Finally, @NeelNanda5's "How To Become a Mechanistic Interpretability Researcher" contains great advice that generalizes well outside of mechanistic interpretability and I highly recommend checking it out!
https://t.co/oDgLRIPW20 (4/4)
talked to a YC company that scaled from $0 → $2m ARR in their first 6 months with their ENTIRE GTM built off going to conferences.
Here's the playbook they cracked (step by step):
~4 weeks before:
> Post abt the conference and tell attendees exactly how to reach you
> Send personal DMs to the right ppl on LinkedIn and X
> Reply within the hour & lock in 10 top targets to close.
> Send everyone else to your drip email campaign.
Then, set a meeting block of 1-3 days during the conference:
> make shared booking link for the team
> Reserve a quiet café / private dining room
> Pack in 12 meetings per day, 30 min each, with buffer time built in
While you're there:
>Hand every prospect a thoughtful small gift and a personal card
>Single out 5 standout customers whose pain ur product actually solves
>Pull them aside for a casual on-camera Q&A in a solid film spot
>Don't pitch hard.
>Let the conversation breathe and weave your product in naturally.
The 4 weeks after
>Hand the raw footage to a freelance editor + ask for ~15-20 punchy clips with captions.
>Drop a new clip every couple of days on LI / X
> use these clips when you post online about the next conference to keep the momentum
This is the formula, costs less than a few thousand dollars to execute.
They’re on track to end the Y1 at ~$6m ARR (B2B, targeting large enterprises) + STILL not using any other channels for customer acquisition
Q3Labs is Hiring — and Building on Hyperliquid
Hyperliquid just became the most interesting venue in crypto.
We're hiring builders, marketers, and ecosystem operators who already live in the Hype ecosystem.
Who we want:
- Builders — shipped a HIP-3 market, builder front-end, or vault.
- Quants / MMs — outcome pricing, options-like instruments, cross-venue arb.
- Growth / BD — grown a Hype-native product, run a community, moved volume
- Researchers — prediction market design, oracles, resolution systems
Got an idea? We'll help you ship it.
HIP-3 market, HIP-4 outcome product, vault, front-end — whatever it is, we'll cover the gap:
- Engineering
- Go-to-market
- Ecosystem positioning
- Builder-stake strategy
Reach out to us in DM.
The Hype window is open. Let's build.
how to get your startup mentioned by chatgpt, perplexity, and claude:
- publish articles that answer the questions your icp asks llms
- make sure your content is well organized and easy to parse
- add faqs with direct answers to common icp questions
- build comparison pages and alternative pages
- fix your technical issues
- post on reddit threads that rank on page 1 of google
- track which competitors get mentioned and which sources llms cite
- monitor your llm mentions and find gaps
okara ai cmo does all of this automatically
if you’re still planning on launching a crypto neobank you’re likely too late
players like Kast and Ether Fi already captured a huge part of the market
launching a card has no defensibility anymore
40k and a few weeks of api integrations and boom you’ve launched a “neobank”
the real opportunity now is building financial products that are actually hard to replicate
things like:
1. onchain credit and underwriting
2. crypto backed mortgages
3. stablecoin business banking
4. stablecoin payroll
just to name a few*
the next winners won’t be the cleanest neobank UI
they’ll be the companies building the financial rails nobody else can easily replicate
at dinner in sf with a bunch of my UC Berkeley friends from my computer science club
asked if they’re on twitter & 100% of them (who are all in tech) said no
we are in a super small bubble you guys
prob only 2.5k people are at the frontier of AI rn
let that sink in
Nucleus is hiring a summer intern.
Ideal for a student who loves venture, startups, podcasts, and the internet.
You’ll support @TheRisePod and Nucleus across X, LinkedIn, Substack, and other channels we have shown zero love to. Clipping, writing, posting, etc.
We’ll have a lot of events in SF and NYC this summer, so local is ideal. Come do excellent work and we’ll get you in the room.
Remote in the US works too.
YC named AI-native service companies as one of their 2026 bets.
We've been running this model for three years now.
ColdIQ: $7M+ ARR, 70 active clients, 30+ team across 10 countries. Bootstrapped.
Here's what's actually inside it:
The model: Services-as-software. Sell a service, but automate the delivery so deeply you scale like a software company. Software margins on agency-tier ticket prices. No years of programming. Just three workflows that compress what used to take a team.
The lever: Our GTM engineer used to top out at 4 active clients. Today the same role runs 13. Same person, same calibre of work, same retention. Cost per client stayed flat. Revenue per team member nearly tripled.
That's the entire game.
Workflow 1: The internal list builder. Built on Lovable over 9 months. The operator dictates an ICP query in plain language with WhisperFlow. The tool parses it, sets the filters, runs the search, and pushes the list directly into Clay for enrichment. Half a day in two UIs collapses to minutes. The full-time list-builder role becomes a few minutes of dictation.
Workflow 2: Sequence writing inside Clay. Twain integration. Campaign brief and persona sit as inputs. Every enriched lead in the Clay table flows in carrying its context. Twain reads the brief and writes a fully personalised three-step sequence per lead. The output sits in the same Clay table, ready for deployment. The 1-2 full-time copywriters every agency carries get replaced by an integration.
Workflow 3: Campaign deployment via Claude Code. Pure admin. We deleted the role. The operator gives one instruction. Claude Code calls the Instantly API, configures the campaign, maps the data, and reports back when it's live. Hours of admin per campaign collapses to one line.
Three workflows. Three full-time roles eliminated. One GTM engineer running 13 clients instead of 4.
That's what AI-native services looks like in production.
YC's RFS lists insurance brokerage, accounting, audit, compliance, healthcare administration. The model works in every one. And in 50 more they didn't list. Outbound, recruitment, paid media, customer support, ABM.
Every category has an outsourced services budget bigger than the software stack underneath, and every delivery layer compresses cleanly when you build the right three or four workflows.
we’re hiring: founder’s office at @RaethLabs
this one is immediate.
the rest of the interview processes for other roles will continue later on. right now, we’re looking for someone who can jump in fast and start building with us immediately.
this is not a “take notes in meetings” role.
you’ll work directly with the founder across:
product launches
growth experiments
AI workflows
partnerships
hiring
random 3am ideas that somehow become real companies two weeks later
you should apply if:
you execute absurdly fast
you can survive chaos without needing a playbook
you can write, ship, research, recruit, organize, and figure things out without being handheld
you’re online too much
you know how internet culture works
you care about building things that actually matter
bonus points if:
you’ve built weird side projects
you’ve made money online
you’ve used AI tools obsessively
you can turn a half-broken idea into something usable overnight
location: internet
compensation: competitive
hours: yes
how to apply:
follow me, and skim through my post's and articles to tell me exactly how you plan on doing product launches.
DM me your plan
16VC is hiring Summer Interns globally. Great opportunity for students and early-stage builders looking to work with a fast-growing venture capital ecosystem focused on startups, AI, and emerging tech.
Apply here: https://t.co/PdU9N6TxZP 🌍
#Internships#RemoteJobs#VC
the trillion-dollar tokenization migration is underway.
but most of today's $321B of tokenized assets are "dumb" wrappers, not products that will carry the next decade of capital markets
what comes next?
introducing our State of Tokenization report:
https://t.co/bbhfSUDMBA