product, running on a bunch of servers on Digital Ocean, but as more users join and start using the system I'll be able to identify better your needs and adapt the service. The service is built on top of SoftEther, a well-known open source VPN software. The software hasn't been modified a single bit. I've just built a management system around it, provided servers with a very specific configuration and tried to make the user experience smoother. There's a free tier on shared (and tiny) servers so you can try how easy it is to make it work. No credit card needed and no time restrictions on the free tier. The link is https://wormhole.network

Visit product View on Hacker NewsJan 13, 2016

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

83%83% 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, new, single · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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.

TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% 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

10%10% 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

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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