Daniel Landsman

My opinions are my own.

fucking ruthless lol. now we know why anthropic left the board of figma this week they built a product that not only replaces them it’s just better Figma stock is getting crushed on the news and already down 50% this year 💀 claude design > reads your code base, > creates a custom design system for it > uses new opus 4.7 to create design assets this is 90% of the work designers do.

@yanndine GTM

A two-person GTM team at a Series B SaaS company closed $2.4M in pipeline in one quarter. No SDRs. No demand gen agency. No paid ads. Signal-based outreach. Intent scoring. AI-sequenced follow-up. Automated reporting. Two GTM engineers running the whole motion - for one quarter. I pulled it apart. Compared it to every system we've built across the GTM teams we've worked with. Then asked myself one question: If I had to reverse engineer this from scratch - what would it actually look like? Turns out the architecture isn't that complicated. I mapped the whole thing into a step-by-step playbook you can upload directly to any LLM. It walks you through building your own version from GTM strategy to fully AI-powered execution. Comment "GTM" and I'll send it over.

@Suryanshti777 Plugins

This might be the biggest shift in knowledge work since GPT-4 launched. Claude Cowork Plugins went live January 30. Most people have no idea they exist. Here's what they unlock: Instead of typing the same prompts over and over, you install a plugin once — and Claude becomes a specialist. A legal document reviewer. A financial auditor. A resume screener. A board deck writer. I spent 40 hours building the complete guide: 53 pages of step-by-step instructions Full plugin architecture (slash commands, sub-agents, MCP servers) 10 real workflows you can copy-paste today Giving it away for free. ✅ Follow me ✅ RT + Like this post ✅ Comment "PLUGINS" below I'll DM it to you directly

I underestimated how powerful Opus 4.6 with 1M tokens is. Even last year we were absolutely hitting context limit problems constantly. 1M tokens means you can do much more complex analysis entirely in context. Claude Code is so much better. This is the worst it will ever be.

@pierreeliottlal Agents

I built a 3-agent SDR team using Claude Opus 4.6. Research. Qualification. Closing. Most B2B teams still run outbound like it’s 2019. Manual research. Gut-feel qualification. Random demos. Meanwhile, AI agents: • Detect buying signals • Qualify leads in real time • Start & manage conversations • Book meetings automatically So I built 3 agents that run the entire SDR workflow. You give ICP + product. They do the rest. Want access? Connect with me Comment “AGENTS”

Hey @Delta system flagged me as age 2, then 15. 5+ hours lost. Denied compensation. Director unresponsive. DOT complaint filed. #Delta

@shiftj How is this different than Monaco?

At a YC dinner last week, a founder casually mentioned they're not hiring sales anymore. "So.. how do you do outbound?" "14 AI agents." Thought they were messing with me, but they showed me the dashboard - it's real. Agents handling: - Onboarding - Support → feedback - Feedback → PRDs - PRDs → features - Features → marketing - Marketing → lookalike targeting - Outbound to those lookalikes The entire growth loop. Semi-automated. Asked if I could use it: "Custom. internal only." Fair enough. -- Update: Built my own version of it. First pass took two weeks. It's running now. (Screen recording in replies)

@Glitch_Trades Heatseeker

Who wants my OpenClaw settings for the Fully Autonomous Trader? Smash the Like + Retweet + Comment 'Heatseeker' and I'll drop the .MD file.

@garrytan Having been in the adtech 15yrs and seeing the change in the customer journey we are spending an inordinate amount of time on on this. I literally posted agents will need be programmatic days ago on LinkedIn. The way to get discovered is using a share of model/feature flags.

One of the most important questions for founders is: How do I make sure agents know about my product and service and choose it? All the old tricks won’t work. People who figure this out will win big

@Jacobsklug @openclaw @Lovable OS

I'm giving away my entire @openclaw architecture. Behind my $250k/month agency. After weeks of building, I've dialled in the exact system that runs my business 24/7. What's included: • Memory folder structure (how to organize agent context) • Cron job templates (daily briefs, meeting syncs, content automation) • How to build a custom dashboard in @lovable • API reference doc (so your agent never forgets its tools) • Voice training method (85 posts to teach it your style) • Supabase schema for dashboard connection Comment "OS" and follow. I'll DM it to you. P.S. This will probably blow up so give me some time to reply.

@AyusoValue I run these all the time and use for deciding how to allocate just need to triple check for hallucinations.

I’m honestly blown away that Claude integrated into Excel can build a full DCF model in 10 minutes just by answering 4 questions. A lot of tasks are becoming pure commodities, if you don’t keep up, you’re done.

@DBVolkov Kind of nerding out on this. Visualizations like this make me happy. Thanks for sharing.

@akoratana the data/storage/networking/compute. Super high level in adtech specifically you have to make decisions super quickly. So would this be valuable absolutely, but only insofar as it were actionable in the timeframe required to drive value. Let me know your thoughts.

@akoratana Normally I don’t respond to things like this. I used to run global ad tech at Aerospike NoSQL database. First you are not wrong. That said there is quite some nuance to the problem you are stating. One of the major issues is the multi model data ontologies required.

@akoratana I’m not saying it’s not needed, and I’m not saying it’s not valuable. Far from it in fact. I’m saying that for the cost of doing business, how much incremental value could be gained from having this information. Then you have to overlay contribution margin to see if scaling …

@akoratana For this problem to be fully solved you need at least 4 different data patterns. 1) Vector 2) Graph 3) Time Series 4) Fuzzy Logic/Semantic Search. When balancing all of this, the question becomes how much value can be created by doing all of this vs the cost to do this.

@califpizzakitchen Got takeout at CPK LAS. Manager-handled order. Charged for my daughter’s fettuccine alfredo that never made it into the bag. Found out on the plane. Disappointing. I’ve contacted CPK directly and posted a factual Yelp review — hoping to resolve appropriately.

@zerohedge The best minds in the world have said we are moving too fast and they say roughly 10% chance we have a hard take off that goes badly. Not nontrivial at all. Would you get on plane you know might crash with 10% certainty?

Is This The ScAIriest Chart In The World? zerohedge.com/ai/scairiest-c…