Frank(enstein) SEO

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Frank(enstein) SEO

Frank(enstein) SEO

@frankseo

Founder @ LLM Scout & Orchid Box | AI Visibility & B2B Lead Generation | Helping brands get found by ChatGPT, Gemini & Perplexity

Katılım Ocak 2009
154 Takip Edilen937 Takipçiler
Frank(enstein) SEO
Frank(enstein) SEO@frankseo·
Code Scout is live. Free to download. llmscout.co/code-scout API bills were getting out of hand. Local AI IDE that lets you actually control what model runs what task instead of sending everything to OpenAI and hoping for the best. Going open source soon
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Frank(enstein) SEO
Frank(enstein) SEO@frankseo·
Running local models like #Qwen is great… until they get stuck. Code Scout now detects failure and lets the orchestrator take over automatically. From crash → completion. #buildinpublic
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Kaito
Kaito@KaiXCreator·
As a Developer, how much RAM is enough for you? 1. 8 GB 2. 16 GB 3. 24 GB 4. 32 GB 5. 64 GB 6. 128 GB+
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Frank(enstein) SEO
Frank(enstein) SEO@frankseo·
@Bober_smart Agree with this. Hardware + local models is step one, but without a proper agent loop it’s still pretty manual. I’ve built Code Scout to solve that, local-first agent that actually runs tasks end-to-end. If you’re up for testing it on your Mac Mini, I can give you access.
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Bober_smart
Bober_smart@Bober_smart·
> Buy a Mac Mini -> $600 1. You get a full-scale AI agent that works 24/7 without breaks. 2. Claude sometimes "sleeps" (rate limits, downtime, night-time restrictions). 3. Your agent on a Mac Mini never sleeps. > Claude -> $200 every month > Mac Mini -> $600 one-time payment You gain an autonomous personal assistant that handles all your routine tasks, saving you both time and money.
leopardracer@leopardracer

x.com/i/article/2043…

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Frank(enstein) SEO
Frank(enstein) SEO@frankseo·
Built a cross-platform desktop app without owning Windows or Linux. Tauri + GitHub Actions runners = ship Mac, Windows & Linux from one machine. That’s how I built Code Scout 👀 Local AI, real tools, zero API lock-in.
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uixamjad
uixamjad@uixamjad·
You will end your Entire one year Claude or other AI subscriptions but naah never will get human taste and Results like this… 👇👇👇👇👇don’t depend on AI use it just for get starting with your idea or rid of Blank white screen 🥳🥳🥳🥳🥳
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Adit_Yah ☄️
Adit_Yah ☄️@Adidotdev·
Devs be honest, which IDE is the best right now?
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Frank(enstein) SEO
Frank(enstein) SEO@frankseo·
@aryagm01 Have you experimented with Local AI? Do you find it hard to do using the usual IDEs (cursor, VS code, Windsurf)? Built a code IDE from the ground up for small coding models:
llmscout.co/code-scout
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Arya Manjaramkar
Arya Manjaramkar@aryagm01·
dflash-mlx: DFlash speculative decoding, ported to Apple Silicon. Qwen3-4B at 186 tok/s on a MacBook. 4.6× faster than plain MLX-LM. Exact greedy decoding: output matches plain target decoding.
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shirish
shirish@shiri_shh·
someone built an OpenClaw agent that SELLS pool installations on autopilot. finds $500k–$1.2M homes without pools renders a pool in their backyard and mails a before/after postcard.
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Dom
Dom@AuthenticDom·
I built a Claude agent for Meta ads ...that analyzes your account and tells you exactly what to fix to scale profitably Comment "SCALE" and I'll send you the full workflow 👀
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Alex Finn
Alex Finn@AlexFinn·
I don't care what kind of hardware you have, you should be running local models It will save you a ton on money on OpenClaw and keep your data private Even if you're on the cheapest Mac Mini you can be doing this Here's a complete guide: 1. Download LMStudio 2. Go to your OpenClaw/Hermes and say what kind of hardware you have (computer and memory and storage) 3. Ask what's the best local model you can run on there (probably will be Gemma 4 or Qwen. if you have a big computer, it will be GLM) 4. Ask 'based on what you know about me, what workflows could this open model replace?' 5. Have OpenClaw walk you through downloading the model in LM Studio and setting up the API 6. Ask OpenClaw to start using the new API Boom you're good to go. You just saved money by using local models, have an AI model that is COMPLETELY private and secure on your own device, did something advanced that 99% of people have never done, and have entered the future. If you are on smaller hardware you probably are not going to replace all your AI calls with this, but you could replace smaller workflows which will still save you good money Own your intelligence.
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Frank(enstein) SEO
Frank(enstein) SEO@frankseo·
Shipped with Local AI 👇 Kimi 2.5 + Qwen (local) → desktop app 164M tokens later… Not a demo. Used daily. UK property tool: finds & ranks deals. Not for sale. Edge only. Local AI = slower, cheaper, more control Only thing that matters: did you ship?
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Frank(enstein) SEO
Frank(enstein) SEO@frankseo·
Can Gemma 4 be your orchestrator & instruct code agents to write code for you? Simple answer: NO. Gemma isn’t built for tool use: • no native function calling • no reliable structured outputs • weak multi-step planning Use a stronger planner → let Gemma execute.
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Frank(enstein) SEO
Frank(enstein) SEO@frankseo·
Built a free AI coding agent for Mac that runs on Ollama / LM Studio / llama.cpp. Local models. Real tools (shell, git, files). No API bill. Still beta but the loop works. Join the waitlist 👇 llmscout.co/code-scout
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Frank(enstein) SEO
Frank(enstein) SEO@frankseo·
Been tinkering with something the last few weeks. Got fed up with how expensive AI coding has become. $200 Cursor sub + £1,834 in API spend in March… and I barely shipped anything. Not even mad. Opus 4.6 is insanely good. But it made one thing obvious: this doesn’t scale.
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Frank(enstein) SEO
Frank(enstein) SEO@frankseo·
AI coding is getting expensive fast. $200 subscription + $1k–$2k in API usage. So I built a local-first IDE instead. It uses orchestration, memory, and a heartbeat system to actually work with small models. youtube.com/watch?v=9KLV-n…
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