Justin

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Justin

Justin

@make2spec

Shop engineer bridging the gap between development and ops.

Boston, MA शामिल हुए Haziran 2024
604 फ़ॉलोइंग211 फ़ॉलोवर्स
पिन किया गया ट्वीट
Justin
Justin@make2spec·
Legacy shops build grit and resourcefulness. High-tech shops build systems thinking and scalability
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Dabs🩸
Dabs🩸@DabsMalone·
Its hard to imagine what the world will look like in 5 years
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Justin
Justin@make2spec·
All I know is this software stuff drains the life out of me. That’s my biggest motivation for putting agents to work.
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Will
Will@willreil·
Good habits will set you free. Build a new identity one small step at a time.
GIF
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Justin
Justin@make2spec·
@yacineMTB It gives me the most foul analogies and keeps referring to me by my professional title
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kache
kache@yacineMTB·
man. gemini is so bad
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Justin
Justin@make2spec·
Are products the only things that exist in the real world? Services just support products?
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Muhammad Ayan
Muhammad Ayan@socialwithaayan·
🚨 BREAKING: Someone just built the exact tool Andrej Karpathy said someone should build. 48 hours after Karpathy posted his LLM Knowledge Bases workflow, this showed up on GitHub. It's called Graphify. One command. Any folder. Full knowledge graph. Point it at any folder. Run /graphify inside Claude Code. Walk away. Here is what comes out the other side: -> A navigable knowledge graph of everything in that folder -> An Obsidian vault with backlinked articles -> A wiki that starts at index. md and maps every concept cluster -> Plain English Q&A over your entire codebase or research folder You can ask it things like: "What calls this function?" "What connects these two concepts?" "What are the most important nodes in this project?" No vector database. No setup. No config files. The token efficiency number is what got me: 71.5x fewer tokens per query compared to reading raw files. That is not a small improvement. That is a completely different paradigm for how AI agents reason over large codebases. What it supports: -> Code in 13 programming languages -> PDFs -> Images via Claude Vision -> Markdown files Install in one line: pip install graphify && graphify install Then type /graphify in Claude Code and point it at anything. Karpathy asked. Someone delivered in 48 hours. That is the pace of 2026. Open Source. Free.
Muhammad Ayan tweet media
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Justin
Justin@make2spec·
@aegrabs Sometimes big nozzle is right
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aegrabs
aegrabs@aegrabs·
does carbon fibre filament really abrade nozzles that quickly or is that just a myth made up by big nozzle
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Justin
Justin@make2spec·
@Joestar_sann It’s certainly a hype cycle but local hybrid agents seems to be the long-term direction when you look past all of it. You can’t have a robust model with the Gemma 4 models alone. It’s all about tokens/s/$
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Joestar
Joestar@Joestar_sann·
so let me get this straight all of ai twitter was telling people to buy a mac mini to run openclaw, which is literally just a framework, an orchestration layer that sends api requests to actual ai models. something you can run on a $5/month vps. which is exactly what i do btw but when google drops gemma 4, an actual large language model that you can run and fine-tune locally on that same mac mini, with no api costs, no subscriptions, no third party dependencies, completely yours under apache 2.0 the ai community is silent you were buying $800 hardware to run a wrapper but ignoring the actual ai model that would justify that hardware this tells you everything you need to know about the average iq of ai twitter
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yosoymario
yosoymario@yosoymario91·
@signulll I doubt there's even one, all the use cases ive seen are either extremely niche or just some nonsense like getting a Wikipedia summary at the morning on what happened in a particular day
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signüll
signüll@signulll·
i’m curious what are your top 5 use cases for openclaw that you cannot live without?
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EL
EL@elnomic·
@signulll literally nothing, claude cowork has a much more controlled environment
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AGG
AGG@darthcap1tal·
@signulll This, of course
AGG tweet media
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Justin
Justin@make2spec·
@bridgemindai @matthewmillerai So you will still need API models for higher reasoning and complex execution right? I have a tiny setup with my 5060Ti 16GB and already have issues with simple tool calling like web search.
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BridgeMind
BridgeMind@bridgemindai·
OpenClaw running on my NVIDIA DGX Spark. No Anthropic servers. No rate limits. No subscription. Claude Code rate limited me. Anthropic cut off OpenClaw from subscription limits. So I bought my own hardware. Now I'm running OpenClaw locally on a Grace Blackwell chip. The same tool Anthropic tried to throttle, running on infrastructure they can't touch.
BridgeMind tweet media
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キャステム【公式】
マイクロなマイクロメーターつくりました
キャステム【公式】 tweet media
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Daniel.md🛀
Daniel.md🛀@dbdanieljnr·
@make2spec @SavegeorgeG Speedy prototyping. say you are discussing product feature with a client, and you already prepared a keyword capturing agents through speech to text, then with great tooling and skills, one can have a client interact with a prototype in the first discovery brainstorming session.
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hobo.sats
hobo.sats@SavegeorgeG·
That I can create a part in OpenSCAD, place it along others in FreeCAD, then export it, and apply materials in Blender, all from terminal, is NUTS!!! Dunno if I should show my boss or not!
hobo.sats tweet media
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Matter as Machine
Matter as Machine@matterasmachine·
@make2spec You cannot align civilisation with nature - no cell phones in the wild.
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Matter as Machine
Matter as Machine@matterasmachine·
"Ego" is good if you are right.
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Justin
Justin@make2spec·
Finally got my local AI running with Gemma 4. My benchmark will only be how much it can do for me day to day.
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Justin
Justin@make2spec·
@willreil I'm always way too conservative with margins. If no one else is in the market you really have a choice to price it what it's worth or what people will pay for it
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Will
Will@willreil·
If you aren’t fighting for every cent, you aren’t going to make it. A cent turns into a dollar. Before you know it, your margins have been eaten to the bone by complacency.
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