dan preiss

@jerzzhang @harris Looks sick. Any plans to open source?

I'm a chronic tinkerer of my own schedule and process. Recently it compounded into Nerve, the multiagent OS that runs my life AND Finch (Series B, 100+ employees). 3,000+ brain notes, 145 background jobs, agents running on Ralph loops.🧵

@lukepierceops ASSESSMENT

A private equity firm came to us last quarter convinced they needed a custom AI build. We ran our standard audit first. Seven phases across three weeks. By the end, time spent on one of their core processes was on track to drop around 70%. And half of what they thought they needed didn't need to be built at all. That's usually how it goes. The audit is the part nobody wants to do because it's slow and unsexy. It's also the part that decides whether everything that comes after is worth a damn. I packaged the entire process into a self-serve SOP. Same framework we use across our engagements, written so an internal ops lead can run it themselves. What's inside: → The 7-phase audit framework → Stakeholder interview script → Process shadowing playbook → Current state mapping templates → Opportunity scoring matrix → ROI modeling and future state design → Audit document structure for leadership → 10 mistakes that tank internal audits Like + RT + Comment "ASSESSMENT" and I'll DM it to you. Make sure you're following me so I can DM.

@Jason I'm in

We started an AI founder twitter group... reply with "I'm in" if you're a founder and want to be added

Check out @pbronner’s Why We Invested on Sooth Labs. Phenomenal team with a big idea.

Which emerging VCs have the strongest early-stage picking alpha? Standard emerging manager evaluation still leans heavily on qualitative signals – GP background, thesis articulation, founder references. All useful, but by the time TVPI and DPI tell you something meaningful, you're usually already in or already too late. So I experimented with a quantitative framework to answer a core LP allocator question: which small, early-stage fund managers consistently back seed-stage companies that go on to raise exceptional Series A rounds – before those outcomes are visible to the broader market? I started with @harmonic_ai Scout (my fav research tool!) and checked every company globally that raised a first pre-seed or seed round between 2022–2026 (Post-ZIRP). The funnel looks like this: 1/ 55,491 companies raised a pre-seed or seed round – the full opportunity set 2/ 4,368 (7.9%) went on to raise a Series A – the base rate, roughly 1 in 13 3/ 764 (1.4%) qualified as Tier 1 Breakouts – above-median Series A for their vintage year, with at least one top-tier institutional VC (from a defined set of 38 firms: @a16z, @sequoia, @lightspeedvp, @IndexVentures, and peers) For each of those 1,604 companies, I traced back to every investor who backed them at pre-seed or seed — before the outcome was visible. 4,176 unique investors across the breakout set. Then I computed a simple ratio for each: breakout companies backed at seed divided by total seed investments in the period. I'm calling this the "Tier 1 Concentration Rate". After filtering out mega-platforms, accelerators, CVCs, and angels and requiring a minimum of 10 seed deals – 20 emerging managers (sub-$250M AUM) surfaced with notably high concentration rates. A few things stood out: 1/ Several micro-funds under $100M were placing 25–35% of their seed bets into companies that later raised from @Sequoia, @a16z, @lightspeedvp – consistently, not as one-off flukes. 2/ Participant concentration and lead concentration are different signals. Participant = network and access. Lead = independent conviction before consensus forms. For LP diligence, these deserve to be evaluated separately. 3/ The data has real limitations: ~12% of breakout companies had no named seed investor in the database, we can't cleanly separate Fund I from Fund III for a given manager, and small sample sizes mean some high concentration rates likely reflect luck rather than repeatable skill. But the core idea holds. "Tier 1 Concentration Rate" is an early, measurable signal of picking ability – observable years before fund-level metrics tell you anything. For LP allocators evaluating Fund I–III managers, that timing gap is the whole problem. This is one attempt to close it. What’s your take on this experiment?

@lukepierceops Playbook

Late 2024: AI agencies sold n8n workflows for $2-$5K. Mid 2025: they pivoted to AI agents for $5-15K. Today: Claude Code ships in hours what used to take weeks, and most agencies are still pitching 2024's playbook. I spent 2 months rewriting mine for where we actually are in April 2026. Inside: → The offer closing $25K-$60K projects right now → Top 5 industries worth selling to this quarter → Content schedule generating my inbound (exact post types + cadence) → LinkedIn + cold email sequences booking calls today → My 4-call sales process from first touch to signed → The strategy doc + proposal template I'm using to close → 3 live client builds my team is shipping this quarter BONUS: First 100 people also get 2 discovery call recordings from my own sales process. Like + RT + reply PLAYBOOK and I'll DM you the link. Make sure to follow me so I can DM you.

Fun fact: Nokia started as a paper mill.

@aschwags3 @jspujji GA

This quarter, I’ve closed multiple $1M+ without a slide deck. I’m using a single AI tool. Today, I want to share it, free. After signing, a prospect asked me how we created the site. They were so wow-ed they wanted it for their own clients. Here’s what floored them: it took a single designer 5 minutes to prompt and launch. The AI chains together 6 key parts of our sales process, turning a 18-page deck into a single, personalized website. When they asked, I gave them this template and workflow. Now I want to share it for free: Follow me + comment “GA” and I’ll DM it.

@linecook @Zoschin might be leading the pack!

@linecook 🔥

Hey everyone, we’re Nick & Nick! For years, we’ve been the guys spamming group chats with pics of our latest home cooking experiments. Burnt edges, perfect sauces, glorious disasters, and the rare meal that feels straight out of a Michelin kitchen. But we kept asking ourselves: why don’t we have a real home for this hobby? Bookworms have Goodreads Runners have Strava Chess nerds have chess .com Cooks? We’ve got… blurry iMessage threads and disappearing Instagram stories?? So we built Linecook, it’s Strava for home cooking. A place to • Track your cooking memories and milestones • Save every recipe you’ve nailed, bombed, or want to try one day • Celebrate every meal you make with your own two hands We’re officially coming out of stealth today. Linecook is now in open beta on TestFlight, and we’re looking for passionate home cooks to join our community and help shape it. If you love cooking, we want you in! Join the beta at linecook.com And follow along as we build your new favorite social app!

@AlfieJCarter COLD

If you don't have my "Claude Cowork Cold Email System" yet... The one I built to run a fully automated cold email operation through Claude with a complete system across copy generation, sequence logic, deliverability rules, and inbox management... Just comment "COLD" and I'll DM it to you for free (must follow)

@dashboardlim AUTOMATE

I've created a full guide on how to automate 14 sales tasks Covered from lead capture and follow-ups to proposals, CRM updates, sales training, forecasting, and more All these will save you so many hrs/mo Like + Comment "AUTOMATE" and I'll DM you the guide

@dan__rosenthal AGENTS

I’m all in on AI-Native agencies. Before, agencies required: 1. Low margins 2. Manual work 3. More people to grow. Now: They’ll look more like software companies. (with 10x higher price points) Our goal at Workflows is to become the no. 1 "service-as-software" for GTM. Right now, we have 13 agents in our org chart. And we’re “hiring” 10 more. This is our plan to stay an extremely lean team. (comment AGENTS and I’ll send you our full org chart) Across departments: 1. Content Team • Competitor Research Agent • Content Ideator Agent • Interviewer Agent • Designer Agent • Repurposer Agent • Newsletter Agent • Client Track Agent 2. GTM Team • List Building Agent • Qualification Agent • Outbound Plays Strategist Agent • Copywriter Agent 3. Sales Team • Pre-Call Assistant Agent • CRM Assistant Agent • Email Assistant Agent • Sales Analyst Agent 4. Project Management Team • Project Tracker Agent • Outbound Reporting Agent • LinkedIn Reporting Agent 5. Customer Success Team • ICP Matrix Agent • Company Research Agent • Meeting Summarizer Agent • Onboarding Agent • Expansion Agent Want our full agents + humans org chart we’re using to scale? Comment "Agents" and I’ll DM it to you. (must be following)

This is the future of malleable software. This isn't just a chat agent in your CRM. This is an agent capable of building new features within your app. This will have massive implications. Still wrapping my head around it...

@lukepierceops AGENCY

I went from $500 Upwork projects to $500K+/year selling AI systems. I legitimately made every mistake you can make. Undercharging, scope creep, building without mapping, hiring wrong, pricing hourly. Then I figured out what actually works and doubled down. I put the entire playbook into a free guide. Here's what's inside: → How I went from Zapier gigs to $25K-$60K projects → The pricing shift that 5x'd my revenue (and the exact formulas) → My 4-call sales process for closing $25K-$60K+ deals → The discovery framework that turns calls into signed contracts → How I built a dev team without burning cash → The fulfillment system that keeps clients for years → How I position against agencies 10x my size and WIN → The content engine that fills my pipeline without ads or cold outreach → Every mistake I made and what I'd do differently starting from zero This took 4 years, 80+ clients, and a lot of painful lessons. Yours for free. RT + reply "AGENCY" and I'll send it over. (Must follow so I can DM

AI is unlocking massive gains for those who know how to use it and creating liabilities (accuracy, quality, taste) for those that don’t.

In order to have a sense of AI adoption right now, you really need to have one foot at the bleeding edge with the kids Wispr-ing through a mic at Devin all day and one foot in the 99% enterprise world where they’re still debating the merits of leaving “bundled-MSFT-ELA-Copilot”

Someone launched a website where AI agents hire humans for their bodies We’re not even the main characters in the simulation anymore

@advaitpaliwal @monk_forge68 it kept asking me to run clawd locally

@monk_forge68 Ask your os to help you configure it! It should be able to.

Introducing Companion OS, an AI operating system. It's the fastest way to self-host moltbot (formerly clawdbot) without buying any hardware. No waitlist, go check it out. os.companion.ai