after building in stealth for a year, I'm finally ready to share what @cjquinn10 , the team, and I have been working on.
@superconnector is live.
more to come this week.
sign up today at https://t.co/nDIYzVtVIv
warm intros convert 5-10x better than cold outreach. everyone knows this. cold email is still a $10B industry. people would rather buy a solution than change a behavior
@garrytan the politicians blocking data centers are the same ones complaining about tech job losses. the infrastructure is the jobs. someone should tell them
@sama for internal tools: speed wins. for customer-facing: intelligence wins. most startups get this backwards and wonder why their infra costs are out of control.
Introducing Applied Labs, the world's first truly AI native CX platform.
Enterprise CX companies have completely ignored the mid market, which is the hungriest buyer in software right now.
They're overpaying for tools, understaffed, and losing customers to churn signals buried across systems.
Until now.
With @_appliedlabs, you get AI agents + help desk + CRM with outcome based pricing and no per seat fees.
Full visibility into what your AI is doing, intuitive no code control over how it behaves, and zero critical errors in production.
Our process-
Hour 0: Sign up
Hour 1: Connect existing systems
Hour 2: AI Agent auto builds
Hour 3: First real result, fully auditable
It's that simple.
been waiting for this. @ndrewpignanelli has been thinking about the future of company building longer than anyone i know. cofounder 2 is the real vision not just AI tools, but an actual operating system for a one person billion $ company. proud early supporter. go check it out
Announcing Cofounder 2: Run an entire company with agents.
It's the infrastructure for the one person billion dollar company - orchestrating agents across engineering, sales, marketing, ops, and design.
(and yes that's my real grandma in the video)
this is what your network looks like when it actually works for you
every @Superconnector action — finding leads, querying vendors, making intros — now runs inside your AI agent
we shipped our CLI & MCP today.
people keep asking about my ai setup so here it is.
i run my entire life through an ai assistant. calendar, crm, meeting prep, security monitoring, trading signals, content generation. 37 automated jobs running daily on a mac mini m4 with 16gb of ram.
all of it used to hit apis. have been doing this a couple months now. the bill was getting stupid.
then i saw @leopardracer 's post on tiered local models and it clicked. took the concept and built it into a full production system in one night using @openclaw . here's what's running right now.
three tiers. one machine. zero api cost.
tier 1, the gatekeeper (2.3b params, gemma 4 e2b): every inbound message gets classified in 430ms before claude ever wakes up. question, request, greeting, acknowledgment. if someone texts "sounds good" the system handles it locally. no frontier model burned. @leopardracer benchmarked this at 1.9s. we got it under half a second.
tier 2, the workhorse (4.5b params, gemma 4 e4b): runs all the background cron jobs. security audits, data syncs, health checks, backup verification. structured tasks that need reliability, not brilliance. runs 24/7. costs nothing.
tier 3, the heavy (35b params, qwen via llama.cpp): lives on ssd, pages into ram on demand via mmap. no memory competition with the other two. handles context compression before expensive calls. slow but free.
all three coexist on 16gb ram. ollama keeps two models hot simultaneously. the heavy model borrows disk instead of memory. the gatekeeper fires at the gateway level before the ai agent even spins up.
that last part is the real unlock. most ai cost isn't hard problems. it's expensive models processing simple messages.
the game isn't "replace the api." it's "stop calling it when you don't need to."
background automation: $0. the frontier model still handles everything that matters. planning, reasoning, complex conversations. i just stopped paying it to process "ok cool."
local models aren't competing with cloud models. they don't need to be. for structured, predictable work they're already there. the quality gap closed faster than anyone expected.
if you're running @openclaw or any ai agent framework and your api bill keeps climbing: one mac mini. one night of setup. zero ongoing cost for the 80% of work that never needed a frontier model in the first place.
a new user messaged @cjquinn10 and I saying she'd made $5,000 worth of introductions. in 48 hours.
the most valuable currency in business isn't cold outreach or ad spend. it's trust.
one week post launch:
- weekly active users up over 50x
- 100+ companies reached out to join the platform
- a VP of Sales messaged us: "I've been waiting for this channel since the beginning of my career."
this week has proven that @Superconnector is the infrastructure the world has been waiting for
the network economy is here.