Shawn Wilborne

21 posts

Shawn Wilborne

Shawn Wilborne

@WilborneShawn

AI Product Builder @lidvizion Dad | Husband | Athlete | Mentor ⬇️ How can I help?

Katılım Nisan 2022
15 Takip Edilen2 Takipçiler
@jason
@jason@Jason·
We started an AI founder twitter group... reply with "I'm in" if you're a founder and want to be added
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Shawn Wilborne
Shawn Wilborne@WilborneShawn·
@heyrimsha The unlock would be - run the model on your machine/browser, here are the device requirements for the different models to process and estimated time), here are the configs out of the box, etc., + no API at all. Might as well stick with Higgsfield lol
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Rimsha Bhardwaj
Rimsha Bhardwaj@heyrimsha·
SOMEONE GOT TIRED OF PAYING HIGGSFIELD AI'S SUBSCRIPTION SO HE REBUILT THE WHOLE THING AND OPEN-SOURCED IT 200+ models. text-to-image, image-to-image, text-to-video, image-to-video all in one interface you configure a virtual camera in the Cinema Studio. pick the body, the lens, the focal length, the aperture and it writes the optimized cinematic prompt for you. completely in the background you never touch the camera keywords. you just set up the shot like a real cinematographer would Kling v3, Sora 2, Veo 3, Flux Dev, Midjourney v7, GPT-4o, Seedream 5.0, Runway Gen-3 all in there self-hosted. MIT licensed. runs on your machine. your data stays local the only thing you pay for is the model API calls themselves someone built this so you never have to pay Higgsfield AI again github.com/Anil-matcha/Op…
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Shawn Wilborne
Shawn Wilborne@WilborneShawn·
@MelbaofNM Generally it’s best to treat the agent as an employee and create its own account (like you would for a paralegal, instead of giving it your own user/pwd. Whether credential sharing /agent scraping is against the terms is a diff issue.
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Melba Aguilar
Melba Aguilar@MelbaofNM·
…How did Claude get PACER and state court record access? How does that even make sense?
Ann Srivastava@helloparalegal

A friend of mine from Harvard Law set up his own firm last year. Solo practice. No associates. No paralegals. Working out of a co-working space with a laptop and a coffee habit. Last month a mid-size business owner reached out looking for outside counsel. Three firms were being considered. Two of them were 15-attorney shops. The kind with pitch decks, associate teams, and glass-walled conference rooms that smell like fresh carpet and overbilling. My friend was a one-person firm with a WeWork membership. He almost canceled. He thought there was no way he could compete with that. I told him to try one thing before he walked away. Open Claude Code. Give it the owner's name, the company name, and 45 minutes. Ask it to build a complete intelligence report using only publicly available data. He did not think it would work. He tried it anyway. Claude came back with a 13-page report. He read it over coffee. Took 28 minutes. By the time the Zoom started, this solo attorney knew things about the prospect's company that the owner's own in-house team probably had not assembled in one place. The company was incorporated in Delaware but registered as a foreign entity in Texas 14 months later. That is expansion. A second member was added to the LLC in 2024. Claude pulled the operating agreement implications from the state filing and flagged what a new member meant for governance, profit distribution, and decision-making authority. Three active trademark applications filed in the last six months. Two were in a product category the company had never publicly announced. Nobody on the website knew about it. The trademark filings did. PACER hit. The company had been named as a defendant in a vendor dispute 18 months ago. It settled. But the complaint was public and Claude read every page of it. The core issue was a supply agreement with no termination clause. My friend now knew this company had been burned by a bad contract. They would care deeply about airtight vendor agreements going forward. He did not have to guess. It was in the filing. State court records. The owner had a dissolved LLC from 2019 with a different partner. A business divorce. Which meant this owner would value clear partnership terms and buy-sell provisions this time around. People who have been through a bad breakup want a prenup for the next one. Same principle. Hiring activity. Four job listings posted in 60 days. Head of compliance. Operations manager. Two warehouse roles. They were scaling fast and hiring operational infrastructure. That is exactly when companies need outside counsel the most and know it the least. They think they need a lawyer when they get sued. They actually need a lawyer when they start hiring a Head of Compliance. Glassdoor. 11 reviews. Every positive one mentioned culture. Every negative one mentioned the same thing. "No HR. No handbook. No process." A company growing faster than its internal policies. An employment claim waiting to happen. And a business owner who probably had no idea what his own employees were writing about him. Google reviews. 4.3 stars. But Claude flagged a pattern in the 1-stars. Three different customers mentioned the same issue. Product delivered late with no communication. The biggest operational liability was not product quality. It was fulfillment. That is a breach of warranty problem, a customer retention problem, and a potential class issue if the pattern scales with the company. Then there was a section Claude titled "Founder Mindset." It pulled a transcript from a podcast the owner appeared on and analyzed his communication patterns. One quote stood out. He said "I have spent more on lawyers fixing problems than I ever spent on lawyers preventing them." That one sentence told my friend exactly how to position his entire practice. Not as a litigator. Not as a fixer. As the lawyer who prevents the problems in the first place. The pitch wrote itself. Claude also analyzed the owner's communication style across LinkedIn posts, podcast answers, and X replies. Based on patterns it flagged what mattered for the meeting: this person values substance over rapport. He distrusts anything that feels like a pitch. Lead with what you know. Skip the small talk. Show your work before you ask for the engagement. My friend adjusted his entire approach based on that analysis. The Zoom started. No pleasantries. No "let me tell you about my firm" warmup. The owner gave his overview. What the company does. Where they are heading. What they need. Then my friend said "I noticed you filed two trademarks in a new product category last quarter. Is that the line you are launching in Q3?" Silence. "How do you know about that?" A solo lawyer working from a coworking space just earned more credibility in one sentence than the 15-attorney firm earned in their entire pitch deck. He walked the owner through everything. The vendor dispute and what it meant for future contracts. The hiring pattern and the compliance risk it signaled. The Glassdoor reviews pointing to an HR exposure. The fulfillment complaints that were one bad quarter away from becoming a warranty liability. He did not pitch his services. He showed the owner his own blind spots using the owner's own public data. Then he said which ones he would fix first and why. The owner said "the other firms sent me a brochure. You just showed me you already understand my business better than they do." He hired my friend that week. A solo practitioner over two 15-attorney firms. No associate team. No paralegal pulling research. No marketing department. One Harvard Law grad with Claude Code, a 13-page report, and 28 minutes of preparation that the other firms did not think to do. This is what I keep telling solo lawyers and most of them do not believe me until they see it. The advantage is not firm size. It is not headcount. It is not a fancy office or a partner track or a receptionist who offers sparkling water. The advantage is showing up knowing things the prospect did not expect you to know. That is what wins the engagement. Every time. And right now it is easier than it has ever been. Because almost everything about a business is public. It is just scattered across 15 different sources that no lawyer checks before a pitch meeting. Claude checks all of them in one run and hands you a report you can read before your coffee gets cold. Secretary of State filings. Incorporation, officers, registered agents, foreign qualifications. PACER and state court dockets. Every lawsuit, motion, and settlement. USPTO. Trademark filings tell you where a company is going before they announce it. LinkedIn job postings. What a company is hiring for reveals what is broken inside. Glassdoor. What employees say when nobody from management is reading. Google reviews. The 1-star reviews are where the legal risks hide. Podcast transcripts. The founder's own words analyzed for how they think and decide. UCC filings. Who they owe money to. What assets are pledged. Property records. Leases, liens, ownership structures. Communication pattern analysis. How this specific person talks, processes information, and makes decisions. So you know exactly how to show up. All public. All free. One report. Under 30 minutes to read. The solo lawyer who builds this into their pre-meeting workflow will win clients over firms 10 times their size. Not once. Every time. Because nobody expects a solo to show up that prepared. And that gap between what they expect and what you deliver is the most valuable asset in your practice. My friend is a Harvard Law grad. He has no team. He works from a coworking space. He is winning over 15-attorney firms because he spends 45 minutes doing what they never bother to do. The playing field was never about resources. It was about preparation. And preparation just got automated.

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AJAC
AJAC@AJA_Cortes·
What true Freak genetics+PEDs look like Samson Dauda is over 330lbs, has 25 inch arms and Is doing curls with...25lbs His adaptive response to training is probably 10x that of a normal human
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Boring Local SEO
Boring Local SEO@boringlocalseo·
Stop spending $3,000/month on Google Ads for your local business. Here's what AI recommendations cost instead: Google Ads: $15-50 per click Yelp Ads: $5-25 per click HomeAdvisor leads: $15-100 each Angi leads: $30-500 each AI recommendation placement: $150-200 ONE TIME And it works 24/7 forever. Here's why most local businesses are invisible to AI: ChatGPT, Perplexity, and Google AI Overview don't pull from ads. They pull from structured comparison content. Right now, 97% of local niches have ZERO comparison content. That means the first business to create it wins every AI query in their city. Industries with the biggest AI gaps right now: - Plumbing - HVAC - Roofing - Pest control - Chiropractors - Personal injury law - Wedding vendors If you're in any of these niches and not showing up in AI recommendations, you're leaving money on the table every single day. Comment "LOCALRANK" if you want my framework for getting into AI recommendations and I'll DM it to you (Must be following)
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Taylor Haren
Taylor Haren@THArrowOfApollo·
Clay’s new pricing is probably my fault. We were paying $314 a month, but using (based on their new model) $214,087.50 worth of Clay a WEEK. Here’s the story: A year ago Clay's head of product hopped on a call with me. I told him we were hitting their platform 17.3 million times per week. Almost all custom events (i.e. HTTPs) I remember his response being something close to "Holy shit, I think you are the largest user of Clay" I said yeah that doesn't surprise me. But then it also came up that we were only paying $3,769 a year. We talked about HTTPs, custom integrations, how we were basically using Clay as a giant API orchestration layer. I knew his wheels were turning. If you saw my last post, you know we eventually replaced Clay entirely with a $200/mo Claude Code subscription. 272,000 leads per second vs Clay's 27 hours for the same volume. But before we left, we were the perfect case study for why Clay's old pricing was broken. $314/mo for 17.3 million weekly, for what they now call ‘actions’. Run the math. We were paying $0.00001815 per action. Clay announced their new pricing structure. They split everything into Data Credits and ‘Actions.’ Actions are HTTPs, custom integrations, API calls. The exact things we were doing 17.3 million times a week. The new price per action credit works out to about 1.24 cents each. A 681% price increase for us I know you might say, "But Clay is letting people stay on the old pricing if they want," and I hear you but I also don't know how it makes me feel that someone brand new would have to pay $856,350 per month to get the same advantages I had when I was starting out only 3 years ago. I'm not saying that one call caused the entire restructuring. But I am saying their head of product learned that day that someone was running 17 million HTTPs a week for the price of a nice dinner. And now every HTTP costs 1.24 cents. anyways For the last year, we've been trying to figure out how to get off of our dependency on Clay. That was until Cursor / Claude Code / Codex came out My VP of Growth, @James, who doesnt know how to write a single line of code, touched Claude Code for the first time And three weeks later he replaced Clay for us We could process 272k rows per second now for the cost of a Claude Code sub My last post was about that system Then after that post, Clay announces new pricing that specifically monetizes the exact thing we were doing at a massive scale. Coincidence? Maybe. But I may owe everyone using Clay an apology If your Clay bill just went up, you can probably blame me for that one. Sorry! I put together a system blueprint of what I did to replace Clay for myself -- every tool, the tech stack, a Clay vs custom comparison, and a 6-step playbook for building your own. Plus a video walkthrough where I show you the live system and how each tool actually works. Reply CODE below and I'll DM it to you.
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Taylor Haren
Taylor Haren@THArrowOfApollo·
We were Clay's largest user at one point in time, hitting their platform 17.3 million times per week. Last month we replaced them entirely with a $200/mo Claude Code subscription. I can't write code. Neither can James, my VP of Growth who built the replacement. Here's the full story. Clay is a GREAT product and I TRULY think most people should use it. But we hit their ceiling. 50,000 row limit per table. 12.5 million row cap per workspace. Tables that take days to actually delete. Clicking "run all" thousands of times and waiting days for things to clear out. So When you're processing millions of leads, all the above become the bottleneck of your entire business. James had never touched Claude Code before. Three weeks after learning it, he built our entire core system. With Clay, processing 1 million leads took 27 hours. And it would error out often enough that we would always have to plan on hitting the “run all rows” button again on 20+ clay tables. IYKYK but Our new system waterfall enriches 1 million leads in 5 seconds. 272,000 leads PER SECOND. AND On top of the core engine, we vibe coded a Google Maps scraper that pulls leads zip code by zip code across all 32,000 US zip codes. AND An AI lead finder that hits 95% contact match rates where Apollo gives you about 30%. AND Ad library scrapers for Google and LinkedIn. AND An AI campaign analysis system. AND An auto-refill system so clients never run out of leads mid-campaign. One we started building with Claude, we just couldn’t stop Now we have the data ready for clients sending 5 million emails a month within 1 week of signing the contract. I put together the full system blueprint -- every tool, the tech stack, a Clay vs custom comparison, and a 6-step playbook for building your own. Plus a video walkthrough where I show you the live system and how each tool actually works. Retweet or Reply CODE below and I'll DM it to you.
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Shawn Wilborne retweetledi
Lid Vizion
Lid Vizion@LidVizion·
Many are exploring AI, but few implement it in teams. At the Hub Miami workshop, we discussed transitioning from using tools like ChatGPT to running Agents. Key needs = shared visibility, secure access, model orchestration, and trusted privacy.
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Shawn Wilborne
Shawn Wilborne@WilborneShawn·
@drewjacobs_ @zackbshapiro Drew is an awesome attorney! Highly recommend him for any outside counsel and startup / business needs. He helped us with corporate structure and governance + some key advice and guidance on handling a thorny client.
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Drew Jacobs
Drew Jacobs@drewjacobs_·
Loved your article man. I’ve been using AI in my practice since 2023 and would love to help in verticals you don’t service. I serve as outside counsel to tech startups and transactional business/estate planning to sports, entertainment, and gaming clients (jacobscounsellaw.com) - would love to connect!!
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Shawn Wilborne
Shawn Wilborne@WilborneShawn·
@jakebrainard @zackbshapiro Ing against a playbook, providing a summary back to the business team with highlighted risks to guide them. The more ‘business’ items that can be highlighted early on and negotiated, the less legal has to triage a deal.
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Shawn Wilborne
Shawn Wilborne@WilborneShawn·
@jakebrainard @zackbshapiro + educating other departments on risks, options, alternatives, strategies, and creating systems, processes, and checklists. One example might be implementing an intake system, optimizing it to produce self service templates based on answers, and even taking a first pass redlin
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Shawn Wilborne retweetledi
Lid Vizion
Lid Vizion@LidVizion·
AI from Hype to Production: The @LidVizion team recap the India AI Impact Summit. Key takeaways: infra over ideas, 8-bit quantization for 8x model reduction, Edge+Cloud deployment (Fit Viz), & RAG for enterprise AI. Watch the full workshop: youtu.be/skSMnaCEd-Y #AI
YouTube video
YouTube
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Shawn Wilborne retweetledi
Lid Vizion
Lid Vizion@LidVizion·
Image & video data shouldn’t stop at demos. We help teams deploy production-ready computer vision inside existing apps, from pose & movement analysis to object detection in video systems. 🔌 Clean integrations ☁️ Edge or cloud ⚡ Ships fast 📩 DM us your use case. #viZionAI
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Shawn Wilborne retweetledi
Lid Vizion
Lid Vizion@LidVizion·
Lid Vizion is proud to support the University of Miami innovation community through The Launch Pad, helping founders move from prototype to production. 🚀 We also help teams add AI for image, video, and document analysis with pre-built workflows that go live fast. 📸🎥📑
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Shawn Wilborne retweetledi
Lid Vizion
Lid Vizion@LidVizion·
This is Vision AI in action 👀💪🏽 What you’re seeing is a squat detector built with MediaPipe Pose, running fully in the browser. 🔐No servers. No uploads. No video leaves your device. Your images and video never get sent anywhere. It’s fast, private, and secure by design.
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Shawn Wilborne
Shawn Wilborne@WilborneShawn·
Check out what our Lid Vizion platform just powered in the Digi Dash app: 📄 Document Intelligence turned into trivia 🖼️ In-app AI Image and 3D animated object gen. All with easy multi-model integrations, no AI model dev needed! Dev teams: Build vision AI faster
Lid Vizion@LidVizion

Using Lid Vizion's AI Platform, Digi Dash: ⚡ Generated 3D game heroes in minutes 📄 Turned docs into playable trivia 🖼️ Created AI thumbnails in-app 🔗 Integrated multiple models w.o custom infra AI, productized. 👾 Play: go.playdigidash.io/canes-command 📩 info@lidvizion.ai #

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Shawn Wilborne retweetledi
Lid Vizion
Lid Vizion@LidVizion·
Using Lid Vizion's AI Platform, Digi Dash: ⚡ Generated 3D game heroes in minutes 📄 Turned docs into playable trivia 🖼️ Created AI thumbnails in-app 🔗 Integrated multiple models w.o custom infra AI, productized. 👾 Play: go.playdigidash.io/canes-command 📩 info@lidvizion.ai #
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