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JC

@shiftj

YC Founder • Advisor • Investor • Builder

Earth Присоединился Temmuz 2025
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JC
JC@shiftj·
A bit about me: YC Alum. Eng turned CEO. - I raised $3m in 14 days. - No decks. No board seats. - I built to $1m+ ARR - Turned it profitable - Now spinning off more companies Follow if you want unfiltered founder takes. The kind of stuff founders can't talk about.
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JC
JC@shiftj·
@XiJin12 easier. restaurants need capital to start.
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Jason Jin
Jason Jin@XiJin12·
@shiftj Starting software company will be like starting a restaurant.
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JC
JC@shiftj·
@StrictParental distribution is still challenging - the main defense against copies. most copies don't realize how much of the 'special sauce' lives outside of the product.
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Strict Parental
Strict Parental@StrictParental·
@shiftj speed-to-ship but also need to know how to market what you're selling
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Dan
Dan@dcarps14·
@shiftj Unpopular but true!
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JC
JC@shiftj·
@soniasarao easier than ever
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JC
JC@shiftj·
@teostealth enables you to do more, so you do
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Teo Vanyo Adiputra
Teo Vanyo Adiputra@teostealth·
@shiftj Yeah the productivity thing is weird. Like you get better at stuff but then just pile on more work
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JC
JC@shiftj·
@EncodedInsight interesting world in saas when that happens
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EncodedInsight
EncodedInsight@EncodedInsight·
@shiftj Agreed. The ease of data capture is inverse to the value of the data.
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JC
JC@shiftj·
@EncodedInsight Even still, never been easier to compete. Also, that advantage may be also be at risk in the coming years as data becomes easier and easier to capture and migrate (this is already a growing trend)
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EncodedInsight
EncodedInsight@EncodedInsight·
@shiftj As an incumbent it depends on a few factors including how good your data is and how much overhead bloat you have. Basically, do you have a data advantage over a new market entrant and can you move fast enough to use the data.
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JC
JC@shiftj·
@wildpinesai great way to put it
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WildPinesAI
WildPinesAI@wildpinesai·
@shiftj AI didn't save you time, it removed the friction that used to make you quit for the night. The "ugh this is annoying" wall was your off switch and now it's gone.
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JC
JC@shiftj·
@shezanick reducing work and adding more at the same time
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Shezan
Shezan@shezanick·
@shiftj Yep, that's been my life. funny ppl are thinking this is reducing work.
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JC
JC@shiftj·
@0xbono 100% - also depends on the type of case load and evidence that's important. Lot of different skews of what needs to be parsed.
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Bono
Bono@0xbono·
@shiftj toughest part in parsing docs are not just words. shipping barcode, red stamps, different languages, small scratches, and delivering 100% accuracy. (saw a client case in logistics and insurance) curious how legal docs would perform.
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JC
JC@shiftj·
I just saw my lawyer friend *literally* read 1,000 pages of documents trying to pull out the facts for his case. It took him 3 days, what a waste of time.. Friends don't let friends manually read 1k pages of documents. Going to spend the weekend automating that for him. If you've got any lawyer friends, send em my way. Happy to share the love.
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JC
JC@shiftj·
@EncodedInsight I have so many questions for you.. cool if I DM?
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EncodedInsight
EncodedInsight@EncodedInsight·
@shiftj Basically just LLM powered doc review - prompt based search of relevant sections that were linked and summarized for the user e.g. Give me any document section that refers to or could be related to the {incident}
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JC
JC@shiftj·
@benpal118 it'll be pretty specific to legal work but sure, happy to
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Ben Palmer
Ben Palmer@benpal118·
@shiftj Incredible. Would love to play around with it when you have an MVP ready — I could really use something like that too since I do video editing and I hate reading my mail.
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JC
JC@shiftj·
@EncodedInsight awesome - what did you build exactly? curious how similar it is to what I'm working on
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EncodedInsight
EncodedInsight@EncodedInsight·
@shiftj I built one using Azure AI Foundry and its super easy. You can use the Open AI API standard and so its quite easy to switch as well if you want to go the Enterprise route.
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Isaac A.
Isaac A.@isaacahor_·
@shiftj Hey JC. Can you check your DM?
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JC
JC@shiftj·
@EncodedInsight Looking into how far you can get with a self-hosted, closed circuit build. (Could be overkill - lot of Legal Tech companies using OpenAI Enterprise Tier apparently)
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EncodedInsight
EncodedInsight@EncodedInsight·
@shiftj What are you planning on using? Can't you use Claude Code? Need secure inference?
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JC
JC@shiftj·
@hanselh_ Tried it yesterday. I liked the /ceo-plan-review, helps clarify the problems you're trying to solve and potential paths. Haven't used it more than that though
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Hansel
Hansel@hanselh_·
@shiftj For those that have tried this vs others like GStack, what's your learning so far? Does it make any difference? In what way?
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JC
JC@shiftj·
Is anyone actually using stuff like this? serious question
Guri Singh@heygurisingh

🚨BREAKING: Someone just open sourced a complete AI agency and it hit 50K GitHub stars in under two weeks. It's called The Agency. And it's not a prompt template. It's 147 specialized AI agents across 12 divisions -- engineering, design, marketing, product, QA, support, spatial computing, each with its own personality, workflow, and deliverables. Here's what you actually get: → 147 agents across 12 divisions, each with unique voice and expertise → Works natively with Claude Code, GitHub Copilot, Gemini CLI, Cursor, OpenCode, and more → One-command install for any supported tool → Agents have defined missions, success metrics, and production-ready code examples → Full modding support -- build and contribute your own agents → Interactive installer that auto-detects your dev environment → Conversion scripts for every major agentic coding tool → Lua-style Markdown templates with YAML frontmatter Here's the wildest part: Most people use AI like a generalist intern. One model doing everything from writing copy to debugging code. This repo structures AI like an actual company. Specialized roles. Clear responsibilities. Defined workflows between agents. It started as a Reddit thread. Now it has 50K+ stars, 7.5K forks, and contributions from developers around the world. Greg Isenberg called it out. It hit 10K stars in 7 days. This is what the future of AI-assisted development actually looks like. 50K+ GitHub stars. 7.5K forks. 147 agents. 12 divisions. 100% Open Source. MIT License. (Link in the comments)

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