Dodo – open-source PaaS solution

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Hey everyone, I want to share my open-source project I've been actively working on for the past half year. It is a PaaS solution and can help you both during development process and in running your applications in production. It is fully self-hostable and comes with bootstrapping tools, which takes IP addresses of your Linux servers and installs its own fault-tolerant cluster on top of them. I just recorded a screencast demonstrating its capabilities such as: cloud based dev environment, provisioning relational databases and securing applications with dodo authentication services. It also comes with built-in mesh VPN solution, is opinionated about authentication and implements group based membership service. dodo provides high level and easy to use primitives, and I tried really hard not to leak low level infrastructure details. I think I achieved that. If you watch the video, the only place where you can get some idea of what internal details look like is when you see the word Ingress, but hey it is a general term :) You can think of dodo as glue tying lots of already existing open-source solutions and having relatively strong opinions about it. I'll be active here to answer your questions, but you can also reach me via email at giolekva [at] gmail [dot] com or on Matrix at @gio:v1.dodo.cloud

Visit product View on Hacker NewsOct 23, 2024

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

87%87% 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: email, open · Missing: mac, agents, macos

79%79% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

79%79% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive

57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue

12%12% 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.

Correct prediction on native model

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