Luke the SMB Student

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Luke the SMB Student

Luke the SMB Student

@SMBStudent

building new agent tech | startup guy | made videos for a while, got a few million views | big SMB fan

USA เข้าร่วม Nisan 2023
282 กำลังติดตาม426 ผู้ติดตาม
Luke the SMB Student
Luke the SMB Student@SMBStudent·
Looking for a brand designer for a new project who has worked on brands focused in enterprise software, AI, etc. Need help with: Logo, brand mark, typography, color theme, lightweight design systems, etc. Flexible budget, looking for fantastic talent that can move quickly.
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Cole Simpson
Cole Simpson@sodacitysimpson·
What if we tipped a waitress a roof?
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Luke the SMB Student
Luke the SMB Student@SMBStudent·
@jmoserr And that’s why they’re a great signal test for quality operators. Everyone using these tools for SEO, Ads, etc. to “set and forget” make it easier for others to succeed. 100% value in these tools if you know what you’re doing, but just clicking a button won’t yield results.
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Leadpoet
Leadpoet@LeadpoetAI·
Introducing Leadpoet. The AI agent that delivers ready-to-buy prospects on demand. Your next customer is already looking for your solution. Leadpoet finds them. Comment “Poet” and we’ll send you 100 free lead credits for your ICP.
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Ishan Goswami
Ishan Goswami@TheIshanGoswami·
homie just launched his startup 🔥
Nishkarsh@contextkingceo

We've raised $6.5M to kill vector databases. Every system today retrieves context the same way: vector search that stores everything as flat embeddings and returns whatever "feels" closest. Similar, sure. Relevant? Almost never. Embeddings can’t tell a Q3 renewal clause from a Q1 termination notice if the language is close enough. A friend of mine asked his AI about a contract last week, and it returned a detailed, perfectly crafted answer pulled from a completely different client’s file. Once you’re dealing with 10M+ documents, these mix-ups happen all the time. VectorDB accuracy goes to shit. We built @hydra_db for exactly this. HydraDB builds an ontology-first context graph over your data, maps relationships between entities, understands the 'why' behind documents, and tracks how information evolves over time. So when you ask about 'Apple,' it knows you mean the company you're serving as a customer. Not the fruit. Even when a vector DB's similarity score says 0.94. More below ⬇️

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Matthew Berman
Matthew Berman@MatthewBerman·
Who is building products and services for agents? @agentmail and here.now are super interesting. Who else?
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Luke the SMB Student
Luke the SMB Student@SMBStudent·
@DannyMagazu Correct. Agent harnesses, memory/plan management and improved evals are where many are spending time.
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Dan Magazu
Dan Magazu@DannyMagazu·
Here's what I've learned over the past couple of weeks with people who are really in touch with AI. They all think OpenClaw sucks. They all have advised on focusing on mastering Claude Co-Work and Claude Code. Even if they are doing something productive with Openclaw, the other tools on the market will pass it in a matter of months. They all say that anyone telling you to use OpenClaw is just peddling garbage. What do you all think?
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Sudo su
Sudo su@sudoingX·
qwen overtook meta's llama in total huggingface downloads. alibaba is now #1 in open source AI. i've been running qwen models for 2 weeks. 6 benchmarks. 4 models. dense vs MoE vs distilled vs base. every test on a single 3090. the download numbers are catching up to what the data already showed. meta and alexander wang keep talking about superintelligence while their actual models can't hold a coding benchmark anymore. llama used to be the default. now it's the fallback for people who haven't updated their scripts. qwen 3.5 27B dense holds 35 tok/s from 4K to 262K context on one card. no degradation. the 35B MoE runs 112 tok/s flat across the same range. the 80B coder hit 46 tok/s on 2x 3090s and oneshotted a 564 line particle sim. their 9B beats OpenAI's 120B on key benchmarks. good architecture over parameter count. i ran dense vs MoE vs distilled on the same GPU, same quant, same prompt. wrote an article breaking down every result. the data speaks for itself.
Sudo su@sudoingX

x.com/i/article/2023…

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Luke the SMB Student
Luke the SMB Student@SMBStudent·
As time goes on one thing is becoming increasingly clear from those I’ve spoken too. If you don’t have a section of your work life that is old school (manual writing, planning, intellectually stimulating) and not AI-augmented, you’re toast. Permanent cognitive processing damage.
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Luke the SMB Student
Luke the SMB Student@SMBStudent·
@CoFoundersNik Are you using any observability/logging tools to see the actual break points? My buddy has an open source repo for agent/Mcp observability and logging, but idk if it has openclaw just yet
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CoFounders Nik
CoFounders Nik@CoFoundersNik·
@SMBStudent i have cron jobs that prune my chats when they get too bloated so theoretically, i shouldnt have any issue but i bet im doing something wrong
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CoFounders Nik
CoFounders Nik@CoFoundersNik·
Whats the point in having a skill if it can just be IGNORED??? Does anyone know why this happens and how to prevent it? Asking for a friend...
CoFounders Nik tweet mediaCoFounders Nik tweet media
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Luke the SMB Student
Luke the SMB Student@SMBStudent·
@CoFoundersNik @ppcguru Now imagine you have LM Studio with LM Link enabled in an office and you have an entire local compute farm to do hundreds of daily tasks across admin, billing, payor confirmations, etc. (I’m thinking of building this as I explain it, lol)
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