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DevOps made easier for startups

Hacker News

DevOps made easier for startups

Hey HN! I’ve been working on Obelis AI — it’s like having a DevOps engineer on your team, powered by AI agents (real ones, not just a fancy LLM wrapper). The idea came from seeing how early-stage teams often push off infra decisions until it’s too late. Migrations are always an option, but they get painful fast as things scale. Platforms like Vercel and Firebase are great to get going, but they tend to get expensive, and you don’t really own the infra. We try to give you the same simplicity — but everything runs on your own cloud (AWS for the timebeing), with full control. We're in beta now — would love feedback, questions, or any brutally honest thoughts. Appreciate it!

Visit productView on Hacker NewsJun 27, 2025
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Actual performance

3points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent · Missing: mac, macos, cursor
96%96% 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 · Missing: supports, reddit linkedin, podcasting
78%78% 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
50%50% 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 · Missing: plus, intuitive, reviews
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
26%26% 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
18%18% 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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