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I Built Rungen.ai to Make AI Model Deployment Easier

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I Built Rungen.ai to Make AI Model Deployment Easier

Hello HN I’ve spent too many hours reading GPU providers docs, renting machines, setting them up, fixing dependencies just to get a single AI model online. So a few friends and I built RunGen.AI, a platform where you paste a link (Hugging Face or CivitAI), click create and you’ve got a live API endpoint in minutes. We’re still in beta, but here’s what’s working so far: * Bring your own model: No vendor lock-in. * Pay per GPU minute * Minimal setup: No infra to manage, no complex configs. Over the next few months, we’re adding private model deployments, autoscaling, GPU location preference (EU/US), and faster startup times. Would love to hear any feedback,what works, what doesn’t, and what you’d like to see next. Check it out at platform.rungen.ai, and feel free to reach us at hi [at] rungen [dot] ai.

Visit productView on Hacker NewsFeb 18, 2025
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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, model, single · Missing: agents, macos, agent
95%95% 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
90%90% 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
55%55% 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: month · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
30%30% 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
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
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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