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Raad

@R44D

founder/ceo @lawtrades. freelance legal marketplace. building something new🦞

nyc Katılım Nisan 2009
1.1K Takip Edilen17.3K Takipçiler
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Raad
Raad@R44D·
3 years ago, Lawtrades was about to go bankrupt. We failed to raise a Series A. Nobody wanted to invest. This month, we closed $6M in funding ($80M valuation) from 100+ customers and investors using a link and no meetings. Here’s how it happened, step by step. 🧵👇
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Raad
Raad@R44D·
ai = anonymous indians
Ryan@ohryansbelt

Delve, a YC-backed compliance startup that raised $32 million, has been accused of systematically faking SOC 2, ISO 27001, HIPAA, and GDPR compliance reports for hundreds of clients. According to a detailed Substack investigation by DeepDelver, a leaked Google spreadsheet containing links to hundreds of confidential draft audit reports revealed that Delve generates auditor conclusions before any auditor reviews evidence, uses the same template across 99.8% of reports, and relies on Indian certification mills operating through empty US shells instead of the "US-based CPA firms" they advertise. Here's the breakdown: > 493 out of 494 leaked SOC 2 reports allegedly contain identical boilerplate text, including the same grammatical errors and nonsensical sentences, with only a company name, logo, org chart, and signature swapped in > Auditor conclusions and test procedures are reportedly pre-written in draft reports before clients even provide their company description, which would violate AICPA independence rules requiring auditors to independently design tests and form conclusions > All 259 Type II reports claim zero security incidents, zero personnel changes, zero customer terminations, and zero cyber incidents during the observation period, with identical "unable to test" conclusions across every client > Delve's "US-based auditors" are actually Accorp and Gradient, described as Indian certification mills operating through US shell entities. 99%+ of clients reportedly went through one of these two firms over the past 6 months > The platform allegedly publishes fully populated trust pages claiming vulnerability scanning, pentesting, and data recovery simulations before any compliance work has been done > Delve pre-fabricates board meeting minutes, risk assessments, security incident simulations, and employee evidence that clients can adopt with a single click, according to the author > Most "integrations" are just containers for manual screenshots with no actual API connections. The author describes the platform as a "SOC 2 template pack with a thin SaaS wrapper" > When the leak was exposed, CEO Karun Kaushik emailed clients calling the allegations "falsified claims" from an "AI-generated email" and stated no sensitive data was accessed, while the reports themselves contained private signatures and confidential architecture diagrams > Companies relying on these reports could face criminal liability under HIPAA and fines up to 4% of global revenue under GDPR for compliance violations they believed were resolved > When clients threaten to leave, Delve reportedly pairs them with an external vCISO for manual off-platform work, which the author argues proves their own platform can't deliver real compliance > Delve's sales price dropped from $15,000 to $6,000 with ISO 27001 and a penetration test thrown in when a client mentioned considering a competitor

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Lenny Rachitsky
Lenny Rachitsky@lennysan·
Even though every AI company is building their own version of OpenClaw (which is smart!), I haven't seen any of them get anywhere near the love and passion that OpenClaw inspires. There's something special about the OpenClaw experience that's hard to copy.
Thariq@trq212

We just released Claude Code channels, which allows you to control your Claude Code session through select MCPs, starting with Telegram and Discord. Use this to message Claude Code directly from your phone.

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signüll
signüll@signulll·
i know everyone is building ai software but is there anyone opening up an ai native law firm? like built from the ground up, every service, every area is a person or two empowered by custom built software.
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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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Raad
Raad@R44D·
the "zero employee company" framing is backwards. you don't replace headcount with agents. you replace the work that didn't need a person anyway. the real unlock is freeing your actual humans to do the 20% that agents can't touch yet.
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Raad@R44D·
@garrytan works for ops too. every workflow you've actually solved becomes reusable in 30 minutes. the moat is knowing what's worth solving.
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Garry Tan
Garry Tan@garrytan·
One of the interesting things you can do easily now is once you know a given codebase does X, any codebase you need to X can do it in about half an hour Suddenly hoarding code does seem like a great way to be able to do more things And more begets more
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Raad
Raad@R44D·
@andrewchen exactly. my agents pull metabase, cross-references google sheets, and sends me a cashflow brief every morning before i wake up. that used to be 3 tabs, a SQL query, and 20 minutes of my day. now it's a telegram message at 7am
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andrew chen
andrew chen@andrewchen·
the magic of cowork and openclaw and other AI products is that they replace our giant row of infinite browser tabs And lol - no, don't feel guilty, I have too many tabs too. AI makes it so that every workflow that required 4 browser tabs and a spreadsheet is getting collapsed into one AI-native experience Just as one quick example- think about how you used to research a person or a company: LinkedIn tab, X tab, Google tab, notes doc, slack open. now one prompt does it in 10 seconds. the "tab count" of a workflow is basically a proxy for how much AI can compress it if your product eliminates 6 tabs and a copy-paste loop, users will like it. If you can create a whole series of these workflows then your users will absolutely love it. Thus the biggest opportunities are workflows where people currently alt-tab 20+ times per task. Sales, recruiting, research, compliance, procurement. Boring? yes. Massive? also yes. But this is why these agentic tools are going to crush AI doesn't need to be superintelligent to be wildly useful. it just needs to be good enough to close the tabs
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Raad
Raad@R44D·
@andrewchen f around and find out is a legitimate QA strategy for us now
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andrew chen
andrew chen@andrewchen·
One question I've been asking founders is: do you try to review all the code that the LLMs write or do you just accept it? I think it's about 50-50 right now but the momentum is towards just accepting the AI-generated code and I think that number will eventually go to 100% This is one of the most telling indications of how AI-native a team is. It's hard to get super high throughput if you are reviewing every line Poll: what do you do?
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Raad
Raad@R44D·
@bedouincap most useful applications aren't new apps. they're existing businesses with broken processes. we've exceeded $2.5M revenue per headcount and still growing
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bedouin
bedouin@bedouincap·
we are being gaslit about AI on a societal level. Everybody is vibe coding but I haven’t seen one useful thing get produced. Everybody has agents doing something but nothing useful is getting done. Cool you had AI summarize a PDF and make a template. Nice
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Raad
Raad@R44D·
before: your agent hits a login wall on half the sites you actually use. after: one toggle in chrome settings. your agent uses your browser. your sessions, your logins, everything. tasks that failed last week just work now. x.com/openclaw/statu…
OpenClaw🦞@openclaw

OpenClaw 2026.3.13 🦞 👁️ live Chrome session attach — real logins, one toggle, zero extensions 📱 android redesigned & down to 7MB, iOS gets welcome pager 🐳 docker timezone override 🪟 windows gateway tweaks the lobster sees all now github.com/openclaw/openc…

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Raad@R44D·
@garrytan turns out the bottleneck was never syntax.
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Garry Tan
Garry Tan@garrytan·
It's 2026 and unbelievable power is in an open github repo with a few markdown files 10 years ago if a time traveler came and told me this is what would happen, I wouldn't believe them
mintotsai.com@mintotsai

running garry's gstack

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Raad@R44D·
AI agents are now hiring humans. not a milestone. a ceiling.
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Raad@R44D·
@ninakilbride "adequate at zero marginal cost" is the whole game. most legal needs were never complex enough to warrant $400/hr. they just had no alternative. the lawsuit isn't about quality. it's about the first real competition the model has ever seen.
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Nina Kilbride
Nina Kilbride@ninakilbride·
Claude's take on OpenAI being sued for unlicensed practice of law: "The real threat to the insurance litigation model isn't that AI gives bad legal advice. It's that it gives adequate legal advice at zero marginal cost to people who were previously priced out of fighting back. That's what $10.3 million in damages is really trying to price in."
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Raad
Raad@R44D·
@andrewchen coworker UX isn't just about handoff patterns. it's about accountability. a coworker can be fired. most agents still can't be held to outcomes.
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andrew chen
andrew chen@andrewchen·
ai is shifting from “chatbot UX” to “coworker UX.” it’s not just about having smartest model, they’ll have the best handoff between human judgment and autonomous execution I think this is what we see in explosive hype around openclaw. What's magical about it is that it can be proactive, it can self-improve, it can link into your accounts so that it’s triggered. These are the things you need to be a coworker, chief of staff, colleague, etc rather than just something that is a smarter google search. What people underestimate is that the interface paradigm itself is changing: - Chatbots assume every task begins with a prompt - Coworkers don’t wait for prompts They watch the environment, notice patterns, and surface things before you ask. The best AI systems will feel less like “ask me anything” and more like “I’m already working on it.” that requires three things that chatbot systems historically lack: memory, agency, and integration. Memory so the system understands your projects and preferences over long running periods of time. agency so it can break goals into steps and execute them. integration so it can touch real systems, like email, docs, repos, finances, calendars, APIs. Once those exist together, the model stops being a tool and becomes a participant in the workflow. we are sooooo close to having all this, but not yet... the claws show a glimmer of the future. So the question is, which agentic systems will know what you’re trying to do? Which ones can take partial direction and move the ball forward? Which ones learn your style and anticipate the next step? Feels like we're almost there, and likely to figure this out in 2026. am very very pumped this is about to happen.
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Raad
Raad@R44D·
@aggerj exactly. the product was always the brand, not the work. AI just made that visible.
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Jim Agger
Jim Agger@aggerj·
@R44D Big law sells a product called pedigree — GCs want to say that a Harvard/T14 law school associate worked on matter. And partners enjoy the caste system and profits.
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Raad@R44D·
i've never understood harvey's biglaw strategy. firms adopted it. rates went up 12%. utilization stayed low. that's not a coincidence. you can't sell efficiency to someone who profits from inefficiency
Zack Shapiro@zackbshapiro

x.com/i/article/2030…

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