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Zero-trust server access without SSH keys, VPNs, or firewalls

Hacker News

Zero-trust server access without SSH keys, VPNs, or firewalls

Hi HN, My team have spent years as developers and operators, and we’ve been incredibly frustrated by a common, nagging problem: secure server access. We’ve all been there—the endless authorized_keys file management, the VPN configs that break at the worst possible time, or the constant fear that someone who left the team still has access to production. It’s an exhausting and friction-filled process that takes away from what we should actually be doing. We looked for a better way, but every solution we found was either too complex, too expensive, or still relied on the same outdated methods. So, we decided to build our own. That's how Alpacon was born. We designed Alpacon from the ground up to solve these pain points. It's a zero-trust platform that completely removes the need for SSH keys and VPNs. Our goal was to create a tool that is not only secure by default but also so simple that it gets out of your way. Here’s how it works: Instant Onboarding: Add a new team member and grant them secure, role-based access in seconds. No more key management. Auditable Access: Every action is logged and auditable. You always know who is accessing what, and when. Granular Control: Instead of broad firewall rules, you can define precise, least-privilege access policies for every user and resource. We’re now opening our beta program to a small group of users. This isn't just about launching a product; it’s about starting a conversation and getting feedback from people who live and breathe this problem every day. Your insights will be invaluable in helping us shape Alpacon into the tool we all wish we had. We’re genuinely excited to see how you use it and what you think.

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Actual performance

3points
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, open · Missing: mac, agents, macos
90%90% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: vpn · Missing: supports, reddit linkedin, podcasting
88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: excited, lua, ide · Missing: https docs, just released, exist
60%60% 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 · Strong signals: platform, users · Missing: plus, intuitive, reviews
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal
35%35% 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 · 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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