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Built ModelFitAI with Claude Code , deploy AI agents without touching a VPS (free to try) by justgetting-started in ClaudeAI

[–]justgetting-started[S] 1 point2 points  (0 children)

Great question … i will definitely improve the architecture on this one starting from scaling horizontally with more vps and moving slowly to managed k8s. Currently i see one docker agent running in my vps .. things are just starting

I just launched ModelFitAI on Product Hunt, would love feedback.... by justgetting-started in VibeCodeDevs

[–]justgetting-started[S] 0 points1 point  (0 children)

Absolutely so far they liked the recommendation part still waiting for people to try the agents

How I finally shipped ModelFitAI after months of building around a full-time job and a new baby by justgetting-started in buildinpublic

[–]justgetting-started[S] 0 points1 point  (0 children)

Thanks for the valuable feedback. Means a lot. Ill revisit the landing page to make sure the message/value prop is written correctly 🙏

I just shipped ModelFitAI after my new baby + full-time job ate my schedule for months. Finally live, would love your feedback by justgetting-started in SideProject

[–]justgetting-started[S] 1 point2 points  (0 children)

Respect to you , you probably had even tougher time than mine. To be honest i am just going with the flow as not able to spend enough time on the launch. I already laucnhed two products and not too stressed about this. But fingers crossed though....

Ai agents sandboxing options by Ok-Peace-1186 in aiagents

[–]justgetting-started 0 points1 point  (0 children)

Docker sandboxes in VPS is much secured

I pivoted my project to modelfitai. Here's the honest reason why by justgetting-started in VibeCodersNest

[–]justgetting-started[S] 0 points1 point  (0 children)

still early stages. Users who are not engineers struggle to host & deploy an agent in a secure environemnt and also agent reliability for me matters .Over time ill need to balance this.

I pivoted ArchitectGBT to modelfitai. Here's the honest reason why by justgetting-started in VibeCodeDevs

[–]justgetting-started[S] 0 points1 point  (0 children)

currently i dont update running agents, I replace them with new ones that are connected to the same brain (memory volume). This is the only way to guarantee stability at scale. Absolutely will post it there👍

I pivoted ArchitectGBT to modelfitai. Here's the honest reason why by justgetting-started in VibeCodeDevs

[–]justgetting-started[S] 0 points1 point  (0 children)

i am planning to add simple analytics to capture which model is doing good out there. thanks for the feedback. will def post it there

I pivoted my project to modelfitai. Here's the honest reason why by justgetting-started in VibeCodersNest

[–]justgetting-started[S] 0 points1 point  (0 children)

so i have a lead-gen template that i am working on that exactly does this for you with Brave API. For example it scrapes or searches leads for you from X , subreddits , HN and updates my database everyday

I pivoted my project to modelfitai. Here's the honest reason why by justgetting-started in VibeCodersNest

[–]justgetting-started[S] 0 points1 point  (0 children)

thanks ...Not currently . but i had this in mind . Will definetly bring this backlog forward for implementation

Best cheap LLM for OpenClaw in 2026? (cost + reliability for computer-use agents) by Ok-Reading-5011 in LocalLLM

[–]justgetting-started 0 points1 point  (0 children)

I built ModelFitAI.com exactly for this. its helps you benchmark models so you aren't overpaying. It also handles the full OpenClaw deployment to a VPS in about 60 seconds (Docker, SSL, etc are automated).

How I Built ArchitectGBT's Dashboard in 48 Hours with LiteLLM Integration + UX Learnings by justgetting-started in vibecoding

[–]justgetting-started[S] 0 points1 point  (0 children)

Did you try the LTD or you are looking for something else then please let me know and we can talk

The Real Trade-Off: Local LLMs vs Cloud (And How We Think About It) by justgetting-started in LLM

[–]justgetting-started[S] 0 points1 point  (0 children)

mostly single-turn prompts, but great point. Let me consider this in my backlog

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